Podcasts about aws reinvent

Maribel Lopez of Lopez Research hosted a podcast at AWS Reinvent, discussing QuickSight with ATracy Daugherty GM, QuickSight at Amazon Web Service and Travis Muhlestein, Chief Data and Analytics Officer at GoDaddy. QuickSight, a cloud-based BI tool, enables real-time data sharing and decision-making through dashboards, pixel-perfect reports, and Q for asking data questions. In the podcast, Muhlstein shares how QuickSight has transformed GoDaddy's approach from static dashboards to real-time, interactive data exploration and analysis, enabling more agile, data-driven decision-making across the organization.Follow the guests at:Maribel Lopez https://www.linkedin.com/in/maribellopez/Travis Muhlestein, Chief Data and Analytics Officer at GoDaddy https://www.linkedin.com/in/travis-muhlestein/Tracy Daugherty GM, QuickSight at Amazon Web Services https://www.linkedin.com/in/tracy-daugherty-28a1014/

Review of SC24, RISC-V Summit, and AWS Reinvent. Topics include: HPC and AI Clouds, CXL, Liquid Cooling, Optical Interconnects, Optical Computing, Novel CPUs and GPUs, the state of RISC-V in servers and supercomputers, TOP500, Chiplets, AWS CPU and GPU strategies. [audio mp3="https://orionx.net/wp-content/uploads/2025/01/095@HPCpodcast_SP_Adrian-Cockcroft_SC24-RISCV_AWS-Reinvent-Q2B-Events_20250108.mp3"][/audio] The post @HPCpodcast-95: Adrian Cockcroft on SC24, RISC-V Summit, AWS Reinvent appeared first on OrionX.net.

Applications for the 2025 AI Engineer Summit are up, and you can save the date for AIE Singapore in April and AIE World's Fair 2025 in June.Happy new year, and thanks for 100 great episodes! Please let us know what you want to see/hear for the next 100!Full YouTube Episode with Slides/ChartsLike and subscribe and hit that bell to get notifs!Timestamps* 00:00 Welcome to the 100th Episode!* 00:19 Reflecting on the Journey* 00:47 AI Engineering: The Rise and Impact* 03:15 Latent Space Live and AI Conferences* 09:44 The Competitive AI Landscape* 21:45 Synthetic Data and Future Trends* 35:53 Creative Writing with AI* 36:12 Legal and Ethical Issues in AI* 38:18 The Data War: GPU Poor vs. GPU Rich* 39:12 The Rise of GPU Ultra Rich* 40:47 Emerging Trends in AI Models* 45:31 The Multi-Modality War* 01:05:31 The Future of AI Benchmarks* 01:13:17 Pionote and Frontier Models* 01:13:47 Niche Models and Base Models* 01:14:30 State Space Models and RWKB* 01:15:48 Inference Race and Price Wars* 01:22:16 Major AI Themes of the Year* 01:22:48 AI Rewind: January to March* 01:26:42 AI Rewind: April to June* 01:33:12 AI Rewind: July to September* 01:34:59 AI Rewind: October to December* 01:39:53 Year-End Reflections and PredictionsTranscript[00:00:00] Welcome to the 100th Episode![00:00:00] Alessio: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co host Swyx for the 100th time today.[00:00:12] swyx: Yay, um, and we're so glad that, yeah, you know, everyone has, uh, followed us in this journey. How do you feel about it? 100 episodes.[00:00:19] Alessio: Yeah, I know.[00:00:19] Reflecting on the Journey[00:00:19] Alessio: Almost two years that we've been doing this. We've had four different studios. Uh, we've had a lot of changes. You know, we used to do this lightning round. When we first started that we didn't like, and we tried to change the question. The answer[00:00:32] swyx: was cursor and perplexity.[00:00:34] Alessio: Yeah, I love mid journey. It's like, do you really not like anything else?[00:00:38] Alessio: Like what's, what's the unique thing? And I think, yeah, we, we've also had a lot more research driven content. You know, we had like 3DAO, we had, you know. Jeremy Howard, we had more folks like that.[00:00:47] AI Engineering: The Rise and Impact[00:00:47] Alessio: I think we want to do more of that too in the new year, like having, uh, some of the Gemini folks, both on the research and the applied side.[00:00:54] Alessio: Yeah, but it's been a ton of fun. I think we both started, I wouldn't say as a joke, we were kind of like, Oh, we [00:01:00] should do a podcast. And I think we kind of caught the right wave, obviously. And I think your rise of the AI engineer posts just kind of get people. Sombra to congregate, and then the AI engineer summit.[00:01:11] Alessio: And that's why when I look at our growth chart, it's kind of like a proxy for like the AI engineering industry as a whole, which is almost like, like, even if we don't do that much, we keep growing just because there's so many more AI engineers. So did you expect that growth or did you expect that would take longer for like the AI engineer thing to kind of like become, you know, everybody talks about it today.[00:01:32] swyx: So, the sign of that, that we have won is that Gartner puts it at the top of the hype curve right now. So Gartner has called the peak in AI engineering. I did not expect, um, to what level. I knew that I was correct when I called it because I did like two months of work going into that. But I didn't know, You know, how quickly it could happen, and obviously there's a chance that I could be wrong.[00:01:52] swyx: But I think, like, most people have come around to that concept. Hacker News hates it, which is a good sign. But there's enough people that have defined it, you know, GitHub, when [00:02:00] they launched GitHub Models, which is the Hugging Face clone, they put AI engineers in the banner, like, above the fold, like, in big So I think it's like kind of arrived as a meaningful and useful definition.[00:02:12] swyx: I think people are trying to figure out where the boundaries are. I think that was a lot of the quote unquote drama that happens behind the scenes at the World's Fair in June. Because I think there's a lot of doubt or questions about where ML engineering stops and AI engineering starts. That's a useful debate to be had.[00:02:29] swyx: In some sense, I actually anticipated that as well. So I intentionally did not. Put a firm definition there because most of the successful definitions are necessarily underspecified and it's actually useful to have different perspectives and you don't have to specify everything from the outset.[00:02:45] Alessio: Yeah, I was at um, AWS reInvent and the line to get into like the AI engineering talk, so to speak, which is, you know, applied AI and whatnot was like, there are like hundreds of people just in line to go in.[00:02:56] Alessio: I think that's kind of what enabled me. People, right? Which is what [00:03:00] you kind of talked about. It's like, Hey, look, you don't actually need a PhD, just, yeah, just use the model. And then maybe we'll talk about some of the blind spots that you get as an engineer with the earlier posts that we also had on on the sub stack.[00:03:11] Alessio: But yeah, it's been a heck of a heck of a two years.[00:03:14] swyx: Yeah.[00:03:15] Latent Space Live and AI Conferences[00:03:15] swyx: You know, I was, I was trying to view the conference as like, so NeurIPS is I think like 16, 17, 000 people. And the Latent Space Live event that we held there was 950 signups. I think. The AI world, the ML world is still very much research heavy. And that's as it should be because ML is very much in a research phase.[00:03:34] swyx: But as we move this entire field into production, I think that ratio inverts into becoming more engineering heavy. So at least I think engineering should be on the same level, even if it's never as prestigious, like it'll always be low status because at the end of the day, you're manipulating APIs or whatever.[00:03:51] swyx: But Yeah, wrapping GPTs, but there's going to be an increasing stack and an art to doing these, these things well. And I, you know, I [00:04:00] think that's what we're focusing on for the podcast, the conference and basically everything I do seems to make sense. And I think we'll, we'll talk about the trends here that apply.[00:04:09] swyx: It's, it's just very strange. So, like, there's a mix of, like, keeping on top of research while not being a researcher and then putting that research into production. So, like, people always ask me, like, why are you covering Neuralibs? Like, this is a ML research conference and I'm like, well, yeah, I mean, we're not going to, to like, understand everything Or reproduce every single paper, but the stuff that is being found here is going to make it through into production at some point, you hope.[00:04:32] swyx: And then actually like when I talk to the researchers, they actually get very excited because they're like, oh, you guys are actually caring about how this goes into production and that's what they really really want. The measure of success is previously just peer review, right? Getting 7s and 8s on their um, Academic review conferences and stuff like citations is one metric, but money is a better metric.[00:04:51] Alessio: Money is a better metric. Yeah, and there were about 2200 people on the live stream or something like that. Yeah, yeah. Hundred on the live stream. So [00:05:00] I try my best to moderate, but it was a lot spicier in person with Jonathan and, and Dylan. Yeah, that it was in the chat on YouTube.[00:05:06] swyx: I would say that I actually also created.[00:05:09] swyx: Layen Space Live in order to address flaws that are perceived in academic conferences. This is not NeurIPS specific, it's ICML, NeurIPS. Basically, it's very sort of oriented towards the PhD student, uh, market, job market, right? Like literally all, basically everyone's there to advertise their research and skills and get jobs.[00:05:28] swyx: And then obviously all the, the companies go there to hire them. And I think that's great for the individual researchers, but for people going there to get info is not great because you have to read between the lines, bring a ton of context in order to understand every single paper. So what is missing is effectively what I ended up doing, which is domain by domain, go through and recap the best of the year.[00:05:48] swyx: Survey the field. And there are, like NeurIPS had a, uh, I think ICML had a like a position paper track, NeurIPS added a benchmarks, uh, datasets track. These are ways in which to address that [00:06:00] issue. Uh, there's always workshops as well. Every, every conference has, you know, a last day of workshops and stuff that provide more of an overview.[00:06:06] swyx: But they're not specifically prompted to do so. And I think really, uh, Organizing a conference is just about getting good speakers and giving them the correct prompts. And then they will just go and do that thing and they do a very good job of it. So I think Sarah did a fantastic job with the startups prompt.[00:06:21] swyx: I can't list everybody, but we did best of 2024 in startups, vision, open models. Post transformers, synthetic data, small models, and agents. And then the last one was the, uh, and then we also did a quick one on reasoning with Nathan Lambert. And then the last one, obviously, was the debate that people were very hyped about.[00:06:39] swyx: It was very awkward. And I'm really, really thankful for John Franco, basically, who stepped up to challenge Dylan. Because Dylan was like, yeah, I'll do it. But He was pro scaling. And I think everyone who is like in AI is pro scaling, right? So you need somebody who's ready to publicly say, no, we've hit a wall.[00:06:57] swyx: So that means you're saying Sam Altman's wrong. [00:07:00] You're saying, um, you know, everyone else is wrong. It helps that this was the day before Ilya went on, went up on stage and then said pre training has hit a wall. And data has hit a wall. So actually Jonathan ended up winning, and then Ilya supported that statement, and then Noam Brown on the last day further supported that statement as well.[00:07:17] swyx: So it's kind of interesting that I think the consensus kind of going in was that we're not done scaling, like you should believe in a better lesson. And then, four straight days in a row, you had Sepp Hochreiter, who is the creator of the LSTM, along with everyone's favorite OG in AI, which is Juergen Schmidhuber.[00:07:34] swyx: He said that, um, we're pre trading inside a wall, or like, we've run into a different kind of wall. And then we have, you know John Frankel, Ilya, and then Noam Brown are all saying variations of the same thing, that we have hit some kind of wall in the status quo of what pre trained, scaling large pre trained models has looked like, and we need a new thing.[00:07:54] swyx: And obviously the new thing for people is some make, either people are calling it inference time compute or test time [00:08:00] compute. I think the collective terminology has been inference time, and I think that makes sense because test time, calling it test, meaning, has a very pre trained bias, meaning that the only reason for running inference at all is to test your model.[00:08:11] swyx: That is not true. Right. Yeah. So, so, I quite agree that. OpenAI seems to have adopted, or the community seems to have adopted this terminology of ITC instead of TTC. And that, that makes a lot of sense because like now we care about inference, even right down to compute optimality. Like I actually interviewed this author who recovered or reviewed the Chinchilla paper.[00:08:31] swyx: Chinchilla paper is compute optimal training, but what is not stated in there is it's pre trained compute optimal training. And once you start caring about inference, compute optimal training, you have a different scaling law. And in a way that we did not know last year.[00:08:45] Alessio: I wonder, because John is, he's also on the side of attention is all you need.[00:08:49] Alessio: Like he had the bet with Sasha. So I'm curious, like he doesn't believe in scaling, but he thinks the transformer, I wonder if he's still. So, so,[00:08:56] swyx: so he, obviously everything is nuanced and you know, I told him to play a character [00:09:00] for this debate, right? So he actually does. Yeah. He still, he still believes that we can scale more.[00:09:04] swyx: Uh, he just assumed the character to be very game for, for playing this debate. So even more kudos to him that he assumed a position that he didn't believe in and still won the debate.[00:09:16] Alessio: Get rekt, Dylan. Um, do you just want to quickly run through some of these things? Like, uh, Sarah's presentation, just the highlights.[00:09:24] swyx: Yeah, we can't go through everyone's slides, but I pulled out some things as a factor of, like, stuff that we were going to talk about. And we'll[00:09:30] Alessio: publish[00:09:31] swyx: the rest. Yeah, we'll publish on this feed the best of 2024 in those domains. And hopefully people can benefit from the work that our speakers have done.[00:09:39] swyx: But I think it's, uh, these are just good slides. And I've been, I've been looking for a sort of end of year recaps from, from people.[00:09:44] The Competitive AI Landscape[00:09:44] swyx: The field has progressed a lot. You know, I think the max ELO in 2023 on LMSys used to be 1200 for LMSys ELOs. And now everyone is at least at, uh, 1275 in their ELOs, and this is across Gemini, Chadjibuti, [00:10:00] Grok, O1.[00:10:01] swyx: ai, which with their E Large model, and Enthopic, of course. It's a very, very competitive race. There are multiple Frontier labs all racing, but there is a clear tier zero Frontier. And then there's like a tier one. It's like, I wish I had everything else. Tier zero is extremely competitive. It's effectively now three horse race between Gemini, uh, Anthropic and OpenAI.[00:10:21] swyx: I would say that people are still holding out a candle for XAI. XAI, I think, for some reason, because their API was very slow to roll out, is not included in these metrics. So it's actually quite hard to put on there. As someone who also does charts, XAI is continually snubbed because they don't work well with the benchmarking people.[00:10:42] swyx: Yeah, yeah, yeah. It's a little trivia for why XAI always gets ignored. The other thing is market share. So these are slides from Sarah. We have it up on the screen. It has gone from very heavily open AI. So we have some numbers and estimates. These are from RAMP. Estimates of open AI market share in [00:11:00] December 2023.[00:11:01] swyx: And this is basically, what is it, GPT being 95 percent of production traffic. And I think if you correlate that with stuff that we asked. Harrison Chase on the LangChain episode, it was true. And then CLAUD 3 launched mid middle of this year. I think CLAUD 3 launched in March, CLAUD 3. 5 Sonnet was in June ish.[00:11:23] swyx: And you can start seeing the market share shift towards opening, uh, towards that topic, uh, very, very aggressively. The more recent one is Gemini. So if I scroll down a little bit, this is an even more recent dataset. So RAM's dataset ends in September 2 2. 2024. Gemini has basically launched a price war at the low end, uh, with Gemini Flash, uh, being basically free for personal use.[00:11:44] swyx: Like, I think people don't understand the free tier. It's something like a billion tokens per day. Unless you're trying to abuse it, you cannot really exhaust your free tier on Gemini. They're really trying to get you to use it. They know they're in like third place, um, fourth place, depending how you, how you count.[00:11:58] swyx: And so they're going after [00:12:00] the Lower tier first, and then, you know, maybe the upper tier later, but yeah, Gemini Flash, according to OpenRouter, is now 50 percent of their OpenRouter requests. Obviously, these are the small requests. These are small, cheap requests that are mathematically going to be more.[00:12:15] swyx: The smart ones obviously are still going to OpenAI. But, you know, it's a very, very big shift in the market. Like basically 2023, 2022, To going into 2024 opening has gone from nine five market share to Yeah. Reasonably somewhere between 50 to 75 market share.[00:12:29] Alessio: Yeah. I'm really curious how ramped does the attribution to the model?[00:12:32] Alessio: If it's API, because I think it's all credit card spin. . Well, but it's all, the credit card doesn't say maybe. Maybe the, maybe when they do expenses, they upload the PDF, but yeah, the, the German I think makes sense. I think that was one of my main 2024 takeaways that like. The best small model companies are the large labs, which is not something I would have thought that the open source kind of like long tail would be like the small model.[00:12:53] swyx: Yeah, different sizes of small models we're talking about here, right? Like so small model here for Gemini is AB, [00:13:00] right? Uh, mini. We don't know what the small model size is, but yeah, it's probably in the double digits or maybe single digits, but probably double digits. The open source community has kind of focused on the one to three B size.[00:13:11] swyx: Mm-hmm . Yeah. Maybe[00:13:12] swyx: zero, maybe 0.5 B uh, that's moon dream and that is small for you then, then that's great. It makes sense that we, we have a range for small now, which is like, may, maybe one to five B. Yeah. I'll even put that at, at, at the high end. And so this includes Gemma from Gemini as well. But also includes the Apple Foundation models, which I think Apple Foundation is 3B.[00:13:32] Alessio: Yeah. No, that's great. I mean, I think in the start small just meant cheap. I think today small is actually a more nuanced discussion, you know, that people weren't really having before.[00:13:43] swyx: Yeah, we can keep going. This is a slide that I smiley disagree with Sarah. She's pointing to the scale SEAL leaderboard. I think the Researchers that I talked with at NeurIPS were kind of positive on this because basically you need private test [00:14:00] sets to prevent contamination.[00:14:02] swyx: And Scale is one of maybe three or four people this year that has really made an effort in doing a credible private test set leaderboard. Llama405B does well compared to Gemini and GPT 40. And I think that's good. I would say that. You know, it's good to have an open model that is that big, that does well on those metrics.[00:14:23] swyx: But anyone putting 405B in production will tell you, if you scroll down a little bit to the artificial analysis numbers, that it is very slow and very expensive to infer. Um, it doesn't even fit on like one node. of, uh, of H100s. Cerebras will be happy to tell you they can serve 4 or 5B on their super large chips.[00:14:42] swyx: But, um, you know, if you need to do anything custom to it, you're still kind of constrained. So, is 4 or 5B really that relevant? Like, I think most people are basically saying that they only use 4 or 5B as a teacher model to distill down to something. Even Meta is doing it. So with Lama 3. [00:15:00] 3 launched, they only launched the 70B because they use 4 or 5B to distill the 70B.[00:15:03] swyx: So I don't know if like open source is keeping up. I think they're the, the open source industrial complex is very invested in telling you that the, if the gap is narrowing, I kind of disagree. I think that the gap is widening with O1. I think there are very, very smart people trying to narrow that gap and they should.[00:15:22] swyx: I really wish them success, but you cannot use a chart that is nearing 100 in your saturation chart. And look, the distance between open source and closed source is narrowing. Of course it's going to narrow because you're near 100. This is stupid. But in metrics that matter, is open source narrowing?[00:15:38] swyx: Probably not for O1 for a while. And it's really up to the open source guys to figure out if they can match O1 or not.[00:15:46] Alessio: I think inference time compute is bad for open source just because, you know, Doc can donate the flops at training time, but he cannot donate the flops at inference time. So it's really hard to like actually keep up on that axis.[00:15:59] Alessio: Big, big business [00:16:00] model shift. So I don't know what that means for the GPU clouds. I don't know what that means for the hyperscalers, but obviously the big labs have a lot of advantage. Because, like, it's not a static artifact that you're putting the compute in. You're kind of doing that still, but then you're putting a lot of computed inference too.[00:16:17] swyx: Yeah, yeah, yeah. Um, I mean, Llama4 will be reasoning oriented. We talked with Thomas Shalom. Um, kudos for getting that episode together. That was really nice. Good, well timed. Actually, I connected with the AI meta guy, uh, at NeurIPS, and, um, yeah, we're going to coordinate something for Llama4. Yeah, yeah,[00:16:32] Alessio: and our friend, yeah.[00:16:33] Alessio: Clara Shi just joined to lead the business agent side. So I'm sure we'll have her on in the new year.[00:16:39] swyx: Yeah. So, um, my comment on, on the business model shift, this is super interesting. Apparently it is wide knowledge that OpenAI wanted more than 6. 6 billion dollars for their fundraise. They wanted to raise, you know, higher, and they did not.[00:16:51] swyx: And what that means is basically like, it's very convenient that we're not getting GPT 5, which would have been a larger pre train. We should have a lot of upfront money. And [00:17:00] instead we're, we're converting fixed costs into variable costs, right. And passing it on effectively to the customer. And it's so much easier to take margin there because you can directly attribute it to like, Oh, you're using this more.[00:17:12] swyx: Therefore you, you pay more of the cost and I'll just slap a margin in there. So like that lets you control your growth margin and like tie your. Your spend, or your sort of inference spend, accordingly. And it's just really interesting to, that this change in the sort of inference paradigm has arrived exactly at the same time that the funding environment for pre training is effectively drying up, kind of.[00:17:36] swyx: I feel like maybe the VCs are very in tune with research anyway, so like, they would have noticed this, but, um, it's just interesting.[00:17:43] Alessio: Yeah, and I was looking back at our yearly recap of last year. Yeah. And the big thing was like the mixed trial price fights, you know, and I think now it's almost like there's nowhere to go, like, you know, Gemini Flash is like basically giving it away for free.[00:17:55] Alessio: So I think this is a good way for the labs to generate more revenue and pass down [00:18:00] some of the compute to the customer. I think they're going to[00:18:02] swyx: keep going. I think that 2, will come.[00:18:05] Alessio: Yeah, I know. Totally. I mean, next year, the first thing I'm doing is signing up for Devin. Signing up for the pro chat GBT.[00:18:12] Alessio: Just to try. I just want to see what does it look like to spend a thousand dollars a month on AI?[00:18:17] swyx: Yes. Yes. I think if your, if your, your job is a, at least AI content creator or VC or, you know, someone who, whose job it is to stay on, stay on top of things, you should already be spending like a thousand dollars a month on, on stuff.[00:18:28] swyx: And then obviously easy to spend, hard to use. You have to actually use. The good thing is that actually Google lets you do a lot of stuff for free now. So like deep research. That they just launched. Uses a ton of inference and it's, it's free while it's in preview.[00:18:45] Alessio: Yeah. They need to put that in Lindy.[00:18:47] Alessio: I've been using Lindy lately. I've been a built a bunch of things once we had flow because I liked the new thing. It's pretty good. I even did a phone call assistant. Um, yeah, they just launched Lindy voice. Yeah, I think once [00:19:00] they get advanced voice mode like capability today, still like speech to text, you can kind of tell.[00:19:06] Alessio: Um, but it's good for like reservations and things like that. So I have a meeting prepper thing. And so[00:19:13] swyx: it's good. Okay. I feel like we've, we've covered a lot of stuff. Uh, I, yeah, I, you know, I think We will go over the individual, uh, talks in a separate episode. Uh, I don't want to take too much time with, uh, this stuff, but that suffice to say that there is a lot of progress in each field.[00:19:28] swyx: Uh, we covered vision. Basically this is all like the audience voting for what they wanted. And then I just invited the best people I could find in each audience, especially agents. Um, Graham, who I talked to at ICML in Vienna, he is currently still number one. It's very hard to stay on top of SweetBench.[00:19:45] swyx: OpenHand is currently still number one. switchbench full, which is the hardest one. He had very good thoughts on agents, which I, which I'll highlight for people. Everyone is saying 2025 is the year of agents, just like they said last year. And, uh, but he had [00:20:00] thoughts on like eight parts of what are the frontier problems to solve in agents.[00:20:03] swyx: And so I'll highlight that talk as well.[00:20:05] Alessio: Yeah. The number six, which is the Hacken agents learn more about the environment, has been a Super interesting to us as well, just to think through, because, yeah, how do you put an agent in an enterprise where most things in an enterprise have never been public, you know, a lot of the tooling, like the code bases and things like that.[00:20:23] Alessio: So, yeah, there's not indexing and reg. Well, yeah, but it's more like. You can't really rag things that are not documented. But people know them based on how they've been doing it. You know, so I think there's almost this like, you know, Oh, institutional knowledge. Yeah, the boring word is kind of like a business process extraction.[00:20:38] Alessio: Yeah yeah, I see. It's like, how do you actually understand how these things are done? I see. Um, and I think today the, the problem is that, Yeah, the agents are, that most people are building are good at following instruction, but are not as good as like extracting them from you. Um, so I think that will be a big unlock just to touch quickly on the Jeff Dean thing.[00:20:55] Alessio: I thought it was pretty, I mean, we'll link it in the, in the things, but. I think the main [00:21:00] focus was like, how do you use ML to optimize the systems instead of just focusing on ML to do something else? Yeah, I think speculative decoding, we had, you know, Eugene from RWKB on the podcast before, like he's doing a lot of that with Fetterless AI.[00:21:12] swyx: Everyone is. I would say it's the norm. I'm a little bit uncomfortable with how much it costs, because it does use more of the GPU per call. But because everyone is so keen on fast inference, then yeah, makes sense.[00:21:24] Alessio: Exactly. Um, yeah, but we'll link that. Obviously Jeff is great.[00:21:30] swyx: Jeff is, Jeff's talk was more, it wasn't focused on Gemini.[00:21:33] swyx: I think people got the wrong impression from my tweet. It's more about how Google approaches ML and uses ML to design systems and then systems feedback into ML. And I think this ties in with Lubna's talk.[00:21:45] Synthetic Data and Future Trends[00:21:45] swyx: on synthetic data where it's basically the story of bootstrapping of humans and AI in AI research or AI in production.[00:21:53] swyx: So her talk was on synthetic data, where like how much synthetic data has grown in 2024 in the pre training side, the post training side, [00:22:00] and the eval side. And I think Jeff then also extended it basically to chips, uh, to chip design. So he'd spend a lot of time talking about alpha chip. And most of us in the audience are like, we're not working on hardware, man.[00:22:11] swyx: Like you guys are great. TPU is great. Okay. We'll buy TPUs.[00:22:14] Alessio: And then there was the earlier talk. Yeah. But, and then we have, uh, I don't know if we're calling them essays. What are we calling these? But[00:22:23] swyx: for me, it's just like bonus for late in space supporters, because I feel like they haven't been getting anything.[00:22:29] swyx: And then I wanted a more high frequency way to write stuff. Like that one I wrote in an afternoon. I think basically we now have an answer to what Ilya saw. It's one year since. The blip. And we know what he saw in 2014. We know what he saw in 2024. We think we know what he sees in 2024. He gave some hints and then we have vague indications of what he saw in 2023.[00:22:54] swyx: So that was the Oh, and then 2016 as well, because of this lawsuit with Elon, OpenAI [00:23:00] is publishing emails from Sam's, like, his personal text messages to Siobhan, Zelis, or whatever. So, like, we have emails from Ilya saying, this is what we're seeing in OpenAI, and this is why we need to scale up GPUs. And I think it's very prescient in 2016 to write that.[00:23:16] swyx: And so, like, it is exactly, like, basically his insights. It's him and Greg, basically just kind of driving the scaling up of OpenAI, while they're still playing Dota. They're like, no, like, we see the path here.[00:23:30] Alessio: Yeah, and it's funny, yeah, they even mention, you know, we can only train on 1v1 Dota. We need to train on 5v5, and that takes too many GPUs.[00:23:37] Alessio: Yeah,[00:23:37] swyx: and at least for me, I can speak for myself, like, I didn't see the path from Dota to where we are today. I think even, maybe if you ask them, like, they wouldn't necessarily draw a straight line. Yeah,[00:23:47] Alessio: no, definitely. But I think like that was like the whole idea of almost like the RL and we talked about this with Nathan on his podcast.[00:23:55] Alessio: It's like with RL, you can get very good at specific things, but then you can't really like generalize as much. And I [00:24:00] think the language models are like the opposite, which is like, you're going to throw all this data at them and scale them up, but then you really need to drive them home on a specific task later on.[00:24:08] Alessio: And we'll talk about the open AI reinforcement, fine tuning, um, announcement too, and all of that. But yeah, I think like scale is all you need. That's kind of what Elia will be remembered for. And I think just maybe to clarify on like the pre training is over thing that people love to tweet. I think the point of the talk was like everybody, we're scaling these chips, we're scaling the compute, but like the second ingredient which is data is not scaling at the same rate.[00:24:35] Alessio: So it's not necessarily pre training is over. It's kind of like What got us here won't get us there. In his email, he predicted like 10x growth every two years or something like that. And I think maybe now it's like, you know, you can 10x the chips again, but[00:24:49] swyx: I think it's 10x per year. Was it? I don't know.[00:24:52] Alessio: Exactly. And Moore's law is like 2x. So it's like, you know, much faster than that. And yeah, I like the fossil fuel of AI [00:25:00] analogy. It's kind of like, you know, the little background tokens thing. So the OpenAI reinforcement fine tuning is basically like, instead of fine tuning on data, you fine tune on a reward model.[00:25:09] Alessio: So it's basically like, instead of being data driven, it's like task driven. And I think people have tasks to do, they don't really have a lot of data. So I'm curious to see how that changes, how many people fine tune, because I think this is what people run into. It's like, Oh, you can fine tune llama. And it's like, okay, where do I get the data?[00:25:27] Alessio: To fine tune it on, you know, so it's great that we're moving the thing. And then I really like he had this chart where like, you know, the brain mass and the body mass thing is basically like mammals that scaled linearly by brain and body size, and then humans kind of like broke off the slope. So it's almost like maybe the mammal slope is like the pre training slope.[00:25:46] Alessio: And then the post training slope is like the, the human one.[00:25:49] swyx: Yeah. I wonder what the. I mean, we'll know in 10 years, but I wonder what the y axis is for, for Ilya's SSI. We'll try to get them on.[00:25:57] Alessio: Ilya, if you're listening, you're [00:26:00] welcome here. Yeah, and then he had, you know, what comes next, like agent, synthetic data, inference, compute, I thought all of that was like that.[00:26:05] Alessio: I don't[00:26:05] swyx: think he was dropping any alpha there. Yeah, yeah, yeah.[00:26:07] Alessio: Yeah. Any other new reps? Highlights?[00:26:10] swyx: I think that there was comparatively a lot more work. Oh, by the way, I need to plug that, uh, my friend Yi made this, like, little nice paper. Yeah, that was really[00:26:20] swyx: nice.[00:26:20] swyx: Uh, of, uh, of, like, all the, he's, she called it must read papers of 2024.[00:26:26] swyx: So I laid out some of these at NeurIPS, and it was just gone. Like, everyone just picked it up. Because people are dying for, like, little guidance and visualizations And so, uh, I thought it was really super nice that we got there.[00:26:38] Alessio: Should we do a late in space book for each year? Uh, I thought about it. For each year we should.[00:26:42] Alessio: Coffee table book. Yeah. Yeah. Okay. Put it in the will. Hi, Will. By the way, we haven't introduced you. He's our new, you know, general organist, Jamie. You need to[00:26:52] swyx: pull up more things. One thing I saw that, uh, Okay, one fun one, and then one [00:27:00] more general one. So the fun one is this paper on agent collusion. This is a paper on steganography.[00:27:06] swyx: This is secret collusion among AI agents, multi agent deception via steganography. I tried to go to NeurIPS in order to find these kinds of papers because the real reason Like NeurIPS this year has a lottery system. A lot of people actually even go and don't buy tickets because they just go and attend the side events.[00:27:22] swyx: And then also the people who go and end up crowding around the most popular papers, which you already know and already read them before you showed up to NeurIPS. So the only reason you go there is to talk to the paper authors, but there's like something like 10, 000 other. All these papers out there that, you know, are just people's work that they, that they did on the air and they failed to get attention for one reason or another.[00:27:42] swyx: And this was one of them. Uh, it was like all the way at the back. And this is a deep mind paper that actually focuses on collusion between AI agents, uh, by hiding messages in the text that they generate. Uh, so that's what steganography is. So a very simple example would be the first letter of every word.[00:27:57] swyx: If you Pick that out, you know, and the code sends a [00:28:00] different message than that. But something I've always emphasized is to LLMs, we read left to right. LLMs can read up, down, sideways, you know, in random character order. And it's the same to them as it is to us. So if we were ever to get You know, self motivated, underlined LLMs that we're trying to collaborate to take over the planet.[00:28:19] swyx: This would be how they do it. They spread messages among us in the messages that we generate. And he developed a scaling law for that. So he marked, I'm showing it on screen right now, the emergence of this phenomenon. Basically, for example, for Cypher encoding, GPT 2, Lama 2, mixed trial, GPT 3. 5, zero capabilities, and sudden 4.[00:28:40] swyx: And this is the kind of Jason Wei type emergence properties that people kind of look for. I think what made this paper stand out as well, so he developed the benchmark for steganography collusion, and he also focused on shelling point collusion, which is very low coordination. For agreeing on a decoding encoding format, you kind of need to have some [00:29:00] agreement on that.[00:29:00] swyx: But, but shelling point means like very, very low or almost no coordination. So for example, if I, if I ask someone, if the only message I give you is meet me in New York and you're not aware. Or when you would probably meet me at Grand Central Station. That is the Grand Central Station is a shelling point.[00:29:16] swyx: And it's probably somewhere, somewhere during the day. That is the shelling point of New York is Grand Central. To that extent, shelling points for steganography are things like the, the, the common decoding methods that we talked about. It will be interesting at some point in the future when we are worried about alignment.[00:29:30] swyx: It is not interesting today, but it's interesting that DeepMind is already thinking about this.[00:29:36] Alessio: I think that's like one of the hardest things about NeurIPS. It's like the long tail. I[00:29:41] swyx: found a pricing guy. I'm going to feature him on the podcast. Basically, this guy from NVIDIA worked out the optimal pricing for language models.[00:29:51] swyx: It's basically an econometrics paper at NeurIPS, where everyone else is talking about GPUs. And the guy with the GPUs is[00:29:57] Alessio: talking[00:29:57] swyx: about economics instead. [00:30:00] That was the sort of fun one. So the focus I saw is that model papers at NeurIPS are kind of dead. No one really presents models anymore. It's just data sets.[00:30:12] swyx: This is all the grad students are working on. So like there was a data sets track and then I was looking around like, I was like, you don't need a data sets track because every paper is a data sets paper. And so data sets and benchmarks, they're kind of flip sides of the same thing. So Yeah. Cool. Yeah, if you're a grad student, you're a GPU boy, you kind of work on that.[00:30:30] swyx: And then the, the sort of big model that people walk around and pick the ones that they like, and then they use it in their models. And that's, that's kind of how it develops. I, I feel like, um, like, like you didn't last year, you had people like Hao Tian who worked on Lava, which is take Lama and add Vision.[00:30:47] swyx: And then obviously actually I hired him and he added Vision to Grok. Now he's the Vision Grok guy. This year, I don't think there was any of those.[00:30:55] Alessio: What were the most popular, like, orals? Last year it was like the [00:31:00] Mixed Monarch, I think, was like the most attended. Yeah, uh, I need to look it up. Yeah, I mean, if nothing comes to mind, that's also kind of like an answer in a way.[00:31:10] Alessio: But I think last year there was a lot of interest in, like, furthering models and, like, different architectures and all of that.[00:31:16] swyx: I will say that I felt the orals, oral picks this year were not very good. Either that or maybe it's just a So that's the highlight of how I have changed in terms of how I view papers.[00:31:29] swyx: So like, in my estimation, two of the best papers in this year for datasets or data comp and refined web or fine web. These are two actually industrially used papers, not highlighted for a while. I think DCLM got the spotlight, FineWeb didn't even get the spotlight. So like, it's just that the picks were different.[00:31:48] swyx: But one thing that does get a lot of play that a lot of people are debating is the role that's scheduled. This is the schedule free optimizer paper from Meta from Aaron DeFazio. And this [00:32:00] year in the ML community, there's been a lot of chat about shampoo, soap, all the bathroom amenities for optimizing your learning rates.[00:32:08] swyx: And, uh, most people at the big labs are. Who I asked about this, um, say that it's cute, but it's not something that matters. I don't know, but it's something that was discussed and very, very popular. 4Wars[00:32:19] Alessio: of AI recap maybe, just quickly. Um, where do you want to start? Data?[00:32:26] swyx: So to remind people, this is the 4Wars piece that we did as one of our earlier recaps of this year.[00:32:31] swyx: And the belligerents are on the left, journalists, writers, artists, anyone who owns IP basically, New York Times, Stack Overflow, Reddit, Getty, Sarah Silverman, George RR Martin. Yeah, and I think this year we can add Scarlett Johansson to that side of the fence. So anyone suing, open the eye, basically. I actually wanted to get a snapshot of all the lawsuits.[00:32:52] swyx: I'm sure some lawyer can do it. That's the data quality war. On the right hand side, we have the synthetic data people, and I think we talked about Lumna's talk, you know, [00:33:00] really showing how much synthetic data has come along this year. I think there was a bit of a fight between scale. ai and the synthetic data community, because scale.[00:33:09] swyx: ai published a paper saying that synthetic data doesn't work. Surprise, surprise, scale. ai is the leading vendor of non synthetic data. Only[00:33:17] Alessio: cage free annotated data is useful.[00:33:21] swyx: So I think there's some debate going on there, but I don't think it's much debate anymore that at least synthetic data, for the reasons that are blessed in Luna's talk, Makes sense.[00:33:32] swyx: I don't know if you have any perspectives there.[00:33:34] Alessio: I think, again, going back to the reinforcement fine tuning, I think that will change a little bit how people think about it. I think today people mostly use synthetic data, yeah, for distillation and kind of like fine tuning a smaller model from like a larger model.[00:33:46] Alessio: I'm not super aware of how the frontier labs use it outside of like the rephrase, the web thing that Apple also did. But yeah, I think it'll be. Useful. I think like whether or not that gets us the big [00:34:00] next step, I think that's maybe like TBD, you know, I think people love talking about data because it's like a GPU poor, you know, I think, uh, synthetic data is like something that people can do, you know, so they feel more opinionated about it compared to, yeah, the optimizers stuff, which is like,[00:34:17] swyx: they don't[00:34:17] Alessio: really work[00:34:18] swyx: on.[00:34:18] swyx: I think that there is an angle to the reasoning synthetic data. So this year, we covered in the paper club, the star series of papers. So that's star, Q star, V star. It basically helps you to synthesize reasoning steps, or at least distill reasoning steps from a verifier. And if you look at the OpenAI RFT, API that they released, or that they announced, basically they're asking you to submit graders, or they choose from a preset list of graders.[00:34:49] swyx: Basically It feels like a way to create valid synthetic data for them to fine tune their reasoning paths on. Um, so I think that is another angle where it starts to make sense. And [00:35:00] so like, it's very funny that basically all the data quality wars between Let's say the music industry or like the newspaper publishing industry or the textbooks industry on the big labs.[00:35:11] swyx: It's all of the pre training era. And then like the new era, like the reasoning era, like nobody has any problem with all the reasoning, especially because it's all like sort of math and science oriented with, with very reasonable graders. I think the more interesting next step is how does it generalize beyond STEM?[00:35:27] swyx: We've been using O1 for And I would say like for summarization and creative writing and instruction following, I think it's underrated. I started using O1 in our intro songs before we killed the intro songs, but it's very good at writing lyrics. You know, I can actually say like, I think one of the O1 pro demos.[00:35:46] swyx: All of these things that Noam was showing was that, you know, you can write an entire paragraph or three paragraphs without using the letter A, right?[00:35:53] Creative Writing with AI[00:35:53] swyx: So like, like literally just anything instead of token, like not even token level, character level manipulation and [00:36:00] counting and instruction following. It's, uh, it's very, very strong.[00:36:02] swyx: And so no surprises when I ask it to rhyme, uh, and to, to create song lyrics, it's going to do that very much better than in previous models. So I think it's underrated for creative writing.[00:36:11] Alessio: Yeah.[00:36:12] Legal and Ethical Issues in AI[00:36:12] Alessio: What do you think is the rationale that they're going to have in court when they don't show you the thinking traces of O1, but then they want us to, like, they're getting sued for using other publishers data, you know, but then on their end, they're like, well, you shouldn't be using my data to then train your model.[00:36:29] Alessio: So I'm curious to see how that kind of comes. Yeah, I mean, OPA has[00:36:32] swyx: many ways to publish, to punish people without bringing, taking them to court. Already banned ByteDance for distilling their, their info. And so anyone caught distilling the chain of thought will be just disallowed to continue on, on, on the API.[00:36:44] swyx: And it's fine. It's no big deal. Like, I don't even think that's an issue at all, just because the chain of thoughts are pretty well hidden. Like you have to work very, very hard to, to get it to leak. And then even when it leaks the chain of thought, you don't know if it's, if it's [00:37:00] The bigger concern is actually that there's not that much IP hiding behind it, that Cosign, which we talked about, we talked to him on Dev Day, can just fine tune 4.[00:37:13] swyx: 0 to beat 0. 1 Cloud SONET so far is beating O1 on coding tasks without, at least O1 preview, without being a reasoning model, same for Gemini Pro or Gemini 2. 0. So like, how much is reasoning important? How much of a moat is there in this, like, All of these are proprietary sort of training data that they've presumably accomplished.[00:37:34] swyx: Because even DeepSeek was able to do it. And they had, you know, two months notice to do this, to do R1. So, it's actually unclear how much moat there is. Obviously, you know, if you talk to the Strawberry team, they'll be like, yeah, I mean, we spent the last two years doing this. So, we don't know. And it's going to be Interesting because there'll be a lot of noise from people who say they have inference time compute and actually don't because they just have fancy chain of thought.[00:38:00][00:38:00] swyx: And then there's other people who actually do have very good chain of thought. And you will not see them on the same level as OpenAI because OpenAI has invested a lot in building up the mythology of their team. Um, which makes sense. Like the real answer is somewhere in between.[00:38:13] Alessio: Yeah, I think that's kind of like the main data war story developing.[00:38:18] The Data War: GPU Poor vs. GPU Rich[00:38:18] Alessio: GPU poor versus GPU rich. Yeah. Where do you think we are? I think there was, again, going back to like the small model thing, there was like a time in which the GPU poor were kind of like the rebel faction working on like these models that were like open and small and cheap. And I think today people don't really care as much about GPUs anymore.[00:38:37] Alessio: You also see it in the price of the GPUs. Like, you know, that market is kind of like plummeted because there's people don't want to be, they want to be GPU free. They don't even want to be poor. They just want to be, you know, completely without them. Yeah. How do you think about this war? You[00:38:52] swyx: can tell me about this, but like, I feel like the, the appetite for GPU rich startups, like the, you know, the, the funding plan is we will raise 60 million and [00:39:00] we'll give 50 of that to NVIDIA.[00:39:01] swyx: That is gone, right? Like, no one's, no one's pitching that. This was literally the plan, the exact plan of like, I can name like four or five startups, you know, this time last year. So yeah, GPU rich startups gone.[00:39:12] The Rise of GPU Ultra Rich[00:39:12] swyx: But I think like, The GPU ultra rich, the GPU ultra high net worth is still going. So, um, now we're, you know, we had Leopold's essay on the trillion dollar cluster.[00:39:23] swyx: We're not quite there yet. We have multiple labs, um, you know, XAI very famously, you know, Jensen Huang praising them for being. Best boy number one in spinning up 100, 000 GPU cluster in like 12 days or something. So likewise at Meta, likewise at OpenAI, likewise at the other labs as well. So like the GPU ultra rich are going to keep doing that because I think partially it's an article of faith now that you just need it.[00:39:46] swyx: Like you don't even know what it's going to, what you're going to use it for. You just, you just need it. And it makes sense that if, especially if we're going into. More researchy territory than we are. So let's say 2020 to 2023 was [00:40:00] let's scale big models territory because we had GPT 3 in 2020 and we were like, okay, we'll go from 1.[00:40:05] swyx: 75b to 1. 8b, 1. 8t. And that was GPT 3 to GPT 4. Okay, that's done. As far as everyone is concerned, Opus 3. 5 is not coming out, GPT 4. 5 is not coming out, and Gemini 2, we don't have Pro, whatever. We've hit that wall. Maybe I'll call it the 2 trillion perimeter wall. We're not going to 10 trillion. No one thinks it's a good idea, at least from training costs, from the amount of data, or at least the inference.[00:40:36] swyx: Would you pay 10x the price of GPT Probably not. Like, like you want something else that, that is at least more useful. So it makes sense that people are pivoting in terms of their inference paradigm.[00:40:47] Emerging Trends in AI Models[00:40:47] swyx: And so when it's more researchy, then you actually need more just general purpose compute to mess around with, uh, at the exact same time that production deployments of the old, the previous paradigm is still ramping up,[00:40:58] swyx: um,[00:40:58] swyx: uh, pretty aggressively.[00:40:59] swyx: So [00:41:00] it makes sense that the GPU rich are growing. We have now interviewed both together and fireworks and replicates. Uh, we haven't done any scale yet. But I think Amazon, maybe kind of a sleeper one, Amazon, in a sense of like they, at reInvent, I wasn't expecting them to do so well, but they are now a foundation model lab.[00:41:18] swyx: It's kind of interesting. Um, I think, uh, you know, David went over there and started just creating models.[00:41:25] Alessio: Yeah, I mean, that's the power of prepaid contracts. I think like a lot of AWS customers, you know, they do this big reserve instance contracts and now they got to use their money. That's why so many startups.[00:41:37] Alessio: Get bought through the AWS marketplace so they can kind of bundle them together and prefer pricing.[00:41:42] swyx: Okay, so maybe GPU super rich doing very well, GPU middle class dead, and then GPU[00:41:48] Alessio: poor. I mean, my thing is like, everybody should just be GPU rich. There shouldn't really be, even the GPU poorest, it's like, does it really make sense to be GPU poor?[00:41:57] Alessio: Like, if you're GPU poor, you should just use the [00:42:00] cloud. Yes, you know, and I think there might be a future once we kind of like figure out what the size and shape of these models is where like the tiny box and these things come to fruition where like you can be GPU poor at home. But I think today is like, why are you working so hard to like get these models to run on like very small clusters where it's like, It's so cheap to run them.[00:42:21] Alessio: Yeah, yeah,[00:42:22] swyx: yeah. I think mostly people think it's cool. People think it's a stepping stone to scaling up. So they aspire to be GPU rich one day and they're working on new methods. Like news research, like probably the most deep tech thing they've done this year is Distro or whatever the new name is.[00:42:38] swyx: There's a lot of interest in heterogeneous computing, distributed computing. I tend generally to de emphasize that historically, but it may be coming to a time where it is starting to be relevant. I don't know. You know, SF compute launched their compute marketplace this year, and like, who's really using that?[00:42:53] swyx: Like, it's a bunch of small clusters, disparate types of compute, and if you can make that [00:43:00] useful, then that will be very beneficial to the broader community, but maybe still not the source of frontier models. It's just going to be a second tier of compute that is unlocked for people, and that's fine. But yeah, I mean, I think this year, I would say a lot more on device, We are, I now have Apple intelligence on my phone.[00:43:19] swyx: Doesn't do anything apart from summarize my notifications. But still, not bad. Like, it's multi modal.[00:43:25] Alessio: Yeah, the notification summaries are so and so in my experience.[00:43:29] swyx: Yeah, but they add, they add juice to life. And then, um, Chrome Nano, uh, Gemini Nano is coming out in Chrome. Uh, they're still feature flagged, but you can, you can try it now if you, if you use the, uh, the alpha.[00:43:40] swyx: And so, like, I, I think, like, you know, We're getting the sort of GPU poor version of a lot of these things coming out, and I think it's like quite useful. Like Windows as well, rolling out RWKB in sort of every Windows department is super cool. And I think the last thing that I never put in this GPU poor war, that I think I should now, [00:44:00] is the number of startups that are GPU poor but still scaling very well, as sort of wrappers on top of either a foundation model lab, or GPU Cloud.[00:44:10] swyx: GPU Cloud, it would be Suno. Suno, Ramp has rated as one of the top ranked, fastest growing startups of the year. Um, I think the last public number is like zero to 20 million this year in ARR and Suno runs on Moto. So Suno itself is not GPU rich, but they're just doing the training on, on Moto, uh, who we've also talked to on, on the podcast.[00:44:31] swyx: The other one would be Bolt, straight cloud wrapper. And, and, um, Again, another, now they've announced 20 million ARR, which is another step up from our 8 million that we put on the title. So yeah, I mean, it's crazy that all these GPU pores are finding a way while the GPU riches are also finding a way. And then the only failures, I kind of call this the GPU smiling curve, where the edges do well, because you're either close to the machines, and you're like [00:45:00] number one on the machines, or you're like close to the customers, and you're number one on the customer side.[00:45:03] swyx: And the people who are in the middle. Inflection, um, character, didn't do that great. I think character did the best of all of them. Like, you have a note in here that we apparently said that character's price tag was[00:45:15] Alessio: 1B.[00:45:15] swyx: Did I say that?[00:45:16] Alessio: Yeah. You said Google should just buy them for 1B. I thought it was a crazy number.[00:45:20] Alessio: Then they paid 2. 7 billion. I mean, for like,[00:45:22] swyx: yeah.[00:45:22] Alessio: What do you pay for node? Like, I don't know what the game world was like. Maybe the starting price was 1B. I mean, whatever it was, it worked out for everybody involved.[00:45:31] The Multi-Modality War[00:45:31] Alessio: Multimodality war. And this one, we never had text to video in the first version, which now is the hottest.[00:45:37] swyx: Yeah, I would say it's a subset of image, but yes.[00:45:40] Alessio: Yeah, well, but I think at the time it wasn't really something people were doing, and now we had VO2 just came out yesterday. Uh, Sora was released last month, last week. I've not tried Sora, because the day that I tried, it wasn't, yeah. I[00:45:54] swyx: think it's generally available now, you can go to Sora.[00:45:56] swyx: com and try it. Yeah, they had[00:45:58] Alessio: the outage. Which I [00:46:00] think also played a part into it. Small things. Yeah. What's the other model that you posted today that was on Replicate? Video or OneLive?[00:46:08] swyx: Yeah. Very, very nondescript name, but it is from Minimax, which I think is a Chinese lab. The Chinese labs do surprisingly well at the video models.[00:46:20] swyx: I'm not sure it's actually Chinese. I don't know. Hold me up to that. Yep. China. It's good. Yeah, the Chinese love video. What can I say? They have a lot of training data for video. Or a more relaxed regulatory environment.[00:46:37] Alessio: Uh, well, sure, in some way. Yeah, I don't think there's much else there. I think like, you know, on the image side, I think it's still open.[00:46:45] Alessio: Yeah, I mean,[00:46:46] swyx: 11labs is now a unicorn. So basically, what is multi modality war? Multi modality war is, do you specialize in a single modality, right? Or do you have GodModel that does all the modalities? So this is [00:47:00] definitely still going, in a sense of 11 labs, you know, now Unicorn, PicoLabs doing well, they launched Pico 2.[00:47:06] swyx: 0 recently, HeyGen, I think has reached 100 million ARR, Assembly, I don't know, but they have billboards all over the place, so I assume they're doing very, very well. So these are all specialist models, specialist models and specialist startups. And then there's the big labs who are doing the sort of all in one play.[00:47:24] swyx: And then here I would highlight Gemini 2 for having native image output. Have you seen the demos? Um, yeah, it's, it's hard to keep up. Literally they launched this last week and a shout out to Paige Bailey, who came to the Latent Space event to demo on the day of launch. And she wasn't prepared. She was just like, I'm just going to show you.[00:47:43] swyx: So they have voice. They have, you know, obviously image input, and then they obviously can code gen and all that. But the new one that OpenAI and Meta both have but they haven't launched yet is image output. So you can literally, um, I think their demo video was that you put in an image of a [00:48:00] car, and you ask for minor modifications to that car.[00:48:02] swyx: They can generate you that modification exactly as you asked. So there's no need for the stable diffusion or comfy UI workflow of like mask here and then like infill there in paint there and all that, all that stuff. This is small model nonsense. Big model people are like, huh, we got you in as everything in the transformer.[00:48:21] swyx: This is the multimodality war, which is, do you, do you bet on the God model or do you string together a whole bunch of, uh, Small models like a, like a chump. Yeah,[00:48:29] Alessio: I don't know, man. Yeah, that would be interesting. I mean, obviously I use Midjourney for all of our thumbnails. Um, they've been doing a ton on the product, I would say.[00:48:38] Alessio: They launched a new Midjourney editor thing. They've been doing a ton. Because I think, yeah, the motto is kind of like, Maybe, you know, people say black forest, the black forest models are better than mid journey on a pixel by pixel basis. But I think when you put it, put it together, have you tried[00:48:53] swyx: the same problems on black forest?[00:48:55] Alessio: Yes. But the problem is just like, you know, on black forest, it generates one image. And then it's like, you got to [00:49:00] regenerate. You don't have all these like UI things. Like what I do, no, but it's like time issue, you know, it's like a mid[00:49:06] swyx: journey. Call the API four times.[00:49:08] Alessio: No, but then there's no like variate.[00:49:10] Alessio: Like the good thing about mid journey is like, you just go in there and you're cooking. There's a lot of stuff that just makes it really easy. And I think people underestimate that. Like, it's not really a skill issue, because I'm paying mid journey, so it's a Black Forest skill issue, because I'm not paying them, you know?[00:49:24] Alessio: Yeah,[00:49:25] swyx: so, okay, so, uh, this is a UX thing, right? Like, you, you, you understand that, at least, we think that Black Forest should be able to do all that stuff. I will also shout out, ReCraft has come out, uh, on top of the image arena that, uh, artificial analysis has done, has apparently, uh, Flux's place. Is this still true?[00:49:41] swyx: So, Artificial Analysis is now a company. I highlighted them I think in one of the early AI Newses of the year. And they have launched a whole bunch of arenas. So, they're trying to take on LM Arena, Anastasios and crew. And they have an image arena. Oh yeah, Recraft v3 is now beating Flux 1. 1. Which is very surprising [00:50:00] because Flux And Black Forest Labs are the old stable diffusion crew who left stability after, um, the management issues.[00:50:06] swyx: So Recurve has come from nowhere to be the top image model. Uh, very, very strange. I would also highlight that Grok has now launched Aurora, which is, it's very interesting dynamics between Grok and Black Forest Labs because Grok's images were originally launched, uh, in partnership with Black Forest Labs as a, as a thin wrapper.[00:50:24] swyx: And then Grok was like, no, we'll make our own. And so they've made their own. I don't know, there are no APIs or benchmarks about it. They just announced it. So yeah, that's the multi modality war. I would say that so far, the small model, the dedicated model people are winning, because they are just focused on their tasks.[00:50:42] swyx: But the big model, People are always catching up. And the moment I saw the Gemini 2 demo of image editing, where I can put in an image and just request it and it does, that's how AI should work. Not like a whole bunch of complicated steps. So it really is something. And I think one frontier that we haven't [00:51:00] seen this year, like obviously video has done very well, and it will continue to grow.[00:51:03] swyx: You know, we only have Sora Turbo today, but at some point we'll get full Sora. Oh, at least the Hollywood Labs will get Fulsora. We haven't seen video to audio, or video synced to audio. And so the researchers that I talked to are already starting to talk about that as the next frontier. But there's still maybe like five more years of video left to actually be Soda.[00:51:23] swyx: I would say that Gemini's approach Compared to OpenAI, Gemini seems, or DeepMind's approach to video seems a lot more fully fledged than OpenAI. Because if you look at the ICML recap that I published that so far nobody has listened to, um, that people have listened to it. It's just a different, definitely different audience.[00:51:43] swyx: It's only seven hours long. Why are people not listening? It's like everything in Uh, so, so DeepMind has, is working on Genie. They also launched Genie 2 and VideoPoet. So, like, they have maybe four years advantage on world modeling that OpenAI does not have. Because OpenAI basically only started [00:52:00] Diffusion Transformers last year, you know, when they hired, uh, Bill Peebles.[00:52:03] swyx: So, DeepMind has, has a bit of advantage here, I would say, in, in, in showing, like, the reason that VO2, while one, They cherry pick their videos. So obviously it looks better than Sora, but the reason I would believe that VO2, uh, when it's fully launched will do very well is because they have all this background work in video that they've done for years.[00:52:22] swyx: Like, like last year's NeurIPS, I already was interviewing some of their video people. I forget their model name, but for, for people who are dedicated fans, they can go to NeurIPS 2023 and see, see that paper.[00:52:32] Alessio: And then last but not least, the LLMOS. We renamed it to Ragops, formerly known as[00:52:39] swyx: Ragops War. I put the latest chart on the Braintrust episode.[00:52:43] swyx: I think I'm going to separate these essays from the episode notes. So the reason I used to do that, by the way, is because I wanted to show up on Hacker News. I wanted the podcast to show up on Hacker News. So I always put an essay inside of there because Hacker News people like to read and not listen.[00:52:58] Alessio: So episode essays,[00:52:59] swyx: I remember [00:53:00] purchasing them separately. You say Lanchain Llama Index is still growing.[00:53:03] Alessio: Yeah, so I looked at the PyPy stats, you know. I don't care about stars. On PyPy you see Do you want to share your screen? Yes. I prefer to look at actual downloads, not at stars on GitHub. So if you look at, you know, Lanchain still growing.[00:53:20] Alessio: These are the last six months. Llama Index still growing. What I've basically seen is like things that, One, obviously these things have A commercial product. So there's like people buying this and sticking with it versus kind of hopping in between things versus, you know, for example, crew AI, not really growing as much.[00:53:38] Alessio: The stars are growing. If you look on GitHub, like the stars are growing, but kind of like the usage is kind of like flat. In the last six months, have they done some[00:53:4

This week, we discuss Jeff Barr's departure from AWS, OpenAI's latest announcements, and Broadcom's AI ambitions. Plus, Matt debates the finer points of Australian vs. American Apple Intelligence. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/PY1z81cRZiU?si=w1F7i-d7frDG27DN) 498 (https://www.youtube.com/live/PY1z81cRZiU?si=w1F7i-d7frDG27DN) Runner-up Titles That's a streak That's not a thing I miss the cold-calling lifestyle I miss being a JSON engineer I have trust issues with AI The metaphor was good Welcome to the treadmill Rundown Jeff Barr leaves AWS: And that's a wrap! 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AI Advances, X Exodus, China Export Bans, and OpenAI's ChatGPT Restrictions In this episode of Hashtag Trending, Jim Love covers major highlights from AWS reInvent, including the launch of Tranium 2 powered EC2 instances, updates to the Amazon Bedrock platform, and collaborations with top companies for AI advancement. Also discussed is the European Federation of Journalists' departure from X (formerly Twitter) over disinformation concerns, China's export restrictions on key materials for technology and defense, and the discovery of ChatGPT's forbidden names list. Tune in for insight into these significant tech developments and their broader implications. 00:00 Major AI Announcements at AWS reInvent 03:27 European Journalists Leave Twitter 04:58 China's Tech Trade War Escalates 06:34 ChatGPT's Forbidden Names 08:38 Conclusion and Contact Information

AWS Hero Linda Mohamed joins the vBrownBag to show us how she uses Amazon Q to scale community engagement (also a sneak peek for her AWS ReInvent 2024 session!) 00:00 Intros and chit-chat 09:05 Linda is a juggler, and Damian is fascinated by juggling math

In this episode, Brian LeRoux, co-founder of Begin.com, discusses the evolution and rise of serverless full stack development. Brian shares insights on the history and future of JavaScript, the benefits of serverless architecture, and how front-end developers can leverage these technologies to build scalable and maintainable applications. Links https://brian.io https://webdev.rip https://github.com/brianleroux https://www.npmjs.com/~brianleroux https://twitter.com/brianleroux https://indieweb.social/@brianleroux https://www.linkedin.com/in/brianleroux https://begin.com https://arc.codes https://enhance.dev We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Emily, at emily.kochanekketner@logrocket.com (mailto:emily.kochanekketner@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understand where your users are struggling by trying it for free at [LogRocket.com]. Try LogRocket for free today.(https://logrocket.com/signup/?pdr) Special Guest: Brian LeRoux.

Первый выпуск новостей из 2024 года. Немного с опозданием, но все предсказания "гадалки" Саши, сделанные в выпуске, сбылись :) Переходи в Телеграм, чтобы почитать детали обсуждаемых в этом в выпуске релизов.  ССЫЛКИ

Продолжаем обсуждение новинок с reInvent 2023. Это третья и заключительная часть нашего обзора.

Продолжаем обсуждать новинки из reInvent 2023

Wes and Scott talk with Brian LeRoux about not using a bundler, handling TypeScript, live reloading, Enhance being a meta framework, how Enhance handles CSS, his experience at AWS: Reinvent, and the state of JavaScript run times in 2024. Show Notes 00:31 Welcome 01:00 Introducing Brian Leroux 01:32 Syntax Brought to you by Sentry 01:54 You can't fix bugs you can't see 03:14 Not using a bundler 05:48 Downsides of not using a bundler 11:13 What about TypeScript? 13:58 Is there a waterfall of imports? 18:29 What happens to live reloading? 22:12 The browser upgrade path 26:39 Is Enhance a meta framework? 29:02 What are you doing about SSR web components? 33:24 Can you refresh part of the application? 36:22 What about state management and Enhance? 42:52 How does Enhance handle CSS? 48:26 How was AWS: Reinvent? 54:47 What's happening with the Begin CLI? 55:55 Any thoughts on new JavaScript run times? 59:51 Sick Picks brian.io Quickstart - Architect documentation Enhance aws-lite Sick Picks Analogue Pocket Shameless Plugs Begin — The Cloud Platform for Functional Web Apps Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott:X Instagram Tiktok LinkedIn Threads

In this insightful episode of "AWS re:Invent Wrap Up," Erik Peterson, Founder and CTO of CloudZero, Khawaja Shams, Founder and CEO of Momento, and Bill Tarr, SaaS Evangelist at AWS, come together to discuss the latest trends and future predictions in the realm of cloud computing and SaaS. They delve into topics like the importance of cost optimization, the evolution of SaaS models, and the impact of AI and Gen AI on the technology landscape.

In this insightful episode of "AWS re:Invent Wrap Up," Erik Peterson, Founder and CTO of CloudZero, Khawaja Shams, Founder and CEO of Momento, and Bill Tarr, SaaS Evangelist at AWS, come together to discuss the latest trends and future predictions in the realm of cloud computing and SaaS. They delve into topics like the importance of cost optimization, the evolution of SaaS models, and the impact of AI and Gen AI on the technology landscape.

On this episode of The Six Five – On The Road, hosts Daniel Newman and Patrick Moorhead welcome Harshal Pimpalkhute,Senior Product Manager, Generative AI, at AWS for a conversation on the latest announcements from Amazon Bedrock made at AWS re:Invent. Their discussion covers: A recap of the announcements made on Amazon Bedrock at AWS re:Invent and what's new with customization An explanation of the new retrieval augmentation capability to connect foundational models to company data sources Agents for Bedrock and how this will most benefit customers The new guardrail capabilities  

In this episode of Infrastructure Matters, Krista Macomber, Camberley Bates, and Steven Dickens discuss key takeaways from AWS re:Invent 2023, including the cloud juggernaut's pragmatic approach to cloud computing, focusing on AI, hybrid solutions, and cost optimization. It is also investing heavily in new features and services, and partnering with other companies to expand their reach. Key themes include: Gen AI: AWS made a big push towards AI with announcements like Q, a helpful service for developers and cloud admins, custom silicon updates for Graviton and Trainium, and a focus on the AI layered cake. Hybrid is here: AWS acknowledged the hybrid cloud reality with announcements like S3 Express One Zone, an S3 offering for high performance computing, and AWSM2, a managed mainframe migration service. Cost optimization: With the economic headwinds, AWS emphasized cost optimization with announcements like the DB2 offering on AWS, which allows customers to run their legacy workloads in the cloud.

On this episode of The Six Five – On The Road, hosts Daniel Newman and Patrick Moorhead welcome Chetan Kapoor, Director at AWS EC2 for a conversation on AWS Generative AI Infrastructure announced at AWS re:Invent. Their discussion covers: A recap of the announcements made on AWS Generative AI Infrastructure announced at AWS re:Invent AWS's strategic partnership with NVIDIA An overview of AWS's purpose-built accelerator, Trainium2 How these key AWS differentiators compare to alternative options

On this episode of The Six Five – On The Road, hosts Daniel Newman and Patrick Moorhead welcome Ken Exner, Chief Product Officer at Elastic for a conversation on their recently unveiled Elasticsearch Query Language and how it fits in with enterprises' continuous deployment of GenAI. Their discussion covers: The main challenges enterprises are encountering when interacting with data Elastic's newly unveiled Elasticsearch Query Language (ESQL), dedicated to simplifying data investigation How Elasticsearch Query Language can be used as enterprises continue deploying GenAI Elastic's outlook on GenAI's impact on search and data management in the coming two to five years Learn more about Elastic's Elasticsearch on the company's website.

On this episode of The Six Five – On The Road, hosts Daniel Newman and Patrick Moorhead welcome Varun Bijlani, Global Managing Partner, Hybrid Cloud Services Consulting at IBM and Jeff Calusinski, Senior Vice President and Chief Technology Officer at USAA for a conversation on the value of a Hybrid-by-Design cloud strategy for modernization.  Their discussion covers: A look at IBM Consulting's Hybrid Cloud Services and how they can assist clients in defining and executing their technology and cloud strategies The strategic partnership between IBM Consulting and AWS for the AWS GenAI solution USAA's GenAI journey and their partnership with AWS, IBM, and Red Hat for modernization services IBM's Hybrid-by-Design framework, how it can benefit clients like USAA, and how to get started Learn more about IBM's hybrid cloud solutions on the company's website.

On this episode of The Six Five – On The Road, hosts Daniel Newman and Patrick Moorhead welcome Roger Premo, General Manager, Corporate Strategy and Ventures at IBM and Deepak Singh, Vice President at AWS for a conversation on how the fast-growing partnership between the two companies has evolved, particularly around generative AI. Their discussion covers: The client benefits resulting from the collaboration between IBM and AWS, emphasizing key projects and joint initiatives that exemplify their synergy The challenges organizations face in determining optimal locations and methods for deploying generative AI models The transformative impact of generative AI on IBM and AWS in their support of enterprise evolution An update on the IBM and AWS partnership and the latest announcements on joint innovation revealed at AWS re:Invent  

On this episode of The Six Five – On The Road, hosts Daniel Newman and Patrick Moorhead welcome Nick Otto, Head of Global Strategic Partnerships at IBM and Justin Copie, Owner and CEO at Innovative Solutions for a conversation on a new program from IBM Security, announced at AWS re:Invent 2023, aimed at service providers. Their discussion covers: An introduction from Nick Otto as Head of Global Strategic Partnerships at IBM and Justin Copie as Owner and CEO at Innovative Solutions The partnerships between IBM, Innovative Solutions, and AWS A look at the new IBM Security's program for service providers to help accelerate their adoption of IBM security software Innovative Solutions' launch of a generative AI managed service, Managed Data Services (MDS), on top of AWS Bedrock, IBM Watson and Anthropic technologies to help with securely managing customer data Learn more about IBM's AI platform, watsonx, on the company's website.  

Cloud Security Podcast just got back from AWS re:invent 2023, there was a lot of chat around, you guessed it - GenAI but along with that there were plenty of security updates and announcement. Shilpi and Ashish broke them all down for you and what it all actually means for all security practitioners. Podcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels: - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security BootCamp⁠⁠⁠⁠ Questions asked: (00:00) Introduction (04:49) GenAI at AWS re:Invent (06:01) No new security service announced (06:48) Updates from CEO and CTO Keynotes (11:29) What is Amazon Inspector? (12:10) Amazon Inspector Security Updates (15:09) What is AWS Security Hub? (15:52) AWS Security Hub Security Updates (18:52) What is Amazon GuardDuty? (20:10) Amazon GuardDuty Security Updates (22:49) What is Amazon Detective? (23:45) Amazon Detective Security Updates (26:22) What is IAM Access Analyser? (28:06) IAM Access Analyser Security Updates (30:33) What is AWS Config? (31:25) AWS Config Security Updates (32:35) Other Security Updates (33:46) 3 Layers of AI (35:21) What is Amazon CodeWhisperer? (36:36) Amazon Application Composer (37:34) Guardrails for Bedrock (38:13) Amazon Q (41:17) Zero Trust (41:45) Ransomware (44:29) Security Talks (45:54) Input filtering and validation for WAF (50:31) Enterprise IAM and data perimeter (53:00) Conclusion and find out more! You can check out the Top announcements of AWS re:Invent 2023 + AWS re:Invent 2023 - Security Compliance & Identity

Sol Rashidi is a heavy hitter in the enterprise data space, having been CXO at Estee Lauder, Sony, Merck, and more. She joins us to chat about getting business value from data, the CXO playbook, AWS ReInvent, and more.

On this episode of The Six Five – On The Road, hosts Daniel Newman and Patrick Moorhead share their analysis and insights on some of the announcements from HPE during AWS re:Invent 2023, in Las Vegas. Their discussion covers: Hot topics discussed at AWS re:Invent  Announcements & innovations from HPE  The changes in technology that excited them the most The biggest news from last week, along with their analysis on what it means for work, life, and the world  

On this episode of Futurum Live! From the Show Floor, The Futurum Group's Steven Dickens is joined by Brendan Grady, GM, Analytics Business Unit at Qlik for a conversation on how Qlik's partnership with AWS provides customers with end-to-end data integration and analytics solutions for AWS and empowers users at any skill level to modernize with AI.  Their discussion covers: A look at Qlik's partnership with AWS, and what they're bringing to the table for customers bringing their data and workloads to AWS How Qlik is helping customers manage their data and modernize with AI What Qlik considers the top five missteps that undermine AI readiness and success Key takeaways businesses should be thinking about when implementing AI   You can learn more about Qlik's data integration solutions and analytics platform on the company's website.

On this episode of The Six Five – On The Road, hosts Daniel Newman and Patrick Moorhead welcome OpsRamp co-founder and CEO Varma Kunaparaju for a conversation on HPE's hybrid strategy and how they help customers solve their hybrid cloud challenges. OpsRamp is a Hewlett Packard Enterprise company and was acquired earlier this year by HPE. Their discussion covers: An overview of OpsRamp foundation and why it was an attractive acquisition for HPE HPE's overall hybrid cloud strategy  How OpsRamp and HPE are helping customers solve their toughest hybrid cloud challenges in a way that's hybrid by design Why OpsRamp is a great solution to improve your ITOM across all cloud environments

On this episode of The Six Five – On The Road, hosts Daniel Newman and Patrick Moorhead welcome Rob Miller, GreenLake Cloud Services Sales for HPE, for a conversation on HPE's robust partnership with AWS and HPE's hybrid by design strategy. Their discussion covers: An introduction of Rob and his role at HPE HPE's powerful partnership with AWS The depth of HPE's GreenLake hybrid cloud offerings  HPE's hybrid by design strategy

On this episode of The Six Five – On The Road, hosts Daniel Newman and Patrick Moorhead welcome Emily Shea, Worldwide Lead, Integration Services and Nick Smit, Principal Product Manager, EventBridge at AWS for a conversation on Event-Driven App Architecture and the role of application integration in modernization.  Their discussion covers: A look at Event-Driven App Architecture and why is it important How application architects manage messaging and APIs in the Cloud to create event-driven communications across applications Why customers need to first think about integration when they want to migrate and modernize applications New launches AWS announced at re:Invent, including Generative AI workflows, HTTPS Endpoints, and Adobe/Stripe Integrations with EventBridge

I have attended Aws Reinvent recently i have shared my experience and what I learned from it. Listen and enjoy! --------- If you are interested in learning about new technologies & careers, you'll like our newsletter and content here. Visit & Sign up: www.tamilboomi.com --------- You can reach out to us & join the group for discussions: --------- Insta: https://www.instagram.com/tamilboomitechnologies/ Whatsapp number: +91 9619663272 Twitter : https://twitter.com/TamilboomiT WhatsApp Group for Discussions: https://chat.whatsapp.com/LuwXgVza8B3EaFmXwkKSwq Weekly Meetup Group: https://chat.whatsapp.com/GudmKj85RcIIGEhQESxNWP --------- We Talk about Career, Life, Motivation, and Technology in Tamil. New Episodes Weekly (Wednesday). --------- We have three shows : அடிச்சாண்டா Appoinment Orderu : Talks about Career and Entrupreunership பொதுவாச் சொன்னேன்: Talks about General things Technology in Tamil : Related to technology and online live courses ---------- We offer Online Classes for Aws, Azure, DevOps, Python & Machine Learning. --------- Want to appear in our shows or want to contribute? Feel free to reach us! Share and Enjoy! #tamilpodcast #tamiltechnology #Tamilcareer --- Send in a voice message: https://podcasters.spotify.com/pod/show/tamilboomi/message

In this episode of Infrastructure Matters, hosts Krista Macomber, Steven Dickens and Camberely Bates discuss AI systems and data protection market development, announcements, and insights from a number of recent vendor and industry events, including: Microsoft's two new custom silicon chips designed for AI and general-purpose workloads, announced at Microsoft Ignite. Developments in the AI space, including considerations for workload placement and how AI-backed chatbots can streamline daily tasks for IT Operations. Perspective from the SuperComputing '23 show in Denver, CO, including storage vendor portfolio developments for HPC. Updates on Veeam's competitive position and strategic development coming out of its Analyst Summit in Seattle, WA. A preview of AWS reInforce.

Persidangan tahunan yg menghimpunkan pakar teknologi awan dan AI itu memberikan tumpuan besar kepada antara lain soal Generative AI dan teknologi awan.  Editor Najib Aroff mengikuti rapat persidangan ini dan kita teruskan bersama rakan setugas.

Persidangan tahunan yg menghimpunkan pakar teknologi awan dan AI itu memberikan tumpuan besar kepada antara lain soal Generative AI dan teknologi awan.  Editor Najib Aroff mengikuti rapat persidangan ini dan kita teruskan bersama rakan setugas.

**Description for the Jon Myer Podcast with Guest David Wharton, Chief Architect at CDW** Welcome to the Jon Myer Podcast! In this episode, we're diving into a fascinating discussion on #FinOps on AWS: Method versus Methodology – a topic that might sound like a cage match, but it's all about optimizing cloud costs and maximizing value. Our guest today is David Wharton, a seasoned tech industry leader with over 20 years of experience, including a stint in the United States Marine Corps. David currently serves as the Chief Architect at CDW, a Fortune 500 technology services and products supplier. Before we jump into the cage match, we'll get to know David better, exploring his impressive journey from the military to the world of AWS and his role as the Chief Architect at CDW. David shares valuable insights into why #FinOps is essential, particularly in today's budget-conscious environment. He highlights how it's not just about saving money but also reallocating resources to innovative projects that drive growth. David and Jon discuss the importance of showing the value of #FinOps to stakeholders, engaging engineering teams, and fostering collaboration within organizations. They emphasize the significance of methodology in implementing #FinOps, breaking down the "why" and "how" aspects of cost optimization. The conversation touches on various aspects of #FinOps, including methodology, stakeholder buy-in, reporting, the role of executive leadership, and the importance of building trust with clients. David also shares CDW's #FinOps capabilities, such as the #FinOps accelerator, advisory services, and managed spend ops, which help organizations optimize cloud costs and mature their #FinOps practices. Don't miss this insightful discussion with David Wharton, shedding light on the world of #FinOps and the strategies to unlock value in your cloud operations. Join us for an engaging and informative episode of the Jon Myer Podcast at AWS Reinvent! And be sure to check out CDW's booth for exciting product offerings and cool swag. See you there!

**Description for the Jon Myer Podcast with Guest David Wharton, Chief Architect at CDW** Welcome to the Jon Myer Podcast! In this episode, we're diving into a fascinating discussion on #FinOps on AWS: Method versus Methodology – a topic that might sound like a cage match, but it's all about optimizing cloud costs and maximizing value. Our guest today is David Wharton, a seasoned tech industry leader with over 20 years of experience, including a stint in the United States Marine Corps. David currently serves as the Chief Architect at CDW, a Fortune 500 technology services and products supplier. Before we jump into the cage match, we'll get to know David better, exploring his impressive journey from the military to the world of AWS and his role as the Chief Architect at CDW. David shares valuable insights into why #FinOps is essential, particularly in today's budget-conscious environment. He highlights how it's not just about saving money but also reallocating resources to innovative projects that drive growth. David and Jon discuss the importance of showing the value of #FinOps to stakeholders, engaging engineering teams, and fostering collaboration within organizations. They emphasize the significance of methodology in implementing #FinOps, breaking down the "why" and "how" aspects of cost optimization. The conversation touches on various aspects of #FinOps, including methodology, stakeholder buy-in, reporting, the role of executive leadership, and the importance of building trust with clients. David also shares CDW's #FinOps capabilities, such as the #FinOps accelerator, advisory services, and managed spend ops, which help organizations optimize cloud costs and mature their #FinOps practices. Don't miss this insightful discussion with David Wharton, shedding light on the world of #FinOps and the strategies to unlock value in your cloud operations. Join us for an engaging and informative episode of the Jon Myer Podcast at AWS Reinvent! And be sure to check out CDW's booth for exciting product offerings and cool swag. See you there!

In this episode, Carlos Peralta, the Director of Data Engineering and Cloud Platform at Moderna Therapeutics, joins Amir Bormand to discuss data transformation and its role as a growth driver. He also highlights his responsibilities as the Director of Cloud Data Platform, which include data strategy, acquisition, and organization. Tune in to learn more about aligning company needs, ROI and overcoming challenges in delivering short-term and long-term data solutions. Highlights: [00:02:34] Data transformation and growth. [00:03:40] Cloud infrastructure and services. [00:09:09] Offensive capabilities of data. [00:12:30] Enabling business stakeholders with data. [00:16:28] New trends in technology. [00:19:34] Handling urgent requests outside the roadmap. [00:24:33] Cloud transformation challenges. [00:25:36] Skill transfer to the cloud. Carlos Peralta has built, acquired, and scaled technology companies from inception to successful acquisitions by publicly-traded large enterprise companies as a strategic and cloud data platform enthusiast. Throughout his 18+ year career, he has managed, developed, and launched state-of-the-art cloud data platforms, including the Moderna Cloud Data Platform that supports multiple studies today. Additionally, Mr. Peralta has been selected to present multiple times at AWS Reinvent on Data Management, Data Platform, AWS Data Exchange, and ETL tools and how they speed, improve, centralize, and standardize data acquisition across the pharma space. Carlos Peralta holds a BS In Computer Science from the EAN University in Colombia and recently completed an Executive HBS Program at Harvard focused on Data Enablement / AI. He has extensive experience in strategic partnership development, distributed systems, AWS Services, data centers, and cloud infrastructure operations at scale.Outside of work, Carlos enjoys playing golf, world traveling, practicing CrossFit, and spending time with his wife.  His profile can be found at https://www.linkedin.com/in/carlos-a-peralta/ --- Thank you so much for checking out this episode of The Tech Trek, and we would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/Please Rate and Review us on your podcast app of choice!If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.Transcript for this episode (link) provided by Starburst. See their Data Mesh Summit recordings here and their great data mesh resource center here. You can download their Data Mesh for Dummies e-book (info gated) here.Himateja's LinkedIn: https://www.linkedin.com/in/himatejam/Himateja's AWS ReInvent presentation (link starts at her part): https://youtu.be/y1p0BGsPxvw?t=1991In this episode, Scott interviewed Himateja Mandala, Senior Data Engineering Manager and Head of the Data Mesh Data Platform at Disney Streaming. To be clear, she was only representing her own views on the episode.Some key takeaways/thoughts from Himateja's point of view:?Controversial?: Your existing data platform(s) might not be able to serve data mesh well, even with reasonable augmentation - especially if your data platform has become hard to change. You might have to build from scratch.When the data platform's key users aren't part of the centralized team, you need to think about enabling automated capabilities by default, e.g. security the second data lands or easy to leverage and understand monitoring/observability.?Controversial?: Data products serving different use cases often end up looking relatively different. Is your data product for dashboards and reporting/analytics; is it for serving a recommendation engine or machine learning model; or is it more for internal usage? Be okay with data products not being uniform.Even if your data mesh platform operates outside the traditional paradigms, many data producers - especially data engineers - will still be thinking data pipelines. Be prepared for that, it's an ingrained way of thinking for many.Data contracts are very helpful in defining and maintaining quality. If you set up good observability on your data products, owners can quickly identify when there

Leonard Pahlke is not only the Release Lead for Kubernetes v1.26, he's also a co-chair of the CNCF TAG for Environmental Sustainability and a student working toward a Master's Degree in Computer Science at the Hamburg University of Applied Sciences. In this episode, Leonard talks with us about Open Source contribution, environmental sustainability, and Kubernetes v1.26.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod   Chatter of the week The 1.23 Release team (where Kaslin was a comms shadow) Shoutout to Kunal Kushwaha, another Kubernetes contributor who started out as a student, and who advocates for students in the community via his YouTube channel & more. KubeCon EU 2023 (which will have a student track as part of the schedule) KubeCon Diversity and Inclusion Scholarships   News of the week Kubernetes Removals, Deprecations, and Major Changes in 1.26 AWS ReInvent 2022 AWS YouTube Channel Control Plane Logs added for GKE Gateway Controller for Single Clusters reaches GA for GKE Prometheus Turns 10 Prometheus Training Prometheus Documentary by HoneyPot Move to registry.k8s.io Leak Signal Micro-waf CNCF Maintainer Track changes   Links from the interview Leonard Pahlke's Blog Leonard Pahlke blog about contribution: Start Contributing to Open Source Projects Leonard Pahlke CNCF WG Environmental Sustainablity Blog Post TAG Environmental Sustainability GitHub Specific 1.26 changes mentioned: Kubernetes 1.26: We're now signing our binary release artifacts! Kubernetes 1.26: Windows HostProcess Containers Are Generally Available CEL for Admission Control KEP In-tree Storage Plugin to CSI Migration - Azurefile In-tree Storage Plugin to CSI Migration - vSphere In-tree storage plugin removals for GlusterFS and OpenStack, and more, are outlined in the “Kubernetes Removals, Deprecations, and Major Changes in 1.26” blog Kubernetes Enhancement Proposals (KEPs) Kubernetes v1.26 Electrifying Release Blog   Links from the post-interview chat List of Kubernetes SIGs Kubernetes Release Team Shadow program

In this episode of the Virtual Coffee with Ashish edition, we spoke with Shilpi Bhattacharjee (Cloud Security Podcast, Producer). We spoke about Announcements from AWS Reinvent for - new security products announced, updates to existing security products, security addition to existing products and products to lookout for. --Announcing Cloud Security Villains Project-- We are always looking to find creative ways to educate folks in Cloud Security and the Cloud Security Villains is part of this education pieces. Cloud Security Villains are coming, you can learn how to defeat them in this YouTube Playlist link Episode ShowNotes, Links and Transcript on Cloud Security Podcast: www.cloudsecuritypodcast.tv Host Twitter: Ashish Rajan (@hashishrajan) Guest Twitter: Justin Garrison (Personal Website) Podcast Twitter - @CloudSecPod @CloudSecureNews If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels: - Cloud Security News - Cloud Security Academy Spotify TimeStamp for Interview Questions

En este episodio hablamos de la mayor conferencia de AWS del año re:Invent. Hablamos sobre que se trata esta conferencia, que podemos encontrar y revisamos los lanzamientos más relevantes desde el punto de vista de Marcia y Isabel Huerga.Este es el episodio 23 de la tercera temporada del podcast de Charlas Técnicas de AWS.

The Six Five "In The Booth" at #AWS #reInvent 2022. Patrick Moorhead and Daniel Newman sit down with Tom Rosamilia, SVP of Software, IBM. Their discussion covers: Progression of IBM-AWS software agreement Highlights & advancements of the agreement IBM”s #Embeddable #AI strategy and how it may be leveraged with AWS

Topic 1: The FTX Contagion Has Affected VC / PE Firms that Invest In MSP Vendors https://www.channele2e.com/news/ftx-cryptocurrency-bankruptcy-filing/ In all the noise that's surrounding the collapse of FTX and the impact on other crypto companies, news is coming out that several major MSP investors have also suffered significant losses. Initial statements indicate that the losses were not enough to threaten the survival of the investment funds, but that there will be implications for how they make investment decisions in the future. Topic 2: Is It Goodnight To Alexa (and other voice assistants)? https://www.axios.com/newsletters/axios-login-a17bdd5b-e815-4499-bd18-08cbf2114c16.html?utm_source=newsletter&utm_medium=email&utm_campaign=newsletter_axioslogin&stream=top Despite billions invested and many high hopes for a new computer interface, the products in the voice assistant category have dramatically underperformed the plans of their developers – both in terms of usage and commercial value. Is there a future for interactive voice assistants … or is this another in a long line of failed voice recognition innovations? Topic 3: Amazon Lays Off Recruiters … Could Be Planning to Replace Them With AI https://mashable.com/article/amazon-layoff-ai-tech https://www.bloomberg.com/news/articles/2022-11-29/amazon-s-cloud-unit-expects-to-keep-expanding-hiring-in-2023 Following the announcement of the largest layoffs in Amazon's history, the company followed up with buyout offers to hundreds of recruiters, signaling the end of the season of accelerated hiring across Amazon. But yesterday at AWS Reinvent the company announced that it will continue to add staff in 2023 (specifically within the AWS division) as cloud sales continue to accelerate. So, who will do the recruiting? Turns out they are re-visiting the use of an AI recruiting system to do the work previously done by humans. Hmmmmm.   Sponsor Memo: OITVOIP Did you know about STIR/SHAKEN? If you're doing voice for your customers, you had better — the deadline was June 30. This technology is focused on reducing robocalls, and providers have to take action. Are you compliant? The team at OITVOIP has put together resources for you to learn more… or, for their customers, it's already handled. Want to learn more?  Visit https://oit.co/mspradio/ for resources to help make sure you're covered.  

The Six Five In The Booth at AWS reInvent 2022. Patrick Moorhead and Daniel Newman sit down with Mahmoud Elmashni, Managing Partner, IBM Consulting, and Atul Sharma, Senior Director, ERP Platforms, Johnson & Johnson. Their discussion covers: How the IBM - AWS consulting partnership has developed over the last year IBM Consulting and AWS announcement and how this helps their customers Why Johnson & Johnson was interested in IBM's Platform Services on AWS How Johnson & Johnson leverages the platform The future of the IBM Consulting-AWS partnership

In this livestream, Frank and Andy recap reinvent, the big AWS conference in Las Vegas. They both take a look at the AWS ecosystem from their heavily Azure centric perspective. However, in the end, data science is based on maths. And Maths is the ultimate platform agnostic platform.Wow! Say that ten times fast.

In this 126th episode of The G2 on 5G, Anshel and Will Cover:1. 5G Techritory Recap2. AWS ReInvent Recap - Vodafone Edge Innovation Lab, JMA 5G XRAN, Amazon EKS & Intel FlexRAN validation3. Bharti Airtel and Meta extend subsea cable to India- what it means for 5G deployments4. Ericsson's November 2022 Mobility Report makes many 5G predictions, including 1 billion 5G connections by year's end and 100m FWA as well, with FWA growing to 300m users by 20285. Verizon executive departs in less than a year - does it signal more trouble?6. Deutsche Telekom claims that its 5G network already covers 94% of the German populationEricsson Nov22 Mobility Report: https://www.ericsson.com/en/reports-and-papers/mobility-report/reports/november-2022

The Six Five On the Road at AWS #reInvent 2022. Patrick Moorhead and Daniel Newman sit down with Gadi Hutt, Director, Business Development for Annapurna Labs at AWS re:Invent2022. Their discussion covers: EC2 and silicon innovation including an overview of the news that was announced this week Continued investment in Intel-based and AMD-based instance types AWS Compute wherever it is needed

The Six Five On the Road at AWS #reInvent 2022. Patrick Moorhead and Daniel Newman sit down with Christopher Wellise, Director AWS Sustainability at AWS re:Invent2022. Their discussion covers: The announcements AWS made regarding sustainability What it means to be Water Positive for AWS customers Why the cloud is a more sustainable option than other solutions A recap of other sustainability announcements from 2022

The Six Five On the Road at AWS reInvent 2022. Patrick Moorhead and Daniel Newman sit down with Andrew Davidson, SVP, Product Management, MongoDB. Their discussion covers: Evolution of the MongoDB & AWS partnership How customers are utilizing MongoDB Atlas on AWS to build cutting-edge applications Data-driven approach to the cloud Cloud strategy in a hybrid world

The Six Five On the Road at AWS #reInvent 2022. Patrick Moorhead and Daniel Newman sit down with Shubha Rao, Sr. Manager, Elastic Container Services, AWS at AWS re:Invent2022. Their discussion covers: Containers (ECS) as a critical part of modernization How ECS stacks up in the market Real-life examples of ECS deployed What can we expect in the future from AWS serverless containers

The Six Five "On The Road" at AWS #reInvent 2022. Patrick Moorhead and Daniel Newman sit down with Bratin Saha, VP & GM, AI & ML, AWS. Their discussion covers: Announcement of SageMaker & Omics Progress on Amazon Monitron Key trends driving machine learning & artificial intelligence #ML #AI

The Six Five In the Booth at #AWS #reInvent 2022. Patrick Moorhead and Daniel Newman sit down with Roger Premo, IBM's GM, Strategy & Corporate Development. Their discussion covers: The inception of the IBM - AWS partnership The progression of the alliance Priorities and synergies for IBM & AWS What can we expect in the future from this alliance

The Six Five On the Road at AWS #reInvent 2022. Patrick Moorhead and Daniel Newman sit down with Susanne Seitinger, Director of AI & ML, AWS. Their discussion covers: AWS end-to-end data strategy How SageMaker & machine learning is leveraged in the data strategy Responsible #AI

The Six Five On the Road at #AWS #reInvent 2022. Patrick Moorhead and Daniel Newman sit down with Varun Chhabra, SVP ISG & Telecom, Dell Technologies. Their discussion covers: Announcements and innovations Dell has made in their cloud business Dell data services and software innovations on Amazon Web Services (AWS) The adoption and progression of hybrid, public, and on-premise environments

The Six Five In the Booth at AWS #reInvent 2022. Patrick Moorhead and Daniel Newman sit down with Bob Ganley, Sr. Consultant, X-ISG Product Marketing, Dell Technologies. Their discussion covers: What is EKS Anywhere from AWS? How Dell is bringing EKS to customers What are some of the benefits of EKS

AWS reInvent announcements In this episode we are talking about what we would like to see at AWS re:Invent. The AWS internal teams work towards re:Invent to make their big announcements. Sometimes they have announcements beforehand. But the big announcements will be on stage. What would you like to see? Serverless Services An increase to the enhancement and evolution of service development capabilities and the ecosystem in general. So more serverless services coming online for items that aren't serverless and iterating to be more serverless. There's a bunch of things that people are almost afraid of like observability, deployment patterns and some of the frameworks. So make those a bit easier. API Gateways In service development, Private API gateways are interesting, but they could be more developer friendly, in terms of setting up, naming and managing. The edge around the environment needs to be tightened up. I don't think they have nailed the data options yet. We are seeing more enhancements around eventing capability like SNS filtering, SQS and X ray. These are things that make the serverless experience more rich and all encompassing. Developer Enablement That leads on to developer enablement. You need to think about developer enablement and time to value. Can you get a developer up and running with a productive IDE in the cloud? And can they start delivering value rapidly? We're seeing steps around Cloud IDE starting to emerge. I want to see what AWS does around their Cloud9 offering. So that you can go from idea to something deployed and running within minutes. Well Architected We are big advocates of the well architected framework. Over the last year, we've seen good announcements on well architected capabilities, systems and services coming online within AWS. I want to see a continued evolution of that. And more well architected thinking and characteristics baked into everything AWS are doing. All the way from developer advocates to patterns and code samples. Well architected needs to be better known. A lot of people still don't know what well architected means. There is still work to do to get people to understand what well architected is and what it isn't. And have it present in the tools and not a separate thing that you need to go and do. It should just be there in your job. And there's a second thing. Some of the basic primitives are moving up a level to something more like a pattern. Developer advocates are great at this with Serverless Land. It would be great to see some consistency in those higher level primitives. It's about fast feedback and dare I say the value flywheel. Can we get more feedback faster on our well architected status? Can the pipeline's tell us how well architected the chains that we made are. And can our IDE tell us how well architected we are? Stitching that together in a compelling way with fast feedback for the developers would raise the bar on what developers deliver into production. That's effectively platform heuristics. I remember back in the IBM mainframe days, it was a mature platform. And you knew it so well, that they started to bake in heuristics. When you start to analyse your code there would be a heuristics to say this might be wrong. Here's what you need to do to fix it. We're starting to see some of these elements emerge already with Security Hub, Reliability Hub and Fault Injection Simulator. It's about stitching those together like factory mode for workloads in your accounts. Tell me we're not well architected, and tell me how to fix it. There's probably an extension to that. As we enable developers I'm seeing good industry examples from new tools that have been launched. In other words here's a new feature and here's how it applies to your particular industry. Sustainability Sustainability is a topic close to our hearts. I haven't heard much about it this last while. More fine grained analysis of carbon scores would be useful when teams are designing and building their workloads. And getting faster feedback on a particular service and how much it is going to cost you in carbon. What's the wacky stuff you would like to see? I'd love to see work on APA management and API gateways. Factory mode for your accounts. How well architected are you would be really good. Instead of us having to do the reviews and do it manually. The gateways are due an uplift or enhancement. What about documentation? And how you consume information about services. We are seeing an explosion of services on the console. Is there going to be a cut down console just for your layer? Cost is always a big one. FinOps is a massive growth area with a lot of good tools out in the market. The only other one I can think about is Identity. It will be interesting to see if anything comes out with Cognito. Serverless Craic from The Serverless Edge Check out our book The Value Flywheel Effect Follow us on Twitter @ServerlessEdge

Frank is out at the big AWS show in Las Vegas. Apparently, having some seventy thousand attendees in one place wreaks havoc on Wifi and Cellular signals. As such, the stream drops out right after Frank talks to the guy at the AWS Green Grass booth demo. Such a pity.Now here's Frank live from the Expo floor at AWS Reinvent in Las Vegas.

Bill and Greg report on what Bill saw at AWS ReInvent, and what they've heard from Black Hat/DEFCON (spoiler - nothing earth shattering). The security nonsense continues in the cryptocurrency world. Greg talsk why Continuous Assessment is the most important trend.

Chris and Martin review the file system announcements coming out of AWS Reinvent event. Specifically FSx for OpenZFS and NetApp ONTAP. The post #220 – AWS & Cloud File System Diversity appeared first on Storage Unpacked.

Самые свежие новости в самом свежем выпуске "AWS на-русском". На конференции AWS reInvent 2021 было анонсировано почти 100 новых релизов. Осторожно! В этом большом списке апдейтов можно пропасть на несколько вечеров. Я, Виктор Ведмич (Developer Advocate) вместе с архитекторами AWS, Михаилом Голубевым и Александром Изюмовым, рассмотрели важные анонсы из мира аналитики, хранилищ данных и управления организацией. 30-ти минут выпуска оказалось недостаточно на все новости: скоро выйдет вторая часть. Подписывайтесь на #aws_на-русском, чтобы не пропустить! Ссылки: Control Tower updates: Terraform support, nested OU, region deny Лучшие практики по организации подхода с несколькими аккаунтами AWS: https://docs.aws.amazon.com/whitepapers/latest/organizing-your-aws-environment/organizing-your-aws-environment.pdf https://aws.amazon.com/blogs/aws/new-aws-control-tower-account-factory-for-terraform/ Изменения цен https://aws.amazon.com/blogs/aws/aws-free-tier-data-transfer-expansion-100-gb-from-regions-and-1-tb-from-amazon-cloudfront-per-month/ https://aws.amazon.com/blogs/storage/s3-storage-class-price-reductions/ S3 Glacier Instant Retrieval - напомнить про важность storage classes, про которые говорили в первом эпизоде и рассказать о преимуществах https://aws.amazon.com/blogs/aws/amazon-s3-glacier-is-the-best-place-to-archive-your-data-introducing-the-s3-glacier-instant-retrieval-storage-class/ EBS Snapshot Archive - для долгого хранения снэпшотов недорого https://aws.amazon.com/blogs/aws/new-amazon-ebs-snapshots-archive/

Este episodio es muy especial ya que es el primer episodio que grabamos con otras personas en el mismo lugar físico. Hablamos de nuestras experiencias y cómo se vive reinvent 2021 desde Las Vegas. Hablamos de algunos lanzamientos y de cómo sacarle el mayor partido a este evento.

On this week's episode of the podcast I cover a lot of the highlights from AWS Reinvent, there are a bunch of InfoSec related stores, updates about MSIX and much more! Reference Links: https://www.rorymon.com/blog/episode-205-aws-reinvent-highlights-fslogix-with-aad-preview-msix-news-more/

Not many releases last week, but lots of shenanigans. I spelled that word on the first try which matters not a whit to anyone else but I'm proud of myself. The shenanigans themselves are an age old story: Big Corporation finds feeble consumers, and exploits them.

Apoorva joins me in this episode where we re-cap AWS re:Invent 2020.

In this Episode, we Share a lot of Updates from Amazon Web Services reInvent. The CEO of AWS, Andy Jassy really did put out a whole lot of products over his Key Note. I have discussed a lot of those and specifically the Services around Internet of Things like Amazon Monitron, Amazon Lookout, AWS Panorama Appliance, and AWS Panorama SDK. I also discussed a few other Updates like Graviton2 & Trainium Chips by AWS, ECS Anywhere and EKS Anywhere, AWS Proton, and a lot of others. Listen to all of them now. This week we had a Guest who is the Manager at Reliance Jio working on IoT Products and Services. His name is Piyush Supe and he shares with us all about IoT Project Management. --- Send in a voice message: https://anchor.fm/belkiot/message

This week's Techpinions podcast features Ben Bajarin and Bob O'Donnell discussing the debut of Qualcomm's Snapdragon 888 chip and its potential impact on the premium smartphone market, analyzing the news on custom chips, new computing instances and new hybrid cloud options from Amazon's AWS Cloud computing division, and chatting about the debut of Google's Android Enterprise Essentials for simply and securely managing fleets of business-owned Android phones.  

Leading global tech analysts Patrick Moorhead (Moor Insights & Strategy) and Daniel Newman (Futurum Research) are front and center on The Six Five analyzing the tech industry's biggest news each and every week and also conducting interviews with tech industry "insiders" on a regular basis.    The Six Five represents six (6) handpicked topics that will be covered for five (5) minutes each.    Welcome to this week’s edition of “The 6-5.” I’m Patrick Moorhead with Moor Insights & Strategy, co-host, joined by Daniel Newman with Futurum Research. On this week’s show we will be talking:   Amazon EU Regulation (Dan/Pat) https://www.forbes.com/sites/moorinsights/2020/06/08/store-branded-retail-products-arent-new-so-can-we-stop-pretending-they-are/?sh=46ab71232aad    NVIDIA Earnings (Pat/Dan) $NVDA https://twitter.com/PatrickMoorhead/status/1329182081591730180?s=20  https://futurumresearch.com/research-notes/nvidia-q3-includes-record-breaking-gaming-and-datacenter-results/    Cisco Earnings (Dan/Pat) $CSCO https://twitter.com/PatrickMoorhead/status/1327000467289878530?s=20  https://twitter.com/PatrickMoorhead/status/1327004668606734338?s=20  https://futurumresearch.com/research-notes/cisco-outperforms-in-q1-and-predicts-an-even-better-q2/    AWS Inferentia and Inf1 momentum (Pat/Dan) https://www.forbes.com/sites/patrickmoorhead/2020/11/19/aws-inferentia-gathers-more-steam-with-alexa-snap-anthem-and-conde-nast/    Oracle “Future of CX” Event (Dan/Pat) https://www.forbes.com/sites/patrickmoorhead/2020/11/09/oracles-larry-ellison-hosts-future-of-cx-event-today-and-salesforce-is-looking-increasingly-complex/  https://futurumresearch.com/research-notes/oracle-cx-summit-delivers-the-full-stack-narrative-driving-cx/    Apple New MacBook M1 reviews (Pat/Dan) https://twitter.com/PatrickMoorhead/status/1328812029944205320?s=20  https://twitter.com/PatrickMoorhead/status/1328865635955257346?s=20  https://twitter.com/PatrickMoorhead/status/1329596696746192898?s=20  https://www.forbes.com/sites/patrickmoorhead/2020/11/11/the-good-bad-and-the-ugly-of-apples-mac-launch-with-m1-processors/    Coming up: AWS reInvent, Dell earnings, Qualcomm Tech Summit   Disclaimer: This show is for information and entertainment purposes only. While we will discuss publicly traded companies on this show. The contents of this show should not be taken as investment advice. 

En este es el episodio #13 del Podcast de AWS en Español.En este episodio te contamos todo lo que necesitas saber para estar preparado para la conferencia más grande del área de computación en la nube - AWS re:Invent 2020. Te contamos de nuestras experiencias de reInvent pasados y que esperar de este en formato virtual. 00:00 - Introducción01:24 - Qué es reInvent?07:54 - Keynotes13:48 - Contenido educativo18:32 - Certificaciones19:38 - Jams, Workshops y Gamedays23:43 - Deep Racer24:36 - Contenido en vivo25:22 - Lounges27:23 - ¿Cómo registrarse?29:54 - ¿Cómo organizarse?35:30 - Redes sociales38:52 - El podcast durante reInvent

What's the best way to develop a content strategy that reflects the reality of today's buyer journey? This week on The Inbound Success Podcast, Ashley Faus, who is the Content Strategy Lead for Software Teams at Atlassian, shares why she thinks a playground provides a better analogy than a funnel for marketers looking to develop their content strategy, and how to use the concept of a content playground to provide your customers and prospects with a better buying experience. Highlights from my conversation with Ashley include: Many marketers use the concepts of the linear funnel and the looping decision journey to develop their content strategies, but Ashley says that those don't reflect the reality of how people buy. Much like in a playground, where there isn't a singular goal (get to the top of the jungle gym!), your prospects aren't always ready to buy and may have other interests. For this reason, a playground offers a better analogy. Rather than forcing prospects to follow a specific journey that we as marketers have determined is ideal, Ashley recommends focusing on creating strong content depth that allows your prospects to follow their own journey, wherever it takes them. For smaller teams that are just getting started, Ashley recommends identifying your "hedgehog principle" - that one thing you do better than everyone else - and creating a very in-depth piece of content on that. Then, you can use that content to repurpose into a variety of assets that can be used on social media, for your trade shows, in the sales process, etc. The key is to find a topic that is substantive enough to support the development of this amount of content.  In terms of how this content gets presented on your website, Ashley recommends ungating it, and then being very explicit with your CTAs so that your website visitors know exactly what they will get if they click a button.  She also suggests adding a related content module on your site to encourage visitors to browse through your content. The best way to begin measuring the impact of your strategy is to use simple tools like Google Analytics in combination with UTMs. As you grow, you can use more sophisticated marketing automation software like HubSpot or Marketo. Resources from this episode: Visit the Atlassian website Connect with Ashley on LinkedIn Follow Ashley on Twitter Check out Atlassian's Team Playbook and Agile Microsite Listen to the podcast to learn why envisioning your buyer's journey -- and their interactions with your content -- as a playground is a more effective way to approach the development of a content strategy. Transcript Kathleen Booth (Host): Welcome back to the Inbound Success Podcast. I'm your host Kathleen Booth. And this week my guest is Ashley FOSS, who is the content strategy lead for software teams at Atlassian. Welcome Ashley. Ashley Faus (Guest): Nice to be here. Thanks so much for having me. I'm so happy to have you here. Ashley and Kathleen recording this episode. Kathleen: And, and for those who are listening, you can't see it. But Ashley has an awesome virtual Zoom background of the golden gate bridge. That's one of my favorite things about the pandemic is that it is revealing people's personalities through the Zoom backgrounds that they choose.  Ashley: It's been interesting. I actually think didn't have the latest version of Zoom. I got scared that if I upgraded and something went wrong, I wouldn't have access to it. So for a long time I was the lame person that didn't have a background and it was just my kitchen the whole time. So yes, I finally upgraded. Tell any of the listeners that are hesitant, you can upgrade. And it's not going to ruin your computer. And you, too, can have a nice virtual backgrounds. Kathleen: Oh yeah. For our all hands meetings at my office. We've been having so much fun with just seeing the backgrounds that people come to these meetings with. It's, it's awesome. It reveals so much about their personalities. About Ashley and Atlassian Kathleen: But so we have so much to talk about. And the first thing I want to talk about is really have you explain to my listeners what Atlassian is, and then also your background and what led you to your current role as Content Strategy Lead. Ashley: Sure. So Atlassian is a collaboration software maker. A lot of people are very familiar with JIRA, Confluence, Trello, Bitbucket, Status Page. We have a number of different products that people use all the time. JIRA especially is a staple for software teams. So I actually started at Atlassian two and a half years ago and I moved among a couple of different teams. My background is primarily marketing, but I actually started on the corporate communications team, moved over to editorial, doing a mix of content strategy, social media, thought leadership for the corporate side, and then just recently made the move over onto software teams. One thing that's kind of interesting and great is having that diverse background has given me that ability to move across different areas and go where my skills can be most useful. So I'm excited to dive in. I'm fairly new to the role, so it's been an interesting transition to try to onboard from home and then also start to get up to speed both from a content standpoint and a strategy standpoint, and then also from a tactical standpoint of where are all the different boards, where's the JIRA tickets? Like what's the process, what are the meetings? So, um, it's been fun. It's been fun. Kathleen: I will definitely say as far as Atlassian is concerned, I've been a user of so many of the company's products. I've used Confluence and JIRA. I'm currently using Trello. I know our dev team uses a number of products as well. It's a great company and a great suite of products, especially for anybody who's practicing agile, which I have done a few times. And so that was another reason I was excited to talk to you. But one of the things I think is really interesting is, you know, you mentioned you're relatively new in the role and we were just talking before we came on and you were explaining how your fiscal year, it's going to change over pretty soon. And so not only are you relatively new in the role, but you're being thrust into the situation of having to plan and strategize for a whole new year in the middle of the pandemic, no less all of these things happening at once. Your current focus is on content and I was really fascinated by how you think about content and content strategy planning and this concept of the content playground. So could you talk a little bit about that and what do you mean when you say a content playground?  What is a content playground? Ashley: I started thinking about it because I needed a new metaphor. Everybody that I talked to was talking about primarily the linear funnel. And you know, you've got your three phases with your editorial calendar and you say, "I need three content, three pieces of content per phase. I'm going to do one per month. Cool. Now I have nine months of content strategy, if my math works out". Most of your listeners are probably sitting there going, "That's not how you do content strategy. You can't just say one piece of content per phase and then call it". Kathleen: Wouldn't it be nice if you could though?  Ashley: You bought a calendar, write three articles and you're done. Then, you know, I know a lot of people have moved on to the looping decision journey where you basically add a fourth phase in there. And you're kind of almost recycling these people, but now there's a cross sell or upsell, but somehow you're dumping them back into that awareness phase from the linear funnel. If you look at the Google results for both the linear funnel and the looping decision funnel, it's kind of terrifying. It's very confusing. It basically just shows that we all agree that humans don't work this way. Nobody just goes politely down our little funnel. The 10-3-1 conversion was kind of the standard for a long time. You get 10 people in awareness. A certain amount of drops. So you get three into consideration to be able to get one to that kind of purchase decision. I was really wrestling with this because I was like, how do you create content in a way that allows people to do what they actually do, which is enter and exit and go sideways and all of that? So I had originally come up with this idea of a jungle gym. But there's two problems with that -- mainly that there's only one objective. It's either to get to the top or, if you're my three year old nephew, it's to go across without touching the lava below that. It's still me as a marketer forcing you into what I want you to do and it's taking all these touch points and saying, what's the fewest number of touch points that I can use to get you to a purchase? And yes, ultimately we need to sell products. Ultimately we have to make money as businesses, but it feels bad to everybody to just constantly be like, are you just trying to sell me something? Like what's the catch? I don't really trust you because I know you're trying to sell me. So if you look at an actual playground though, what's the point of the playground? Is the person who's sitting on the bench just enjoying the sunshine? Are they enjoying the playground the wrong way? No, actually perfectly acceptable. Sit on the bench. Again, you know, thinking about what the right way is to play on the playground for the adults and the playground designers, going down the slide is the right way. Three year old nephew, every time wants to go up the slide. If you translate that to content strategy, I recently had an example of this where in the traditional funnel, pricing is considered a very bottom of funnel action. If I'm asking you about price, man, I'm ready to buy. Well, in my case, I needed to go ask for budget before I could even do the RFP and I had no idea what that budget should be for. It was going to be a SaaS product. So understanding, you know, the subscription, SLA, the licensing tiers, all of that. And so I started reaching out to some vendors in the space asking them for just ballpark pricing so I could go get budget. And so many of them were like, well, allow me to send you a white paper about why this matters a lot and you know, Oh, you need to do a demo. And I'm like, Nope, I don't want to waste my time going through your traditional funnel when I don't even know if I have a budget yet. Kathleen: I have to just interject there and say amen because this has been a frustration of mine for so long. I had this recently with a marketing software product. It was exactly what you're talking about. It was last November and I was working on my budget and I knew that I was not going to purchase this product until halfway through 2020. And that was even before all this craziness with the pandemic hit. But I needed a placeholder number for it in my budget. So there's no chance I was going to engage in, like multi meetings and demos and hours long calls with people to pitch me what I know I'm not ready to buy yet. I just needed a price. There's nothing more frustrating than companies that make it that hard and it wasn't a one time thing. I just found myself doing this yesterday. Somebody started talking about email signature software and they mentioned the name of a new company, and I literally Googled the company name and pricing because I was like, I don't even want to waste my time looking at everything else and getting excited about it if I can't afford it. Ashley: Yeah, well, and it's interesting too because once I got the budget approved, I was already completely sold that this problem needed to be solved. I just needed to get management on board that yes, we are committed to solving this problem. So then I actually got into the sales process and you know, I started kind of at the top of that and I just said, look, I'm bought in, draw me all the way down to the bottom of the funnel and I want you to just pitch me. Kathleen: Yeah.  Ashley: It blew the sales people's minds. And they're like, well, let me just go through the deck. I'm like, no, no, no, no, no. I don't know how many slides you have, but I'm telling you I'm bought in, I agree with you. This has impact. It solves a problem that I have. I have money, here's what my budget is. I'm BANT qualified. I need you to drop me all the way in and I need you to sell me. A majority of them just froze because they didn't know how to go through there. They only know how to do this step by step. And that's where I think the content playground comes in. Obviously there's a sales component to this too. When you do get people who just want to jump right in, I wouldn't send them to play on the swings. That's what we're doing right now. We're spending all our time on the swings. Let's just do it. Quit trying to force them to go down the slide. It's so funny because people have this idea that there's a specific way that you're supposed to build the relationship and you're supposed to, you know, okay, let's get you through the marketing funnel and get you through MQL and then SQL and then a sale. And it doesn't always work that way. Sometimes you meet somebody and they come at you and they're like, no, I'm literally ready to sign on the dotted line, whether it's you or one of your competitors. So why should it be you? Kathleen: Yeah. And not only is that an issue, but it's like I'm going to sign and it's going to be fast. So if you can't meet my fast timeline, just get out of my way. Exactly. That's so interesting. I love that concept. How to use the concept of a content playground to develop your content strategy Kathleen: So give me an example of, conceptually, how does that play out in terms of developing and executing your strategy? Ashley: I've done this at a number of different companies and then we also, you know, do this similar type of thing, whether you see whether you recognize it and call it a content playground or not. When you start to recognize companies that do it because you go through and there's a nice experience to say, Oh, I've kind of landed in this problem space or solution space and now I have the ability to go explore. So we've done that quite a bit in it last year and moving into this content strategy role on software teams, I'm getting exposed to some great ways that they've done it. So for example, we have this agile microsite and then we paired that last year with this agile coach series. This is all work that has been done that I'm excited to come in and kind of optimize and see how can we replicate this across other content types. And it basically says, you know, yes, JIRA helps you run in an agile way, but if you don't have the right practices set up and you don't have that mindset in those processes, a tool is not the thing that's going to fix it for you. And so sure we can sell you JIRA, but if we don't show you the right way to set up the workflows, if we don't help you have acceptable standups, if we don't help you improve your retros, having these things on a board is not going to solve, you know, your agility problems. And so putting that together, if you look at it from a content depth standpoint, instead of organizing around specific phases of the funnel, organizing it around content depth. So from a conceptual standpoint, what the heck is agile? Why does it matter? What kinds of success, you know, have people seen with it, what are the problems from a strategy standpoint, what are the practices and rituals? So that's where you get into some of the standups. That's where you get into some of the retros. And then from a tactic standpoint, how do you actually do those things? And so we have a number of things from the agile coach series, from the agile microsite and also our team playbook, which talks about things like my user manual. So how do you work together as a team? Um, putting together project coasters for kickoffs. And then yes, there's some product demos in there. There's some guides in there, there's some tutorials, there's here workflows that you can set up to do that in JIRA or to do that in Trello. But it's really that full content experienced to say, I just need help figuring out how to run my standups or my retros. And then, cool that I can do that in JIRA as well. So I previously worked at Duarte, if you're familiar with Nancy Duarte's work. Um, she wrote Resonate, which was, you know, a big game changer for a lot of people. They do workshops, they do presentation design for tons of big names and Fortune 500 companies. So we did this in a number of ways. When we launched her slide decks book for example, we put that as a free, ungated version on SlideShare. And then we linked over to this kind of more traditional inbound strategy page where you've got a landing page with a form, you give away a free piece of content, show good faith that this is good quality, and then you've got a form fill out to download some templates that people could use that would then drop people into a drip campaign where we would showcase more templates, we would showcase some use cases that we had built and give them more content to ultimately lead them to say, "Hey, if you want to buy a workshop to learn how to do this at a pro level, here's how you can do that." Getting started with your content playground Kathleen: So if I love the whole concept here, and I love the notion of content depth because I do think that there are so many marketers that almost try to cover too much and they skim the surface on everything and it doesn't work. I think the thing that could be challenging about this is hearing that, like, where do you start and how do you, how do you get there? Because you can't snap your fingers and have a lot of depth in all these topics right away. And also, how do you know what those top level topics are? If you were teaching this to somebody, how would you walk them through that? Ashley: So there's a couple of ways that, uh, we've been able to do it at Atlassian. Obviously we're fortunate we have a large team and a ton of experts that have complimentary skills. So for example, we have done a ton of keyword research to understand both search intent and the specific wording of that. From a market standpoint, agile came in and changed the game, and it turns out that JIRA was actually a really good fit to run agile. So we already kind of were keeping a pulse on the market and we started to see that agile is becoming this very mainstream thing, that our tool and our technology is really useful in helping people run. So let's focus on agile. Okay, where do we focus? And that's where things like SEO and keyword research, that's where focus groups, that's where digging through the feedback that your customers are giving you and asking like, what are the top questions in terms of workflows? How do those map to things like running scrum teams or running Kanban boards? How does that now map to workflows and guides and onboarding tutorials that we would share with somebody who starts with your product or working with Trello products, for example? So I would say I'm doing a listening exercise and there's a number of tools. You could do it on social media as well, particularly for software devs, which is one of our core audiences. They hang out on Hacker News, they hang out on Reddit. And so go look there. That's, that's another core tenant I think as marketers is loving the whole human and not just who are you as a buyer? I only care about you as a buyer or user. How do I get you to engage in the product every day or buy more of the service? Okay, these people have lives. And so if you can figure out what do they love, what are they passionate about outside of the one thing you're trying to sell them, that also gives you an entire new space to explore for thinking about what topics could you engage in. And so, when you think about engineers, efficiency, optimization, clean and concise process is something that's very important to them. Well what are some of the frameworks or what are some of the topics that deal with optimization that could potentially lead you to lead you to something like Six Sigma or manufacturing for example, right? There's a lot of ways that you could think about it if you just know what do engineers generally like? And it's like, they really like efficiency. They like optimization, they like tight, elegant solutions and just jump off from there to see, okay, what are the specific topic areas that would coincide with your product offering? And with the things that they generally care about, what does that mean? Kathleen: And if you don't have an enormous team and you want to take this approach, how do you do it? Because I imagine you'd have a choice of like, okay, I've identified 10 areas that I want to go deep on, you know, and I could either take area number one and fully play it out and develop all the content. Or I could do one article for each of the 10 areas and then go back and do the second article. Like how would you tackle it? Ashley: Yeah. So one of the things that Nancy Duarte actually talks about a ton, from Jim Collins book Good to Great is this concept of the hedgehog principle. And that's if you can do one thing and be the best at it, just do that one thing. So instead of trying to spread yourself too thin across all of those 10 topics, I would be ruthless initially in what is the thing that we actually have the ability to talk about without having to spend a ton of time and energy going and finding that expertise? What's the thing that leads most to the product market fit, or the service market fit, whichever of those that you're selling? And then what's the thing that has depth? This is something that I see a lot, is people start throwing topics on the board and you're like, okay, but how many words can you actually say about that thing? And for the most part, people were like, "Whoa". And it's like you can't even say one sentence about it. How are you going to write a full article? And then that also gets into, it's not just one article, it's okay, how do we also turn that into a video? How do we turn that into an infographic? How do we turn that into a social media post? Because this thing has to live for a lot of time. Nobody has time to keep creating net new content all the time. And so if this piece can't be repurposed or broken apart, it probably doesn't have enough depth to chase. So I would say if you're very first, starting from scratch, to limit it to probably two, maybe three topics that are related to each other and that you know, have depth. And I would say especially if you're dealing with a small team, like you're at a start up and the founder is kind of the only person who could talk about this, I'm definitely limiting that to two topics that you know you have in house expertise and then doing a good job to capture that from a conceptual, strategic and tactical standpoint the first time. And then go with the repurposing strategy. So instead of saying, "Oh my gosh, we have to cover it, a thousand words or a 20 minute video every single time", think about it as, no, nobody wants to read that, nobody's going to scroll through all of that. So let them pick their journey of how deep they want to go. Repurposing your content Kathleen: So can you dig in a little bit more to that repurposing topic because I was interested to hear you discuss all the different ways that the content can manifest, because I think a lot of people might hear this and think it's a bunch of blogs, but it's, it's really not. Ashley: One of my favorite campaigns that was super successful, there was a startup that I worked at that got acquired by Oracle called Palerra. Palerra was a cloud access security broker, which, you know, doesn't matter as much to the majority of the audience if they're not in tech, but, basically they're kind of a complimentary security product to a lot of cloud offerings. We were primarily an enterprise solution. Technology is a really heavy topic. And so what we did, when I came in, there was this raw word doc of just random customer interviews, and problems that they had faced. And so for example, we all know on a personal level we should update our passwords regularly. A lot of companies have that installed where it's like 72 days time to change your password. So at an enterprise security level, there's a similar concept for your keys to your different cloud services. And so we had a scenario where there was a customer that hadn't rotated their keys in like two years. It blew our minds. So our product actually found that. So we actually were talking about cautionary tales and focusing specifically on AWS because that cloud offering is quite ubiquitous among our customers and these are a lot of common pitfalls that our products can help solve. So we called it a cautionary tale. We turned it into an ebook first that then became the basis for our booth graphics at AWS Reinvent. And then we had a booth giveaway. We put an Amazon Tap in a clear box and then we had a bowl of keys sitting next to it and they looked identical. And so you drew a key and if it unlocked the box, you won the Tap. And so that was able to lead us into, "Have you rotated your keys? How are you doing password management?" But not just those basic tactical issues, but also like how do you know there's even a working key in the bowl? How do you know that Kathleen is supposed to have the key and not Ashley? What happens to the keys after the show? So let's say Kathleen and Ashley both leave and the bowls just sitting there. Now what happens to the keys? Right? And our product can help with that. And from a security standpoint, those are a lot of blind spots that at the time people were missing. And then the nice thing about that being at a security conference, people were very skeptical that there were any working keys in the bowl. Right? There's no keys. Yeah. So every time someone won, we took a picture and then we put it on the company Twitter feed. And then if they had a Twitter handle, we tagged them and ask them to retweet. And so there were people, and I mean we had people, well, again, they're very methodical about this. They're like, okay, it looks like roughly once an hour people are winning. So the last time somebody won, they just won. Okay, well I'm going to come back and try again later. Kathleen: Like people play slots.  Ashley: Yeah. It's like slots. But that was a great way. And then we were also able to share that ebook on Twitter as well to say, "Hey, if you're curious why we're taking pictures of the food, you can read this ebook." And then we were able to send that as well with some deeper case studies to anybody that we had scanned at the booth. So it was a really nice integrated online, offline and social media experience. That's another one of my pet peeves is people who are just like, come to booth 123. I'm not at the conference so you're just going to spam me for three days. So making sure that you have content that tells a story to your social media audience, whether they're attending the conference or not. Kathleen: That's great. That's a really good point about the shows too. Because yeah, you do so much marketing. And if somebody is not going, it's just annoying. How to share your content on your website Kathleen: So if you've created all this content, what does that look like on the website from an experience standpoint? Are there content hubs? Is it a resource center? How do you organize this all for presentation to your audience? Ashley: I think it really depends on the audience. I think HubSpot, obviously from the hub and spoke model that they've done, is amazing so that you can kind of see, you can dive in deep per topic, you could dive in deep from an integrative marketing standpoint, you can dive in deep from a tech stack standpoint and obviously they have solutions for that. So the way that they've organized it is actually really great because it allows people to kind of slice and dice how they want. One of the things that we've done that I think is really great and it lasts and is, for example, on the work-life blog, which is like a corporate level, so deals with things like teamwork, practices, leadership, et cetera. We've got a related articles function. And so when you get to the bottom of the article, yes, there's a CTA. If you want to sign up for the newsletter, you want to um, go talk in the community. Or in some cases where we're doing product focused content, it's go to the product tour or something like that. But then at the bottom there's related content. And so we have a mix of collections, a mix of tags, and then those get fed into the related content. And so there's always a next step for people to take. I think that's the biggest thing, whether you organize it as a hub, whether you organize it as a resource center that's done by topic filtering or content tagging, that ability for somebody to always take the next step and to, to only force that next step to be a buying action if they're in a head space for buying action. So if you're on a product tour, the request a demo or the sign up for free, or the do an evaluation for seven days or 30 days, whatever it is, that makes perfect sense. But if you've just read an article about productivity, it's a really hard landing to talk about five tips to manage your time and then all of a sudden be dropped into, you know, by the way, you need to buy Trello. It's like, why would I do that? So making sure that there's always a next logical action that either takes them deeper toward a purchase or deeper tool, words and practices that will help them or allow them to say, I don't know how I landed here. How do I get back to the first thing that I clicked so that I can get back on the path where I think I should be? Kathleen: Yeah. How do you execute that? Because you just gave the example of somebody who's just poking around and then they're all of a sudden getting pushed to buy. You know, being that it's a playground and people can go in any number of directions, how do you craft those next steps so that they make sense? Ashley: I think the biggest thing is, there's obviously an ideal customer journey and that does include some post-sale engagement. That could be things like documentation. It could be a support community. But really, I mean even from like, um, practically accessibility, labeling your buttons with what it is you're doing. Are you downloading this? Are you reading this? Are you clicking to do an evaluation? Are you starting a trial for free? What is that? And then that way people are very clear whenever they get down there, they know what they're clicking on. I know I've had this experience a few times where it's like, see more. And I'm like, yes, I wish to do that. And it automatically takes me into this form where it's like put in a credit card. And I'm like, you didn't tell me that's what I was doing. That's not, I didn't agree to that. So having really clear navs and in the resource center, not having buy CTAs all over the resources. For example, Intercom does a great job with this. They're a messaging, communication growth platform. You can go over to their journal section or their resource center and it's all thought leadership. It's all very high level and they state at the top, "This is free content. It's educational, no sales." And so, you know, when you're that part of the website, you're not going to get sold to and there's a nice handy button at the top. It's like go back to home. And that's where, you know, you could either be directed down an education path or sales path and you can kind of choose. So I think just being really explicit. We're past the point of I'm going to trick you into sales. It might've been on LinkedIn. I saw a discussion that maybe you and somebody else were having about, "Oh, I got a thousand leads from this form. And the question is, are they qualified?" Jay Acunzo actually has a whole rant about this. Stop gating your best content and then pretending whoever fills out that form is a lead sales lead. That's not what they agreed to. And so don't try and trick your audience. If they want to buy, they'll let you know. If they want to be educated and they want to form a relationship with you, they'll do that. And so giving them a clear path to let them either do sales or build a relationship makes them feel empowered. It gives everybody good feelings and it doesn't clutter up your sales process with people that are junk, that are not qualified or that are not actually interested in buying. Kathleen: So true. I find it's counterintuitive because, I started a few years ago ungating as much content as I possibly could and just putting it on the page and then adding like a little field just for email saying, "Want to get the PDF? Put your email in." And that was it.  What was fascinating to me is that not only did conversion rates not go down, in many cases, they went up. It's really psychology if you think about it. There's so much crappy gated content out there and the problem with gating it, first of all, is people are very jaded and a lot of them will think, I'm not giving up my email only to find out that this is junk. And so then they don't convert at all. Whereas, if you give the content away and then give them the option of downloading, you're basically allowing them to try before they buy. You're proving that what you're giving them is really good and if they do think it's really good, they are going to convert because they're like, "Well, it's no skin off my back. This is great content. I don't mind giving up my email address for it." And so the people that wind up converting on the ungated content are more qualified because they've self qualified. The other thing I've found, it goes back to your thing about being explicit, is especially when you don't have things gated, like on the page before or in the marketing you're doing for it, just coming right out and saying, "No need to fill out a form to get it." Ashley: Yeah. Kathleen: You don't have to give us your email address. People are so naturally almost defensive or they're like, Oh, Nope, Nope, Nope. They're going to ask for something. And if you can just come out and say, I'm not going to ask you for anything, that goes a long way. Ashley: Well, and I think what's interesting in this, in this thought about building relationships and giving that content away, a great example, there's a company that I worked with, they were an agency for us. We were a startup. We were using, you know, a lot of agencies and freelancers and they host these dinners and it's basically, you know, just get five, six, seven people together, have dinner, nerd out about marketing topics. And yes, we all know full well some of us are current customers of this company. Some people are prospects of the company. But I don't have budget or need to work with them anymore. But every single time I meet somebody that says that they have the need that this company services, I refer them and I refer probably three or four clients to them. I would continue to do that and we have a great relationship. They still invite me to the dinners. I sent one of my colleagues to a dinner to basically make a connection to say this might be relevant for you to meet some people that we might want to put spokespeople on panels with in the future. And so that willingness to connect with each other. I'm loyal to that company even though I have no budget and no need to buy from them right now. But I'm referring, I'm still giving them revenue because again, it's, it's fine for, for me, when I meet somebody at a conference and they're like, how would you do this? I'm like, actually this is a great company. Would you like an intro? And so a buying action may not necessarily be the person who downloaded the content buys. It may be, I mean, again, I talk about Intercom. I love the content that IDEO puts out. Again, I have no need to buy their services at this point, but I tell everybody, go look at HubSpot's content or go look at Intercom's content. And so there's no way for them to measure that. I'm just another random name on their list that hasn't converted, but I'm a brand champion for them and they don't even know it, you know? Measuring the ROI of your content playground Kathleen: That's awesome. So speaking of measuring, you get this all set up. You deploy it. How do you track and measure whether it's working, how it's working, et cetera? Ashley: So I've done this in a number of different ways depending on the company and the strategy and the bandwidth and all of that kind of stuff. If you're just starting out in your tiny little team, and you don't have the ability to do, you know, Tableau or Databricks or kind of all of these fancy data pipelines, at minimum just start out with your Google tracking. Google has free stuff that you can put on. Use your UTM codes to understand if these things are getting tracked from a social media standpoint, what's the referrals, if you are using any pages with forms from any of the marketing automation providers. Again, I'm pretty partial to HubSpot just because I think they do amazing content. The platform is great. We've used Marketo in the past, and other companies. So any of those are great to really understand what are the trends. I think that's the biggest thing. Making sure that you're looking at a correct trend level. I've worked a lot on the social media side and people get freaked out per post. "Oh my gosh, we did 10 posts last week and this one did, you know, half a percent better than this one." And it's like, let's zoom out and look monthly. How are things trending? Let's do some testing to see if we post more. Does our engagement rate go down if we, um, the other big thing is optimizing the CTA is for what you want to happen. So it's going to be really impossible for you to get somebody to like, comment, retweet, follow, and click through all in the same posts. Like there's not enough words for that post. And so making sure that each CTA belongs where it should be. So if you're asking for a poll on Twitter or Facebook, that's the goal. Responses in feed is the goal versus explicitly asking someone to click through. Make that explicit and you need to make sure that you're putting in some sort of hook or benefit. I see this a lot with people who are just starting in social media, for example, that they just give the title of the article or they just say, read these five tips. Well, what are they? On the opposite extreme, they give it away and they say, here's the five tips. And then they laid them out. And I'm like, well, now why do I need to read the article? You already gave me the tips. Give me the first tip that you think is the most interesting and then say, click through to read the next four tips. Kathleen: Right? Ashley: So, from a measurement standpoint, being very clear on a per post basis about what your goals are, if you're looking at click through rate or engagement rates and what type of engagement. So that's kind of more from a social media standpoint. If you're doing YouTube, if the answer is subscribe to the channel, if the answer is watch the next video, if the answer is go visit the page, those are very different actions. And so making sure you're optimizing those. And then obviously looking at things like organic traffic is always great. Looking at whether you have emails or product tours. From an email standpoint, looking at the open rates and the click to open ratio. So a lot of people look at the CTR, but that's a little bit out of whack. If there's a thousand people that opened it, but you sent it to 5,000, it's not very fair to say what's the CTR on the 5,000? Use it on the thousand. In some cases we've gotten really granular to look at which pieces of content get the most clicks. And so that helps us to understand, it's great that you want to put 10 pieces of content in the newsletter, but if only the first five ever get clicked, you need to find something else to do because you're not amplifying those things. Kathleen: How do you get people down further? Ashley: Yeah, exactly. What kinds of results can you expect? Kathleen: So any examples of like, what kinds of results does taking this approach yield in terms of pipeline or engagement or revenue or any of the above? Ashley: Yeah. From a scale standpoint, it depends. It's not very fair to say like, Oh, you'll get a thousand leads. It's like, okay, well if your revenue goal is 10,000, that's a struggle. Or if you're a billion dollar company, a thousand leads doesn't do you any good, right? So, we've done content pairing for example, where we've done a mix of gated content and ungated content. When we did that at Duarte, the ungated piece has over 300,000 views. Now it's been up for a couple of years, but it's got over 300,000 views. We were getting roughly 10 to 15% download rates of people going and getting that content. And so that's something where you're still getting the benefit of the people looking at it for free and ungated, but then you're starting to see higher engagement, you know, 10, 15% on that. Whenever I've done newsletter sends that have been more thought leadership focused with very light touch sales, we've been able to see 20, 30% open rates, 15 to 25% CTOR rates. Again, because we're serving that content that they've requested, not trying to shoehorn in sales. Whenever we've done sales, as a piece of content, like, "Hey, get a trial" or "Use this code" or "Refer" or "Here's an eCourse and then we'll give you one module for free because you've signed up for this newsletter" or something like that, those do have a much higher conversion rate for whatever the next buying action is. Again, it depends on the scale. So like the Palerra one at the time, you know, that ebook and we were a tiny little company. I mean we only had, I think when we got acquired, we had maybe 60 employees total. So very small company, 10 by 20 booth at AWS Reinvent, which is a massive conference. And we got, you know, almost 2000 views on that small ungated ebook. And then we got substantially higher open rates, and then our lead scans at that booth, I mean it was ridiculous. I want to say we scanned like 500 people and at most shows we were only scanning probably a hundred to 112 and so it was huge because it all tied in. Kathleen's two questions Kathleen: That's awesome. Well shifting gears because we're gonna run out of time. I have two questions that I like to ask all my guests and I'm really curious to hear your answers because you've worked with some really interesting companies who are very good at this. Is there a particular company or individual that you think is really killing it with inbound marketing right now? Ashley: So I will do the shameless plug for Atlassian, A, because I work there so of course I think we're doing a good job. But truly, I think one of the biggest examples of this, we have our team playbook and this is something again where we connected our work futurist Don Price, has done a number of different keynotes around the world and always promotes the team playbook and that has led to this health monitor -- the team health check, understanding where your blockers are. That led to a large engagement with ANZ bank, which is a huge bank in Australia and they have now done a case study with us. They're huge champions that come for our conferences and speak about how this one tiny little interaction with this health monitor has led to this entire agile transformation across their business. It's a mix of the tools, the people, the practices, it all came together perfectly. So, yes, that had a revenue result for us, but it started with that ungated content at a conceptual level about how do you do your team work better and that's what Atlassian really tries to empower. I mentioned Intercom as well. They have a ton of great content. They've got sales manuals, they got marketing manuals that talk about a variety of different ways to think about content marketing, sales, the interaction between sales and marketing. Highly recommend their content for both sales and marketing practitioners. And then, IDEO, just like if you want to elevate your creativity and you want to kind of think outside of a traditional business or products. I work in tech, so of course I'm in this little bubble that everything is SaaS and everything is ARR. IDEO has none of that. And so every time I go to IDEO and just like, this is fascinating, how does the world work when you're not in your little bubble? And so I would say, no matter what bubble you're in, IDEO will help you get out of it. That would be three that are a mix of marketing focused, tech and then a design consultancy that's just completely out of my wheel house.  Kathleen: I can't wait to check some of those out -- particularly IDEO. It sounds really interesting. Well, second question is, the biggest pain point I was here from marketers is that digital is changing so quickly and they feel like it's drinking from a fire hose to try and keep up with everything and stay educated and on the cutting edge. So how do you personally do that? Ashley: Yeah, so from a broader view, kind of outside of marketing or just business chops, which I think is really important, it's how do we fit in and especially as you move up in your career and you become COO or something like that, understanding that business acumen is really key. I love MIT Sloan review for that content and they've been killing it lately. Every single thing that's come out from them over the last probably six or seven months, I'm like, "Yes, one hundred percent fascinating". So I love MIT Sloan from a business standpoint. There's a couple of marketers that I think are a little bit contrarian and I joked about going on rants about things and I'm like, "Yes, ranting. I love it." Katie Martell is somebody that I've been loving her content lately. Jay Acunzo I think is great. He's really honing in on podcasting and show running over the last year or so. But just in general, his thoughts on content marketing and strategy are great. I love Scott Berkun. He is primarily a designer, and more on that design thinking. He has a new book out that I need to get because it looks amazing. It's like How Design Makes the World, I think is what it's called. And it's looking at how all of these interactions and everyday things influence our path, our actions, et cetera. So Scott Berkun is great. And then I would say just like a book that I always come back to is this book called The Medici Effect by Frans Johansson. It's primarily about intersectional thinking and divergent thinking. And so yes, there's an element of understanding the tactical nitty gritty from a digital standpoint. I think there's a number of, you know, Marketing Profs, CMI, HubSpot, all of those do a really great job of that. But how do you think about change? How do you think about a problem space? How do you think about a solution space? The Medici Effect is just every, it's like I come back to it kind of annually. It's like, okay, somewhere in there I'm missing something. I should probably just reread the The Medici Effect. In fact, I should probably just to think about the concepts and The Medici Effect to jolt myself out of being so focused on, okay, what does this button on Twitter do or what does this ads do? Like are we doing AB testing? We're doing multivariate testing, what's our competence interval, whatever. We're pulling those things down. Like I don't know what the best practice is. It's like I'm clearly thinking about it in the wrong way. If I'm so twitchy about such a small detail, you get lost in the weeds pretty easily. Kathleen: Those sound like some really good resources. I will put links to all of them in the show notes. How to connect with Ashley Kathleen: If somebody is listening and they want to connect with you online or follow you or learn more about this topic, what's the best way for them to do that? Ashley: I would love to connect on LinkedIn. I'm Ashley Faus. For the most part, I think I'm the first search result for that. And you can also follow me on Twitter also @AshleyFaus. Kathleen: Great. I will put Ashley's links to her social accounts in the show notes. So head there if you want to find them. You know what to do next... Kathleen: And if you are listening and you liked what you heard today or you learned something new, and how could you not because Ashley shared so many good ideas, head to Apple podcasts and please leave the podcast a five star review. That helps us get found by more people. And if you know somebody who's doing kick ass inbound marketing work, tweet me at @workmommywork, because I would love to make them my next interview. Thanks so much for joining me this week, Ashley. Ashley: Yeah, thank you for having me. It's always fun to nerd out about marketing. Kathleen: Yes!

According to the World Economic Forum, it will take 202 years to close the global gender pay gap. Shelley Zalis, CEO of The Female Quotient, has made it a mission to speed up that timeline. While at AWS ReInvent, she and Mr. IoT discuss her approach with “equality hacks,” tackling unconscious bias in the workplace, bringing emotion to the boardroom, and what inspired her to start the #SeeHer movement.

# Podcast S01-E15: Digital Ocean despide ingenieros-Aprende AWS con toneladas de recursos - Conducido por @_marKox, @domix ## Revisión de las noticias - [Amazon EKS on AWS Fargate Now Generally Available](https://aws.amazon.com/blogs/aws/amazon-eks-on-aws-fargate-now-generally-available/) - [Amazon Builders’ Library](https://aws.amazon.com/blogs/aws/check-out-the-amazon-builders-library-this-is-how-we-do-it/) - [WebAssembly Core Specification](https://www.w3.org/TR/wasm-core-1/) - [Introducing the WebAssembly Hub](https://medium.com/solo-io/introducing-the-webassembly-hub-a-service-for-building-deploying-sharing-and-discovering-wasm-d461719383ca) - [Announcing GraalWasm — a WebAssembly engine in GraalVM](https://medium.com/graalvm/announcing-graalwasm-a-webassembly-engine-in-graalvm-25cd0400a7f2) ## Twitter! - [Serverless-NoCode-NoSQL](https://twitter.com/oldmankris/status/1218151330444914688) ## Referencias y Recursos - [Articles about Amazon Builders’ Library](https://aws.amazon.com/builders-library/?cards-body.sort-by=item.additionalFields.customSort&cards-body.sort-order=asc) - [AWS geek](https://www.awsgeek.com/) - [eBook Cloud Native DevOps With Kubernetes](https://www.nginx.com/resources/library/cloud-native-devops-with-kubernetes/) - [Kubernetes by example](http://kubernetesbyexample.com/) - [The Illustrated Children’s Guide to Kubernetes](https://www.cncf.io/the-childrens-illustrated-guide-to-kubernetes/) - [10 best practices to secure Kubernetes](https://www.datree.io/resources/kubernetes-best-practices) - [AWS reInvent 2019 workshop links](https://alestic.com/2019/12/aws-reinvent-2019-workshops-jennine/) - [eBook: Istio Explained](https://wwwstage.ibm.com/account/reg/us-en/signup?formid=urx-33258) ## Repos chingones de código - [Jib](https://github.com/GoogleContainerTools/jib)

In this episode of AI Buzz, I will discuss the latest releases from AWS at the AWS ReInvent Conference, how a new company called Streetlight data is changing how traffic measurements are made, and how machine learning can be used in the fight against fraud.

Clicksuasion Computer Science Team members Damien Sandoval and Zachary Waddington attended AWS Reinvent in Las Vegas. During this episode, Damien and Zach share their lessons learned from Reinvent and how teams could integrate computer and behavioral science.   LESSONS LEARNED 1) The Cloud Computing Disruption 2) Conference Booth Bundling 3) Deep Learning and Artifical Intelligence    ON THIS EPISODE Michael Barbera via mike@clicksuasion.com Damien Sandoval via damien@clicksuasion.com Zachary Waddington via zack@clicksuasion.com

Amazon's massive AWS ReInvent Conference is nearly overwhelming in its breadth and scope, with dozens of announcements spanning numerous areas, from ARM to AI to on-premises Outpost. Moor Insights & Strategy senior analysts Matt Kimball & Steve McDowell help clear the path and talk about what the sum of it all really means to IT, as well as the rest of the technology industry.

This week's episode dives into the troubling news that there is a major bug in some HPE SSDs that will kill the drives and make the data inaccessible. I also report on a Y2K like bug with Splunk that could cause serious problems for admins of the product. AWS ReInvent was held this week in Vegas and as you may expect there were plenty of announcements, I'll share some of the highlights plus there will be much more! Reference Links: https://www.rorymon.com/blog/episode-101-hpe-ssd-timebomb-splunk-y2k-like-bug-aws-reinvent-announcements-more/

Last year CiscoLive overlapped with Ramadan which was not a lot of fun for the Muslim attendees. This year it conflicts with Shavuot, requiring observant Jews who planned to attend to arrive a week in advance. Add those challenges to the normal stress an IT person with a strong religious, moral, or ethical POV has: finding a place to pray, navigating how "outwardly" they want to present as a religious person (and if that's even a choice), managing work-mandated venue choices for food and "entertainment" that push personal boundaries, etc, and it's a wonder we're able to make convention attendance work at all. In this episode, I speak with Mike Wise, Al Rasheed, and Keith Townsend about how they make conventions not only possible, but a positive experience religiously as well as professionally. Listen or read the transcript below. Dez: 00:00 Welcome to our podcast where we talk about the interesting, frustrating and inspiring experiences we have as people with strongly held religious views working in corporate IT. We're not here to preach or teach you our religion. We're here to explore ways we make our career as it professionals mesh - or at least not conflict - with our religious life. This is Technically Religious. Leon: 00:24 Last year, Cisco live fell squarely in the middle of Ramadan, which created a challenge for followers of Islam. Here in 2019 it coincided with the Jewish holiday of Shavuot, meaning that many observant Jews had to skip or cut short their attendance. Between these special situations and the more common stresses of finding a place to pray - sometimes multiple times a day; navigating dozens of interactions where we find ourselves explaining our religious limitations regarding food, venues, and even personal contact; and asserting boundaries between the requirements of our work and the tenants of our faith. Between all those challenges, it's a wonder we choose to attend conferences and conventions at all. In this episode, we're going to hear from a few folks about how we survive and even thrive in this environment. While holding strong to our religious values or moral or ethical points of view. I'm Leon Adato and the other voices you're going to hear on this episode are: Al Rasheed, who's a sysadmin for a federal contractor. Al: 01:16 Hello! Leon: 01:17 Welcome to the podcast. Al: 01:19 Thank you. Leon: 01:20 Mike Wise, a freelance consultant in insurance technology and specializing in blockchain. Mike: 01:26 Hello. Leon: 01:27 And finally a returning guest, Keith Townsend from CTO Advisor. Keith: 01:31 Well evidently the unedited version of the podcast hasn't gotten me kicked off . Halooo New Speaker: 01:36 Right. I'm not going to give the number, but there is one where I forgot to post the edited version. So before we dive into this topic, I want to give everyone a chance for some shameless self promotion. Al why don't we start with you. Tell us a little bit about yourself. Al: 01:51 So I'm a SysAdmin here in the northern Virginia area for a federal contractor. I am a Palestinian American, born in Jerusalem and a, I am Muslim as well. You can find me on Twitter @Al_Rasheed. And my blog post is also listed on my Twitter profile. It's http://AlaRasheedBlog.wordpress.com. Leon: 02:15 Perfect. Mike, how about you next? Mike: 02:18 Yeah, so thanks a lot for having me on the show. I'm, you can find me at "MikeY07" on pretty much every social channel including Twitter. I'm doing a lot of tweeting. I'm also sharing a lot on Linkedin and my website is http://blockchainwisedom.com It's a play on my name. Leon: 02:40 Nice. Keith, for those people who might've missed the other episodes you're in, where can we find you? Keith: 02:45 @CTOAdvisor on the Twitters, which my daughter hates to say And you can find the blog, http://theCTOadvisor.com. New Speaker: 02:54 Great. And just around things out. I'm Leon Adato. You can find me on Twitter, on "the twitters", I'll say that just to make a Keith's daughter's skin crawl. You can find me there @LeonAdato. And my blog is https://www.adatosystems.com. And as a reminder, all of the links in all the things that we're talking about today are going to be in the show notes. So if you're scribbling madly, don't worry about it. There is a place where this is all written down. So where I want to start with this just for a little bit is to talk about how conventions are challenging in general. A lot of folks who listen to this podcast may not be lucky enough, have the privilege to go to conventions, and maybe you're thinking "It sounds like a vacation man! You go to Vegas or Orlando, it's nothing but fun. You get to go to..." You know. So why are conventions challenging, just generally speaking? And I'm going to start this one off and say that you have to deal with time zones, sometimes two or three. I actually have one of my coworkers, Sascha Giese is from Germany, so he'll travel four or five times zones, not to mention 12 hours at a shot to get to some of these places. So you're just generally exhausted and generally sort of strung out. And then you have to hit the ground running, attending classes and you know, your brain has to be at it's peak performance. So that's one of the first things that people don't expect. What else is there? Keith: 04:14 Well, I hate people. Everyone: 04:15 (laughter). Mike: 04:15 People suck. Keith: 04:20 You know what? For someone with 7,000 plus whatever Twitter followers and as much social media that I do, crowds are just too much for me. VM world is going to be 20-something thousand. AWS Reinvent it's 47,000 and I go and I just get exhausted. Keith: 04:35 Right. So yeah, if you're, if you're not an extrovert, if you're an introvert, then that by itself can be draining. Absolutely. What else? Al, you had something we talked about before we started. Al: 04:46 Staying in touch with your spouse and or your kids. I'm fortunate where my wife has tagged along on some recent conferences with me. Also we're, we're blessed because both of our kids are old enough to mind for themselves, care for themselves. But you always have to remain in contact, keep tabs on them and just make sure they're safe. Leon: 05:02 Yeah. No matter how old they are, that never ends. Mike: 05:06 It's a juggling act between personal and professional. Leon: 05:09 Yeah. You definitely have to juggle. So, not only the wife and kids, the spouse and kids, but also Mike, to your point, you have to juggle other aspects of your life too, right? Mike: 05:19 Yeah, that's right. We've got, you know, we all live in the blur, right? And so we've got personal stuff going on. We've got professional stuff going on, we've got community things that we're involved in. Board, you know, everything's constantly happening at the same time and it's all going right through our mobile device. So it's really challenging. Leon: 05:39 Yeah. There are times when you're walking through a convention and you don't even know you're there because the screen in front of you is taking precedence over it. All right. So for those people who haven't been to conventions, that's just a taste of why they're not a vacation. There can be, there can be aspects of it that are vacation-like, and I think that it's important for those of us who attend conventions often to find those moments. Al, to your point, seeing if a spouse or even kids can tag along. I know that recently Phoummala Schmidt, brought her daughter along to a whole series of Microsoft events. And it was a real eye opener for both of them. Her daughter got to see what Mom does and the kind of people that she interacts with; and Mom got to show this whole other like, "No, I'm not just going out for drinks or whatever. Like there's real work happening." So those are the ways in which conventions are challenging... Mike: 06:36 Yeah. Yeah. So, so the other, one of the other ways that the conventions are challenging, and they're definitely not like some sort of vacation... You know, unless, and I've started to do this more and more often, is I schedule a day ahead or a day on the back end, to make them into some quiet time somewhere, you know, if I'm going to some place that's awesome, and I know the convention is just going to be nonstop one after another, three days of hard running the whole time. I'll schedule my return flight for 24 or 48 hours later so that I can go and go to some sort of temple or some landmark or something like that and debrief and decompress after that. Keith, I would think that, for an introvert that would be super helpful just to check out for 24 hours, you know? Keith: 07:39 I don't do many of the parties at any of the conventions though. I'll meet the rare exception, like run DMC was at VMWorld last night, you know, it's run DMC, so you're going to do that. Uh, but you know, about one o'clock in the morning and I'm pretty, you know, tired of people. So for the most part at night, I don't normally do the big events just because, you know, I spend so much of the day, I'm visible in the, in, in most of these conferences and I get to kind of the tough part, like where I'm not known at conferences are actually even worse than conferences that I'm known at. Al: 08:20 And if I could go back to Mike's Point, I guess it does depend on where you're going, if it's a unique location. So for example, for me, I'm Cisco and Tech Field Day were kind enough to allow me to join them for Cisco Live Europe in Barcelona and I hadn't flown overseas in over 25 years, so I took full advantage of that opportunity. I arrived two days early, did some sightseeing and I was able to kind of just chill, relax, take in the sights and sounds and the rest of the week was relatively straightforward, very easy going, not very stressful at all, but there was a lot involved. Don't get me wrong, but it definitely helped the cause. Mike: 08:58 That's a really good thing to do, to go early and get acclimated. You know, the other thing too is when something happens, when you're at an event that is a significant event. You know I'll never forget the time I was at a conference and Columbine happened. Right. There. So that was a major event and brings up all kinds of interesting dynamics associated with that particular event - whatever it is. You know, I know people that you know, were at an event when 9/11 happened. I know people that were an event when that Las Vegas shooting happened a couple of years ago. So how do you deal with that? Especially if you're known to be religious? Leon: 10:03 So we're going to to dovetail into that in a minute, but I think, to both of your points, that I was just saying - for people who don't get to go to conventions, why are connection challenging? But I think just as meaningfully for folks who DO go to conventions and may feel like they're heading toward that burnout phase, that's really good advice is to schedule some extra time so that A) you feel like you're getting some personal time. Some "me time" as you might call it, associated with the event if you can. And then Mike, to your point, when, when something big happens in the world that does change the entire nature of it - of the, of the event - all of a sudden it becomes about something much larger than just, you know, Keith, you said 40,000 people at reinvent, it's not just 40,000 people reading it. It's 40,000 people who are all having a shared national or international experience away from home, away from kids, away from their support network. And so everyone sort of becomes the support network for each other. And that can be somewhat transformative. And I think Mike, where we are going with that is, is the next part of this topic, which is: not just the ways conventions are challenging or, or different for everybody, but as people with a very particular religious or moral or ethical point of view, what do conventions represent? You were all talking about taking extra days before and after. So, as an Orthodox Jew, the trick for me is that for the Sabbath, for Shabbat, I'm completely offline. Anything with an on off switch can't be touched. So I can't fly, I can't travel. And even where I stay, hotel rooms become interesting if they have electric doors or you know, entrances that are only... You know, like it becomes this, this piece of calculus that is tricky. So I was at Cisco Live Barcelona last year and my wife and I went out, my wife happens to have been born in Spain, but we came out several days ahead of time so that we could be there in time for the Sabbath. And we stayed several days after. But it creates this even larger buffer, which I'm sorry to say, you know our, I'm happy to say if it's Barcelona, if you're in Spain, not such a problem, like who's going to complain about some more extra days in Spain? Keith: 12:28 Oh, I'll throw you a in Chicago in February, you will see. Leon: 12:33 Right. Okay. Right, exactly. So this past Cisco live with it being Shavuot, I had to come out on Thursday. And Friday night I just sort of hunkered down and I was in the city, in my hotel room, but those next three days, offline - from Friday night through Saturday night, which was Shabbat, and then Sunday and Monday, which was the holiday of Shavuot, were all offline. And it became very complicated. And being away from family was tricky. So scheduling can be an interesting thing. Al: 13:04 That's a lot of discipline. I'll give you a lot of credit. Mike: 13:06 Yeah, really Leon: 13:07 You know what, we knew what we were getting into, me and the family and, uh, I will tell you lessons were learned, and we will probably just opt to skip a convention if it happens like that again because it was not the experience I wanted. But I appreciate the support. Okay, so scheduling, like I said, scheduling can be tricky for us with religious points of view. Not just scheduling getting there, getting home. But also daily scheduling, finding time and a place to pray. So I'm curious if you've had any sort of experiences about that? Al: 13:44 Not necessarily. I mean, you can always find a location to pray if one is not provided. But for example, Cisco live in Europe (and I'm sure the same here in the US) they provided a prayer room for all religions to use, which I found very convenient, very kind to them. It actually caught me off, I guess caught me by surprise. Maybe I'd never seen it or stumbled across such a thing. So I thought it was a nice gesture on their behalf. Leon: 14:08 So I saw the same thing. I was ecstatic. I actually took a selfie in the room. I was, you know, had my tallit and tefillin on. I'm like, "THIS IS AWESOME!!" So, uh, it was really wonderful. Not only was it a room to pray, but they had removed all iconography. There was no, like, sometimes you'll find a place and they'll be crosses up or something like that. And it can be very challenging for some folks. Where like, "well, wait, but that's not my space." They just made it a very generic space. Cisco live us does not do that, just FYI. But it was deeply appreciated, especially because, you know, you've got to duck away for three times a day or five times a day. And it's like, "No, I got a place, like there's a room." I find a corner. I literally just like walk off the floor and find a corner to stare at a wall. Like, "What's he doing?" Like, "Don't worry about it. It's okay." Mike: 14:55 So you're in the middle of your prayer. You know, you're doing this heavy duty, some heavy lifting on prayer time with God and all of a sudden some guy comes in and starts taking selfies cause he's so excited that there's a prayer room. Al: 15:10 That's a good point. Leon: 15:13 Okay, so the room was empty. I was not, I was not going to take my enthusiasm. I was going to curb my enthusiasm if anybody else was in the room. But in fact it was, the room was, was all, it was all clear. Mike: 15:27 I'm so glad you were sensitive about that. Keith: 15:28 Al you missed the chance to say "a Jew and a Muslim walking into a prayer room." Leon: 15:33 I... Al: 15:34 I wanted to but I didn't know how that would come across. Leon: 15:36 No, no, no, no. I I keep on waiting. I keep on waiting for that opportunity for like, you know, for, for the, the folks who follow Islam and, and you know, the Jews are like, "Yeah, we got to do that. Okay, this is our room? All right, cool. Great!" Mike: 15:50 So Jew and a Muslim and a Christian go into the prayer room at Cisco Live... Al: 15:57 I like that Mike. That's, that's a good one. Keith: 16:00 That's literally the joke. Leon: 16:03 That's the tagline for the entire podcast. Okay. Okay. So finding a time and a place to pray. So with the prayer room, that was wonderful. But have found that breaking away, you know, if I'm in the middle of a session, a class or I'm in the middle of a conversation, realizing that... So for Orthodox Judaism, there are specific times that you pray - windows in which you can pray. And the windows are hours long. But sometimes you realize, "oh my gosh, the day is getting away from me." So finding both the time and the ability to break away is a challenge. I don't know if it's a challenge for any you folks. Al: 16:42 It could be. I mean, you can always make it up as long as, at least the way I feel, you have the intent, uh, you're doing it for the right reasons. You're not doing it to show off or gather attention. You know, it's, it's, there's a purpose behind it and in its most times in that it's respected. It's not a big deal. Leon: 16:59 So another challenge that I think folks with religious points of view have a with conventions is just eating, just finding food. Now a lot of conventions will have options. In fact, I remember laughing because of the two dozen different dietary options. One was "gluten free, low sodium halal." Like that was incredibly specific. Al: 17:21 It's pretty detailed Leon: 17:22 But not always. Um, so I dunno what's, what kind of food challenges have you run into being a conventions? Keith: 17:32 So every now and again I'll do a "Daniel fast" where, you know, I'm not eating any meat or choice foods. You find that it's hard to find non-choice foods during a convention. And the other thing is that you know, you, and this is a, a challenge that you know, vegans and vegetarians have. And then when you go for meals at night, like the convention will at least have Vegan options. When you go to dinner with your friends at night? You know, my Tech Field Day brethren love their steak. And it can be really difficult to find some place. So, you know, that's happened to me more times than I would like where I, where I had bad timing, where I did this fast, that didn't allow me to eat choice foods. Great thing about it is that it, you know, the purpose of it is for me to pray and, and be reminded of my sacrifice, the bad part about it. There's a lot of times for it to feel like it's a sacrifice. Al: 18:40 I think for me the biggest challenge, if any, the food options are most times are readily available and most conferences do accommodate, you know, the needs of the specific religion. You know, my case hello, but sometimes it's a, it's disappointing to put it nicely when food is not labeled properly. That's probably the easiest thing to accommodate. Mike: 19:05 What's an example of that, Al? Al: 19:07 If there's a tray of food, like for example, I don't want to, I don't want to call it a specific company or conference, but let's just say it's a buffet style set up and they have trays of food, one behind the other, and there's no label, it'll just tell you, let's say for example, "chicken", but there are other ingredients that you can see for yourself, but you're not necessarily sure what they are. KeithSpeaker 6: 19:31 Yeah. So I'm Al's food taster. So I go in and Al is like "Is there any pork in here?" You know what, Al, I will let you know if there's pork in this chicken dish. Al: 19:42 Right. But I appreciate you, Keith. But also for, uh, for allergy related reasons as well. Keith: 19:49 Yeah. Right. Like I'm allergic to peanuts and there's not always obvious that peanuts are in, in, in a dish. Leon: 19:56 So one of my coworkers, Destiny Bertucci, who's another voice you'll hear on, Technically Religious has a gluten free diet, and finding things that are really gluten free... And I think we've also also run into the well-intentioned, clueless staffer, you know, who's like, "Is any of this, is any of this kosher?" "Oh yeah. I'm pretty sure that over there is kosher." It's like "that's bacon." Yeah. Keith: 20:32 That reminds me that during the superbowl my vegetarian option for chili is a chicken chili. For vegetarians. I have the chicken chili. Mike: 20:43 Oh, okay. Yes, of course. Leon: 20:45 Yeah. You know, so there's no like, you know, gluten free. It's like, "I see there are croutons on that salad." What are you, what are you doing? So you have to be sort of vigilant. And I like, I like the idea of having a taster, having like a designated person to help out with that. And you know, Al to your point about like, well, what was the, you know, was it, um, sauteed in a wine sauce? Al: 21:09 That could be the case as well. Leon: 21:11 Yeah. Yeah. So for a lot of us, especially those of us who have much more strict dietary needs, the conventions become a big building full of, "nope." Like, "can you have this?" "Nope." Al: 21:23 You end up eating like a rabbit. Mike: 21:25 Which is, which isn't bad by the way. Right? It's a good opportunity to, uh, like, uh, Keith was saying before, you know, sort of sacrifice, right? Uh, what do they call it? A asceticis, right? Yeah. Leon: 21:37 Right. Well, you become very sensitized both to the, the, the choices that you've made. And also you become very sensitized to the blessing of having food available. So, you know, in one respect, when, when you do, you know, when I do go to a convention and there was one point, I remember it was Cisco Live Europe in Berlin and they put out a, and normally those buffets that you were talking about or just again, "nope". Like, I don't even look, I'm not like, "nope. Nope. It's not, it's not, it's not, it's not". Um, and, and my coworker is like, "we'll just go look." You might have something like, "no, huh-uh, ain't going to do it." There was an entire set of coolers full of Ben and Jerry's ice cream pints, which is kosher, and I just like, I'll be having seven of these. Al: 22:28 Can I have it delivered to my room? Leon: 22:29 Yeah, it was great. Like, but the point wasn't like I gorge myself. The point was I was so grateful. I felt such a, an a huge moment of, "wow, what a blessing this is." That it was wonderful and I was giddy from it. So that's, that's sort of the, the other side of it. When it happens, Leon: 22:47 We know you can't listen to our podcast all day. So out of respect for your time, we've broken this particular conversation up. Come back next week and we'll continue our conversation. Doug: 22:57 Thanks for making time for us this week. To hear more of Technically Religious, visit our website, https://technicallyreligious.com where you can find our other episodes, leave us ideas for future discussions and connect to us on social media. Leon: 23:10 Hey, there's this great convention happening next week in Cleveland who's in? Everyone: 23:14 (grumbling, excutes, nope)  

Joining us this week is Sriram Subramanian, Founder and Principal Analyst, CloudDon. About Cloud Don Sriram Subramanian is an independent analyst catalyzing modern enterprise IT Transformations. His primary area of coverage is how cloud computing/ container technology based services are impacting modern enterprise IT. His representative clients include vendors such as Red Hat, Microsoft, HPE, and end users in retail, fin tech and healthcare. Service Mesh Event (18 min 45 sec) Service Mesh Day : March 28 – 29, 2019 Fairmont Hotel in San Francisco Highlights: • Thoughts on late 2018 AWS ReInvent and KubeCon (Software vs SaaS) • Vendor Lock-In Hype • Service Mesh • Edge Computing Highlights • 0 min 16 sec: Introduction of Guest • 1 min 33 sec: Impressions from AWS ReInvent and KubeCon 2018 o Software vs SaaS • 9 min 00 sec: Services Spun up Inside Kubernetes vs Vendor Lock-in o Over Hype of Vendor Lock-In? • 12 min 38 sec: Service Mesh o Why do I need Service Mesh on Kubernetes? o Enable Cloud-Native Paradigms o Kubernetes is not the Answer to Everything • 20 min 35 sec: Data Center Environment and Edge Computing o Is Kubernetes assumed for Edge? o LF Edge Announcement Podcast o Federation • 30 min 21 sec: Wrap-Up

Joining us this week is Lee Atchison, Sr. Director of Strategic Architecture, New Relic. Author of Architecting for Scale on O’Reilly (link is not a tracked URL) and recent speaker at AWS ReInvent ’19 – Cloud Computing in an Edge World. About New Relic New Relic gives you deep performance analytics for every part of your software environment. You can easily view and analyze massive amounts of data, and gain actionable insights in real-time. For your apps. For your users. For your business. Highlights: • Impact of Edge on DevOps (People / Process / Tools) • No DevOps Shortcuts for Edge • Scaling Issues b/w Cloud and Edge • Application Updates at the Edge • Environment Awareness

Joining us this week is Sarbjeet Johal, Principal Advisor, The Batchery. About The Batchery Founded in 2015, The Batchery is an Berkeley-based global incubator for seed stage entrepreneurs ready to take their startup to the next level. We are a community of veteran investors and advisers ready to provide you with ideas, insights, and networks. Our partnerships with law firms, technology providers, and other startup services means that you start building your company the minute you join us. Highlights: • Latest in Data Centers and Hybrid Clouds • Amazon Announcement on Outpost and ReInvent Thoughts • Design Approaches of Cloud and Future Technology

In another episode LIVE'ish from AWS re:Invent 2018 I catch perennial favorite and long-time friend Dustin Wilcox as he wandered the vendor show floor. Highlights from this week's show include... Raf asks Dustin the obvious question - what's a CISO doing at a cloud expo? Dustin discusses some of the cloud transformation challenges for security teams Dustin unveils the three things he is currently concerned most about for security, in the cloud Dustin imparts a final piece of wisdom you won't want to miss...   Rafal's Guest: Dustin Wilcox - Vice President and Chief Information Security Officer at Anthem, Inc. - https://www.linkedin.com/in/dustin-wilcox-4896614/ 

Show: 374 Description: A review of all of the AWS 2018 re:Invent announcementsShow Sponsor Links:Datadog Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirtCategorizing The AWS RoadmapThe retail approach to all shapes and sizes (EC2, DBs, etc)The combined features (“solution”) approachThe “we don’t know” approach - becoming “serverless” (e.g. DB, LBs, AI)Customers - what do we hate about a big vendor we useAmazon is the 1st customer in a new businessAWS re:Invent 2018 Announcements (it's hard to get them all) Google Doc with URLsFrom Last Week in AWSFrom Trend Micro Cloud ResearchFeedback?Email: show at thecloudcast dot netTwitter: @thecloudcastnet and @ServerlessCast

This week's Tech.pinions podcast features Ben Bajarin and Bob O'Donnell analyzing multiple announcements from Amazon's AWS re:Invent conference, including the launch of several new custom chips, discussing the impact of HP's and Dell's earnings and what it means for the PC market, and chatting about the new agreement that will let Apple Music work on Amazon Echo devices.

This episode features some of my highlights from AWS Reinvent in Vegas and HPE Discover in Madrid as well as some news on a Flash Zero Day, borked Microsoft patches in November and more!

At day 2 of re:Invent 2018 I tracked down Arash Marzban, Armor's head of product to talk about his stage session and where the market is going for security - at a developer/builder focused cloud conference. This short conversation is quite interesting...

Simon & Jeff are joined by a live audience for the first time! Listen to some great updates and fun laughs. Shownotes: EFS Infrequent Access: https://aws.amazon.com/about-aws/whats-new/2018/11/coming-soon-amazon-efs-infrequent-access-storage-class/ S3 Intelligent tiering - https://aws.amazon.com/about-aws/whats-new/2018/11/s3-intelligent-tiering/ S3 Batch Operations - https://aws.amazon.com/about-aws/whats-new/2018/11/s3-batch-operations/ AWS DataSync - https://aws.amazon.com/about-aws/whats-new/2018/11/introducing-aws-datasync-for-accelerated-online-data-transfer/ AWS Transfer for SFTP - https://aws.amazon.com/about-aws/whats-new/2018/11/aws-transfer-for-sftp-fully-managed-sftp-for-s3/ Firecracker - https://aws.amazon.com/about-aws/whats-new/2018/11/firecracker-lightweight-virtualization-for-serverless-computing/ AWS Transit Gateway - https://aws.amazon.com/about-aws/whats-new/2018/11/introducing-aws-transit-gateway/ AWS Global Accelerator - https://aws.amazon.com/about-aws/whats-new/2018/11/introducing-aws-global-accelerator/ EBS Performance Update - https://aws.amazon.com/about-aws/whats-new/2018/11/amazon-elastic-block-store-announces-double-the-performance-of-provisioned-iops-volumes/ Amazon EC2 A1 Instances - https://aws.amazon.com/about-aws/whats-new/2018/11/introducing-amazon-ec2-a1-instances/ Amazon EC2 C5n Instances - https://aws.amazon.com/about-aws/whats-new/2018/11/introducing-amazon-ec2-c5n-instances/ Amazon DyanmoDB support for Transactions - https://aws.amazon.com/about-aws/whats-new/2018/11/announcing-amazon-dynamodb-support-for-transactions/ AWS GroundStation - https://aws.amazon.com/blogs/aws/aws-ground-station-ingest-and-process-data-from-orbiting-satellites/?sc_channel=sm&sc_publisher=TWITTER&sc_country=Global&sc_geo=GLOBAL&sc_outcome=awareness&trk=AWS_reInvent_2018_launch_Ground_Station_TWITTER&sc_content=AWS_reInvent_2018_launch_Ground_Station&linkId=60243499

This episode of the Down the Security Rabbithole Podcast is sponsored in part by Armor Cloud Security. Go check us out at www.armor.com!   This week's show is a multi-part release from AWS re:Invent 2018. We sit down with two of Armor's solutions consultants to discuss trends, insights from day 0, and discuss anticipated moves and market shifts. Expect this to be an insightful episode where we dive into cloud security from a development and security perspective.  

In episode #46, Simon and David chat about AWS Reinvent, Dell World, Microsoft Ignite, VMworld, CES, and other tech conferences, past and future. Learn about these conferences, which ones we'll be at, and gain conferences tips! Join us on this episode of vChat! Links from the show- AWS Re:Invent Microsoft Ignite The Consumer Electronics Show (CES) […]

O que o Oracle, o MS SQL Server, o MySQL, o Postgre e tantos outros não fazem que popularizou o uso de outras soluções, conhecidas como NoSQL? Como é utilizar uma dessas soluções, como o MongoDB? Minha base de dados não vai ficar um grande bagunça para dar manutenção? Bem, ela já é uma bagunça sem isso :). Participantes: Paulo Silveira, host do hipsters Mauricio Linhares, o cohost que realmente conhece uma penca de assuntos David Paniz, trabalhou no NuBank onde atuou bastante com NoSQL e é autor do livro de NoSQL da Casa do Código Gleicon Moraes, engenheiro de software da LuizaLabs, autor do livro Ferramentas DevOps Links citados no episódio e extras: MongoDB :P NoSQL Summer: uma sugestão de papers importantes Paper do Teorema CAP Palestra sobre NoSQL do David Paniz NoSQL Tapes: estudos de caso e entrevistas sobre NoSQL, assim como esse tape do Startup Tapes.  Apresentação do Brad Fitzpatrick sobre Memcached no Livejournal. Aurora Deep Dive do AWS Reinvent 2015, muito bom para entender os componentes de um DB e como chegaram a solução de um MySQL escalável Deep Dive do DynamoDB - para entender quais parametros o usuário tem que se preocupar e como um desenho de tabela incompatí vel com as queries pode custar caro Cursos bacanas relacionados: Curso de Redis Curso de MongoDB Produção e conteúdo: Alura Cursos online de Tecnologia - https://www.alura.com.br === Caelum Ensino e Inovação Edição e sonorização: Radiofobia Podcast e Multimídia

O que o Oracle, o MS SQL Server, o MySQL, o Postgre e tantos outros não fazem que popularizou o uso de outras soluções, conhecidas como NoSQL? Como é utilizar uma dessas soluções, como o MongoDB? Minha base de dados não vai ficar um grande bagunça para dar manutenção? Bem, ela já é uma bagunça sem isso :). Participantes: Paulo Silveira, host do hipsters Mauricio Linhares, o cohost que realmente conhece uma penca de assuntos David Paniz, trabalhou no NuBank onde atuou bastante com NoSQL e é autor do livro de NoSQL da Casa do Código Gleicon Moraes, engenheiro de software da LuizaLabs, autor do livro Ferramentas DevOps Links citados no episódio e extras: MongoDB :P NoSQL Summer: uma sugestão de papers importantes Paper do Teorema CAP Palestra sobre NoSQL do David Paniz NoSQL Tapes: estudos de caso e entrevistas sobre NoSQL, assim como esse tape do Startup Tapes.  Apresentação do Brad Fitzpatrick sobre Memcached no Livejournal. Aurora Deep Dive do AWS Reinvent 2015, muito bom para entender os componentes de um DB e como chegaram a solução de um MySQL escalável Deep Dive do DynamoDB - para entender quais parametros o usuário tem que se preocupar e como um desenho de tabela incompatí vel com as queries pode custar caro Cursos bacanas relacionados: Curso de Redis Curso de MongoDB Produção e conteúdo: Alura Cursos online de Tecnologia - https://www.alura.com.br === Caelum Ensino e Inovação Edição e sonorização: Radiofobia Podcast e Multimídia

O que o Oracle, o MS SQL Server, o MySQL, o Postgre e tantos outros não fazem que popularizou o uso de outras soluções, conhecidas como NoSQL? Como é utilizar uma dessas soluções, como o MongoDB? Minha base de dados não vai ficar um grande bagunça para dar manutenção? Bem, ela já é uma bagunça sem isso :). Participantes: Paulo Silveira, host do hipsters Mauricio Linhares, o cohost que realmente conhece uma penca de assuntos David Paniz, trabalhou no NuBank onde atuou bastante com NoSQL e é autor do livro de NoSQL da Casa do Código Gleicon Moraes, engenheiro de software da LuizaLabs, autor do livro Ferramentas DevOps Links citados no episódio e extras: MongoDB :P NoSQL Summer: uma sugestão de papers importantes Paper do Teorema CAP Palestra sobre NoSQL do David Paniz NoSQL Tapes: estudos de caso e entrevistas sobre NoSQL, assim como esse tape do Startup Tapes.  Apresentação do Brad Fitzpatrick sobre Memcached no Livejournal. Aurora Deep Dive do AWS Reinvent 2015, muito bom para entender os componentes de um DB e como chegaram a solução de um MySQL escalável Deep Dive do DynamoDB - para entender quais parametros o usuário tem que se preocupar e como um desenho de tabela incompatí vel com as queries pode custar caro Cursos bacanas relacionados: Curso de Redis Curso de MongoDB Produção e conteúdo: Alura Cursos online de Tecnologia - https://www.alura.com.br === Caelum Ensino e Inovação Edição e sonorização: Radiofobia Podcast e Multimídia

As of 2016 AWS has more than 70 services, estimated 2 Million servers and 31 percent cloud market share. The recent Yearly AWS Summit is one of a good place to feel the excitement with 32000 engineers gathering, collaborate with boot camps, and see how things are getting put in reality and what others think about Cloud in general. Atish Narlawar talks about recent AWS Con 2016 to Stanley TSO, DevOps Engineer at @Huge. They start the conversation with the most major topic of the year AWS Lambdas. Stanley talk about Serverless Architecture and architecture patterns emerged from it AWS Serverless API w/ API Gateway, Mobile, and Live Video Stream Processing. Cost is one of the biggest factors for switching from current cloud-based servers to AWS Lambda serverless architecture, and Stanley thinks these savings are going to be the game changer. In one survey it was noted on actual production servers savings goes up to 50-90% of total current cloud expenses. Second, they talk about Alexa, and the concept of Voice user interfaces (VUIs). AWS hosted a workshop to develop Alexa skills using Raspberry PI. User Conversation is the design paradigm and interactions with the application services with little straightforward and natural way going to be a big thing in the upcoming year. Stanley thinks Amazon is pushing hard to make this transition sooner than later. He also speaks cover about AI, Machine learning presentations he attended, and how dev teams can use AWS AI services to build AI functionalities from scratch. Third, they talk about "How DevOps Culture getting evolved" across worldwide since its inception in 2009. Stanley finds DevOps became the necessary for agility; moving towards the direction of "Infrastructure as a Code" and gets into the Continous Integration workflows along with application code. Finally, He talks about Security Automation, and how Automation in the security has taken overall security to the next level. He shares the "Psychology of Security Automation," its placement from day one in the project. And how tools from NetFlix like Lemur and Repoman automates SSL creations and User permissions and facilitates development team a pace of “Move and Fast Break the things, ” and fulfills testing and security compliance. Venue: Huge, Brooklyn, NY. Host: Atish Narlawar Contact: techpodcast@aol.com Guest: Stanley Tso@stso

Amazon goes all in on AI and Big Data at AWS:Reinvent 2016http://www.techrepublic.com/article/amazon-goes-all-in-on-ai-and-big-data-at-aws-reinvent-2016/AWS EC2 Instances Updateshttps://aws.amazon.com/fr/blogs/aws/ec2-instance-type-update-t2-r4-f1-elastic-gpus-i3-c5Custom silicon, 9PB storage boxes, and 25Gb Ethernet – just another day in AWS hardwarehttp://www.theregister.co.uk/2016/11/30/aws_hardware/Amazon Athenahttps://aws.amazon.com/fr/athena/https://aws.amazon.com/fr/athena/pricing/https://prestodb.io/Run IoT applications seamlessly across the AWS cloud and local deviceshttps://aws.amazon.com/fr/greengrass/How GCP is challenging AWShttps://stratechery.com/2016/how-google-cloud-platform-is-challenging-aws/Five Reasons Why The Amazon Cloud Has Lost Its Silver Lininghttp://www.forbes.com/sites/jasonbloomberg/2016/11/27/five-reasons-why-the-amazon-cloud-has-lost-its-silver-lining/#6a7edcdeed1fStream Processing Myths Debunkedhttp://data-artisans.com/stream-processing-myths-debunked/Debeziumhttp://debezium.io/docs/A critique of the CAP theoremhttp://jvns.ca/blog/2016/11/19/a-critique-of-the-cap-theorem/-------------------------------------------------------------http://www.bigdatahebdo.comPour nous suivre : Alexander : https://twitter.com/alexanderdeja Vincent : https://twitter.com/vhe74Cette publication est sponsorisée par Affini-Tech ( http://affini-tech.com )

Amazon goes all in on AI and Big Data at AWS:Reinvent 2016http://www.techrepublic.com/article/amazon-goes-all-in-on-ai-and-big-data-at-aws-reinvent-2016/AWS EC2 Instances Updateshttps://aws.amazon.com/fr/blogs/aws/ec2-instance-type-update-t2-r4-f1-elastic-gpus-i3-c5Custom silicon, 9PB storage boxes, and 25Gb Ethernet – just another day in AWS hardwarehttp://www.theregister.co.uk/2016/11/30/aws_hardware/Amazon Athenahttps://aws.amazon.com/fr/athena/https://aws.amazon.com/fr/athena/pricing/https://prestodb.io/Run IoT applications seamlessly across the AWS cloud and local deviceshttps://aws.amazon.com/fr/greengrass/How GCP is challenging AWShttps://stratechery.com/2016/how-google-cloud-platform-is-challenging-aws/Five Reasons Why The Amazon Cloud Has Lost Its Silver Lininghttp://www.forbes.com/sites/jasonbloomberg/2016/11/27/five-reasons-why-the-amazon-cloud-has-lost-its-silver-lining/#6a7edcdeed1fStream Processing Myths Debunkedhttp://data-artisans.com/stream-processing-myths-debunked/Debeziumhttp://debezium.io/docs/A critique of the CAP theoremhttp://jvns.ca/blog/2016/11/19/a-critique-of-the-cap-theorem/-------------------------------------------------------------http://www.bigdatahebdo.comPour nous suivre : Alexander : https://twitter.com/alexanderdeja Vincent : https://twitter.com/vhe74Cette publication est sponsorisée par Affini-Tech ( http://affini-tech.com )