Podcasts about sap hana

Christopher Carter is the founder, Chairman, and CEO of Approyo, a Wisconsin-based managed services company that was one of the first to put SAP systems into the cloud (back in 2002). He founded Approyo in December 2013 to provide full SAP technology services with extensive capabilities in hosting, managing, upgrading, and migrating.Summary of PodcastKey TakeawaysData Quality is the AI Blocker: AI's value is limited by the "crap in, crap out" problem. Carter advises a mandatory data cleansing project before any AI initiative, as AI tools alone are insufficient and require human oversight.Human-in-the-Loop Governance: Carter advocates for a human-in-the-loop for all critical AI processes to prevent compounding errors. He criticized McKinsey's reported plan for 30,000 autonomous bots, arguing they should be tools to augment human employees, not replacements.Mugatu AI Prevents Data Leaks: Mugatu AI is an AI security tool that uses predictive analytics and homomorphic encryption to prevent accidental data leaks. It flags risky emails (e.g., with sensitive spreadsheets) and suggests secure alternatives like shared links.Early Cloud Adoption: Carter was an early pioneer in virtualising SAP systems on VMware and Azure, which initially met with corporate resistance but ultimately proved to be a cost-saving, flexible innovation for the SAP ecosystem.The "Crap In, Crap Out" ProblemCarter's core message: AI's effectiveness is directly tied to data quality.Problem: Legacy systems contain decades of "dirty data" from acquisitions, stagnant records, and inconsistent formats.Example: One client had 27 years of uncleansed EDI data.Example: Another client's acquisitions created duplicate part numbers (e.g., 7 different codes for the same part).Solution: A mandatory data cleansing project before any AI initiative.AI tools can assist with scraping and matching, but human oversight is essential for validation.The goal is a human-AI partnership to ensure data accuracy.Human-in-the-Loop GovernanceCarter advocates for a human-in-the-loop for all critical AI processes to prevent compounding errors.Critique of McKinsey's Bot Strategy: Carter questioned McKinsey's reported plan for 30,000 autonomous bots, arguing they should be tools to augment human employees, not replacements.Relevance to Finance (FP&A): Clean data and human-AI collaboration enable rapid scenario planning (e.g., 4 forecasts instead of 1), a major game-changer for finance teams.Mugatu AI: Preventing Accidental Data LeaksMugatu AI is an AI security tool named after the villain in the movie Zoolander.Function: Prevents accidental data leaks by flagging risky outbound emails.Mechanism: Uses predictive analytics and homomorphic encryption to analyse content in milliseconds.User Feedback: Provides a "security score" (0-100) and suggests secure alternatives (e.g., a shared link instead of an attachment).Status: 14,794 end-users across 3 major corporations; acquisition interest from companies like NVIDIA.Career as a Tech InnovatorCarter's career is marked by early adoption of disruptive tech, often ahead of corporate policy.SAP & Cloud Virtualisation:Pioneered virtualising SAP systems on VMware and later on Azure.This innovation initially met with resistance from SAP executives, who had not yet formalised a partnership with VMware.Re-engagement with SAP:After a negative client experience, Carter left the SAP ecosystem.A conversation with a friend (SAP's VP of Oil & Gas) over a bottle of Macallan scotch introduced him to SAP HANA, reigniting his interest.Carrick Rangers FC:A minority owner of the Northern Ireland Premier League football club.His involvement stems from a lifelong passion for soccer, including a past role as VP of Sales/Marketing for a professional team. The Next 100 Days Podcast Co-HostsGraham ArrowsmithGraham founded Finely Fettled in 2014 to provide data from The UK High Net Worth Database to marketers targeting affluent and high-net-worth customers. He's the founder of MicroYES, a Partner for MeclabsAI, creating lead generation AI Agents & Workflows and introducing the MeclabsAI Platform. Graham also provides an Answer Engine Optimisation solution to get your website in shape to be found by LLMs.Kevin ApplebyKevin specialises in finance transformation and implementing business change. He's the COO of GrowCFO, which provides both community and CPD-accredited training designed to grow the next generation of finance leaders. You can find Kevin on LinkedIn and at kevinappleby.com

Jeff Collins, CEO of WanAware The last time the channel faced a shift this fundamental was the rise of the hypervisor. That transition reshaped everything, but it happened inside the four walls of the data center. What’s different about the current moment, argues WanAware CEO Jeff Collins, is that AI workloads, inference nodes, IoT, and SCADA infrastructure are being bolted onto customer environments without the kind of formal network redesign that virtualization demanded. The result is a growing visibility gap that most MSPs don’t realize they have. Collins points to a striking finding from a WanAware survey conducted in late 2025: when business leaders were asked about their visibility gap, they rated it extremely high. When IT was asked the same question, they rated it low. Both were technically right. IT was measuring visibility against the machines in their purview – Active Directory, database servers, web front ends. The business was measuring it against everything else: Kubernetes workloads, cloud functions, agentic AI processes, and infrastructure that might not exist tomorrow. That disconnect is why MSPs can show perfect MTTR and SLA performance while the customer is saying you’re failing. The conversation covers where traditional monitoring breaks down, why 30% false positive rates persist even after major platform investments, and how ephemeral workloads designed to disappear create alerts that will never resolve. Collins makes a compelling case that MSPs need to push visibility up the OSI stack, from layers one through three into the application and business logic layers where margin is significantly higher. He shares a practical framework for how to start, using vertical industry knowledge – particularly in sectors like Canadian oil and gas, where SCADA networks and AWS IoT Core infrastructure represent opportunities to grow a $1,000-a-month customer into a $30,000-a-month engagement. Read Full Transcript Robert Dutt: Hello and welcome to the ChannelBuzz.ca podcast, bringing news and information to the Canadian IT channel for the last 16 years. I’m Robert Dutt, editor of ChannelBuzz.ca and still your host for the show. Today we’re talking about a problem a lot of MSPs and channel partners are starting to feel, even if they don’t always have a name for it yet, and that’s visibility. As AI workloads, hybrid architectures and distributed endpoints become the norm, network traffic is changing faster than the tools that many partners rely on to understand what’s actually happening inside their customers’ environments. My guest today is Jeff Collins, CEO of WanAware. Jeff spends a lot of time with service providers and enterprise teams dealing with this shift, where accountability for performance, security and uptime is increasing, even as environments become harder to see and harder to diagnose when something goes wrong. WanAware operates in the network and infrastructure visibility space, but this conversation isn’t about the tools, the dashboards. It’s about how blind spots form in modern networks, why they’re easy to miss until there’s an outage, a security issue, or an SLA failure, and what partners need to understand as AI-driven infrastructure quietly reshapes traffic patterns and dependencies. In this discussion, we’re going to explore where traditional monitoring starts to fall apart, how partners can rethink what good visibility really means today, and why the ability to see what’s happening across distributed environments is quickly becoming both a risk issue and a business opportunity for MSPs. If you’re responsible for customer outcomes, but you don’t always feel confident you can see everything that matters, this conversation is for you. [MUSIC] Robert Dutt: Jeff, thanks for taking the time. I appreciate it. Jeff Collins: Thanks, Rob. Thanks for having me on. Robert Dutt: You’ve been advising partners, MSPs, VARs, these types of folks through a lot of change over time. Why does this moment with the rise of AI workloads and the continuing trend of hybrid networks feel like a real inflection point rather than sort of just the next evolution of the way things look? Jeff Collins: I think one of the biggest reasons why is because it’s so transformational to what MSPs and resellers and VARs and distributors have dealt with for, let’s say, the last 25 years. If we think about the last major inflection point that they dealt with was really kind of the realm of the hypervisor, this ecosystem where no longer did we have to have a server running an operating system, and that created kind of the whole ecosystem we deal with today. It created cloud, it created containers, all those things were built off this concept of a hypervisor. That was really the last major transformational thing that has happened. Now we fast forward to today and we’ve got this era of AI. We’ve got this era where we’re now taking agentic approaches, generative approaches, to things that our customers deal with every day. When I talk about our customers, those are the customers of the MSP, those are the customers of the reseller, the distributor. Not only are they dealing with that, they’re dealing with this massive evolution in the customer base, but they’re also having to do that same evolution in their own environments. If you’re an MSP and you’re focused on infrastructure, or you’re an MSP and you look more like an MSSP where you’re focused on security, now you’re starting to have to deal with, “Okay, I’ve got these tools, I’ve got these people, I’ve got these agents, I’ve got all these entities inside of my business that are doing something for my customer.” But now I have to think about how am I going to do that faster? How am I going to do that better? How am I going to do that more effectively? Because our customers are getting much more advanced. That’s really one of the biggest things that I see that we’re seeing a lot of, that “Where do I start?” from the channel partner community. When we think about the channel, we know all this stuff is going on, but it seems like such a Herculean lift that I think sometimes it’s hard to know where we make that first step. Robert Dutt: That makes sense. A lot of this, a lot of AI especially, and to a degree sort of the hybridization of the network, that complexity has come on without kind of a formal network redesign. Like you mentioned the transition to hypervisors and that necessitated rethinking how things were done because it was a physical change. Whereas a lot of, especially with AI, it’s kind of being bolted in, added on as you go. Why does that make the environment today harder to understand than maybe it was for past transitions when you’re sitting there watching it as an MSP or other partner? Jeff Collins: Well, I think one of the biggest reasons why this era is so much more difficult than the last transition is because we’re not bound by the four walls of our proverbial house. If we think about when we dealt with the last transition, every customer, their physical server sat inside of something they control. So we’ll refer to it as their house because that’s the easiest kind of comparison we can do. In today’s world, there’s certainly a lot that exists in our customers’ houses and in the houses that the MSP or the reseller or the channel partner or whomever it is are engaged in. But so much of that’s going outside of those walls. And when we think about AI, AI is certainly outside of those walls. I mean, we might be dealing with Anthropic, we might be dealing with ChatGPT or Gemini or the thousand other agentic or generative approaches that are out there. Those are all over the place. And now we’re asking these entities to take oftentimes a process-driven approach that they’ve had for 20, 25 years. And how do you change that process-driven approach when you don’t really know where those workloads, where those assets, where that data is going to reside either today or tomorrow, or even if that data that we’re looking at is even going to exist tomorrow. That’s this whole realm. I mean, we’ve been talking about ephemeral workloads for, you know, let’s call it 14 years, 15 years since really the rise of AWS. But now we’re starting to deal with these ephemeral workloads, not just in the realm of infrastructure, but also in data, in generative concepts, in agents. You know, historically, we had Bob Smith, who might have worked in the NOC. Well, tomorrow, Bob Smith is an agent. What does that look like? It’s AI. What did Bob Smith do yesterday? Did Bob Smith, the new agentic version of Bob Smith, did that person do the right thing, the wrong thing, the incorrect thing? How do we manage that? How do we deal with that? How do we process that? Those are all the things that are across the board, just happening at massive rapid scale. And so, you know, it’s a really difficult time right now to be an MSP or a channel partner, but it’s also an amazing time to be an MSP or channel partner. You know, our world, our capabilities are advancing so fast. You think about one of the simplest use cases that’s out there that all of us think is simple, that MSPs deal with every day, is a circuit outage. You know, a telecom circuit goes down and it’s connected to SD-WAN or it’s connected to a router or it’s connected to some type of device that’s out at the prem. And historically, every MSP on the planet’s dealt with it kind of in a similar way. We get an alert from a monitoring system that feeds a ticketing system. It pops up on a tier one agent’s dashboard. The tier one agent looks at it, they verify power, they verify if the router’s operational, and then they open a ticket with a carrier. And then they, and that’s the hurry up and wait type of world. Well, now in the era of AI, that changes that quite a bit, because every one of those things are very process driven. We don’t need people for that anymore. So now we can have a system take that process flow on, do that. Now, historically, we could use a system to do that. We could write automation and a lot of MSPs did that historically, but the problem with automation is automation is static. When we leverage AI, we can leverage enrichment that helps influence that agentic approach. And so now if there’s a nuance going on, let’s say an example is there’s a global power outage. So let’s say there’s a power outage in the entire Vancouver area. We know that. Well, historically, if we’re looking at that, we see all these customers that are down, we might through a tier one agent approach, a person-based approach that following a process, or even an automated approach, not really correlate that. Because if the MSP is in, let’s say, Montreal, they might not realize there’s a large scale power outage in Vancouver, which is thousands of kilometers away. And so when we think about that, that’s really where these things can change a lot from an agentic perspective. And then the MSP gets the joy of being able to repurpose that person to be much more valuable to their organization, that tier one person can become tier two, and that can really start changing that dynamic a lot. Robert Dutt: Most MSPs would have historically said we have good visibility across what our customers are doing. And probably I would say most believe they have good visibility today. Where does that confidence most often turn out to be misplaced or to start to break down as the model shifts? Jeff Collins: Yeah, so I would 100% agree that most MSPs, when workloads are static, have great visibility. The problem is that in today’s world, so many workloads are becoming dynamic. And we see that change happening consistently. You know, customers, you know, historically MSPs had problems monitoring services inside of a cloud provider. You have ephemeral workloads, you have workloads that aren’t necessarily a server, they’re much more like a service. So you have things that might be a Kubernetes instance, they might be a Kubernetes runtime instance, they might be a function. Those are all things that are crucial to the operation of a customer. They’ve taken those workloads that historically operated on a machine. And they’ve taken those workloads and now they’re in some type of small form factor instance that exists for a very short period of time. That’s been very difficult for MSPs to deal with across the board. But now we take that same concept and that same concept goes outside of the cloud providers. We now have that moving into inference nodes. We now have that moving into IoT and IIoT and OT, where we’re starting to deal with these ecosystems where these workloads are very ephemeral by nature. They might exist for a short period or components of those might exist for a short period, or the way that those are correlated and analyzed might exist. But if you think about inside of a customer from a business risk perspective, those actually carry the highest business risk. An individual Windows 2012 server has some level of business risk. If it’s running SAP, probably a higher level of business risk. But if it’s one Active Directory node and the customer has 100 machines in Active Directory, it doesn’t really matter in the scheme of the world. And so those are the realities of what happens as we kind of think through this stuff. And so for MSPs, this really drives that visibility gap. You know, we did a survey earlier this year, or actually late last year, sorry, in 2025. We did a survey across the board asking business leaders really what the visibility gap was and what they believed. And we asked business leaders and we also asked IT. It was really interesting to see kind of the dichotomy. When you ask the business what the visibility gap was, it was extremely high. When you ask technology what the visibility gap is, it was really low. Now they were both technically right. And here’s why. So IT was thinking about the visibility gap of the machines that they understand, the machines in their purview. So those might be, you know, an Active Directory server, a database server, maybe you have a web front end. Those are all there. And those are 100% being monitored to that IT team or to that MSP. The problem is, is the business itself is operating on a whole bunch of additional workloads that IT doesn’t necessarily have purview to. And so because of that, we start ending up with this difference of visibility. And that’s why oftentimes when you’ll go and you’ll talk to a customer or you’ll go and you’ll talk to the business itself. And the business is saying, why do we have this MSP who works for us? This MSP isn’t doing anything. And the MSP is coming back with these great reports that are showing MTTR is consistently dropping. You know, initial response time, triage time is consistently dropping. We’re blowing out every single metric that we provided you in an SLA or an SLO. And the business is coming back and saying, but you’re failing. And the MSP is saying, I don’t understand. We are not. And here’s all the metrics. And it’s because of this difference in resources that exist, that is what is happening. And so I think that’s one of the big areas that we always have to think through is, you know, as we’re looking at things and as MSPs look at things, they have to continue to be pushing upward inside of the business to understand all those areas that the business is driving that IT, who they’ve historically sold to, may not know about those resources, especially in a lot of these other spaces, AI, IoT, IIoT, OT, ephemeral workloads, cloud workloads, those types of things that are often outside of that scope. Robert Dutt: Yeah. I guess when you’re looking at sort of your visibility stopping basically at the edge of the organization, you’ve got all of this out there, pretty significant impacts on real world issues like latency, like security exposure, like the ability to meet those SLAs that you signed up for, those kinds of things. Jeff Collins: Yeah. Yeah. 100% agreed. And, you know, when you think about the core components that an MSP does, you know, MSPs generally deal with availability and they deal with performance. When you add in the MSSP, now we add in the security component. And some MSPs and MSSPs are more hybrid-based approaches. They may deal with all three. But as you kind of look at those, those core tenant areas have become much more difficult, especially in the last 10 years, certainly in the last year. I mean, the last year has been so disruptive for all that we do. And it’s because those pieces have become much less simple. You know, if I go back 25 years or even 20 years, customers by and large used MPLS networks, rather simple to monitor. You have guaranteed jitter, you have guaranteed latency, you have, you know, all these things that are very easily assumed by an MSP. So if latency exceeds 74 milliseconds between these two individual locations, that breaks the SLA that the provider provides and it’s an easy conversation. You need to go fix this. This is not okay. Well, in today’s world, most of our customers don’t have MPLS networks. Most of them have, you know, sometimes now it’s satellite. They might have Starlink for LEO. They might have 4G or 5G, depending on what portion of the world they’re in. They might have some type of broadband service, fiber broadband, or copper broadband, or some other type of realm. Well, those don’t necessarily have SLAs for that in any way, shape, or form. We may luck out and they have an availability SLA. Maybe it’s three nines or two nines, or maybe not even two nines, depending on what type of service that is. And then when we start moving inside of the network, outside of the service provider, outside of the circuit provider itself, we start moving into other arenas that look like this. You know, historically we had a Dell server, an HP server that had a mean time before failure. Well, that’s pretty easy to understand. If I have a server and it’s going to run for 25,000 hours, it’s easy to understand that life. But when now we’re starting to get services that have an expected failure, and that expected failure is generally measured in less than a year, because the assumption is that the software, the application, resolves that issue. If you’re an MSP and you’re not monitoring the application and you don’t understand the application, you’re now chasing outages that don’t matter. And that’s one of the other things that’s really hard. And we see this all the time. You know, I’ll talk to MSPs and they’re like, “Jeff,” and it goes back to that same conversation we had before of not knowing the business. “Jeff, we get, today we have 30% of our tickets that become false positives. What do we do about that? We’ve gone out and we’ve bought the newest monitoring platform. We’ve implemented AI. We’ve implemented all this automation. We spent $20 million doing that.” These are all real things that I have in conversations with MSPs. And at the end of the day, they still have 30% false positives that they’re working. And the reality is, is because it’s certainly an outage. There was 100% an outage that happened. But the reality is that outage was never going to get restored because the outage was designed. You know, that workload disappeared. A DevOps team or a DevSecOps team deployed a new environment and that workload is now gone. And there’s a brand new workload that you’re not monitoring right now. You know nothing about it. And those are the things that we all collectively have to continually evolve to. It’s that driving up the stack. You know, one of the things that I often see is, you know, we have this proverbial thing that we’ve all dealt with, the OSI model. You know, there’s seven layers to that OSI model. So often in MSPs, we focus on four of them. The problem is, and most MSPs only focus on the first three. They don’t even focus on the fourth one. The issue is, is there’s three more. And those three more are what get driven by the business. And so the more that we can focus on visibility within those three, understanding that, bringing that into our tools, that drives additional value. It also drives significantly larger margin. You know, if we think about margin contribution at monitoring a telecom circuit, that’s a pretty low margin at this point in time. There’s a lot of automation around that. Monitoring a server – that world used to be high-margin, but it’s compressing. Customers are increasingly doing more of this themselves. They’re doing automation directly into their CI/CD pipeline. So it becomes this knife fight. And there’s more and more MSPs that are out there that are also fighting for that same share of market. And so the key is, the more that MSPs can go up market, they can understand, you know, I hate to use this term digital transformation because it literally gets overused every day by every marketing team on the planet. But the reality is, is that if we go behind this marketing abomination of this term, and we actually look at what happens, there’s a ton of value that we can go after. And if we go after that value, and we go after what people are trying to do, we align with that, we can now take those same products, those same processes that we’ve historically had as MSPs, and we can really start evolving that. Moving upward, driving in significant value, taking our tool sets that we may have today, maybe those can evolve with us, maybe we have to make new changes in our tool sets. But the reality is we’re driving that margin upward. So we’re going from maybe our contribution margin to our business today is 30%, let’s say, we can start moving back up into 60, 70, 80% contribution margin from a managed services perspective, which is where we all want to be. We don’t want to be fighting knife fights for 30%. It’s just hard, it’s difficult. Our customer acquisition costs are still generally high. We have salespeople, we have marketing efforts, we have all those things that we’re burning through every day. And we need more and more market share, we need more and more assets that we’re monitoring. And as a result of that, we need better ways that can contribute higher margin and create stickier customers that we’re not in those knife fights with. Robert Dutt: The situation seems to be putting MSPs in a situation where they’re increasingly accountable for outcomes that they can’t fully see the contributing factors of. Before you move on, I just wanted to double click on that just a little bit and just ask, how does that change kind of the risk profile for an MSP when you’re accountable for those things that you don’t completely understand or have complete control over? Jeff Collins: Yeah, I would say a lot of that. And one of the things that MSPs have to think through is a lot of that starts at the sales cycle. If you don’t ask the right questions at the sales cycle stage, oftentimes you get pushed into that ecosystem. When you’re looking at the core functional plumbing behind what a customer is trying to do, and that’s the only thing you’re looking at, you often get siloed into that ecosystem. You’re looking at a server, you’re not looking at SAP. One server going down in SAP doesn’t necessarily mean SAP has a problem. But if that one server is the only HANA server in SAP, that’s catastrophic. You know, it’s this realm of contextual knowledge. Historically MSPs have that contextual knowledge, but it’s all the way at tier three and tier four. That contextual knowledge has to move to tier one. If MSPs want to get to the arena where that is no longer a problem, the contextual pieces have to move downward. You have to go from a hero-based MSP to a process-driven MSP. So many MSPs are built on heroes. It’s really hard to build a scalable business off heroes. You have to have heroes. Heroes are the people that when everything breaks and the world is on fire, they’re the ones who carry you through. And those heroes we want to have, we want to empower them, but they can’t be doing the stuff that should be done at tier one. So if we take that exact same question that you had, Rob, that question is, you know, how do we make, at the end of the day, how do we make MSPs more relevant to their clients and much more aligned with what the client’s trying to do? And that’s by taking the contextual knowledge of what the customer is trying to do, aligning that with the tactical approaches that the MSP is trying to do, and having a very crystal clear playbook of how this tactical component makes up this strategic initiative inside of the business. So we’ll take that, we’ll take that simple example. I shouldn’t say simple. SAP is far from simple. But the reality is, is that SAP is something that customers rely on. And when they rely on that, if SAP goes down the business goes down. And if you have an MSP that’s monitoring that, and at the same second of the same day, the MSP gets 36 tickets. We’ll just pick a random 36 number. 36 severity one tickets come in at that point in time. One of those severity one tickets is for SAP HANA. And the customer only has one instance of that. And that is taking down a large company. So that’s the first ticket. The next 35 tickets are for ephemeral workloads that the customer migrated off of, you got the alert, they migrated to a brand new ephemeral workload. And the 35 don’t matter. They’re false positives. But the one fully matters. In every single MSP on the planet, those 36 tickets are eligible for the same response interval. That’s a pretty tough average to be able to. Are you going to luck out and get the one? Or are you going to luck out, or not luck out, for lack of a better term, and work 35 false positives before you get to the one that matters? Now, most MSPs are going to tell me and they’re going to tell us that, well, we have more than one tier one path. That’s great. But the reality is you need to be responding to that one ticket right now. And you need to understand that that one ticket matters. And the only way you can do that is by starting at the beginning, starting with the sales cycle, understanding what customers are doing. If you’ve already gone down the path and the customer’s embedded, use your customer support teams. Understand what your customers are doing, start layering in that context, start enriching that data, knowing what that actually feeds, and understanding the dependencies and interdependencies inside of that. So if that server goes down, certainly you could by virtue say a database server going down is a SEV-1, but it may not be. If they have four database servers, they’re running in a high availability group, who cares? If one goes down, not the end of the world, go fix it tomorrow. That’s where context, that’s where understanding those dependencies is so crucial. And I mentioned at the beginning of this is how do you take that first step forward? We always take this first step forward and how I instruct MSPs is start doing things like this, take this step forward, break this down into simple programmatic approaches. And when we think about AI, it’s the exact same idea. We move steps forward, we have agentic, we have generative. Pick one, pick an area you want to focus on with your customers, understand the business outcome they’re trying to do. And if you have an inference engine, that’s going to be really crucially important here. So let’s understand that. Let’s monitor that. Let’s understand the intricacies related to how that customer is leveraging it, why it’s important. Are there latency constraints? Are there packet loss constraints? Those types of things. Let’s monitor to that and let’s understand how that happens. And if a customer has an application on the back end, you know, maybe they have New Relic or they have AppDynamics or they have some type of APM toolset, great. Let’s start bringing those into our monitoring. Let’s start bringing that intelligence in, understanding application flows, understanding dependencies, building that to be part of our story. And now we create so much more opportunity for us as an MSP driving that contribution margin northbound. Robert Dutt: So it sounds like we’re kind of defining good visibility in a modern environment and kind of setting up for looking forward as understanding what actually matters to the customer and understanding what kind of flows into it, what all results in that thing that’s important to the customer still being up, still being running, still being functional, and kind of work backwards from there as opposed to the more “this machine is working, this machine is not” kind of approach. Jeff Collins: Yep. Yeah. You want to go from tactical to transformational. That’s really the idea. Robert Dutt: And you shared kind of the idea of the first step to do towards that. I guess as you’re moving towards that first step, you know, is there any one question or kind of mindset that you find works for MSPs to have in mind or asking customers to surface those blind spots and really start to understand what that context is that they have to have? Jeff Collins: Yeah, that’s a really good question, Rob. And, you know, there’s some things that I do tell MSPs to start with before you ever ask that first question. One of them is kind of some of the simple, let’s call it research that you can do before you ever reach out to your customer. One of the easiest things you can do is start by what industry are they in. You know, in Canada, Canada has a lot of oil and gas, lots and lots of oil and gas companies exist in Canada. And so if you have an oil and gas company, we can start right off the bat with a lot of the things that oil and gas companies live and die with. And we’ll just pick on this one as an example. So oil and gas companies have SCADA networks. They have industrial IoT devices that are out there. They’re processing massive amounts of data. That data may be going into the cloud. It may be going into a data center. It may be going into some type of vault or something like that, depending on what they have. But each one of those are things that, as an MSP, you can start out before you ever ask your customer anything. You know that those are the things that exist in their environment. And you can quickly look and see, well, am I monitoring any of those? Well, no, I’m only monitoring Active Directory. Okay, Active Directory is probably important to the oil and gas company. But if it goes down, do they quit producing oil? The answer is probably no. And so if your answer is ever no, you know right off the bat that you’re not monitoring something that’s strategic to your customer. And so the first thing that you should always think about is, okay, if we have this industry, we should be monitoring the things that are strategic. Well, how do we do that? Well, we start with that one step forward. The first thing we talk to them about is just like when we went out and we sold that initial monitoring of Active Directory, they did it because they didn’t have time for it. There’s no oil and gas company on the planet that has time to be monitoring their SCADA networks. They just don’t. They may tell you that they do, but they don’t. So leverage your relationships, leverage your engagement with them and go after those pieces. Understand, you know, if they’re in AWS IoT Core, understand what that looks like. Understand who’s monitoring that. Understand how DevOps is working within that space. Maybe it’s DevSecOps inside of that environment. Understand that convergence of the teams and then start building a story around, you know, let’s take that on for you. Let’s start changing that. Let’s use the same paradigm that we’ve done, driving MTTR down, driving availability up, driving resolution times down, all those types of things. Let’s bring that into the era of SCADA networks, IoT, our core infrastructure. That’s where we start changing the value inside of our customer engagements. And that’s really where I see a huge opportunity for MSPs across Canada, where you can take that environment, you can take those opportunities you already have, and you can grow them from, you know, maybe you bill that customer $1,000 a month. You can grow it to billing them $20,000 or $30,000 a month, but it’s the most crucial $30,000 they spend. Because, you know, if that offshore environment or that, you know, oil sands environment or whatever it might be within the oil and gas space or in the energy sector, whatever it might be, those things are crucial to their business. And so the more that MSPs can kind of make that step forward, and then also start incorporating AI, every single one of those entities is incorporating AI. They’re incorporating it directly into their pipelines. They’re incorporating it directly into their data pipelines, not just the oil and gas pipelines, but each one of those, the more you can incorporate that, the more you can monitor, the more you can show value of everything that you do amazing as an MSP, that’s really where you start creating that intrinsic strategic value and you get out of that tactical approach. Robert Dutt: And the good news is for a lot of these folks in the MSP space, presumably they have some of these pieces already in place, just not necessarily connected up to the technical side, i.e. sales and marketing have been focused on a vertical. And even if they haven’t, because they have customers in this space, they’ve built some of that muscle memory, some of that knowledge of what really matters. Now it’s just a matter, hopefully, of connecting it into the services that they’re offering. Jeff Collins: Yep, totally agreed. Robert Dutt: All right. Well, it’s been a really interesting look at sort of where visibility is at. And I think a real interesting opportunity that you’ve surfaced in terms of how it can be turned into a value conversation. I appreciate your taking the time. Jeff Collins: Sounds great. Thanks so much for having me on, Rob. Robert Dutt: There you have it, my chat with Jeff Collins from WanAware. I’d like to thank Jeff for sharing his insights. The thing that stuck with me from this conversation is how much of what’s changed in the modern network hasn’t been designed in, it’s been bolted on. AI workloads, hybrid architectures, IoT, SCADA, all of it layered into environments without the kind of formal rethinking that happened when we moved to virtualization. And Jeff made a really compelling case that for MSPs, closing that visibility gap isn’t just a risk management play, it’s a revenue opportunity, and potentially a significant one, especially in verticals like energy and critical infrastructure where visibility is tied directly to uptime, safety, and compliance. We’ll be back on Monday with In Case You Missed It, your weekly news roundup. Thanks for listening. I’m Robert Dutt for ChannelBuzz.ca, and I’ll see you in the channel.

This week on ASUG Talks, we talk with PepsiCo, as the organization is set to begin leveraging SAP Business Data Cloud. Prasad Suram and Venkat Nalabothu, two of the organization's IT leaders who are involved with the implementation, join the podcast to discuss their learnings, advice, and insights. Key InsightsThe importance of SAP BDC to PepsiCo's IT goals How the organization is working to leverage the solution alongside its large SAP HANA database instance Advice for enterprises about to begin leveraging SAP BDCRelated InsightsRead ASUG's conversation with Hagen Heubach, CMO of Supply Chain at SAP, about how SAP solutions can help enterprises overcome disruptions like tariffsRegister for an ASUG Community Conversation on Feb. 24 featuring customer perspectives on ERP transformation

Survival isn't just for dystopian dramas. The best B2B marketing strategies demand experimentation, curiosity, and the ability to outlast weaker ideas.That's the lesson of Squid Game, the global phenomenon where only the strongest contestants made it through each round. In this episode, we explore its marketing parallels with the help of our special guest Scott Leatherman, Chief Marketing Officer at Aviatrix.Together, we uncover what B2B marketers can learn from gamifying campaigns to pull audiences in, running multiple “Squid Games” to see which campaigns win, and staying relentlessly curious by listening to what customers really say.About our guest, Scott LeathermanScott Leatherman is an award-winning full-stack marketing and operations executive with 25+ years of leadership and business management experience. Scott is currently the Chief Marketing Officer at Aviatrix. Prior to joining Aviatrix, he was the CMO at Veritone, an AI platform company. Scott served as COO at SAP Labs US for 5 years. Scott was a Global Vice President of Marketing and was a founding member of the SAP HANA go-to-market team that disrupted the database market and built a billion-dollar business in less than three years. Also during Scott's tenure at SAP he was part of the Strategic Account Sales Team and created new channel programs to reduce shelfware and support new solution adoption. Prior to SAP, Scott held senior marketing and business development roles at several startups.Scott was recognized by the Silicon Valley Business Journal for his lifelong commitment to helping his local community with the 2018 Individual Community Champion Award. Both at work and in his personal life, Scott is focused on helping communities reduce food insecurities, supporting underserved children, funding cancer research and Native American educational programs.What B2B Companies Can Learn From Squid Game:Gamify campaigns to move your audience. Marketing works best when it pulls people in emotionally, just like Squid Game. Scott explains, “Anytime you want to move an audience together, gamifying it so that they have an emotional pull on the winner is gonna make you successful.” By creating campaigns that feel participatory, competitive, or playful, brands can inspire curiosity and investment from their audience. It's not just messaging—it's making people feel like they have a stake in the outcome.Run “Squid Games” for your campaigns. Rather than guessing which message will resonate, Scott's team tested multiple campaign “games” at once. “We invested over 500 engagements…we had 74 one-on-one engagements…to narrow it down to what we have as eight campaigns in the Squid Games.” Each campaign has a top, middle, and bottom funnel component, and their performance is tracked side by side. Scott explains, “The gamification of Squid Games is working in our B2B marketing approach…we rolled it out to the company as Squid Games…and it's been really fun to have engineers across the world leaning in on what they think is gonna move the audience fastest.” The lesson: treat campaigns like contestants. Test widely, kill off the weak performers quickly, and double down on what wins.Stay curious and listen to your audience. One of Scott's biggest lessons is that marketers often assume they know what works—but data and customer feedback may prove otherwise. He notes, “It really comes back to just what are your customers saying about you? And what are your prospects saying about you?…That listening exercise, while it sounds remedial and 101, it gets lost on a lot of us ‘cause we're all running so fast.” Just like in Squid Game, survival depends on paying close attention and adapting quickly. In B2B marketing, curiosity and active listening turn campaigns into insights, and insights into growth.Quote“The gamification of Squid Games is working in our B2B marketing approach…we rolled it out to the company as Squid Games…and it's been really fun to have engineers across the world leaning in on what they think is gonna move the audience fastest.”Time Stamps[00:55] Meet Scott Leatherman, Chief Marketing Officer at Aviatrix[01:32] Why Squid Game?[03:08] Behind-the-Scenes of Squid Game[14:18] AI in Marketing[17:33] B2B Marketing Takeaways from Squid Game[42:39] AI Integration and Brand Evolution[46:46] Final Thoughts and TakeawaysLinksConnect with Scott on LinkedInLearn more about AviatrixAbout Remarkable!Remarkable! is created by the team at Caspian Studios, the premier B2B Podcast-as-a-Service company. Caspian creates both nonfiction and fiction series for B2B companies. If you want a fiction series check out our new offering - The Business Thriller - Hollywood style storytelling for B2B. Learn more at CaspianStudios.com. In today's episode, you heard from Ian Faison (CEO of Caspian Studios) and Meredith Gooderham (Head of Production). Remarkable was produced this week by Jess Avellino, mixed by Scott Goodrich, and our theme song is “Solomon” by FALAK. Create something remarkable. Rise above the noise. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of Future Finance, Hosts Glenn Hopper and Paul Barnhurst sit down with Franz Faerber, Co-founder and CTO of Everest Systems, and one of the key minds behind SAP HANA. Franz shares his remarkable journey from leading SAP's real-time database revolution to building Everest, a next-generation ERP platform designed from the ground up to embrace AI and modern business needs. Franz Faerber is the Co-founder and CTO of Everest Systems, a next-gen AI-native ERP company. Before Everest, Franz spent over 26 years at SAP, where he served as Executive VP of Technology and was the original architect behind SAP HANA, one of the most advanced in-memory databases in the world. His work helped transform data processing and analytics for thousands of global enterprises. Now, at Everest, he is on a mission to revolutionize ERP from the ground up, embracing AI and agile development to tackle the inefficiencies of traditional systems.In this episode, you will discover:Why the ERP space is finally ready for disruption, and how Everest is leading that charge.How Everest built a fully functional inventory management system in just four months without writing a single line of code.The role of AI in accelerating ERP development, reducing costs, and enabling mass personalization.Why Franz believes the future of ERP lies in integration, automation, and adaptability.Franz Faerber's insights offer a compelling vision for the future of ERP, one where AI, speed, and simplicity are no longer optional but essential. His journey from SAP HANA to Everest showcases what's possible when innovation meets experience. Follow Franz:LinkedIn - https://www.linkedin.com/in/franz-faerber/Company - https://everest-systems.comJoin hosts Glenn and Paul as they unravel the complexities of AI in finance:Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn - https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[02:18] - Meet Franz Faerber[03:53] - The SAP HANA Revolution[09:00] - Leaving SAP for Everest[10:39] - Why Build a New ERP?[18:36] - Dev & Release Cycles at Everest[21:20] - What Sets Everest Apart[25:48] - Leadership & Vision[29:32] - Chess, Books & Strategy[33:20] - Final Thoughts

Organizations have contended with several "black swan" events in recent years, severely interrupting global supply chains, including the COVID-19 pandemic, global conflicts, trade route disruptions, and now the specter of tariffs. These events have put massive strain on supply chains, increasing prices. Recently at SAP Sapphire & ASUG Annual Conference, SAP used the example of tariffs as a way to demonstrate how its integrated business suite can help customers contend with business disruptions. This week on ASUG Talks, we dive deep into this topic, examining the role SAP solutions can play as enterprises seeks to bolster their supply chains, and prepare for the next inevitable disruption. Two supply chain experts--John Buckley, Consumer Product Industry Advisor at SAP; and  Ron Gilson, Executive Advisor and Principal of Consumer Products and Agribusiness at NTT DATA--join the podcast to cover the ways supply chains have changed, and how listeners can take steps to improve them.  Key Insights How organizations can (and should) respond to supply chain disruptionsSAP's approach to developing solutions meeting its customers supply chain needsThe importance of integrated business planning as a process Related InsightsRead how Brent Potts, Senior Director of Global Marketing for Oil, Gas, and Energy at SAP, is seeing the industry change to embrace energy diversification. Join ASUG on Aug. 28 for a customer influence opportunity focused on data privacy in the SAP HANA database

Recently Broadcom announced that vSAN ESA support for SAP HANA was introduced. Erik Rieger is Broadcom's Principal SAP Global Technical Alliance Manager and Architect, and as such I invited him on the show to go over what this actually means, and why this is important for customers!For more details make sure to check:SAP note 3406060 – SAP HANA on VMware vSphere 8 and vSAN 8 for details.SAP HANA and VMware support pagesSAP HANA on HCI powered by vSANvSphere and SAP HANA best practicesDisclaimer: The thoughts and opinions shared in this podcast are our own/guest(s), and not necessarily those of Broadcom, VMware by Broadcom, or SAP.

In this new episode Niklas Siemer, Product Specialist for SAP Business Technology Platform, is talking to Shabana Samsudheen, Senior Product Manager for SAP HANA Cloud. We're making a deep dive into the new Knowledge Graph engine of SAP HANA Cloud. Talking about what graphs are and what they're used for. Typical uses cases of graphs and how to use them in SAP HANA Cloud.

In this episode of Inside SAP S/4HANA Cloud, Fernanda Rodrigues discusses the critical importance of regular upgrades for SAP S/4HANA Cloud Private Edition. Joined by SAP experts Franziska Rup and Jens Fieger, they dive into SAP's release strategy and provide insights on integrating updates as part of your IT strategy. Learn how to leverage new innovations and reduce business downtimes through best practices and strategic planning. Whether it's improving security, operational efficiency, or keeping your systems agile, find out how regular upgrades can drive business success. What topic would you like us to discuss next? Send an email to insides4@sap.com

This episode covers SAUGx, SAP BTP ABAP Environment - 2411, SAP BTP Innobytes, SAP HANA 2.0 SPS 08

In episode 215 of our SAP on Azure video podcast we talk about Azure NetApp Files. WIth the new Extension 1, ANF supports availability zone volume placement as the new default method for placement. This upgrade mitigates the need for AVset pinning and eliminates the need for proximity placement groups. Using availability zone volume placement aligns with the Microsoft recommendation on how to deploy SAP HANA infrastructures to achieve best performance with high-availability, maximum flexibility, and simplified deployment. To tell us more about this, we are happy to welcome Ralf Klahr, Geert van Teylingen and Bernd Herth to our show. Find all the links mentioned here: https://www.saponazurepodcast.de/episode215Reach out to us for any feedback / questions:* Robert Boban: https://www.linkedin.com/in/rboban/* Goran Condric: https://www.linkedin.com/in/gorancondric/* Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #ANF

Host Steven Dickens chats with FalconStor's VP of Engineering, Ron Morita and VP of Customer Success, Abdul Hashmi for Six Five Media In the Booth at IBM TechXchange. They discuss solutions for modernizing and optimizing IBM Power environments using FalconStor's StorSafe for data protection and cloud migration, and secure backup storage. Check out the full interview to learn more about the following:

In episode 210 of our SAP on Azure video podcast we talk about 32 TB Virtual machines on Azure!Recently we talked about the release of virtual machines with 32 TB of memory on Azure. This allows you to run the most high demanding SAP workload on Azure. With some innovations it takes some time to be adopoted, but apparently with the 32 TB system, that was not the case. I am really happy to have a team with us today that worked on customer projects already using these 32 TB VMs. Abbas, Ralf, Momin and Chris. Find all the links mentioned here: https://www.saponazurepodcast.de/episode210Reach out to us for any feedback / questions:* Robert Boban: https://www.linkedin.com/in/rboban/* Goran Condric: https://www.linkedin.com/in/gorancondric/* Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #SAPHANA #VirtualMachines

В новом выпуске подкаста “AWS на русском” мы с Михаилом обсудим последние новости и обновления из мира AWS. Поделимся впечатлениями от недавних поездок и мероприятий, а также поговорим о новых функциях и сервисах, которые помогут вам в работе. Что обсудили в выпуске: Amazon WorkSpaces Pools: Эффективное решение для виртуальных рабочих столов. Мы обсудим не только эту функцию, но и общий подход к удаленной разработке, включая VDI и CodeCatalyst с девелопмент-энвайронментами. Amazon CodeCatalyst: Теперь поддерживает репозитории GitLab и Bitbucket, с кастомными блюпринтами и функцией Amazon Q для разработки Anthropic's Claude 3.5 Sonnet модель в Amazon Bedrock: Ещё больше интеллекта по более низкой стоимости. Общий обзор моделей Claude 3, а также других крутых моделей, таких как Mistral и Llama 3 от Meta. Обсуждение новых функций, перешедших в GA, таких как Guardrails, Agents и Model Evaluation. AWS слушает своих клиентов: Обновление Amazon S3 - теперь нет платы за запросы с HTTP-кодами ошибок Одной строкой: Безопасность: Amazon GuardDuty Malware Protection для Amazon S3. Безопасность: Обновление IAM Access Analyzer - расширение проверок пользовательских политик и управляемое отзывавание. Безопасность: AWS добавляет поддержку passkey для многофакторной аутентификации (MFA) для рутовых и IAM пользователей. EC2: Новые БОЛЬШИЕ инстансы Amazon EC2 U7i для больших баз данных в памяти, сертифицированы для SAP HANA. Сертификации: Две новые сертификации AWS - AWS Certified AI Practitioner и AWS Certified Machine Learning Engineer – Associate. Присоединяйтесь, чтобы быть в курсе всех последних обновлений.

What is the similarity between SAP, HANA and the Titanic? An SAP CodeJam, hosted at the office of ITrainee, where we could work with #SAPHANA, Machine Learning, Python, Panda and EDA (which stands for ... :-) A recap with host Vitaliy Rudnytskiy and participant Rakesh Jain. Difference between AI and Machine Learning New job titles 'AI engineer' Remove the hype before you start It is all about the business case New way to interact with your ERP system SAP Developer Challenge 'SAP HANA Multimodel using Python in BAS'

In episode 197 of our SAP on Azure video podcast we talk about how to improve storage throughput. In our last episode we quickly mentioned how features and capabilities are constantly added to services in the cloud. We talked about this in the context of the Azure Monitor for SAP solutions, but obviously these enhancements and optimizations are also happening on a lower level. Especially in SAP Hana installations, I/O throughput is super critical. In the past SCSI was used to connect your disks to the VM. Now we can leverage NVMe (non-volatile memory express) using Azure Boost. To tell us more about this and actually show how to convert from SCSI to NVMe, I am glad to have Philipp Leitenbauer with us today. Find all the links mentioned here: https://www.saponazurepodcast.de/episode197 Reach out to us for any feedback / questions: * Robert Boban: https://www.linkedin.com/in/rboban/ * Goran Condric: https://www.linkedin.com/in/gorancondric/ * Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #Infrastructure #Performance

In this new episode Niklas Siemer, Product Specialist for SAP Business Technology Platform, is talking to Thomas Hammer, Lead Product Manager for SAP HANA Cloud. Together they will dive into SAP's database as a service offering SAP HANA Cloud and focus on its new capability, the vector engine. You will get an understanding of what the new engine is, why it is important, use-cases and more.

In this new episode Niklas Siemer, Product Specialist for SAP Business Technology Platform, is talking to Thomas Hammer, Lead Product Manager for SAP HANA Cloud. Together they will dive into SAP's database as a service offering SAP HANA Cloud and focus on its new capability, the vector engine. You will get an understanding of what the new engine is, why it is important, use-cases and more.

Summary A significant portion of data workflows involve storing and processing information in database engines. Validating that the information is stored and processed correctly can be complex and time-consuming, especially when the source and destination speak different dialects of SQL. In this episode Gleb Mezhanskiy, founder and CEO of Datafold, discusses the different error conditions and solutions that you need to know about to ensure the accuracy of your data. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. It is an open-source, cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. Your team can get up and running in minutes thanks to Dagster Cloud, an enterprise-class hosted solution that offers serverless and hybrid deployments, enhanced security, and on-demand ephemeral test deployments. Go to dataengineeringpodcast.com/dagster (https://www.dataengineeringpodcast.com/dagster) today to get started. Your first 30 days are free! Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics. Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst (https://www.dataengineeringpodcast.com/starburst) and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Join us at the top event for the global data community, Data Council Austin. From March 26-28th 2024, we'll play host to hundreds of attendees, 100 top speakers and dozens of startups that are advancing data science, engineering and AI. Data Council attendees are amazing founders, data scientists, lead engineers, CTOs, heads of data, investors and community organizers who are all working together to build the future of data and sharing their insights and learnings through deeply technical talks. As a listener to the Data Engineering Podcast you can get a special discount off regular priced and late bird tickets by using the promo code dataengpod20. Don't miss out on our only event this year! Visit dataengineeringpodcast.com/data-council (https://www.dataengineeringpodcast.com/data-council) and use code dataengpod20 to register today! Your host is Tobias Macey and today I'm welcoming back Gleb Mezhanskiy to talk about how to reconcile data in database environments Interview Introduction How did you get involved in the area of data management? Can you start by outlining some of the situations where reconciling data between databases is needed? What are examples of the error conditions that you are likely to run into when duplicating information between database engines? When these errors do occur, what are some of the problems that they can cause? When teams are replicating data between database engines, what are some of the common patterns for managing those flows? How does that change between continual and one-time replication? What are some of the steps involved in verifying the integrity of data replication between database engines? If the source or destination isn't a traditional database engine (e.g. data lakehouse) how does that change the work involved in verifying the success of the replication? What are the challenges of validating and reconciling data? Sheer scale and cost of pulling data out, have to do in-place Performance. Pushing databases to the limit, especially hard for OLTP and legacy Cross-database compatibilty Data types What are the most interesting, innovative, or unexpected ways that you have seen Datafold/data-diff used in the context of cross-database validation? What are the most interesting, unexpected, or challenging lessons that you have learned while working on Datafold? When is Datafold/data-diff the wrong choice? What do you have planned for the future of Datafold? Contact Info LinkedIn (https://www.linkedin.com/in/glebmezh/) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. Links Datafold (https://www.datafold.com/) Podcast Episode (https://www.dataengineeringpodcast.com/datafold-proactive-data-quality-episode-205/) data-diff (https://github.com/datafold/data-diff) Podcast Episode (https://www.dataengineeringpodcast.com/data-diff-open-source-data-integration-validation-episode-303) Hive (https://hive.apache.org/) Presto (https://prestodb.io/) Spark (https://spark.apache.org/) SAP HANA (https://en.wikipedia.org/wiki/SAP_HANA) Change Data Capture (https://en.wikipedia.org/wiki/Change_data_capture) Nessie (https://projectnessie.org/) Podcast Episode (https://www.dataengineeringpodcast.com/nessie-data-lakehouse-data-versioning-episode-416) LakeFS (https://lakefs.io/) Podcast Episode (https://www.dataengineeringpodcast.com/lakefs-data-lake-versioning-episode-157) Iceberg Tables (https://iceberg.apache.org/) Podcast Episode (https://www.dataengineeringpodcast.com/iceberg-with-ryan-blue-episode-52/) SQLGlot (https://github.com/tobymao/sqlglot) Trino (https://trino.io/) GitHub Copilot (https://github.com/features/copilot) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

A Tech Thoughtleader's Multi-Potent Identity | Hemanth Volikatla | #TGV410Tune into #TGV410 to get clarity on the above topic. Here are the pointers from Hemanth's conversation with Naveen Samala on The Guiding VoiceFirst rapid fire/Introduction and context settingToughest lessons learned in Hemanth's Professional journeyWhat did he learn from his favorite failure(s)?His Family background, about his dad and his influence on Hemanth's careerHow did he manage to become an expert in a gamut of technologies?Learning from major clientsHow does he keep himself up to date?Forgoing a million-dollar contract Best accomplishment amongst many awards he receivedWITTY ANSWERS TO THE RAPID-FIRE QUESTIONSONE PIECE OF advice for individuals aspiring to dream and become BIGABOUT THE GUEST:From a software engineer to a software architect in SAP, Microsoft, Java, and sizing, configuring various infrastructure environments for SAP applications for different customers for their requirements and his expertise spans various database environments including the latest SAP HANA. Currently focused on customer technical advisory, his team navigates the complexities of modern cloud environments like Azure, AWS, and Google Cloud Platform. As an entrepreneur and mentor, Hemanth has played a pivotal role in planning careers and leading practices in SAP and other technologies for corporates and engineers. Connect with Hemanth on LinkedIn:https://www.linkedin.com/in/hemanth-volikatla-05173625/Connect with the Host on LinkedIn: Naveen Samala: LinkedIn | Personal WebsiteSupport Our Mission: To contribute to our mission, consider making a donation (any amount of your choice) via PayPal: Donate HereExplore Productivity: Become a productivity monk by enrolling in this course: Productivity Monk CourseDiscover "TGV Inspiring Lives" on Amazon: Volume 1 available on Kindle and Paperback:KindlePaperbackConnect in Your Preferred Language: #TGV is available in Hindi & Telugu on YouTube:HindiTeluguAudio Podcast: Listen to #TGV on Spotify:HindiTeluguFollow on Twitter:@GuidingVoice@NaveenSamala Hosted on Acast. See acast.com/privacy for more information.

In episode 166 of our SAP on Azure video podcast we go deep on Premium v2 storage with Peter Kalan and Anbu Govindasamy. We look at the different storage options for SAP on Azure, show some performance comparisions, dynamic tiering and snappshotting. Then also talk about how to migrate to premium v2. Find all the links mentioned here: https://www.saponazurepodcast.de/episode166 Reach out to us for any feedback / questions: * Robert Boban: https://www.linkedin.com/in/rboban/ * Goran Condric: https://www.linkedin.com/in/gorancondric/ * Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure ## Summary created by AI * Features and benefits of premium SSD V2: Premium SSD V2 is a new version of Azure storage that offers sub-millisecond latency, customizable size and performance, and lower cost than premium SSD V1. It can support large database workloads such as SAP HANA, Oracle, and DB2. * How to use premium SSD V2 for SAP HANA: Premium SSD V2 does not require write accelerator for SAP HANA log, and can use different VM sizes than M series. It also allows changing the IOPS and throughput of the disks on the fly without downtime. It is certified by SAP and has best practice guidelines for optimal configuration. * Demo of premium SSD V2: The document shows a demo of how to create and configure premium SSD V2 disks, how to check the sector size and latency, how to increase the throughput dynamically, and how to take snapshots and create new disks from them. * Comparison of premium SSD V2 and V1: The document compares the price and performance of premium SSD V2 and V1, and shows that V2 is cheaper and faster than V1. It also explains how to optimize the disk size and number to get the best performance for the same price.

In episode 165 of our SAP on Azure video podcast we talk about SAP HANA on Azure Large Instances will be retired by 30 June 2025 and the transition to Virtual Machines, Configuring Azure NetApp Files (ANF) Application Volume Group (AVG) for zonal SAP HANA deployment, Changes to the Azure reservation exchange policy, a look back at the ABAP Story, A Cool use of Open AI in Eclipse, Microsoft Business Applications Launch Event introduces wave of new AI-powered capabilities for Dynamics 365 and Power Platform and Azure OpenAI powered SAP Self-Services. Then we take a closer look at SDAF, or the SAP Deployment Automation Framework, which started as nice tool to simplify the deployment of SAP systems in a consistent and repeatable way. In the meantime SDAF has grown into a huge project, is leveraged by the Azure Center for SAP Solution and actually by lots of partners and customers. Kimmo Forss and Hemanth Damecharla show us the latest features, like the Configuration Editor and the integration in Azure DevOps Find all the links mentioned here: https://www.saponazurepodcast.de/episode165 Reach out to us for any feedback / questions: * Robert Boban: https://www.linkedin.com/in/rboban/ * Goran Condric: https://www.linkedin.com/in/gorancondric/ * Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #SDAF #Infrastructure ## Summary created by AI Key Topics: * News from the weekend: The team shared some news about Azure VMs, reserved instances, exchange policy, and SAP on Azure video podcast. * Introduction of Kimmo and Hemanth: Kimmo and Hemanth are part of the SAP on Azure development team based in Helsinki, Finland, working on the SAP Deployment Automation Framework. * Overview of SAP Deployment Automation Framework: The framework is an open source tool that helps customers deploy and configure SAP systems on Azure using Terraform and Ansible, with a modular and extensible design. * New features and demos of the framework: The team showed some new features and demos of the framework, such as the configuration editor, the application service, the private DNS, the application manifest, and the software download. * Questions and feedback: The team answered some questions and feedback from the audience, such as the support for different SAP versions and platforms, the open source contribution model, the validation and testing process, and the deployment time and complexity.

In this episode of the SAP Learning Insights podcast, David Chaviano interviews Lars Satow about SAP skills and how to pursue them. Lars, a member of the SAP Skills Transformation Program, discusses the importance of skills in today's job market and the difficulties companies face in finding workers with the right skills. He highlights the need for a unified language for SAP-related skills and the efforts being made to standardize and catalog these skills. Lars also mentions that SAP offers free learning journeys and other learning assets on learning.sap.com, to support skill development for everyone. And of course, at the end of this episode, Lars shares his final words of wisdom with you.

In episode 156 of our SAP on Azure video podcast we talk about SAP on Azure NetApp Files Sizing Best Practices, SAP HANA Azure virtual machine storage configurations, NFS v4.1 volumes on Azure NetApp Files for SAP HANA, Announcing public preview of new Mv3 Medium Memory Virtual Machines, the SAP CDC Connector on Azure and Part 2 of the SAP S/4HANA Cloud ABAP Environment integration journey with Microsoft blog post, this time about Azure OpenAI & AI SDK for ABAP. Then we take a closer look at the Microsoft AI SDK for ABAP. A few months ago, we talked about a revolutionary new SDK in our news of the week section: the AI SDK for ABAP. This SDK empowers ABAP developers to consume Azure OpenAI services without leaving their ABAP code or having to know the intricate details of Azure OpenAI. I had the opportunity to present and demo the SDK with the German Speaking SAP User Group a few months back, which led to some exciting discussions with customers and actual follow-up projects. Today, we are thrilled to have the brain behind the AI SDK for ABAP with us: Gopal Nair, a Principal Software Engineer at Microsoft. We're really looking forward to Gopal introducing the topic and sharing some examples with us. In fact, he has so many examples that we're planning to do a few follow-up sessions with him, so stay tuned! (this intro was written by Azure OpenAI) Find all the links mentioned here: https://www.saponazurepodcast.de/episode156 Reach out to us for any feedback / questions: * Robert Boban: https://www.linkedin.com/in/rboban/ * Goran Condric: https://www.linkedin.com/in/gorancondric/ * Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #AzureOpenAI #OpenAI #ABAP #abapGit

Matthew Prince, Co-founder & CEO at Cloudflare, joins Corey on Screaming in the Cloud to discuss how and why Cloudflare is working to solve some of the Internet's biggest problems. Matthew reveals some of his biggest issues with cloud providers, including the tendency to charge more for egress than ingress and the fact that the various clouds don't compete on a feature vs. feature basis. Corey and Matthew also discuss how Cloudflare is working to change those issues so the Internet is a better and more secure place. Matthew also discusses how transparency has been key to winning trust in the community and among Cloudflare's customers, and how he hopes the Internet and cloud providers will evolve over time.About MatthewMatthew Prince is co-founder and CEO of Cloudflare. Cloudflare's mission is to help build a better Internet. Today the company runs one of the world's largest networks, which spans more than 200 cities in over 100 countries. Matthew is a World Economic Forum Technology Pioneer, a member of the Council on Foreign Relations, winner of the 2011 Tech Fellow Award, and serves on the Board of Advisors for the Center for Information Technology and Privacy Law. Matthew holds an MBA from Harvard Business School where he was a George F. Baker Scholar and awarded the Dubilier Prize for Entrepreneurship. He is a member of the Illinois Bar, and earned his J.D. from the University of Chicago and B.A. in English Literature and Computer Science from Trinity College. He's also the co-creator of Project Honey Pot, the largest community of webmasters tracking online fraud and abuse.Links Referenced: Cloudflare: https://www.cloudflare.com/ Twitter: https://twitter.com/eastdakota TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. One of the things we talk about here, an awful lot is cloud providers. There sure are a lot of them, and there's the usual suspects that you would tend to expect with to come up, and there are companies that work within their ecosystem. And then there are the enigmas.Today, I'm talking to returning guest Matthew Prince, Cloudflare CEO and co-founder, who… well first, welcome back, Matthew. I appreciate your taking the time to come and suffer the slings and arrows a second time.Matthew: Corey, thanks for having me.Corey: What I'm trying to do at the moment is figure out where Cloudflare lives in the context of the broad ecosystem because you folks have released an awful lot. You had this vaporware-style announcement of R2, which was an S3 competitor, that then turned out to be real. And oh, it's always interesting, when vapor congeals into something that actually exists. Cloudflare Workers have been around for a while and I find that they become more capable every time I turn around. You have Cloudflare Tunnel which, to my understanding, is effectively a VPN without the VPN overhead. And it feels that you are coming at building a cloud provider almost from the other side than the traditional cloud provider path. Is it accurate? Am I missing something obvious? How do you see yourselves?Matthew: Hey, you know, I think that, you know, you can often tell a lot about a company by what they measure and what they measure themselves by. And so, if you're at a traditional, you know, hyperscale public cloud, an AWS or a Microsoft Azure or a Google Cloud, the key KPI that they focus on is how much of a customer's data are they hoarding, effectively? They're all hoarding clouds, fundamentally. Whereas at Cloudflare, we focus on something of it's very different, which is, how effectively are we moving a customer's data from one place to another? And so, while the traditional hyperscale public clouds are all focused on keeping your data and making sure that they have as much of it, what we're really focused on is how do we make sure your data is wherever you need it to be and how do we connect all of the various things together?So, I think it's exactly right, where we start with a network and are kind of building more functions on top of that network, whereas other companies start really with a database—the traditional hyperscale public clouds—and the network is sort of an afterthought on top of it, just you know, a cost center on what they're delivering. And I think that describes a lot of the difference between us and everyone else. And so oftentimes, we work very much in conjunction with. A lot of our customers use hyperscale public clouds and Cloudflare, but increasingly, there are certain applications, there's certain data that just makes sense to live inside the network itself, and in those cases, customers are using things like R2, they're using our Workers platform in order to be able to build applications that will be available everywhere around the world and incredibly performant. And I think that is fundamentally the difference. We're all about moving data between places, making sure it's available everywhere, whereas the traditional hyperscale public clouds are all about hoarding that data in one place.Corey: I want to clarify that when you say hoard, I think of this, from my position as a cloud economist, as effectively in an economic story where hoarding the data, they get to charge you for hosting it, they get to charge you serious prices for egress. I've had people mishear that before in a variety of ways, usually distilled down to, “Oh, and their data mining all of their customers' data.” And I want to make sure that that's not the direction that you intend the term to be used. If it is, then great, we can talk about that, too. I just want to make sure that I don't get letters because God forbid we get letters for things that we say in the public.Matthew: No, I mean, I had an aunt who was a hoarder and she collected every piece of everything and stored it somewhere in her tiny little apartment in the panhandle of Florida. I don't think she looked at any of it and for the most part, I don't think that AWS or Google or Microsoft are really using your data in any way that's nefarious, but they're definitely not going to make it easy for you to get it out of those places; they're going to make it very, very expensive. And again, what they're measuring is how much of a customer's data are they holding onto whereas at Cloudflare we're measuring how much can we enable you to move your data around and connected wherever you need it. And again, I think that that kind of gets to the fundamental difference between how we think of the world and how I think the hyperscale public clouds thing of the world. And it also gets to where are the places where it makes sense to use Cloudflare, and where are the places that it makes sense to use an AWS or Google Cloud or Microsoft Azure.Corey: So, I have to ask, and this gets into the origin story trope a bit, but what radicalized you? For me, it was the realization one day that I could download two terabytes of data from S3 once, and it would cost significantly more than having Amazon.com ship me a two-terabyte hard drive from their store.Matthew: I think that—so Cloudflare started with the basic idea that the internet's not as good as it should be. If we all knew what the internet was going to be used for and what we're all going to depend on it for, we would have made very different decisions in how it was designed. And we would have made sure that security was built in from day one, we would have—you know, the internet is very reliable and available, but there are now airplanes that can't land if the internet goes offline, they are shopping transactions shut down if the internet goes offline. And so, I don't think we understood—we made it available to some extent, but not nearly to the level that we all now depend on it. And it wasn't as fast or as efficient as it possibly could be. It's still very dependent on the geography of where data is located.And so, Cloudflare started out by saying, “Can we fix that? Can we go back and effectively patch the internet and make it what it should have been when we set down the original protocols in the '60s, '70s, and '80s?” But can we go back and say, can we build a new, sort of, overlay on the internet that solves those problems: make it more secure, make it more reliable, make it faster and more efficient? And so, I think that that's where we started, and as a result of, again, starting from that place, it just made fundamental sense that our job was, how do you move data from one place to another and do it in all of those ways? And so, where I think that, again, the hyperscale public clouds measure themselves by how much of a customer's data are they hoarding; we measure ourselves by how easy are we making it to securely, reliably, and efficiently move any piece of data from one place to another.And so, I guess, that is radical compared to some of the business models of the traditional cloud providers, but it just seems like what the internet should be. And that's our North Star and that's what just continues to drive us and I think is a big reason why more and more customers continue to rely on Cloudflare.Corey: The thing that irks me potentially the most in the entire broad strokes of cloud is how the actions of the existing hyperscalers have reflected mostly what's going on in the larger world. Moore's law has been going on for something like 100 years now. And compute continues to get faster all the time. Storage continues to cost less year over year in a variety of ways. But they have, on some level, tricked an entire generation of businesses into believing that network bandwidth is this precious, very finite thing, and of course, it's going to be ridiculously expensive. You know, unless you're taking it inbound, in which case, oh, by all means back the truck around. It'll be great.So, I've talked to founders—or prospective founders—who had ideas but were firmly convinced that there was no economical way to build it. Because oh, if I were to start doing real-time video stuff, well, great, let's do the numbers on this. And hey, that'll be $50,000 a minute, if I read the pricing page correctly, it's like, well, you could get some discounts if you ask nicely, but it doesn't occur to them that they could wind up asking for a 98% discount on these things. Everything is measured in a per gigabyte dimension and that just becomes one of those things where people are starting to think about and meter something that—from my days in data centers where you care about the size of the pipe and not what's passing through it—to be the wrong way of thinking about things.Matthew: A little of this is that everybody is colored by their experience of dealing with their ISP at home. And in the United States, in a lot of the world, ISPs are built on the old cable infrastructure. And if you think about the cable infrastructure, when it was originally laid down, it was all one-directional. So, you know, if you were turning on cable in your house in a pre-internet world, data fl—Corey: Oh, you'd watch a show and your feedback was yelling at the TV, and that's okay. They would drop those packets.Matthew: And there was a tiny, tiny, tiny bit of data that would go back the other direction, but cable was one-directional. And so, it actually took an enormous amount of engineering to make cable bi-directional. And that's the reason why if you're using a traditional cable company as your ISP, typically you will have a large amount of download capacity, you'll have, you know, a 100 megabits of down capacity, but you might only have a 10th of that—so maybe ten megabits—of upload capacity. That is an artifact of the cable system. That is not just the natural way that the internet works.And the way that it is different, that wholesale bandwidth works, is that when you sign up for wholesale bandwidth—again, as you phrase it, you're not buying this many bytes that flows over the line; you're buying, effectively, a pipe. You know, the late Senator Ted Stevens said that the internet is just a series of tubes and got mocked mercilessly, but the internet is just a series of tubes. And when Cloudflare or AWS or Google or Microsoft buys one of those tubes, what they pay for is the diameter of the tube, the amount that can fit through it. And the nature of this is you don't just get one tube, you get two. One that is down and one that is up. And they're the same size.And so, if you've got a terabit of traffic coming down and zero going up, that costs exactly the same as a terabit going up and zero going down, which costs exactly the same as a terabit going down and a terabit going up. It is different than your home, you know, cable internet connection. And that's the thing that I think a lot of people don't understand. And so, as you pointed out, but the great tragedy of the cloud is that for nothing other than business reasons, these hyperscale public cloud companies don't charge you anything to accept data—even though that is actually the more expensive of the two operations for that because writes are more expensive than reads—but the inherent fact that they were able to suck the data in means that they have the capacity, at no additional cost, to be able to send that data back out. And so, I think that, you know, the good news is that you're starting to see some providers—so Cloudflare, we've never charged for egress because, again, we think that over time, bandwidth prices go to zero because it just makes sense; it makes sense for ISPs, it makes sense for connectiv—to be connected to us.And that's something that we can do, but even in the cases of the cloud providers where maybe they're all in one place and somebody has to pay to backhaul the traffic around the world, maybe there's some cost, but you're starting to see some pressure from some of the more forward-leaning providers. So Oracle, I think has done a good job of leaning in and showing how egress fees are just out of control. But it's crazy that in some cases, you have a 4,000x markup on AWS bandwidth fees. And that's assuming that they're paying the same rates as what we would get at Cloudflare, you know, even though we are a much smaller company than they are, and they should be able to get even better prices.Corey: Yes, if there's one thing Amazon is known for, it as being bad at negotiating. Yeah, sure it is. I'm sure that they're just a terrific joy to be a vendor to.Matthew: Yeah, and I think that fundamentally what the price of bandwidth is, is tied very closely to what the cost of a port on a router costs. And what we've seen over the course of the last ten years is that cost has just gone enormously down where the capacity of that port has gone way up and the just physical cost, the depreciated cost that port has gone down. And yet, when you look at Amazon, you just haven't seen a decrease in the cost of bandwidth that they're passing on to customers. And so, again, I think that this is one of the places where you're starting to see regulators pay attention, we've seen efforts in the EU to say whatever you charge to take data out is the same as what you should charge it to put data in. We're seeing the FTC start to look at this, and we're seeing customers that are saying that this is a purely anti-competitive action.And, you know, I think what would be the best and healthiest thing for the cloud by far is if we made it easy to move between various cloud providers. Because right now the choice is, do I use AWS or Google or Microsoft, whereas what I think any company out there really wants to be able to do is they want to be able to say, “I want to use this feature at AWS because they're really good at that and I want to use this other feature at Google because they're really good at that, and I want to us this other feature at Microsoft, and I want to mix and match between those various things.” And I think that if you actually got cloud providers to start competing on features as opposed to competing on their overall platform, we'd actually have a much richer and more robust cloud environment, where you'd see a significantly improved amount of what's going on, as opposed to what we have now, which is AWS being mediocre at everything.Corey: I think that there's also a story where for me, the egress is annoying, but so is the cross-region and so is the cross-AZ, which in many cases costs exactly the same. And that frustrates me from the perspective of, yes, if you have two data centers ten miles apart, there is some startup costs to you in running fiber between them, however you want to wind up with that working, but it's a sunk cost. But at the end of that, though, when you wind up continuing to charge on a per gigabyte basis to customers on that, you're making them decide on a very explicit trade-off of, do I care more about cost or do I care more about reliability? And it's always going to be an investment decision between those two things, but when you make the reasonable approach of well, okay, an availability zone rarely goes down, and then it does, you get castigated by everyone for, “Oh it even says in their best practice documents to go ahead and build it this way.” It's funny how a lot of the best practice documents wind up suggesting things that accrue primarily to a cloud provider's benefit. But that's the way of the world I suppose.I just know, there's a lot of customer frustration on it and in my client environments, it doesn't seem to be very acute until we tear apart a bill and look at where they're spending money, and on what, at which point, the dawning realization, you can watch it happen, where they suddenly realize exactly where their money is going—because it's relatively impenetrable without that—and then they get angry. And I feel like if people don't know what they're being charged for, on some level, you've messed up.Matthew: Yeah. So, there's cost to running a network, but there's no reason other than limiting competition why you would charge more to take data out than you would put data in. And that's a puzzle. The cross-region thing, you know, I think where we're seeing a lot of that is actually oftentimes, when you've got new technologies that come out and they need to take advantage of some scarce resource. And so, AI—and all the AI companies are a classic example of this—right now, if you're trying to build a model, an AI model, you are hunting the world for available GPUs at a reasonable price because there's an enormous scarcity of them.And so, you need to move from AWS East to AWS West, to AWS, you know, Singapore, to AWS in Luxembourg and bounce around to find wherever there's GPU availability. And then that is crossed against the fact that these training datasets are huge. You know, I mean, they're just massive, massive, massive amounts of data. And so, what that is doing is you're having these AI companies that are really seeing this get hit in the face, where they literally can't get the capacity they need because of the fact that whatever cloud provider in whatever region they've selected to store their data isn't able to have that capacity. And so, they're getting hit not only by sort of a double whammy of, “I need to move my data to wherever there's capacity. And if I don't do that, then I have to pay some premium, an ever-escalating price for the underlying GPUs.” And God forbid, you have to move from AWS to Google to chase that.And so, we're seeing a lot of companies that are saying, “This doesn't make any sense. We have this enormous training set. If we just put it with Cloudflare, this is data that makes sense to live in the network, fundamentally.” And not everything does. Like, we're not the right place to store your long-term transaction logs that you're only going to look at if you get sued. There are much better places, much more effective places do it.But in those cases where you've got to read data frequently, you've got to read it from different places around the world, and you will need to decrease what those costs of each one of those reads are, what we're seeing is just an enormous amount of demand for that. And I think these AI startups are really just a very clear example of what company after company after company needs, and why R2 has had—which is our zero egress cost S3 competitor—why that is just seeing such explosive growth from a broad set of customers.Corey: Because I enjoy pushing the bounds of how ridiculous I can be on the internet, I wound up grabbing a copy of the model, the Llama 2 model that Meta just released earlier this week as we're recording this. And it was great. It took a little while to download here. I have gigabit internet, so okay, it took some time. But then I wound up with something like 330 gigs of models. Great, awesome.Except for the fact that I do the math on that and just for me as one person to download that, had they been paying the listed price on the AWS website, they would have spent a bit over $30, just for me as one random user to download the model, once. If you can express that into the idea of this is a model that is absolutely perfect for whatever use case, but we want to have it run with some great GPUs available at another cloud provider. Let's move the model over there, ignoring the data it's operating on as well, it becomes completely untenable. It really strikes me as an anti-competitiveness issue.Matthew: Yeah. I think that's it. That's right. And that's just the model. To build that model, you would have literally millions of times more data that was feeding it. And so, the training sets for that model would be many, many, many, many, many, many orders of magnitude larger in terms of what's there. And so, I think the AI space is really illustrating where you have this scarce resource that you need to chase around the world, you have these enormous datasets, it's illustrating how these egress fees are actually holding back the ability for innovation to happen.And again, they are absolutely—there is no valid reason why you would charge more for egress than you do for ingress other than limiting competition. And I think the good news, again, is that's something that's gotten regulators' attention, that's something that's gotten customers' attention, and over time, I think we all benefit. And I think actually, AWS and Google and Microsoft actually become better if we start to have more competition on a feature-by-feature basis as opposed to on an overall platform. The choice shouldn't be, “I use AWS.” And any big company, like, nobody is all-in only on one cloud provider. Everyone is multi-cloud, whether they want to be or not because people end up buying another company or some skunkworks team goes off and uses some other function.So, you are across multiple different clouds, whether you want to be or not. But the ideal, and when I talk to customers, they want is, they want to say, “Well, you know that stuff that they're doing over at Microsoft with AI, that sounds really interesting. I want to use that, but I really like the maturity and robustness of some of the EC2 API, so I want to use that at AWS. And Google is still, you know, the best in the world at doing search and indexing and everything, so I want to use that as well, in order to build my application.” And the applications of the future will inherently stitch together different features from different cloud providers, different startups.And at Cloudflare, what we see is our, sort of, purpose for being is how do we make that stitching as easy as possible, as cost-effective as possible, and make it just make sense so that you have one consistent security layer? And again, we're not about hording the data; we're about connecting all of those things together. And again, you know, from the last time we talked to now, I'm actually much more optimistic that you're going to see, kind of, this revolution where egress prices go down, you get competition on feature-by-features, and that's just going to make every cloud provider better over the long-term.Corey: This episode is sponsored in part by Panoptica.  Panoptica simplifies container deployment, monitoring, and security, protecting the entire application stack from build to runtime. Scalable across clusters and multi-cloud environments, Panoptica secures containers, serverless APIs, and Kubernetes with a unified view, reducing operational complexity and promoting collaboration by integrating with commonly used developer, SRE, and SecOps tools. Panoptica ensures compliance with regulatory mandates and CIS benchmarks for best practice conformity. Privacy teams can monitor API traffic and identify sensitive data, while identifying open-source components vulnerable to attacks that require patching. Proactively addressing security issues with Panoptica allows businesses to focus on mitigating critical risks and protecting their interests. Learn more about Panoptica today at panoptica.app.Corey: I don't know that I would trust you folks to the long-term storage of critical data or the store of record on that. You don't have the track record on that as a company the way that you do for being the network interchange that makes everything just work together. There are areas where I'm thrilled to explore and see how it works, but it takes time, at least from the sensible infrastructure perspective of trusting people with track records on these things. And you clearly have the network track record on these things to make this stick. It almost—it seems unfair to you folks, but I view you as Cloudflare is a CDN, that also dabbles in a few other things here in there, though, increasingly, it seems it's CDN and security company are becoming synonymous.Matthew: It's interesting. I remember—and this really is going back to the origin story, but when we were starting Cloudflare, you know, what we saw was that, you know, we watched as software—starting with companies like Salesforce—transition from something that you bought in the box to something that you bought as a service [into 00:23:25] the cloud. We watched as, sort of, storage and compute transition from something that you bought from Dell or HP to something that you rented as a service. And so the fundamental problem that Cloudflare started out with was if the software and the storage and compute are going to move, inherently the security and the networking is going to move as well because it has to be as a service as well, there's no way you can buy a you know, Cisco firewall and stick it in front of your cloud service. You have to be in the cloud as well.So, we actually started very much as a security company. And the objection that everybody had to us as we would sort of go out and describe what we were planning on doing was, “You know, that sounds great, but you're going to slow everything down.” And so, we became just obsessed with latency. And Michelle, my co-founder, and I were business students and we had an advisor, a guy named Tom [Eisenmann 00:24:26] in business school. And I remember going in and that was his objection as well and so we did all this work to figure it out.And obviously, you know, I'd say computer science, and anytime that you have a problem around latency or speed caching is an obvious part of the solution to that. And so, we went in and we said, “Here's how we're going to do it: [unintelligible 00:24:47] all this protocol optimization stuff, and here's how we're going to distribute it around the world and get close to where users are. And we're going to use caching in the places where we can do caching.” And Tom said, “Oh, you're building a CDN.” And I remember looking at him and then I'm looking at Michelle. And Michelle is Canadian, and so I was like, “I don't know that I'm building a Canadian, but I guess. I don't know.”And then, you know, we walked out in the hall and Michelle looked at me and she's like, “We have to go figure out what the CDN thing is.” And we had no idea what a CDN was. And even when we learned about it, we were like, that business doesn't make any sense. Like because again, the CDNs were the first ones to really charge for bandwidth. And so today, we have effectively built, you know, a giant CDN and are the fastest in the world and do all those things.But we've always given it away basically for free because fundamentally, what we're trying to do is all that other stuff. And so, we actually started with security. Security is—you know, my—I've been working in security now for over 25 years and that's where my background comes from, and if you go back and look at what the original plan was, it was how do we provide that security as a service? And yeah, you need to have caching because caching makes sense. What I think is the difference is that in order to do that, in order to be able to build that, we had to build a set of developer tools for our own team to allow them to build things as quickly as possible.And, you know, if you look at Cloudflare, I think one of the things we're known for is just the rapid, rapid, rapid pace of innovation. And so, over time, customers would ask us, “How do you innovate so fast? How do you build things fast?” And part of the answer to that, there are lots of ways that we've been able to do that, but part of the answer to that is we built a developer platform for our own team, which was just incredibly flexible, allowed you to scale to almost any level, took care of a lot of that traditional SRE functions just behind the scenes without you having to think about it, and it allowed our team to be really fast. And our customers are like, “Wow, I want that too.”And so, customer after customer after customer after customer was asking and saying, you know, “We have those same problems. You know, if we're a big e-commerce player, we need to be able to build something that can scale up incredibly quickly, and we don't have to think about spinning up VMs or containers or whatever, we don't have to think about that. You know, our customers are around the world. We don't want to have to pick a region for where we're going to deploy code.” And so, where we built Cloudflare Workers for ourself first, customers really pushed us to make it available to them as well.And that's the way that almost any good developer platform starts out. That's how AWS started. That's how, you know, the Microsoft developer platform, and so the Apple developer platform, the Salesforce developer platform, they all start out as internal tools, and then someone says, “Can you expose this to us as well?” And that's where, you know, I think that we have built this. And again, it's very opinionated, it is right for certain applications, it's never going to be the right place to run SAP HANA, but the company that builds the tool [crosstalk 00:27:58]—Corey: I'm not convinced there is a right place to run SAP HANA, but that's probably unfair of me.Matthew: Yeah, but there is a startup out there, I guarantee you, that's building whatever the replacement for SAP HANA is. And I think it's a better than even bet that Cloudflare Workers is part of their stack because it solves a lot of those fundamental challenges. And that's been great because it is now allowing customer after customer after customer, big and large startups and multinationals, to do things that you just can't do with traditional legacy hyperscale public cloud. And so, I think we're sort of the next generation of building that. And again, I don't think we set out to build a developer platform for third parties, but we needed to build it for ourselves and that's how we built such an effective tool that now so many companies are relying on.Corey: As a Cloudflare customer myself, I think that one of the things that makes you folks standalone—it's why I included security as well as CDN is one of the things I trust you folks with—has been—Matthew: I still think CDN is Canadian. You will never see us use that term. It's like, Gartner was like, “You have to submit something for the CDN-like ser—” and we ended up, like, being absolute top-right in it. But it's a space that is inherently going to zero because again, if bandwidth is free, I'm not sure what—this is what the internet—how the internet should work. So yeah, anyway.Corey: I agree wholeheartedly. But what I've always enjoyed, and this is probably going to make me sound meaner than I intend it to, it has been your outages. Because when computers inherently at some point break, which is what they do, you personally and you as a company have both taken a tone that I don't want to say gleeful, but it's sort of the next closest thing to it regarding the postmortem that winds up getting published, the explanation of what caused it, the transparency is unheard of at companies that are your scale, where usually they want to talk about these things as little as possible. Whereas you've turned these into things that are educational to those of us who don't have the same scale to worry about but can take things from that are helpful. And that transparency just counts for so much when we're talking about things as critical as security.Matthew: I would definitely not describe it as gleeful. It is incredibly painful. And we, you know, we know we let customers down anytime we have an issue. But we tend not to make the same mistake twice. And the only way that we really can reliably do that is by being just as transparent as possible about exactly what happened.And we hope that others can learn from the mistakes that we made. And so, we own the mistakes we made and we talk about them and we're transparent, both internally but also externally when there's a problem. And it's really amazing to just see how much, you know, we've improved over time. So, it's actually interesting that, you know, if you look across—and we measure, we test and measure all the big hyperscale public clouds, what their availability and reliability is and measure ourselves against it, and across the board, second half of 2021 and into the first half of 2022 was the worst for every cloud provider in terms of reliability. And the question is why?And the answer is, Covid. I mean, the answer to most things over the last three years is in one way, directly or indirectly, Covid. But what happened over that period of time was that in April of 2020, internet traffic and traffic to our service and everyone who's like us doubled over the course of a two-week period. And there are not many utilities that you can imagine that if their usage doubles, that you wouldn't have a problem. Imagine the sewer system all of a sudden has twice as much sewage, or the electrical grid as twice as much demand, or the freeways have twice as many cars. Like, things break down.And especially the European internet came incredibly close to just completely failing at that time. And we all saw where our bottlenecks were. And what's interesting is actually the availability wasn't so bad in 2020 because people were—they understood the absolute critical importance that while we're in the middle of a pandemic, we had to make sure the internet worked. And so, we—there were a lot of sleepless nights, there's a—and not just at with us, but with every provider that's out there. We were all doing Herculean tasks in order to make sure that things came online.By the time we got to the sort of the second half of 2021, what everybody did, Cloudflare included, was we looked at it, and we said, “Okay, here were where the bottlenecks were. Here were the problems. What can we do to rearchitect our systems to do that?” And one of the things that we saw was that we effectively treated large data centers as one big block, and if you had certain pieces of equipment that failed in a way, that you would take that entire data center down and then that could have cascading effects across traffic as it shifted around across our network. And so, we did the work to say, “Let's take that one big data center and divide it effectively into multiple independent units, where you make sure that they're all on different power suppliers, you make sure they're all in different [crosstalk 00:32:52]”—Corey: [crosstalk 00:32:51] harder than it sounds. When you have redundant things, very often, the thing that takes you down the most is the heartbeat that determines whether something next to it is up or not. It gets a false reading and suddenly, they're basically trying to clobber each other to death. So, this is a lot harder than it sounds like.Matthew: Yeah, and it was—but what's interesting is, like, we took it all that into account, but the act of fixing things, you break things. And that was not just true at Cloudflare. If you look across Google and Microsoft and Amazon, everybody, their worst availability was second half of 2021 or into 2022. But it both internally and externally, we talked about the mistakes we made, we talked about the challenges we had, we talked about—and today, we're significantly more resilient and more reliable because of that. And so, transparency is built into Cloudflare from the beginning.The earliest story of this, I remember, there was a 15-year-old kid living in Long Beach, California who bought my social security number off of a Russian website that had hacked a bank that I'd once used to get a mortgage. He then use that to redirect my cell phone voicemail to a voicemail box he controlled. He then used that to get into my personal email. He then used that to find a zero-day vulnerability in Google's corporate email where he could privilege-escalate from my personal email into Google's corporate email, which is the provider that we use for our email service. And then he used that as an administrator on our email at the time—this is back in the early days of Cloudflare—to get into another administration account that he then used to redirect one of Cloud Source customers to a website that he controlled.And thankfully, it wasn't, you know, the FBI or the Central Bank of Brazil, which were all Cloudflare customers. Instead, it was 4chan because he was a 15-year-old hacker kid. And we fix it pretty quickly and nobody knew who Cloudflare was at the time. And so potential—Corey: The potential damage that could have been caused at that point with that level of access to things, like, that is such a ridiculous way to use it.Matthew: And—yeah [laugh]—my temptation—because it was embarrassing. He took a bunch of stuff from my personal email and he put it up on a website, which just to add insult to injury, was actually using Cloudflare as well. And I wanted to sweep it under the rug. And our team was like, “That's not the right thing to do. We're fundamentally a security company and we need to talk about when we make mistakes on security.” And so, we wrote a huge postmortem on, “Here's all the stupid things that we did that caused this hack to happen.” And by the way, it wasn't just us. It was AT&T, it was Google. I mean, there are a lot of people that ended up being involved.Corey: It builds trust with that stuff. It's painful in the short term, but I believe with the benefit of hindsight, it was clearly the right call.Matthew: And it was—and I remember, you know, pushing ‘publish' on the blog post and thinking, “This is going to be the end of the company.” And quite the opposite happened, which was all of a sudden, we saw just an incredible amount of people who signed up the next day saying, “If you're going to be that transparent about something that was incredibly embarrassing when you didn't have to be, then that's the sort of thing that actually makes me trust that you're going to be transparent the future.” And I think learning that lesson early on, has been just an incredibly valuable lesson for us and made us the company that we are today.Corey: A question that I have for you about the idea of there being no reason to charge in one direction but not the other. There's something that I'm not sure that I understand on this. If I run a website, to use your numbers of a terabit out—because it's a web server—and effectively nothing in—because it's a webserver; other than the request, nothing really is going to come in—that ingress bandwidth becomes effectively unused and also free. So, if I have another use case where I'm paying for it anyway, if I'm primarily caring about an outward direction, sure, you can send things in for free. Now, there's a lot of nuance that goes into that. But I'm curious as to what the—is their fundamental misunderstanding in that analysis of the bandwidth market?Matthew: No. And I think that's exactly, exactly right. And it's actually interesting. At Cloudflare, our infrastructure team—which is the one that manages our connections to the outside world, manages the hardware we have—meets on a quarterly basis with our product team. It's called the Hot and Cold Meeting.And what they do is they go over our infrastructure, and they say, “Okay, where are we hot? Where do we have not enough capacity?” If you think of any given server, an easy way to think of a server is that it has, sort of, four resources that are available to it. This is, kind of, vast simplification, but one is the connectivity to the outside world, both transit in and out. The second is the—Corey: Otherwise it's just a complicated space heater.Matthew: Yeah [laugh]. The other is the CPU. The other is the longer-term storage. We use only SSDs, but sort of, you know, hard drives or SSD storage. And then the fourth is the short-term storage, or RAM that's in that server.And so, at any given moment, there are going to be places where we are running hot, where we have a sort of capacity level that we're targeting and we're over that capacity level, but we're also going to be running cold in some of those areas. And so, the infrastructure team and the product team get together and the product team has requests on, you know, “Here's some more places we would be great to have more infrastructure.” And we're really good at deploying that when we need to, but the infrastructure team then also says, “Here are the places where we're cold, where we have excess capacity.” And that turns into products at Cloudflare. So, for instance, you know, the reason that we got into the zero-trust space was very much because we had all this excess capacity.We have 100 times the capacity of something like Zscaler across our network, and we can add that—that is primar—where most of our older products are all about outward traffic, the zero-trust products are all about inward traffic. And the reason that we can do everything that Zscaler does, but for, you know, a much, much, much more affordable prices, we going to basically just layer that on the network that already exists. The reason we don't charge for the bandwidth behind DDoS attacks is DDoS attacks are always about inbound traffic and we have just a ton of excess capacity around that inbound traffic. And so, that unused capacity is a resource that we can then turn into products, and very much that conversation between our product team and our infrastructure team drives how we think about building new products. And we're always trying to say how can we get as much utilization out of every single piece of equipment that we run everywhere in the world.The way we build our network, we don't have custom machines or different networks for every products. We build all of our machines—they come in generations. So, we're on, I think, generation 14 of servers where we spec a server and it has, again, a certain amount of each of those four [bits 00:39:22] of capacity. But we can then deploy that server all around the world, and we're buying many, many, many of them at any given time so we can get the best cost on that. But our product team is very much in constant communication with our infrastructure team and saying, “What more can we do with the capacity that we have?” And then we pass that on to our customers by adding additional features that work across our network and then doing it in a way that's incredibly cost-effective.Corey: I really want to thank you for taking the time to, basically once again, suffer slings and arrows about networking, security, cloud, economics, and so much more. If people want to learn more, where's the best place for them to find you?Matthew: You know, used to be an easy question to answer because it was just, you know, go on Twitter and find me but now we have all these new mediums. So, I'm @eastdakota on Twitter. I'm eastdakota.com on Bluesky. I'm @real_eastdakota on Threads. And so, you know, one way or another, if you search for eastdakota, you'll come across me somewhere out there in the ether.Corey: And we will, of course, put links to that in the show notes. Thank you so much for your time. I appreciate it.Matthew: It's great to talk to you, Corey.Corey: Matthew Prince, CEO and co-founder of Cloudflare. I'm Cloud Economist Corey Quinn and this is Screaming in the Cloud. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas if you've hated this podcast, please leave a five-star review on your podcast platform of choice along with an angry, insulting comment that I will of course not charge you inbound data rates on.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started.

In episode 154 of our SAP on Azure video podcast we talk about Automated registration of SAP systems at scale with Azure Centre for SAP solutions, Private Preview for DR for Shared Disks with Azure Site Recovery, SAP OData APIs via Azure API Management and link it with Azure Static Web App, Manufacturing Ontologies - with SAP, availability of ABAP Platform Trial and Warmest Welcome to our new SAP Champions! Then we take a look at Azure NetApp Files. We mainly talk about this in the context of SAP HANA on Azure. But as we briefly touched early as well, ANF also plays a huge role with Oracle workload. So today we want to take another look at updates on Azure NetApp Files, what's new with "ANF and SAP HANA" and then look at large scale deployments with Oracle on Azure. For this I am happy to have Geert with us again on the show. Find all the links mentioned here: https://www.saponazurepodcast.de/episode154 Reach out to us for any feedback / questions: * Robert Boban: https://www.linkedin.com/in/rboban/ * Goran Condric: https://www.linkedin.com/in/gorancondric/ * Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #ANF #Oracle

Alex Hesterberg, CEO at Superna embarks on a captivating exploration of the expanding world of unstructured data and data security trends. The discussion gets fervid as Alex enlightens us about the amplified use of unstructured data platforms in recovery and resiliency along with its application in tier zero platforms like SAP HANA. His insights about data integration into business intelligence tools and the potential of AI and ML technologies like ChatGPT are truly riveting.

In episode 148 of our SAP on Azure video podcast we talk about Azure Premium SSD v2 Disk Storage in more regions, SQL Server 2022 is released for SAP NetWeaver, Data protection with BlueXP backup and recovery with SAP HANA on AZure NetApp Files, SAP Start/Stop Automation using Azure Center for SAP Solutions, Principal propagation in a multi-cloud solution between Microsoft Azure and SAP, Part VII Invoke RFCs and BAPIs with Kerberos delegation from Microsoft Power Platform, SAP BTP ABAP Environment integration journey with Microsoft Excel and GitHub Copilot Early Adoption phase at SAP. Then Robert Boban walks us through a code-first scenario and how Visual Studio can be used to publish and connect to Power Platform, leverage Azure API Management create connectors directly from the pro-code environment. https://www.saponazurepodcast.de/episode148 Reach out to us for any feedback / questions: * Robert Boban: https://www.linkedin.com/in/rboban/ * Goran Condric: https://www.linkedin.com/in/gorancondric/ * Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #PowerPlatform #VisualStudio

Welcome to the newest episode of The Cloud Pod podcast! Justin, Ryan and Jonathan are your hosts this week as we discuss all the latest news and announcements in the world of the cloud and AI - including Amazon's new AI, Bedrock, as well as new AI tools from other developers. We also address the new updates to AWS's CodeWhisperer, and return to our Cloud Journey Series where we discuss *insert dramatic music* - Kubernetes!  Titles we almost went with this week: ⭐I'm always Whispering to My Code as an Individual

On this episode of The Cloud Pod, the team talks about the possible replacement of CEO Sundar Pichai after Alphabet stock went up by just 1.9%, the new support feature of Amazon EKS for Kubernetes, three partner specializations just released by Google, and how clients have responded to the AI Powered Bing and Microsoft Edge. A big thanks to this week's sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights

In episode 134 of our SAP on Azure video podcast we talk about using Azure NetApp Files AVG for SAP HANA to deploy HANA with multiple partitions, Secure Communication to Fetch SAP NetWeaver SAP Control and SAP RFC Metric Data in Azure Monitor for SAP, ChatGPT Integration with SAP S/4HANA, Build solutions faster with Microsoft Power Platform and next-generation AI and Introducing Microsoft Dynamics 365 Copilot. Then we talk about a question that we got in several comments: SAP Business One. Especially how you can extend and integrate your SAP Business One system with Azure services -- like Logic Apps. So today we have Richard Duffy and Moshe Nachman joining us. Both of them are experts in SAP Business One and Moshe has published some great blog posts on how to do exactly this integration and extension https://www.saponazurepodcast.de/episode134 Reach out to us for any feedback / questions: * Robert Boban: https://www.linkedin.com/in/rboban/ * Goran Condric: https://www.linkedin.com/in/gorancondric/ * Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure

In episode 134 of our SAP on Azure video podcast we talk about using Azure NetApp Files AVG for SAP HANA to deploy HANA with multiple partitions, Secure Communication to Fetch SAP NetWeaver SAP Control and SAP RFC Metric Data in Azure Monitor for SAP, ChatGPT Integration with SAP S/4HANA, Build solutions faster with Microsoft Power Platform and next-generation AI and Introducing Microsoft Dynamics 365 Copilot. Then we talk about a question that we got in several comments: SAP Business One. Especially how you can extend and integrate your SAP Business One system with Azure services -- like Logic Apps. So today we have Richard Duffy and Moshe Nachman joining us. Both of them are experts in SAP Business One and Moshe has published some great blog posts on how to do exactly this integration and extension https://www.saponazurepodcast.de/episode134 Reach out to us for any feedback / questions: * Robert Boban: https://www.linkedin.com/in/rboban/ * Goran Condric: https://www.linkedin.com/in/gorancondric/ * Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure

Hoy hablo con David Almagro, alguien a quien conocí gracias a otra de las personas que ha pasado por aquí, Enric Castellá. Me gusta el contenido que publica y la forma en la que lo trata: vídeos cortos, con un lenguaje claro y asequible. Nos cuenta su visión de la parte de Basis, ahora que llega “el coco” del cloud… parece que no se va a quedar sin trabajo; eso sí, hay que reciclarse y trabajar de otra forma. Hablamos, por ejemplo, de RISE… ¿Un único contrato? ¿Qué pasa con los SLA? ¿Me salen los números? ¿SAP me hace todo? Nos habla de su experiencia a la hora de trabajar con SAP HANA y nos da una serie de consejos interesantes a la hora de afrontar las migraciones que se nos vienen encima… ¿Greenfield? ¿Brownfield? Nos explica también cómo funciona el tema de los FUEs, desde su propia experiencia; muy a tener en cuenta, si estás en el momento de renegociar tus licencias. Como siempre, lo mejor es escucharlo...

In episode 125 of our SAP on Azure video podcast we talk about Looking back on 2022, Azure Backup for SAP HANA, Shortage of Security experts, ABAP Cloud, SAP Business One and Microsoft Azure and how the Power Platform can help you modernize your mainframe application. Then we take another deep dive on SAP and security. Bad actors are getting more aggressive and it is easier to attack a company using different tools and services. That's why it is so important to also use services to protect your IT systems -- not only SAP. Evren Buyruk joins us again to talk about different offerings on Azure that help you protect your SAP workload. https://www.saponazurepodcast.de/episode125 Reach out to us for any feedback / questions: * Robert Boban: https://www.linkedin.com/in/rboban/ * Goran Condric: https://www.linkedin.com/in/gorancondric/ * Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #SAPonAzure

In episode 123 of our SAP on Azure video podcast we talk about Cross Zonal Restore of Azure Virtual Machines from Azure Backup, Azure NetApp Files cross-zone replication, Optimize HANA deployments with Azure NetApp Files application volume group for SAP HANA and Coca-Cola United automating over 50,000 orders in complex SAP invoicing process with Microsoft Power Platform. "Partners make more possible". From the very beginning partners were and are a central pillar for Microsofts success. If we look at SAP and Microsoft, this is even more important. We have now a lot of pure SAP partners that acquired the required Microsoft knowledge to help customers. Robert Boban talks about the mentoring and continuous coaching concept that enable our partners to work with SAP and Microsoft. https://www.saponazurepodcast.de/episode123 Reach out to us for any feedback / questions: * Robert Boban: https://www.linkedin.com/in/rboban/ * Goran Condric: https://www.linkedin.com/in/gorancondric/ * Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #SAPonAzure

In episode 117 of our SAP on Azure video podcast we talk about latest improvements to efficiency in Microsoft datacenters, sustainability guidance for Azure Kubernetes Services, using availability zones for HA in Azure NetApp Files, Premium SSD v2 storage configurations for SAP HANA, SAP events on Azure Event Grid, GA of Power Apps Ideas and Calling the Microsoft Graph on behalf of the SAP-authenticated user. Then we have Domnic Benedict from SAP and Bartosz Jarkowski joining us to talk about integrating the SAP Digital Supply Chain with Microsoft services. The integration with Microsoft Teams via Adaptive Cards notifies suppliers and also enables collaboration on key information from IBP in Teams. The usage of Azure Machine Learning for SAP Digital Supply Chains allows customers to use individual ML models to do forecasting with IBP. https://www.saponazurepodcast.de/episode117 Reach out to us for any feedback / questions: * Robert Boban: https://www.linkedin.com/in/rboban/ * Goran Condric: https://www.linkedin.com/in/gorancondric/ * Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/

Podcast 33 - “ Evgeny Vaganov and Abdul Rahim has ~12 years of combined experience at #awscloud and have worked with thousands of customers moving to cloud. In episode 33, we asked them to share their cloud journey, lessons learned and advice for customers. Some key points: - Many cloud deployment start as non mission critical, in a single cloud and organically grew into a giant mess that is hard to untangle, with several design flaws, lack of visibility, security holes and operational/governance nightmares. - CSP by design focus less on networking features as they have to prioritize durability, performance availability and ensure environment is secure. Pace of innovation is slow as they try to recreate 30 years worth of capabilities in a cloud way, which will take time. -Every single customer they met were either multi-cloud already or looking to extend in other clouds. Single CSP alone CANNOT meet requirements of enterprises. -Key points they love about Aviatrix is "end to end focus b.w apps and users" -Aviatrix has put the focus and control back on networking and security and Aviatrix ACE (#aviatrixace ) is the most beautiful opportunity. Think CCIE in 1995 but much bigger in terms of impact as cloud transformation will be 10x bigger and 100x faster. [Note: Rahim has 3 X CCIE's) -Industry clouds becoming more prominent with many vendors offering "Specialty as a service -SaaS" on top of multiple CSPs infra which is like a "utility" model. Think Splunk, snowflake, SAP HANA, Netflix all becoming Over the Top [OTT} providers over multiple CSPs. It will become more common trend and many CSPs may look to acquire certain businesses just for their vertical expertise as well. [like Oracle/Cerner and Goldman announcing their own financial cloud]. -Aviatrix is a perfect fit for industry clouds.... a cookie cutter approach to offer their software in a secure, consistent manner on top of any cloud and intelligently connecting to end consumers. Revenue is directly proportional to how fast they onboard customers and expand in a consistent manner. Both Evgeny and Rahim offered 1:1 consulting session for any customers looking for advice. Reach out directly or contact Aviatrix info@aviatrix.com. Podcast link here. Hope you will enjoy. https://lnkd.in/geQG2zX6 --- Send in a voice message: https://anchor.fm/netjoints/message

Podcast 33 - “ Evgeny Vaganov and Abdul Rahim has ~12 years of combined experience at #awscloud and have worked with thousands of customers moving to cloud. In episode 33, we asked them to share their cloud journey, lessons learned and advice for customers. Some key points: - Many cloud deployment start as non mission critical, in a single cloud and organically grew into a giant mess that is hard to untangle, with several design flaws, lack of visibility, security holes and operational/governance nightmares. - CSP by design focus less on networking features as they have to prioritize durability, performance availability and ensure environment is secure. Pace of innovation is slow as they try to recreate 30 years worth of capabilities in a cloud way, which will take time. -Every single customer they met were either multi-cloud already or looking to extend in other clouds. Single CSP alone CANNOT meet requirements of enterprises. -Key points they love about Aviatrix is "end to end focus b.w apps and users" -Aviatrix has put the focus and control back on networking and security and Aviatrix ACE (#aviatrixace ) is the most beautiful opportunity. Think CCIE in 1995 but much bigger in terms of impact as cloud transformation will be 10x bigger and 100x faster. [Note: Rahim has 3 X CCIE's) -Industry clouds becoming more prominent with many vendors offering "Specialty as a service -SaaS" on top of multiple CSPs infra which is like a "utility" model. Think Splunk, snowflake, SAP HANA, Netflix all becoming Over the Top [OTT} providers over multiple CSPs. It will become more common trend and many CSPs may look to acquire certain businesses just for their vertical expertise as well. [like Oracle/Cerner and Goldman announcing their own financial cloud]. -Aviatrix is a perfect fit for industry clouds.... a cookie cutter approach to offer their software in a secure, consistent manner on top of any cloud and intelligently connecting to end consumers. Revenue is directly proportional to how fast they onboard customers and expand in a consistent manner. Both Evgeny and Rahim offered 1:1 consulting session for any customers looking for advice. Reach out directly or contact Aviatrix info@aviatrix.com. Podcast link here. Hope you will enjoy. https://lnkd.in/geQG2zX6 --- Send in a voice message: https://anchor.fm/netjoints/message

In episode 97 of our SAP on Azure video podcast we talk about a new video of Microsoft Purview and SAP, a detailed recovery guide for SAP HANA and Azure NetApp Files, scale-up high-availability on disaster region architecture, Customer engagement initiative for SAP Private Link and Martins and Wills presentation at the Integrate conference in London. Then Ross and Jitendra join us to talk about the Health and Inventory checks for SAP part of the AzSAP Tools & Framework. Starting with the VM/OS health check to ensure that a setup and operation is done in a recommended way to the inventory check provides an "early-watch-kind of report" over your SAP landscape on Azure. https://github.com/Azure/SAP-on-Azure-Scripts-and-Utilities/tree/main/Tools%26Framework https://www.saponazurepodcast.de/episode097

Neben relationalen Datenbanken gibt es noch eine ganz andere Welt: NoSQL.Doch wofür steht eigentlich NoSQL? Kein SQL? Not Only SQL? Was ist eigentlich die Geschichte hinter dem Hype? Warum wurde diese Art von Datenbanken erfunden? Wofür sind diese gut? Folgen NoSQL Datenbank auch dem ACID-Concept? Was ist Eventual Consistency? Und was sind Neo4J, M3, Cassandra, und Memcached für Datenbanken? Eine Episode voller Buzzwords … Hoffen wir auf ein Bingo.Bonus: Warum Wolfgang keinen Manta fährt und ob Andy bald mit einem Ferrari zum einkaufen fährt.Feedback an stehtisch@engineeringkiosk.dev oder via Twitter an https://twitter.com/EngKioskLinksACID: https://de.wikipedia.org/wiki/ACIDBASE: https://db-engines.com/de/article/BASECAP-Theorem: https://de.wikipedia.org/wiki/CAP-TheoremEventual Consistency: https://de.wikipedia.org/wiki/Konsistenz_(Datenspeicherung)#Verteilte_SystemeMichael Stonebraker / The End of an Architectural Era (It's Time for a Complete Rewrite): http://nms.csail.mit.edu/~stavros/pubs/hstore.pdfMongoDB: https://www.mongodb.com/Presto: https://prestodb.io/SAP HANA: https://www.sap.com/germany/products/hana.htmlRedis: https://redis.io/Neo4J: https://neo4j.com/M3: https://m3db.io/InfluxDB: https://www.influxdata.com/VictoriaMetrics: https://victoriametrics.com/Cassandra: https://cassandra.apache.org/Memcached: https://memcached.org/MySQL: https://www.mysql.com/de/MySQL Memcached Plugin: https://dev.mysql.com/doc/refman/5.6/en/innodb-memcached.htmlSprungmarken(00:00:00) Intro(00:00:53) Wolfgangs Auto, Entlastungspaket in Deutschland(00:03:23) Heutiges Thema: NoSQL Datenbanken und CO2-Einsparung durch Datenbank-Optimierungen(00:07:20) Was ist anders zur Episode 19 (Datenbanken) und ist NoSQL überhaupt noch ein Thema?(00:08:39) Was verstehen wir unter dem Begriff NoSQL und woher kommt es eigentlich?(00:15:58) Tip: Für Side Projects besser vertikal anstatt horizontal skalieren(00:16:50) NoSQL: Speziellere Lösungen mit Fokus auf Einfachheit und Benutzerfreundlichkeit(00:18:38) Braucht man heute noch Datenbank-Administratoren (DBA)?(00:21:13) Der Job des klassischen System-Administrator ist weiterhin relevant(00:23:15) Gibt es wirklich keine Datenbank-Schemas in der NoSQL-Welt?(00:27:23) Schema-Lose Möglichkeit in relationalen Datenbanken und Arbeit in die Datenbank oder Software auslagern(00:30:53) NoSQL hat die ACID-Properties aufgeweicht und warum ACID nachteilig für die Skalierung ist(00:33:28) Das NoSQL BASE Akronym(00:36:15) Der Client muss die Datenbank ordentlich nuzten um ACID-Garantien zu bekommen(00:41:35) Was bedeutet eigentlich NoSQL? Kein SQL? Not Only SQL?(00:43:38) Haupt-Speicher Datenbanken und was SAP damit zu tun hat(00:48:02) Was ist Neo4J für eine Datenbank und welcher Use-Case kann damit abgedeckt werden?(00:50:49) Was ist M3 für eine Datenbank und welcher Use-Case kann damit abgedeckt werden?(00:53:06) Was ist Cassandra für eine Datenbank und welcher Use-Case kann damit abgedeckt werden?(00:54:20) Was ist Memcached für eine Datenbank und welcher Use-Case kann damit abgedeckt werden?(00:58:44) OutroHostsWolfgang Gassler (https://twitter.com/schafele)Andy Grunwald (https://twitter.com/andygrunwald)Engineering Kiosk Podcast: Anfragen an stehtisch@engineeringkiosk.dev oder via Twitter an https://twitter.com/EngKiosk

Learn about SUSE Linux Enterprise Server, the leading Linux platform for hosting SAP workloads, including SAP HANA, SAP NetWeaver and SAP S/4HANA.

In this episode of SAP Integration & Extension Talk, March' 2022 we deep dive into conversation with Development Architect from SAP BTP Runtimes & Core Stakeholder Engagement team, where we start with understanding the differences between Kyma and SAP BTP Kyma runtime. Then talking about how businesses can get the benefits if they build and run containerized business applications on Kubernetes. We also discuss what's new in the SAP BTP Kyma runtime and where we can learn more and get hands-on knowledge.

Genre: Cloud Services, Career Development. Cloud services are services provided by certain companies which allows remote accessibility of data with the help of internet. These services are very important as many companies have branches overseas which makes it difficult for employees to collaborate and work on certain projects. One of the emerging companies who provide reliable cloud resources is google cloud services which will be discussed in detail in this episode.   In the episode: Start 0:00:00 Pritam's career so far and top 3 things that helped him in his career. 0:02:55 What are different types of databases and how do they help the businesses? 0:04:22 What does google cloud offer to meet various DB requirements? 0:06:07 Data Warehousing options available on Google Cloud. 0:09:21 Google Cloud BigTable 0:12:56 How to get started with Database Migrations for homogeneous and heterogeneous scenarios? 0:15:51 Rapid fire questions 0:19:10 What would be your advice for those aspiring to make big in their careers? 0:23:21 Trivia on Websites 0:25:48  About the guest: Pritam has 15 years of IT industry experience, with Specialization on Cloud (IaaS, PaaS), & pre-sales experience in various geographies and market segments. His specialities include Google Cloud, AWS, Oracle Public Cloud, PaaS, IaaS, Hybrid Cloud, Cloud Security, Oracle Identity & Access Management, Oracle Database Technology related products, SAP Databases, SAP HANA. Important Links: Google Cloud Databases  https://cloud.google.com/products/databases Relational Databases           Cloud SQL https://cloud.google.com/sql          Cloud Spanner https://cloud.google.com/spanner Non relational Databases           BigTable https://cloud.google.com/bigtable          Firestore https://cloud.google.com/firestore Relational DB Migrations i.e. Database Migration Service https://cloud.google.com/database-migration Serverless Multicloud Datawarehouse Service on Google Cloud https://cloud.google.com/bigquery/   Connect with Pritam on LinkedIn: https://www.linkedin.com/in/pritam-sahoo-77a438a/ Naveen Samala https://www.linkedin.com/mwlite/in/naveensamala Sudhakar Nagandla: https://www.linkedin.com/in/nvsudhakar   Watch the video interview on YouTube: https://youtu.be/PO7Kk_yNkzM  

On this episode of Slate Money, Felix Salmon of Fusion, Cathy O'Neil of mathbabe.org, and Slate's Moneybox columnist Jordan Weissmann share the financial odds and ends they're most thankful for this year, including: • Insurance (Cathy)• Index Funds (Felix)• McDonald's (Jordan) Check out other Panoply podcasts at itunes.com/panoply. Email: slatemoney@slate.comTwitter: @Felix salmon, @mathbabedotorg, @JHWeissmann Podcast production by Zachary Dinerstein Slate Money is brought to you by Braintree. Looking to set up payments for your business? Braintree gives your app or website a payment solution that accepts just about every payment method with one simple integration. Plus, we'll give you your first $50,000 in transactions fee­free. To learn more, visit BraintreePayments.com/​slatemoney​. And by SAP HANA. SAP HANA helps the world's best companies get the answers they need to become more agile, develop new streams of revenue, and predict the future. Run SAP. And Run Simple. Visit sap.com/reimagine to learn more. And by MileIQ. If you're one of the 60 million Americans who drive for work then you know that your miles are your dollars. Every mile you don't log is money that you are losing. MileIQ is the only mileage-tracker app that detects, logs, and calculates your miles for you, ensuring that every mile is accounted for and no dollar is lost. Try MileIQ for free today by texting ​SLATEMONEY​ to 31996. Hosted on Acast. See acast.com/privacy for more information.

On this episode of Slate Money, financial writer Gregory Ip joins Felix Salmon of Fusion, Cathy O'Neil of mathbabe.org, and Slate's Moneybox columnist Jordan Weissmann to discuss:• Greg's new book Foolproof: Why Safety Can Be Dangerous and How Danger Makes Us Safe• Marriott's planed acquisition of the luxury hotel chain Starwood• Square's IPO launch Check out other Panoply podcasts at itunes.com/panoply. Email: slatemoney@slate.comTwitter: @Felix salmon, @mathbabedotorg, @JHWeissmann Podcast production by Zachary Dinerstein Slate Money is brought to you by Goldman Sachs. Get information about developments currently shaping markets, industries, and the global economy on the firm's podcast -Exchanges at Goldman Sachs - available on iTunes. And by SAP HANA. SAP HANA helps the world's best companies get the answers they need to become more agile, develop new streams of revenue, and predict the future. Run SAP. And Run Simple. Visit sap.com/reimagine to learn more. And by MileIQ. If you're one of the 60 million Americans who drive for work then you know that your miles are your dollars. Every mile you don't log is money that you are losing. MileIQ is the only mileage-tracker app that detects, logs, and calculates your miles for you, ensuring that every mile is accounted for and no dollar is lost. Try MileIQ for free today by texting SLATEMONEY to 31996. Hosted on Acast. See acast.com/privacy for more information.

On this episode of Slate Money, Nando Vila of Fusion joins Felix Salmon (also of Fusion), Cathy O'Neil of mathbabe.org, and Slate's Moneybox columnist Jordan Weissmann in a battle of wits to discuss: Student loan debt (and whether we should do away with it all together)Neel Kashkari, the new president of the Minneapolis Federal ReserveAn alarming statistic which shows that death rates for middle age white Americas have been rising over the last fifteen years Check out other Panoply podcasts at itunes.com/panoply. Email: slatemoney@slate.comTwitter: @Felix salmon, @mathbabedotorg, @JHWeissmann Slate Money is brought to you by Casper, an online retailer of premium mattresses for a fraction of the price. Casper mattresses come with free delivery and returns within a 100-day period. And get 50 dollars toward any mattress purchase by visiting casper.com/slatemoney and using the promo code SLATEMONEY. And by SAP HANA. SAP HANA helps the world's best companies get the answers they need to become more agile, develop new streams of revenue, and predict the future. Run SAP and Run Simple. Visit sap.com/reimagine to learn more. And by MileIQ. If you're one of the 60 million Americans who drive for work then you know your miles are your dollars. Every mile you don't log is money that you're losing. MileIQ is the only mileage-tracker app that detects, logs, and calculates your miles for you, ensuring that every mile is accounted for and no dollar is lost. Try MileIQ for free today by texting SLATEMONEY to 31996. Hosted on Acast. See acast.com/privacy for more information.

Emily Bazelon, Jamelle Bouie, and David Plotz discuss the fourth Republican debate, student protests at University of Missouri and Yale University and President Obama appealing executive action on immigration to the Supreme Court.The Slate Political Gabfest is brought to you by Harry's, the shaving company that offers German-engineered blades, well-designed handles, and shipping right to your door. Visit Harrys.com for $5 off your first purchase with the promo code GABFEST.And by Stamps.com. Buy and print official U.S. postage using your own computer and printer, and save up to 80% compared to a postage meter. Sign up for Stamps.com and get a 4-week trial and a $110 bonus offer when you use the promo code GABFEST.And by SAP HANA. SAP HANA helps the world's best companies get the answers they need to become more agile, develop new streams of revenue, and predict the future. Run SAP. And Run Simple. Visit sap.com/reimagine to learn more.Slate Plus members: Get your ad-free podcast feed.Become a fan of the Political Gabfest on Facebook. We post to the Facebook page throughout the week, so keep the conversation going by joining us there. Or follow us@SlateGabfest (#heygabfest)! The email address for the Political Gabfest isgabfest@slate.com. (Email may be quoted by name unless the writer stipulates otherwise.) Hosted on Acast. See acast.com/privacy for more information.

On this episode of Slate Money, hosts Felix Salmon of Fusion, Cathy O'Neil of mathbabe.org, and Slate's Moneybox columnist Jordan Weissmann give a primer on finance.Topics discussed on today's show include:Hedge fundsVenture capitalPrivate equity Check out other Panoply podcasts at itunes.com/panoply.Slate Money is brought to you by Braintree. Looking to set up payments for your business? Braintree gives your app or website a payment solution that accepts just about every payment method with one simple integration. Plus, we'll give you your first $50,000 in transactions fee-free. To learn more, visit BraintreePayments.com/slatemoney . And by SAP HANA. SAP HANA helps the world's best companies get the answers they need to become more agile, develop new streams of revenue, and predict the future. Run SAP. And Run Simple. Visit sap.com/reimagine to learn more. And by MileIQ. If you're one of the 60 million Americans who drive for work then you know that your miles are your dollars. Every mile you don't log is money that you are losing. MileIQ is the only mileage-tracker app that detects, logs, and calculates your miles for you, ensuring that every mile is accounted for and no dollar is lost. Try MileIQ for free today by texting SLATEMONEY to 31996. Hosted on Acast. See acast.com/privacy for more information.

On this episode of Slate Money, Mehrsa Baradaran, author of How the Other Half Banks,  joins Felix Salmon of Fusion, Cathy O'Neil of mathbabe.org, and Slate's Moneybox columnist Jordan Weissmann, to discuss unbanking in America.Topics discussed on today's show include:How banks are failing poor and working class AmericansHow postal banking could be a solutionThe debate over prepaid debit cards Check out other Panoply podcasts at itunes.com/panoply.Slate Money is brought to you by Goldman Sachs. Get information about developments currently shaping markets, industries, and the global economy on the firm's podcast, ‘Exchanges at Goldman Sachs,' available on iTunes.And by SAP HANA. SAP HANA helps the world's best companies get the answers they need to become more agile, develop new streams of revenue, and predict the future. Run SAP. And Run Simple. Visit sap.com/reimagine to learn more. And by MileIQ. If you're one of the 60 million Americans who drive for work then you know that your miles are your dollars. Every mile you don't log is money that you are losing. MileIQ is the only mileage-tracker app that detects, logs, and calculates your miles for you, ensuring that every mile is accounted for and no dollar is lost. Try MileIQ for free today by texting SLATEMONEY to 31996. Hosted on Acast. See acast.com/privacy for more information.

Emily Bazelon, John Dickerson, and David Plotz discuss the third Republican primary debate, the Obama-Boehner budget deal, and the violent arrest of a South Carolina high school student.The Slate Political Gabfest is brought to you by The Rachel Maddow Show on MSNBC. Watch Rachel as she breaks down the big headlines for the local threads that tie them all together. It's the Rachel Maddow Show … covering America one story at time. Weeknights at 9 Eastern only on MSNBC.And by Bonobos. Bonobos takes the pain and hassle out of finding stylish clothes that fit. For a limited time, all new customers can get 20 percent off their first order at Bonobos.com/gabfest. Discover the difference that an expertly crafted, better-fitting wardrobe can make.And by SAP HANA. SAP HANA helps the world's best companies get the answers they need to become more agile, develop new streams of revenue, and predict the future. Run SAP. And Run Simple. Visit sap.com/reimagine to learn more.Join Slate Plus! Members get bonus segments, exclusive member-only podcasts, and more. Sign up for a free trial today at www.slate.com/gabfestplus.Twitter: @SlateGabfestFacebook: facebook.com/GabfestEmail: gabfest@slate.comShow notes at slate.com/gabfest Hosted on Acast. See acast.com/privacy for more information.