Podcasts about grafana labs

In this awesome installment, host Joe Colantonio sits down with Mark Meier and Tom Miseur from Grafana Labs to dive deep into the world of performance testing and how their brand new open source Grafana k6 Studio is making these powerful practices accessible for everyone on your team—from developers to QA and SREs. Try out Insight Hub free for 14 days now: https://testguild.me/insighthub. No credit card required. Listen in as they discuss the evolution of k6 from a developer-first tool to one built for seamless collaboration across teams, the challenges of performance testing in modern DevOps pipelines, and practical advice for avoiding common pitfalls like the dreaded million virtual user myth. You'll also get an insider's look at how k6 Studio simplifies recording, scripting, and correlating test scenarios and how it compares to longtime industry players like JMeter. Discover the team's vision for the future, including enhanced browser testing features, integration with Grafana Cloud, and thoughts on leveraging AI to accelerate performance testing efforts. If you're ready to learn actionable strategies for making performance testing a team sport (not just a developer or QA silo) and want to hear tips on integrating load testing into your CI/CD pipelines, this episode is a must-listen! Check Out Grafana k6 Studio: https://grafana.com/docs/k6/latest/k6-studio/ Watch k6 Studio demo:  https://testguild.me/dzebxa

The infusion of compute-heavy AI across enterprise applications and work flows, growing appetite for real-time business intelligence and more digitization calls for an expansion of compute, storage and networking resources. The growing dependency on digital services and tools likely necessitates ongoing monitoring of the IT value chain to prevent business disruption and reduce time to remediate. These shifts will likely drive demand for platforms like Grafana Labs. In this episode of the Tech Disruptors podcast, Raj Dutt, co-founder and CEO at Grafana, joins Sunil Rajgopal, Bloomberg Intelligence's senior software analyst, to discuss the impact of DeepSeek, emerging data and large language model-focused observability solutions. They also talk about implications from agentic work flows, future growth paths and competition.

Querida tecnología: hoy nos acompañan de nuevo nuestros amigos de Grafana Labs. No te pierdas esta conversación llena de novedades y detalles sobre observabilidad end-to-end.

Tom Wilkie, the CTO of Grafana Labs, talks to us about his professional journey. We cover how he got into software engineering, his first startup, working as an EM at Google, and what motivated him to go back to an IC role. We talk about his time at Grafana from when they were only 25 people to now when Grafana Labs has more than a thousand employees. Tom's journey cannot be told without diving deeper into the technical side of things - we discuss observability, distributed systems, and hard technical problems.Where to find more about Tom and Grafana Labs:- LinkedIn - https://www.linkedin.com/in/tomwilkie- X - https://x.com/tom_wilkie- Grafana Labs - https://grafana.com/- Grafana Labs events - https://grafana.com/events/Where to find Bartek:- LinkedIn - https://www.linkedin.com/in/bwplotka/- X - https://x.com/bwplotkaWhere to find Ivan:- LinkedIn - https://www.linkedin.com/in/ivan-valkov/- X - https://x.com/ivvalkovAs always, feedback and questions are welcome! You can use this form -https://forms.gle/NmUGeqMtyP6H6mMP90:00 - Tom's intro7:09 - How Tom got into software engineering15:05 - Tom's first startup 21:25 - Tom's experience as EM at Google28:04 - Joining Weaveworks as employee number 738:51 - Tom joining Grafana45:32 - Grafana's Third Act53:12 - Startup advice59:41 - Perseverance and motivation1:04:35 - How Grafana acquires startups1:10:25 - Where to find out more

Querida tecnología: hoy inauguramos una serie especial de cuatro capítulos en colaboración con nuestro partner, Grafana Labs. En este primer episodio, nos enfocamos en mostraros la historia de Grafana, sus actualizaciones más recientes y nos enredamos con las funcionalidades que han transformado la observabilidad en una herramienta esencial para cualquier empresa moderna. Música: Aliaksei Yuknhevich - Background Ukulele Makesound - Ambient Motivational Inspirational

This week, we discuss our AI usage, recap key announcements from VMware Explore, and examine RedMonk's analysis of how open-source licensing impacts revenue and market cap. Plus, some thoughts on power bricks. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/eb85zwGi-I8?si=obl5uvVehHdNZYQ8) 482 (https://www.youtube.com/live/eb85zwGi-I8?si=obl5uvVehHdNZYQ8) Runner-up Titles Information wants to be free, yo Stay In The Bushes Tip Jar Culture Tell Me About Meatloaf I want you in here with me Platforms For Building Platforms Private SaaS Mom and Dad having a fun conversation on a road trip I have my special chargers I want it back Rundown Sign up for Coté's Newsletter (https://newsletter.cote.io) IDC's Worldwide AI and Generative AI Spending (https://blogs.idc.com/2024/08/21/idcs-worldwide-ai-and-generative-ai-spending-industry-outlook/) Private Cloud at VMware Explore - Notebook (https://newsletter.cote.io/p/private-cloud-at-vmware-explore-notebook) Cursor.com (https://newsletter.cote.io) OSS Software Licensing Changes and Their Impact on Financial Outcomes (https://redmonk.com/rstephens/2024/08/26/software-licensing-changes-and-their-impact-on-financial-outcomes/) Coté's proposal for how to fix it (https://softwaredefinedtalk.slack.com/archives/C5GPMBXQT/p1724827874689099). Another Thread from Adam Jacob on OSS (https://x.com/adamhjk/status/1828150343332700223) Zoom Docs Is Here. Is It Any Good? 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To kick off season two of Grafana's Big Tent podcast, our host Mat Ryer is back and he's bringing along some heavy hitters! Get ready for a deep dive into the world of caching with Memcached maintainer Alan Kasindorf (aka dormando), along with caching aficionados Danny Kopping and Ed Welch. They'll discuss CPU-level to application-level caching and share strategies that supercharge performance, especially in high-traffic, distributed systems like Grafana Loki. 

This week on The Business of Open Source, I talked with Tom Wilkie, CTO at Grafana Labs. We talked about how he had a 10-month run building a startup before ultimately joining Grafana in an acquisition — why he thought that was the right move at the time and how it's developed since then. But Tom has also had a long career in open source businesses, and we had plenty to talk about. My favorite quote: “I've always seen open source as a privilege of successful businesses, so I want to be a successful business.” At Kausal, Tom's first startup, the focus was on financial sustainability from the beginning, and they had $100k in revenue in 10 months before the acquisition by Grafana. At Grafana Labs, everything is done with an eye on revenue — yes, there are tons of open source projects and tons of investment in those projects, but it has to be tied to revenue. Some other things we talked about: Starting an open source company with the explicit goal of being a successful business, which is not what Tom sees all open source companies doingWhy you should probably start with open source code at the beginning if you intend to open source at all, because otherwise your code will get messy and you'll be too embarrassed to open itHow integrations are the secret sauce that Grafana Labs monetizes — why that it, and how it allows so much code to stay open source without threatening Grafana's financial successChoosing a SaaS strategy versus choosing an enterprise on-prem strategy — and how you need to be aware of what your competitors are doing when choosing which is right for you. Thanks for listening! I'm Emily Omier, a consultant who works with company on open source strategy related to positioning and product management. If you're struggling with your strategy around open source — whether you're unsure how to differentiate in the ecosystem or not sure what to open source — I can help. Learn more here. 

Nesse episódio do podcast Fernando Okuma e Ingrid Soares, devs na TIVIT conversam com Juraci Paixão e Marylia Gutierrez da Grafana Labs sobre OpenTelemetry.

How can contract testing boost your efficiency? Stay tuned to find out!Contract testing is a hidden gem. It combines the strengths of unit tests and integration tests, allows for safe deployment, and promotes better team communication – but not many testers know about this game-changing approach.Marie Drake, Senior Developer Advocate at Grafana Labs, and Lewis Prescott, Test Specialist at IBM, put their great minds and collective experience together to write Contract Testing In Action; a book where readers get to know the ins and outs of contract testing.In this episode, Lewis & Marie explain contract testing and how it could improve testing efficiency by detecting communication problems early in the development cycle.❓What did you think of the show? Leave your anonymous feedback:https://forms.gle/Df5sDABiNMQn4YSj7CONNECT WITH LEWIS PRESCOTT

00:07 | OpenAI inks PwC deal01:16 | OpenAI inks deal with Grab02:07 | OpenAI data deal with The Atlantic, Vox Media03:13 | OpenAI ChatGPT Edu launches04:43 | Grafana Labs new funding round05:24 | Klarna profitable in Q106:53 | Mistral AI coming to US07:30 | Stripe's new UK products08:48 | Databricks' $1.6b revenue09:45 | Revolut and Africa11:01 | Epic Games following YouTube playbook12:53 | xAI's $24b valuation, 8th largest pre-IPO stock13:52 | CoreWeave 1H 2025 IPO15:17 | Canva cuts HP deal16:06 | Perplexity new round17:07 | Zhipu AI new round17:48 | Pre-IPO +0.87% for week, +40.83% for last 1yr18:30 | +0.94% 2024 Pre-IPO Stock Vintage Index

Do you know everything that's going on in your organisation?Today we're talking about Observability. It isn't just a buzzword; it is the evolution of application and network performance monitoring into a seamless way to measure your full systems health.As IT environments become more complicated, observability is crucial for pinpointing the root causes of issues, harnessing data and logs from every corner of your environment to ensure that your systems remain efficient, reliable, and customer-centric.Hosted by Ashleigh Baker, guest host and Team Leader in Softcat's Architecture Services, Ashleigh has the help of our experts, Tom Rowley – Chief Technologist for Networking and Connectivity, and Mat Ryer - Principal Engineer at Grafana Labs, we'll get more observant on the topic!This podcast is released on the last Tuesday of every month. Alternatively, you can stream or download all episodes from every season on your preferred platform or at softcat.com. Have you got a burning question for the team? Please send us an email to explainit@softcat.comThis podcast is produced by The Podcast Coach. Hosted on Acast. See acast.com/privacy for more information.

Niki Manoledaki and Stephanie Hingtgen from Grafana discuss their open source community roles and contributions toward environmental sustainability. Niki serves as a co-chair of the Green Reviews Working Group within the CNCF Environmental Sustainability Technical Advisory Group, focusing on promoting energy and carbon efficiency. Stephanie works on both the open source Grafana project and Grafana Cloud, emphasizing the value of contributing to open source. We discuss the importance of energy consumption metrics in technology, the use of Kubernetes for event-driven auto-scaling through KEDA, and efforts to enhance operational and environmental efficiency. Nkik and Stephanie share insights on scaling applications, the relationship between cost reduction and environmental sustainability, and introduce several projects like Karpenter and Kepler. 00:00 Introduction to Grafana's Community Engagement 01:40 Exploring Environmental Sustainability in Tech 04:30 Diving into Open Source Contributions and Projects 05:26 Scaling and Autoscaling: Insights and Challenges 12:56 Cost vs. Environmental Sustainability 19:06 Personal Journeys into Open Source Software 21:24 Closing Thoughts on Open Source and Sustainability Resources How Grafana Labs switched to Karpenter to reduce costs and complexities in Amazon EKS Guests Niki Manoledaki is a software engineer, environmental sustainability advocate, keynote speaker, meetup organiser, and community facilitator. She advocates for environmental sustainability in the CNCF as a Lead of the CNCF Environmental Sustainability TAG where she co-chairs the Green Reviews WG. Stephanie Hingtgen is a Senior Software Engineer II at Grafana Labs. As a member of the Grafana as a Service team, her focus has been on orchestrating thousands of Grafana instances in Kubernetes for Grafana Cloud. Her previous experience includes developing a private cloud platform to provision Kubernetes resources for engineers at Comcast.

Qualche settimana fa abbiamo registrato questo episodio di gitbar con Giordano Ricci, software engineer a Grafana Labs deve abbiamo parlato di observability e dintorni.## Supportaci suhttps://www.gitbar.it/support## Paese dei balocchi- https://www.oreilly.com/library/view/the-future-of/9781098118433/ - https://devlake.apache.org/ - https://www.youtube.com/watch?v=8owI4xBEIl0 - https://webproxytool.com/## Link amazon affiliatohttps://amzn.to/3XDznm1## Per favore ascoltaci usando una di queste app:https://podcastindex.org/apps## Contatti@brainrepo su twitter o via mail a https://gitbar.it.Le nostre tshirt:https://www.spreadshirt.it/shop/design/videoterminalista+metalmeccanico+maglietta+premium+uomo-D60dd75d8a30ff14b5e9bfbe1?sellable=5aaY1v4we3SeYEOlVXmx-812-7## CreditiLe sigle sono state prodotte da MondoComputazionaleLe musiche da Blan Kytt - RSPNSweet Lullaby by Agnese ValmaggiaMonkeys Spinning Monkeys by Kevin MacLeod

Matt Ray interviews Tom Wilkie, Grafana Labs CTO. They discuss the latest trends in Observability, Grafana's recent announcements and the state of OSS businesses . Plus, some ideas for your next 3D printing project. Show Links The Brewintosh (https://www.youtube.com/watch?v=7N9oz4Ylzm4) Prusa Mini v6 Hotend Adapter (https://www.printables.com/model/31006-prusa-mini-v6-hotend-adapter) Cortex (https://cortexmetrics.io) Prometheus (https://prometheus.io) Grafana Labs (https://grafana.com) OpenCost (https://www.opencost.io/blog/carbon-costs) GrafanaCON 2024 April 9-10 (https://grafana.com/about/events/grafanacon/2024/) Contact Tom Wilkie LinkedIn: tomwilkie (https://www.linkedin.com/in/tomwilkie/?originalSubdomain=uk) Twitter: @tom_wilkie (https://twitter.com/tom_wilkie?lang=en) GitHub: tomwilkie (https://github.com/tomwilkie) SDT News & Hype Join us in Slack (http://www.softwaredefinedtalk.com/slack). Get a SDT Sticker! Send your postal address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) and we will send you free laptop stickers! Follow us: Twitch (https://www.twitch.tv/sdtpodcast), Twitter (https://twitter.com/softwaredeftalk), Instagram (https://www.instagram.com/softwaredefinedtalk/), Mastodon (https://hachyderm.io/@softwaredefinedtalk), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk), Threads (https://www.threads.net/@softwaredefinedtalk) and YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured). Use the code SDT to get $20 off Coté's book, Digital WTF (https://leanpub.com/digitalwtf/c/sdt), so $5 total. Become a sponsor of Software Defined Talk (https://www.softwaredefinedtalk.com/ads)! Special Guest: Tom Wilkie.

OpenTelemetry is expanding beyond the traditional “three pillars of observability” and introduces a groundbreaking addition to its signals - Continuous Profiling. The new Profiling Special Interest Group (SIG) that was formed to lead the topic has already made significant advancements, to be featured at KubeCon Europe. Join us in this special panel episode of OpenObservability Talks as we explore the significance of this new dimension in understanding application behavior, optimizing performance, and gaining deeper insights into your systems. Our expert guests, Felix Geisendörfer and Ryan Perry, members of the OpenTelemetry Profiling SIG, share their insights into how Profiling enhances the OpenTelemetry framework, and update on the work for open specification and implementation.  This special episode hosts a panel of two distinguished members of OpenTelemetry's Profile SIG, and prominent members of the observability vendor ecosystem. Felix Geisendörfer is a Senior Staff Engineer at Datadog where he works on Continuous Profiling and contributes to the Go runtime. Before that he was working at Apple, co-founded Transloadit, contributed to node.js and inspired a generation of mad scientists to program flying robots with it. Ryan Perry is Principal Product Manager at Grafana Labs. He has built a career at various startups while actively contributing to open source projects and advancing open telemetry initiatives. Most recently he built Pyroscope, an open source continuous profiling project/company, which has been acquired by Grafana Labs. The episode was live-streamed on 7 March 2024 and the video is available at https://www.youtube.com/watch?v=iGM67RT12gQ OpenObservability Talks episodes are released monthly, on the last Thursday of each month and are available for listening on your favorite podcast app and on YouTube. We live-stream the episodes on Twitch and YouTube Live - tune in to see us live, and chime in with your comments and questions on the live chat.https://www.twitch.tv/openobservabilityhttps://www.youtube.com/@openobservabilitytalks   Show Notes: 00:00 - show intro 01:03 - episode and guests intro 04:02 - trends and advancements in the Profiling space 05:42 - from cost and performance into broader observability  11:27 - turning profile data into metrics 12:45 - runtime vs. full host profilers and eBPF use 18:44 - pprof JFR and other existing profile standards 21:19 - profile visualizations - from flame graphs to timeline view  22:37 - entrepreneur PoV on the profiling market 26:54 - OpenTelemetry adds profiles as a new signal 32:22 - OTel choosing a pprof extended standard   39:06 - discrete events vs. pre-aggregated data 41:09 - use cases for processing profiling data 44:19 - OTel Profiles reference implementation  49:11 - latest milestone and roadmap 54:44 - who's involved in OTel Profiles 56:41 - how to follow OTel Profiles and the guests 59:34 - March community events and conferences 1:00:38 - Falco and CloudEvents projects reached CNCF graduation   1:01:59 - Prometheus and Linkerd latest releases 1:03:29 - Netflix open-sources bpftop CLI for eBPF app performance monitoring 1:05:15 - show outro Resources: Continuous Profiling: A New Observability Signal (previous episode): https://logz.io/blog/continuous-profiling-new-observability-signal-in-opentelemetry/?utm_source=devrel&utm_medium=devrel  OpenTelemetry extension proposal for adding Profiles: https://github.com/open-telemetry/oteps/pull/239 OTel Profile SIG notes: https://docs.google.com/document/d/19UqPPPlGE83N37MhS93uRlxsP1_wGxQ33Qv6CDHaEp0/edit#heading=h.63a4klfdbcob eBPF adoption in observability - github stats: https://www.linkedin.com/feed/update/urn:li:activity:7171044354667585537/  ProfilerPedia: https://profilerpedia.markhansen.co.nz/  Netflix releases bpftop CLI tool: https://netflixtechblog.com/announcing-bpftop-streamlining-ebpf-performance-optimization-6a727c1ae2e5 OpenTelemetry announces support of Profiles at KubeCon Paris 2024: https://opentelemetry.io/blog/2024/profiling/ Socials: Twitter:⁠ https://twitter.com/OpenObserv⁠ YouTube: ⁠https://www.youtube.com/@openobservabilitytalks⁠ Dotan Horovits ============ Twitter: https://twitter.com/horovits  LinkedIn: https://www.linkedin.com/in/horovits/  Mastodon: @horovits@fosstodon.org Felix Geisendörfer =============== Twitter: https://twitter.com/felixge  LinkedIn: https://www.linkedin.com/in/felixg2/  Ryan Perry ========== Twitter: https://twitter.com/rperry_  Linkedin: https://www.linkedin.com/in/ryanaperry/ 

In this episode, we explore the integration of MongoDB with Grafana Cloud, unlocking the potential for centralized data monitoring and observability. Join Vijay Tolani from Grafana Labs as he walks through the ease of connecting MongoDB to Grafana Cloud, enabling a unified approach to monitor your database's health and performance. This session is perfect for anyone looking to streamline their data analytics and observability across multiple platforms. Discover how to create effective dashboards and gain comprehensive insights into your data, all in one place. Don't miss this opportunity to enhance your data management strategy with expert guidance.Resources:✅ Try Grafana with MongoDB → https://mdb.link/grafana✅ Try Atlas for Free → https://mdb.link/free-fLSrQ-dC-Ds✅ Get help on our Community Forums → https://mdb.link/community-fLSrQ-dC-Ds

Is browser-based load testing really worth it? How do you set up testing scenarios on k6.io? What are the most common mistakes you can make in software testing? Get answers and insights to these questions on this fantastic episode of the Test Automation Experience! Marie Cruz, Senior Developer Advocate at Grafana Labs' k6.io, returns for part two of our breakdown of front-end performance testing. With our host Nikolay Advolodkin, get an insider look into k6.io with demos on setting up and running scenarios for load testing, asynchronous operations and best practices for front-end performance testing. Stay informed, stay ahead with Test Automation Experience - your source for all things test automation!k6 Documentation - https://k6.io/docs/testing site: https://test.k6.io/Adobo & Avocados YT Channel - https://www.youtube.com/@adoboandavocadosCONNECT WITH MARIE CRUZ

Have you seen the new WebDrive.io BiDi protocol feature in action? What Can Copilot's Earliest Users Teach Us About Generative AI at Work? And how can ChatGpt be used as a test data generation tool? Find out in this episode of the Test Guild New Shows for the week of November 19. Sp Grab your favorite cup of coffee or tea, and let's do this. Time News Title Rocket Link 0:22 Applitoools FREE Account Offer https://applitools.info/joe  0:43 released NightwatchJS v3.3.0! https://testguild.me/mgfqxo 1:32 WebdriverIO Bidi protocol. https://testguild.me/4bow4s 2:32 Cloned repository https://testguild.me/a82v4k 4:52 Monday Morning Automation https://testguild.me/wqp8nx 5:30 Copilot's Earliest Users Report https://testguild.me/makggd 6:25 ChatGpt test data generation tool. https://testguild.me/wpudbe 7:48 software optimization, https://testguild.me/y0s2yw 8:19 Grafana Labs has acquired Asserts.ai, https://testguild.me/snzw82 8:53 OWASP Top 10 2023 for AI applications https://links.testguild.com/O497k

Our guest today is Douglas Hanna, Chief Operating Officer at Grafana Labs.  Grafana Labs is an observability stack built around Grafana, a leading open-source technology for dashboards and visualization. Douglas is a seasoned revenue leader, previously leading operations and GTM strategy at Zendesk. At Grafana Labs, Douglas has been instrumental in scaling GTM at the open-source company — building up both team headcount and its revenue model.  In our conversation today, Douglas dives deep into the process of bringing products to market at an open-source company. We explore the different facets of building and scaling a revenue model at an open-source company. Douglas opens up the GTM playbook at Grafana Labs sharing:  When to commercialize a feature vs. switch to a hosted version of a product Tried and tested frameworks for pricing and packaging  How Grafana Labs thinks about what to put behind a paywall  How the GTM team was built over time.,  You can follow Douglas on Twitter at @douglashanna. You can email us questions directly at review@firstround.com or follow us on Twitter @firstround and @brettberson.

Have you ever wondered how people find performance bottlenecks and improve them in complex systems? What tools and techniques work in real life applications? When should you stop optimizing? Well, this is the episode for you. Our first ever guest, Bryan Boreham from Grafana Labs, sits down with us and walks us over his experience of optimizing the popular open-source project Prometheus. Before the super insightful discussion on this topic, we cover the tech news from the week that got our attention. Show notes:Bryan Boreham - follow at @bborehamPrometheus - https://github.com/prometheus/prometheusDocker puts a stop to sunsetting their free team plans - https://www.docker.com/blog/no-longer-sunsetting-the-free-team-plan/ChatGPT announces plugins - https://openai.com/blog/chatgpt-pluginsGithub Copilot X is announced - https://github.blog/2023-03-22-github-copilot-x-the-ai-powered-developer-experience/As always, feedback and questions are welcomed! You can use this form - https://forms.gle/NmUGeqMtyP6H6mMP9

In this Planning Aces episode, host Jack Sweeney and guest host Ben Murray discuss the collaborative organizational effort behind generating business intelligence (BI) and the different places BI resources may reside within a business, with reference to an episode featuring Gary Zyla, CFO of AssetMark. The hosts also discuss the role of finance in enabling sales, the challenges faced by sales teams, and the importance of financial discipline and visibility in a company's financials, regardless of market conditions. The episode features insights from other finance leaders, including Teodora Gouneva, CFO of Next Insurance, and Wailun Chan, CFO of Grafana Labs.

In this Planning Aces episode, host Jack Sweeney and guest host Ben Murray discuss the collaborative organizational effort behind generating business intelligence (BI) and the different places BI resources may reside within a business, with reference to an episode featuring Gary Zyla, CFO of AssetMark. The hosts also discuss the role of finance in enabling sales, the challenges faced by sales teams, and the importance of financial discipline and visibility in a company's financials, regardless of market conditions. The episode features insights from other finance leaders, including Teodora Gouneva, CFO of Next Insurance, and Wailun Chan, CFO of Grafana Labs.

Nicole van der Hoeven is a Developer Advocate at Grafana Labs. She is also a communicator, sharing what she learns through her writing, conference presentations, and YouTube videos. The latter are what brought Nicole's work to my attention: she runs a YouTube channel focused on one of my favorite tools for thought, Obsidian. In this conversation, we focus on how Nicole uses Obsidian to “learn in public.”Show notesNicole van der HoevenNicole on MastodonNicole on YouTubepkm.socialGrafana labsObsidianPersonal knowledge management - WikipediaWork with the garage door upContinuous integration - WikipediaContinuous delivery - WikipediaScrintalRoam ResearchMarkdownGitHubTabletop role-playing game - WikipediaAndy PolaineAndy Polaine on Service Design – The Informed LifeWarbreaker by Brandon SandersonThe Martian by Andy WeirProject Hail Mary by Andy WeirShow notes include Amazon affiliate links. We get a small commission for purchases made through these links.If you're enjoying the show, please rate or review us in Apple's podcast directory:https://podcasts.apple.com/us/podcast/the-informed-life/id1450117117?itsct=podcast_box&itscg=30200

Madrona Managing Director Soma dives into the world of intelligent applications and generative AI with Common Room Co-founder and CTO Viraj Mody. Madrona first invested in Common Room in 2020 — and we had the pleasure of having the founders join us on Founded & Funded the following year. Common Room is an intelligent community growth platform that combines engagement data from platforms like LinkedIn, Slack, Twitter, Reddit, GitHub, and others with product usage and CRM data to surface insights from across an organization's entire user community. Customers like Figma, OpenAI, and Grafana Labs use Common Room to better understand their users and quickly identify the people, problems, and conversations that should matter most to those organizations. Soma and Viraj dive into the importance of deeply understanding the problem you're trying to solve as a startup — and how that will feed into your product iterations — why organizations need a 360-degree profile of their user base, how Common Room has utilized foundation models to build intelligence — not just generative intelligence — into its platform — and so much more.

No matter how many chapters Wailun Chan's finance career ultimately spans, the decade that he spent at LinkedIn will always stand out. It perhaps goes without saying that as a finance career investment, a 10-year resume stint is increasingly rare today, and it's not uncommon for a “decade investor” looking back on his or her lengthy tenure to launch one or two “If onlys,” as in “If only I had left 3 years sooner.”         Such is not the case for Wailun Chan, though, whose LinkedIn career spanned from 2010 to 2020 and overlapped a period during which the social media company's workforce grew from 400 to 16,000 employees as its annual revenues grew from roughly $100 million (pre-IPO) to nearly $10 billion. Chan's investment of career years at LinkedIn arguably represents a case of being in the right place at the right time with the right outcome, which eventually resulted in a CFO job offer that led the seasoned FP&A leader to exit the social media company. Still, what makes Chan's LinkedIn career chapter worthy of note to finance career builders is not necessarily its length or ultimate outcome but instead how he was unquestionably up to the challenges ahead even as he arrived at the firm. In fact, the finance resume of LinkedIn's new FP&A hire was already a dozen years long and included stints at GE Capital and Kraft Foods as well as a recently added business degree. Consequently, there's little reason to doubt that the LinkedIn recruiters who first eyeballed Chan knew instantly that they found their future FP&A leader. First of all, Chan tells us, he was tasked with helping the company to address a lopsided membership model that featured LinkedIn members outside of the U.S. accounting for 60 percent of the overall membership numbers while paying only about 30 percent of the worldwide membership fees. To support the effort, Chan was deployed as the company's first sales finance executive, a position that allowed him from the very start of his LinkedIn career to serve as a primary connection between the company's FP&A and business operations teams. “We looked at the data together and came up with a playbook outlining that if certain membership thresholds were hit, the inside sales team would get a signal to be led in, to be later followed by the enterprise sales team as other levels were reached,” comments Chan, who credits the “playbook” with influencing the decision-making that led the company to open 20-plus local offices within the next 2 years.    Reports Chan: “This playbook became a primary driver of the speed at which we were able to scale, and this scale enabled the hypergrowth that LinkedIn experienced between 2010 and 2012.” –Jack Sweeney

Episode SummaryFloor Drees, Staff Developer Advocate at Aiven, joins Corey on Screaming in the Cloud to discuss her journey into the world of open source and the opportunities she sees to improve developer relations. Floor and Corey dive into the pitfalls and opportunities of being a frequent speaker at events, and Floor shares some best practices to help be prepared for those opportunities. Floor also shares why she feels events should include hybrid remote attendance options, and the benefits of hosting local events to breathe life into new relationships within the developer community. Floor and Corey also discuss the complexities of maintaining an open-source project and what goes into keeping an open-source community healthy and thriving. About FloorFloor is a Staff Developer Advocate at Aiven, a company that manages your favorite open source data tools for you without exploiting the projects and their maintainers. Previously Floor worked in DevRel at Grafana Labs and Microsoft. She is a Devopsdays Core member, and organizes the Devopsdays Amsterdam and Eindhoven chapters. She is a Microsoft MVP for Developer Technologies, and organizes a bunch of meetups, including-but-not-limited-to contributing.today, DevRel Salon Amsterdam, and the Amsterdam Ruby Meetup. Floor is also an art school graduate, who stumbled into tech face-first.Links Referenced: Aiven: https://aiven.io floor.dev: https://floor.dev Mastodon: https://mastodon.lol/@floord Twitter: https://twitter.com/floordrees dev.to: https://dev.to/floord

Hunters and Unicorns shares the playbooks from leaders, founders, executives and investors from high growth technology companies. In this special edition series The 33 CXOs we investigate the greatest success story in the history of software sales.   Discover how thirty-three sales execs from one organisation, BladeLogic, became CXOs in the world's 100 fastest growing technology companies. We uncover the stories and playbooks of the most prolific sales leaders in the industry. In this episode we sit down with Graham Moreno, Regional Vice President, Central, Southeast, and LatAm at Grafana Labs to take a look back at his incredible career trajectory and discuss how his early indoctrination in the Playbook community at MongoDB shaped and influenced his leadership style today, enabling him to recognise the huge opportunity presented by Grafana Labs and play an incremental role in scaling this company from 30 to 1000 employees in just three and a half years. “They had almost $5 million in revenue. No salespeople, no customer success people, it was a team of very extraordinarily talented engineers and I just remember sitting at a bar with Raj and saying, " I think there's the opportunity to do something really amazing here." And he was like, "I do too, but I'm not a sales guy." After a couple of months, I joined and it's really been incredible.” Founded in 2014 by Raj Dutt, Torkel Ödegaard and Anthony Woods, Grafana Labs has not only experienced overwhelming growth in recent years, it has also been recognized for the second year in a row as one of America's best start-up employers. We ask Graham to guide us through his experience of scaling the hiring process from the bottom up at Grafana Labs and how he implemented structure in the early stages of development using the foundations of Playbook methodology to create a successful growth strategy based on both repetition and continual evolution. Offering advice and guidance to current and future leaders, Graham insists that it's not only the Playbook but the people and culture of Grafana Labs — which fosters transparency, autonomy, and accountability — that has proven to be the cornerstone of the company. No matter how big the organization gets or how fast it scales, leaders are dedicated to prioritising culture above revenue, staying true to company values and building long lasting relationships to improve communication and cultivate trust and respect. “With experience and maturity, I have learned to communicate a lot more effectively because as we've gotten bigger, it is so important that even if you disagree, you're able to do it in a way that is opening up a productive conversation and I don't think I was always awesome at that early on. I've had an opportunity to evolve - if you look at the most effective selling teams at Mongo and Grafana, it's the teams where customer success, engineering, and marketing are all onboard and working together and there's a really good environment in terms of how we're sharing knowledge and what we're able to bring to our customers as a result.” In this vodcast you will discover: The framework that enabled Graham to scale the Grafana Labs workforce from 30 to 1000 employees in record time How to maintain high performance throughout your career by surrounding yourself with astonishing talent and learning to accept feedback How to scale the hiring process through periods of rapid growth How to protect the culture of an organisation as it scales Graham Moreno understands exactly How to build a sales force to stand the test of time. We discuss key challenges and accomplishments from Graham's journey at Grafana Labs and what he believes to be the core ingredients needed for a company to reach unicorn status. This wide-ranging discussion is essential listening for those with an interest in sales strategy, as well as anyone with a passion for the technology space.

Querida tecnología: hoy hablamos de otro jugador en el ámbito de la observabilidad que tiene mucho que decir. ¿Conoces todo lo que puedes hacer hoy en día con Grafana? Siéntate y verás... Música: Aliaksei Yuknhevich - Background Ukulele Makesound - Ambient Motivational Inspirational

Why community is one of the best investments a company can make during an economic downturn. Community Industry News: Rachel Basoco joined Fidelity Investments as Digital Communities Advancement and Growth Director Jeffrey Roe joined DecisionLink as Senior Community Manager Manouska Jeantus joined Miro as Community Lead  Blake Ethridge joined Plex Systems as Community Manager Devan La Spisa was promoted to Manager, Community Engagement at Zendesk Lisa Wilberding joined Grafana Labs as Customer & Community Manager Christina Garnett was promoted to Principal Marketing Manager, Offline Community and Advocacy at HubSpot Daniele Bozzi was promoted to Community Manager at Personio Arielle Nissenblatt joined SquadCast.fm as Head of Community & Content  Mike Silberg joined NFX as Community Value Creator Olga Koenig joined mogenius as Community and Developer Relations Manager Monique van den Berg was promoted to Head of Online Communities at Atlassian James Dakota Monk joined Digits to lead community Joe Farrar was promoted to Community Manager at Matillion Community During a Downturn Doing More With Less: Community Is Good Business Brian on stage with Jon Wishart at CMX Summit 2022

About RichardRichard "RichiH" Hartmann is the Director of Community at Grafana Labs, Prometheus team member, OpenMetrics founder, OpenTelemetry member, CNCF Technical Advisory Group Observability chair, CNCF Technical Oversight Committee member, CNCF Governing Board member, and more. He also leads, organizes, or helps run various conferences from hundreds to 18,000 attendess, including KubeCon, PromCon, FOSDEM, DENOG, DebConf, and Chaos Communication Congress. In the past, he made mainframe databases work, ISP backbones run, kept the largest IRC network on Earth running, and designed and built a datacenter from scratch. Go through his talks, podcasts, interviews, and articles at https://github.com/RichiH/talks or follow him on Twitter at https://twitter.com/TwitchiH for musings on the intersection of technology and society.Links Referenced: Grafana Labs: https://grafana.com/ Twitter: https://twitter.com/TwitchiH Richard Hartmann list of talks: https://github.com/richih/talks 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: This episode is sponsored in part by our friends at AWS AppConfig. Engineers love to solve, and occasionally create, problems. But not when it's an on-call fire-drill at 4 in the morning. Software problems should drive innovation and collaboration, NOT stress, and sleeplessness, and threats of violence. That's why so many developers are realizing the value of AWS AppConfig Feature Flags. Feature Flags let developers push code to production, but hide that that feature from customers so that the developers can release their feature when it's ready. This practice allows for safe, fast, and convenient software development. You can seamlessly incorporate AppConfig Feature Flags into your AWS or cloud environment and ship your Features with excitement, not trepidation and fear. To get started, go to snark.cloud/appconfig. That's snark.cloud/appconfig.Corey: This episode is brought to us in part by our friends at Datadog. Datadog's SaaS monitoring and security platform that enables full stack observability for developers, IT operations, security, and business teams in the cloud age. Datadog's platform, along with 500 plus vendor integrations, allows you to correlate metrics, traces, logs, and security signals across your applications, infrastructure, and third party services in a single pane of glass.Combine these with drag and drop dashboards and machine learning based alerts to help teams troubleshoot and collaborate more effectively, prevent downtime, and enhance performance and reliability. Try Datadog in your environment today with a free 14 day trial and get a complimentary T-shirt when you install the agent.To learn more, visit datadoghq/screaminginthecloud to get. That's www.datadoghq/screaminginthecloudCorey: Welcome to Screaming in the Cloud, I'm Corey Quinn. There are an awful lot of people who are incredibly good at understanding the ins and outs and the intricacies of the observability world. But they didn't have time to come on the show today. Instead, I am talking to my dear friend of two decades now, Richard Hartmann, better known on the internet as RichiH, who is the Director of Community at Grafana Labs, here to suffer—in a somewhat atypical departure for the theme of this show—personal attacks for once. Richie, thank you for joining me.Richard: And thank you for agreeing on personal attacks.Corey: Exactly. It was one of your riders. Like, there have to be the personal attacks back and forth or you refuse to appear on the show. You've been on before. In fact, the last time we did a recording, I believe you were here in person, which was a long time ago. What have you been up to?You're still at Grafana Labs. And in many cases, I would point out that, wow, you've been there for many years; that seems to be an atypical thing, which is an American tech industry perspective because every time you and I talk about this, you look at folks who—wow, you were only at that company for five years. What's wrong with you—you tend to take the longer view and I tend to have the fast twitch, time to go ahead and leave jobs because it's been more than 20 minutes approach. I see that you're continuing to live what you preach, though. How's it been?Richard: Yeah, so there's a little bit of Covid brains, I think. When we talked in 2018, I was still working at SpaceNet, building a data center. But the last two-and-a-half years didn't really happen for many people, myself included. So, I guess [laugh] that includes you.Corey: No, no you're right. You've only been at Grafana Labs a couple of years. One would think I would check the notes for shooting my mouth off. But then, one wouldn't know me.Richard: What notes? Anyway, I've been around Prometheus and Grafana Since 2015. But it's like, real, full-time everything is 2020. There was something in between. Since 2018, I contracted to do vulnerability handling and everything for Grafana Labs because they had something and they didn't know how to deal with it.But no, full time is 2020. But as to the space in the [unintelligible 00:02:45] of itself, it's maybe a little bit German of me, but trying to understand the real world and trying to get an overview of systems and how they actually work, and if they are working correctly and as intended, and if not, how they're not working as intended, and how to fix this is something which has always been super important to me, in part because I just want to understand the world. And this is a really, really good way to automate understanding of the world. So, it's basically a work-saving mechanism. And that's why I've been sticking to it for so long, I guess.Corey: Back in the early days of monitoring systems—so we called it monitoring back then because, you know, are using simple words that lack nuance was sort of de rigueur back then—we wound up effectively having tools. Nagios is the one that springs to mind, and it was terrible in all the ways you would expect a tool written in janky Perl in the early-2000s to be. But it told you what was going on. It tried to do a thing, generally reach a server or query it about things, and when things fell out of certain specs, it screamed its head off, which meant that when you had things like the core switch melting down—thinking of one very particular incident—you didn't get a Nagios alert; you got 4000 Nagios alerts. But start to finish, you could wrap your head rather fully around what Nagios did and why it did the sometimes strange things that it did.These days, when you take a look at Prometheus, which we hear a lot about, particularly in the Kubernetes space and Grafana, which is often mentioned in the same breath, it's never been quite clear to me exactly where those start and stop. It always feels like it's a component in a larger system to tell you what's going on rather than a one-stop shop that's going to, you know, shriek its head off when something breaks in the middle of the night. Is that the right way to think about it? The wrong way to think about it?Richard: It's a way to think about it. So personally, I use the terms monitoring and observability pretty much interchangeably. Observability is a relatively well-defined term, even though most people won't agree. But if you look back into the '70s into control theory where the term is coming from, it is the measure of how much you're able to determine the internal state of a system by looking at its inputs and its outputs. Depending on the definition, some people don't include the inputs, but that is the OG definition as far as I'm aware.And from this, there flow a lot of things. This question of—or this interpretation of the difference between telling that, yes, something's broken versus why something's broken. Or if you can't ask new questions on the fly, it's not observability. Like all of those things are fundamentally mapped to this definition of, I need enough data to determine the internal state of whatever system I have just by looking at what is coming in, what is going out. And that is at the core the thing. Now, obviously, it's become a buzzword, which is oftentimes the fate of successful things. So, it's become a buzzword, and you end up with cargo culting.Corey: I would argue periodically, that observability is hipster monitoring. If you call it monitoring, you get yelled at by Charity Majors. Which is tongue and cheek, but she has opinions, made, nonetheless shall I say, frustrating by the fact that she is invariably correct in those opinions, which just somehow makes it so much worse. It would be easy to dismiss things she says if she weren't always right. And the world is changing, especially as we get into the world of distributed systems.Is the server that runs the app working or not working loses meaning when we're talking about distributed systems, when we're talking about containers running on top of Kubernetes, which turns every outage into a murder mystery. We start having distributed applications composed of microservices, so you have no idea necessarily where an issue is. Okay, is this one microservice having an issue related to the request coming into a completely separate microservice? And it seems that for those types of applications, the answer has been tracing for a long time now, where originally that was something that felt like it was sprung, fully-formed from the forehead of some God known as one of the hyperscalers, but now is available to basically everyone, in theory.In practice, it seems that instrumenting applications still one of the hardest parts of all of this. I tried hooking up one of my own applications to be observed via OTEL, the open telemetry project, and it turns out that right now, OTEL and AWS Lambda have an intersection point that makes everything extremely difficult to work with. It's not there yet; it's not baked yet. And someday, I hope that changes because I would love to interchangeably just throw metrics and traces and logs to all the different observability tools and see which ones work, which ones don't, but that still feels very far away from current state of the art.Richard: Before we go there, maybe one thing which I don't fully agree with. You said that previously, you were told if a service up or down, that's the thing which you cared about, and I don't think that's what people actually cared about. At that time, also, what they fundamentally cared about: is the user-facing service up, or down, or impacted? Is it slow? Does it return errors every X percent for requests, something like this?Corey: Is the site up? And—you're right, I was hand-waving over a whole bunch of things. It was, “Okay. First, the web server is returning a page, yes or no? Great. Can I ping the server?” Okay, well, there are ways of server can crash and still leave enough of the TCP/IP stack up or it can respond to pings and do little else.And then you start adding things to it. But the Nagios thing that I always wanted to add—and had to—was, is the disk full? And that was annoying. And, on some level, like, why should I care in the modern era how much stuff is on the disk because storage is cheap and free and plentiful? The problem is, after the third outage in a month because the disk filled up, you start to not have a good answer for well, why aren't you monitoring whether the disk is full?And that was the contributors to taking down the server. When the website broke, there were what felt like a relatively small number of reasonably well-understood contributors to that at small to midsize applications, which is what I'm talking about, the only things that people would let me touch. I wasn't running hyperscale stuff where you have a fleet of 10,000 web servers and, “Is the server up?” Yeah, in that scenario, no one cares. But when we're talking about the database server and the two application servers and the four web servers talking to them, you think about it more in terms of pets than you do cattle.Richard: Yes, absolutely. Yet, I think that was a mistake back then, and I tried to do it differently, as a specific example with the disk. And I'm absolutely agreeing that previous generation tools limit you in how you can actually work with your data. In particular, once you're with metrics where you can do actual math on the data, it doesn't matter if the disk is almost full. It matters if that disk is going to be full within X amount of time.If that disk is 98% full and it sits there at 98% for ten years and provides the service, no one cares. The thing is, will it actually run out in the next two hours, in the next five hours, what have you. Depending on this, is this currently or imminently a customer-impacting or user-impacting then yes, alert on it, raise hell, wake people, make them fix it, as opposed to this thing can be dealt with during business hours on the next workday. And you don't have to wake anyone up.Corey: Yeah. The big filer with massive amounts of storage has crossed the 70% line. Okay, now it's time to start thinking about that, what do you want to do? Maybe it's time to order another shelf of discs for it, which is going to take some time. That's a radically different scenario than the 20 gigabyte root volume on your server just started filling up dramatically; the rate of change is such that'll be full in 20 minutes.Yeah, one of those is something you want to wake people up for. Generally speaking, you don't want to wake people up for what is fundamentally a longer-term strategic business problem. That can be sorted out in the light of day versus, “[laugh] we're not going to be making money in two hours, so if I don't wake up and fix this now.” That's the kind of thing you generally want to be woken up for. Well, let's be honest, you don't want that to happen at all, but if it does happen, you kind of want to know in advance rather than after the fact.Richard: You're literally describing linear predict from Prometheus, which is precisely for this, where I can look back over X amount of time and make a linear prediction because everything else breaks down at scale, blah, blah, blah, to detail. But the thing is, I can draw a line with my pencil by hand on my data and I can predict when is this thing going to it. Which is obviously precisely correct if I have a TLS certificate. It's a little bit more hand-wavy when it's a disk. But still, you can look into the future and you say, “What will be happening if current trends for the last X amount of time continue in Y amount of time.” And that's precisely a thing where you get this more powerful ability of doing math with your data.Corey: See, when you say it like that, it sounds like it actually is a whole term of art, where you're focusing on an in-depth field, where salaries are astronomical. Whereas the tools that I had to talk about this stuff back in the day made me sound like, effectively, the sysadmin that I was grunting and pointing: “This is gonna fill up.” And that is how I thought about it. And this is the challenge where it's easy to think about these things in narrow, defined contexts like that, but at scale, things break.Like the idea of anomaly detection. Well, okay, great if normally, the CPU and these things are super bored and suddenly it gets really busy, that's atypical. Maybe we should look into it, assuming that it has a challenge. The problem is, that is a lot harder than it sounds because there are so many factors that factor into it. And as soon as you have something, quote-unquote, “Intelligent,” making decisions on this, it doesn't take too many false positives before you start ignoring everything it has to say, and missing legitimate things. It's this weird and obnoxious conflation of both hard technical problems and human psychology.Richard: And the breaking up of old service boundaries. Of course, when you say microservices, and such, fundamentally, functionally a microservice or nanoservice, picoservice—but the pendulum is already swinging back to larger units of complexity—but it fundamentally does not make any difference if I have a monolith on some mainframe or if I have a bunch of microservices. Yes, I can scale differently, I can scale horizontally a lot more easily, vertically, it's a little bit harder, blah, blah, blah, but fundamentally, the logic and the complexity, which is being packaged is fundamentally the same. More users, everything, but it is fundamentally the same. What's happening again, and again, is I'm breaking up those old boundaries, which means the old tools which have assumptions built in about certain aspects of how I can actually get an overview of a system just start breaking down, when my complexity unit or my service or what have I, is usually congruent with a physical piece, of hardware or several services are congruent with that piece of hardware, it absolutely makes sense to think about things in terms of this one physical server. The fact that you have different considerations in cloud, and microservices, and blah, blah, blah, is not inherently that it is more complex.On the contrary, it is fundamentally the same thing. It scales with users' everything, but it is fundamentally the same thing, but I have different boundaries of where I put interfaces onto my complexity, which basically allow me to hide all of this complexity from the downstream users.Corey: That's part of the challenge that I think we're grappling with across this entire industry from start to finish. Where we originally looked at these things and could reason about it because it's the computer and I know how those things work. Well, kind of, but okay, sure. But then we start layering levels of complexity on top of layers of complexity on top of layers of complexity, and suddenly, when things stop working the way that we expect, it can be very challenging to unpack and understand why. One of the ways I got into this whole space was understanding, to some degree, of how system calls work, of how the kernel wound up interacting with userspace, about how Linux systems worked from start to finish. And these days, that isn't particularly necessary most of the time for the care and feeding of applications.The challenge is when things start breaking, suddenly having that in my back pocket to pull out could be extremely handy. But I don't think it's nearly as central as it once was and I don't know that I would necessarily advise someone new to this space to spend a few years as a systems person, digging into a lot of those aspects. And this is why you need to know what inodes are and how they work. Not really, not anymore. It's not front and center the way that it once was, in most environments, at least in the world that I live in. Agree? Disagree?Richard: Agreed. But it's very much unsurprising. You probably can't tell me how to precisely grow sugar cane or corn, you can't tell me how to refine the sugar out of it, but you can absolutely bake a cake. But you will not be able to tell me even a third of—and I'm—for the record, I'm also not able to tell you even a third about the supply chain which just goes from I have a field and some seeds and I need to have a package of refined sugar—you're absolutely enabled to do any of this. The thing is, you've been part of the previous generation of infrastructure where you know how this underlying infrastructure works, so you have more ability to reason about this, but it's not needed for cloud services nearly as much.You need different types of skill sets, but that doesn't mean the old skill set is completely useless, at least not as of right now. It's much more a case of you need fewer of those people and you need them in different places because those things have become infrastructure. Which is basically the cloud play, where a lot of this is just becoming infrastructure more and more.Corey: Oh, yeah. Back then I distinctly remember my elders looking down their noses at me because I didn't know assembly, and how could I possibly consider myself a competent systems admin if I didn't at least have a working knowledge of assembly? Or at least C, which I, over time, learned enough about to know that I didn't want to be a C programmer. And you're right, this is the value of cloud and going back to those days getting a web server up and running just to compile Apache's httpd took a week and an in-depth knowledge of GCC flags.And then in time, oh, great. We're going to have rpm or debs. Great, okay, then in time, you have apt, if you're in the dev land because I know you are a Debian developer, but over in Red Hat land, we had yum and other tools. And then in time, it became oh, we can just use something like Puppet or Chef to wind up ensuring that thing is installed. And then oh, just docker run. And now it's a checkbox in a web console for S3.These things get easier with time and step by step by step we're standing on the shoulders of giants. Even in the last ten years of my career, I used to have a great challenge question that I would interview people with of, “Do you know what TinyURL is? It takes a short URL and then expands it to a longer one. Great, on the whiteboard, tell me how you would implement that.” And you could go up one side and down the other, and then you could add constraints, multiple data centers, now one goes offline, how do you not lose data? Et cetera, et cetera.But these days, there are so many ways to do that using cloud services that it almost becomes trivial. It's okay, multiple data centers, API Gateway, a Lambda, and a global DynamoDB table. Now, what? “Well, now it gets slow. Why is it getting slow?”“Well, in that scenario, probably because of something underlying the cloud provider.” “And so now, you lose an entire AWS region. How do you handle that?” “Seems to me when that happens, the entire internet's kind of broken. Do people really need longer URLs?”And that is a valid answer, in many cases. The question doesn't really work without a whole bunch of additional constraints that make it sound fake. And that's not a weakness. That is the fact that computers and cloud services have never been as accessible as they are now. And that's a win for everyone.Richard: There's one aspect of accessibility which is actually decreasing—or two. A, you need to pay for them on an ongoing basis. And B, you need an internet connection which is suitably fast, low latency, what have you. And those are things which actually do make things harder for a variety of reasons. If I look at our back-end systems—as in Grafana—all of them have single binary modes where you literally compile everything into a single binary and you can run it on your laptop because if you're stuck on a plane, you can't do any work on it. That kind of is not the best of situations.And if you have a huge CI/CD pipeline, everything in this cloud and fine and dandy, but your internet breaks. Yeah, so I do agree that it is becoming generally more accessible. I disagree that it is becoming more accessible along all possible axes.Corey: I would agree. There is a silver lining to that as well, where yes, they are fraught and dangerous and I would preface this with a whole bunch of warnings, but from a cost perspective, all of the cloud providers do have a free tier offering where you can kick the tires on a lot of these things in return for no money. Surprisingly, the best one of those is Oracle Cloud where they have an unlimited free tier, use whatever you want in this subset of services, and you will never be charged a dime. As opposed to the AWS model of free tier where well, okay, it suddenly got very popular or you misconfigured something, and surprise, you now owe us enough money to buy Belize. That doesn't usually lead to a great customer experience.But you're right, you can't get away from needing an internet connection of at least some level of stability and throughput in order for a lot of these things to work. The stuff you would do locally on a Raspberry Pi, for example, if your budget constrained and want to get something out here, or your laptop. Great, that's not going to work in the same way as a full-on cloud service will.Richard: It's not free unless you have hard guarantees that you're not going to ever pay anything. It's fine to send warning, it's fine to switch the thing off, it's fine to have you hit random hard and soft quotas. It is not a free service if you can't guarantee that it is free.Corey: I agree with you. I think that there needs to be a free offering where, “Well, okay, you want us to suddenly stop serving traffic to the world?” “Yes. When the alternative is you have to start charging me through the nose, yes I want you to stop serving traffic.” That is definitionally what it says on the tin.And as an independent learner, that is what I want. Conversely, if I'm an enterprise, yeah, I don't care about money; we're running our Superbowl ad right now, so whatever you do, don't stop serving traffic. Charge us all the money. And there's been a lot of hand wringing about, well, how do we figure out which direction to go in? And it's, have you considered asking the customer?So, on a scale of one to bank, how serious is this account going to be [laugh]? Like, what are your big concerns: never charge me or never go down? Because we can build for either of those. Just let's make sure that all of those expectations are aligned. Because if you guess you're going to get it wrong and then no one's going to like you.Richard: I would argue this. All those services from all cloud providers actually build to address both of those. It's a deliberate choice not to offer certain aspects.Corey: Absolutely. When I talk to AWS, like, “Yeah, but there is an eventual consistency challenge in the billing system where it takes”—as anyone who's looked at the billing system can see—“Multiple days, sometimes for usage data to show up. So, how would we be able to stop things if the usage starts climbing?” To which my relatively direct responses, that sounds like a huge problem. I don't know how you'd fix that, but I do know that if suddenly you decide, as a matter of policy, to okay, if you're in the free tier, we will not charge you, or even we will not charge you more than $20 a month.So, you build yourself some headroom, great. And anything that people are able to spin up, well, you're just going to have to eat the cost as a provider. I somehow suspect that would get fixed super quickly if that were the constraint. The fact that it isn't is a conscious choice.Richard: Absolutely.Corey: And the reason I'm so passionate about this, about the free space, is not because I want to get a bunch of things for free. I assure you I do not. I mean, I spend my life fixing AWS bills and looking at AWS pricing, and my argument is very rarely, “It's too expensive.” It's that the billing dimension is hard to predict or doesn't align with a customer's experience or prices a service out of a bunch of use cases where it'll be great. But very rarely do I just sit here shaking my fist and saying, “It costs too much.”The problem is when you scare the living crap out of a student with a surprise bill that's more than their entire college tuition, even if you waive it a week or so later, do you think they're ever going to be as excited as they once were to go and use cloud services and build things for themselves and see what's possible? I mean, you and I met on IRC 20 years ago because back in those days, the failure mode and the risk financially was extremely low. It's yeah, the biggest concern that I had back then when I was doing some of my Linux experimentation is if I typed the wrong thing, I'm going to break my laptop. And yeah, that happened once or twice, and I've learned not to make those same kinds of mistakes, or put guardrails in so the blast radius was smaller, or use a remote system instead. Yeah, someone else's computer that I can destroy. Wonderful. But that was on we live and we learn as we were coming up. There was never an opportunity for us, to my understanding, to wind up accidentally running up an $8 million charge.Richard: Absolutely. And psychological safety is one of the most important things in what most people do. We are social animals. Without this psychological safety, you're not going to have long-term, self-sustaining groups. You will not make someone really excited about it. There's two basic ways to sell: trust or force. Those are the two ones. There's none else.Corey: Managing shards. Maintenance windows. Overprovisioning. ElastiCache bills. I know, I know. It's a spooky season and you're already shaking. It's time for caching to be simpler. Momento Serverless Cache lets you forget the backend to focus on good code and great user experiences. With true autoscaling and a pay-per-use pricing model, it makes caching easy. No matter your cloud provider, get going for free at gomemento.co/screaming That's GO M-O-M-E-N-T-O dot co slash screamingCorey: Yeah. And it also looks ridiculous. I was talking to someone somewhat recently who's used to spending four bucks a month on their AWS bill for some S3 stuff. Great. Good for them. That's awesome. Their credentials got compromised. Yes, that is on them to some extent. Okay, great.But now after six days, they were told that they owed $360,000 to AWS. And I don't know how, as a cloud company, you can sit there and ask a student to do that. That is not a realistic thing. They are what is known, in the United States at least, in the world of civil litigation as quote-unquote, “Judgment proof,” which means, great, you could wind up finding that someone owes you $20 billion. Most of the time, they don't have that, so you're not able to recoup it. Yeah, the judgment feels good, but you're never going to see it.That's the problem with something like that. It's yeah, I would declare bankruptcy long before, as a student, I wound up paying that kind of money. And I don't hear any stories about them releasing the collection agency hounds against people in that scenario. But I couldn't guarantee that. I would never urge someone to ignore that bill and see what happens.And it's such an off-putting thing that, from my perspective, is beneath of the company. And let's be clear, I see this behavior at times on Google Cloud, and I see it on Azure as well. This is not something that is unique to AWS, but they are the 800-pound gorilla in the space, and that's important. Or as I just to mention right now, like, as I—because I was about to give you crap for this, too, but if I go to grafana.com, it says, and I quote, “Play around with the Grafana Stack. Experience Grafana for yourself, no registration or installation needed.”Good. I was about to yell at you if it's, “Oh, just give us your credit card and go ahead and start spinning things up and we won't charge you. Honest.” Even your free account does not require a credit card; you're doing it right. That tells me that I'm not going to get a giant surprise bill.Richard: You have no idea how much thought and work went into our free offering. There was a lot of math involved.Corey: None of this is easy, I want to be very clear on that. Pricing is one of the hardest things to get right, especially in cloud. And it also, when you get it right, it doesn't look like it was that hard for you to do. But I fix [sigh] I people's AWS bills for a living and still, five or six years in, one of the hardest things I still wrestle with is pricing engagements. It's incredibly nuanced, incredibly challenging, and at least for services in the cloud space where you're doing usage-based billing, that becomes a problem.But glancing at your pricing page, you do hit the two things that are incredibly important to me. The first one is use something for free. As an added bonus, you can use it forever. And I can get started with it right now. Great, when I go and look at your pricing page or I want to use your product and it tells me to ‘click here to contact us.' That tells me it's an enterprise sales cycle, it's got to be really expensive, and I'm not solving my problem tonight.Whereas the other side of it, the enterprise offering needs to be ‘contact us' and you do that, that speaks to the enterprise procurement people who don't know how to sign a check that doesn't have to commas in it, and they want to have custom terms and all the rest, and they're prepared to pay for that. If you don't have that, you look to small-time. When it doesn't matter what price you put on it, you wind up offering your enterprise tier at some large number, it's yeah, for some companies, that's a small number. You don't necessarily want to back yourself in, depending upon what the specific needs are. You've gotten that right.Every common criticism that I have about pricing, you folks have gotten right. And I definitely can pick up on your fingerprints on a lot of this. Because it sounds like a weird thing to say of, “Well, he's the Director of Community, why would he weigh in on pricing?” It's, “I don't think you understand what community is when you ask that question.”Richard: Yes, I fully agree. It's super important to get pricing right, or to get many things right. And usually the things which just feel naturally correct are the ones which took the most effort and the most time and everything. And yes, at least from the—like, I was in those conversations or part of them, and the one thing which was always clear is when we say it's free, it must be free. When we say it is forever free, it must be forever free. No games, no lies, do what you say and say what you do. Basically.We have things where initially you get certain pro features and you can keep paying and you can keep using them, or after X amount of time they go away. Things like these are built in because that's what people want. They want to play around with the whole thing and see, hey, is this actually providing me value? Do I want to pay for this feature which is nice or this and that plugin or what have you? And yeah, you're also absolutely right that once you leave these constraints of basically self-serve cloud, you are talking about bespoke deals, but you're also talking about okay, let's sit down, let's actually understand what your business is: what are your business problems? What are you going to solve today? What are you trying to solve tomorrow?Let us find a way of actually supporting you and invest into a mutual partnership and not just grab the money and run. We have extremely low churn for, I would say, pretty good reasons. Because this thing about our users, our customers being successful, we do take it extremely seriously.Corey: It's one of those areas that I just can't shake the feeling is underappreciated industry-wide. And the reason I say that this is your fingerprints on it is because if this had been wrong, you have a lot of… we'll call them idiosyncrasies, where there are certain things you absolutely will not stand for, and misleading people and tricking them into paying money is high on that list. One of the reasons we're friends. So yeah, but I say I see your fingerprints on this, it's yeah, if this hadn't been worked out the way that it is, you would not still be there. One other thing that I wanted to call out about, well, I guess it's a confluence of pricing and logging in the rest, I look at your free tier, and it offers up to 50 gigabytes of ingest a month.And it's easy for me to sit here and compare that to other services, other tools, and other logging stories, and then I have to stop and think for a minute that yeah, discs have gotten way bigger, and internet connections have gotten way faster, and even the logs have gotten way wordier. I still am not sure that most people can really contextualize just how much logging fits into 50 gigs of data. Do you have any, I guess, ballpark examples of what that looks like? Because it's been long enough since I've been playing in these waters that I can't really contextualize it anymore.Richard: Lord of the Rings is roughly five megabytes. It's actually less. So, we're talking literally 10,000 Lord of the Rings, which you can just shove in us and we're just storing this for you. Which also tells you that you're not going to be reading any of this. Or some of it, yes, but not all of it. You need better tooling and you need proper tooling.And some of this is more modern. Some of this is where we actually pushed the state of the art. But I'm also biased. But I, for myself, do claim that we did push the state of the art here. But at the same time you come back to those absolute fundamentals of how humans deal with data.If you look back basically as far as we have writing—literally 6000 years ago, is the oldest writing—humans have always dealt with information with the state of the world in very specific ways. A, is it important enough to even write it down, to even persist it in whatever persistence mechanisms I have at my disposal? If yes, write a detailed account or record a detailed account of whatever the thing is. But it turns out, this is expensive and it's not what you need. So, over time, you optimize towards only taking down key events and only noting key events. Maybe with their interconnections, but fundamentally, the key events.As your data grows, as you have more stuff, as this still is important to your business and keeps being more important to—or doesn't even need to be a business; can be social, can be whatever—whatever thing it is, it becomes expensive, again, to retain all of those key events. So, you turn them into numbers and you can do actual math on them. And that's this path which you've seen again, and again, and again, and again, throughout humanity's history. Literally, as long as we have written records, this has played out again, and again, and again, and again, for every single field which humans actually cared about. At different times, like, power networks are way ahead of this, but fundamentally power networks work on metrics, but for transient load spike, and everything, they have logs built into their power measurement devices, but those are only far in between. Of course, the main thing is just metrics, time-series. And you see this again, and again.You also were sysadmin in internet-related all switches have been metrics-based or metrics-first for basically forever, for 20, 30 years. But that stands to reason. Of course the internet is running at by roughly 20 years scale-wise in front of the cloud because obviously you need the internet because as you wouldn't be having a cloud. So, all of those growing pains why metrics are all of a sudden the thing, “Or have been for a few years now,” is basically, of course, people who were writing software, providing their own software services, hit the scaling limitations which you hit for Internet service providers two decades, three decades ago. But fundamentally, you have this complete system. Basically profiles or distributed tracing depending on how you view distributed tracing.You can also argue that distributed tracing is key events which are linked to each other. Logs sit firmly in the key event thing and then you turn this into numbers and that is metrics. And that's basically it. You have extremes at the and where you can have valid, depending on your circumstances, engineering trade-offs of where you invest the most, but fundamentally, that is why those always appear again in humanity's dealing with data, and observability is no different.Corey: I take a look at last month's AWS bill. Mine is pretty well optimized. It's a bit over 500 bucks. And right around 150 of that is various forms of logging and detecting change in the environment. And on the one hand, I sit here, and I think, “Oh, I should optimize that,” because the value of those logs to me is zero.Except that whenever I have to go in and diagnose something or respond to an incident or have some forensic exploration, they then are worth an awful lot. And I am prepared to pay 150 bucks a month for that because the potential value of having that when the time comes is going to be extraordinarily useful. And it basically just feels like a tax on top of what it is that I'm doing. The same thing happens with application observability where, yeah, when you just want the big substantial stuff, yeah, until you're trying to diagnose something. But in some cases, yeah, okay, then crank up the verbosity and then look for it.But if you're trying to figure it out after an event that isn't likely or hopefully won't recur, you're going to wish that you spent a little bit more on collecting data out of it. You're always going to be wrong, you're always going to be unhappy, on some level.Richard: Ish. You could absolutely be optimizing this. I mean, for $500, it's probably not worth your time unless you take it as an exercise, but outside of due diligence where you need specific logs tied to—or specific events tied to specific times, I would argue that a lot of the problems with logs is just dealing with it wrong. You have this one extreme of full-text indexing everything, and you have this other extreme of a data lake—which is just a euphemism of never looking at the data again—to keep storage vendors happy. There is an in between.Again, I'm biased, but like for example, with Loki, you have those same label sets as you have on your metrics with Prometheus, and you have literally the same, which means you only index that part and you only extract on ingestion time. If you don't have structured logs yet, only put the metadata about whatever you care about extracted and put it into your label set and store this, and that's the only thing you index. But it goes further than just this. You can also turn those logs into metrics.And to me this is a path of optimization. Where previously I logged this and that error. Okay, fine, but it's just a log line telling me it's HTTP 500. No one cares that this is at this precise time. Log levels are also basically an anti-pattern because they're just trying to deal with the amount of data which I have, and try and get a handle on this on that level whereas it would be much easier if I just counted every time I have an HTTP 500, I just up my counter by one. And again, and again, and again.And all of a sudden, I have literally—and I did the math on this—over 99.8% of the data which I have to store just goes away. It's just magic the way—and we're only talking about the first time I'm hitting this logline. The second time I'm hitting this logline is functionally free if I turn this into metrics. It becomes cheap enough that one of the mantras which I have, if you need to onboard your developers on modern observability, blah, blah, blah, blah, blah, the whole bells and whistles, usually people have logs, like that's what they have, unless they were from ISPs or power companies, or so; there they usually start with metrics.But most users, which I see both with my Grafana and with my Prometheus [unintelligible 00:38:46] tend to start with logs. They have issues with those logs because they're basically unstructured and useless and you need to first make them useful to some extent. But then you can leverage on this and instead of having a debug statement, just put a counter. Every single time you think, “Hey, maybe I should put a debug statement,” just put a counter instead. In two months time, see if it was worth it or if you delete that line and just remove that counter.It's so much cheaper, you can just throw this on and just have it run for a week or a month or whatever timeframe and done. But it goes beyond this because all of a sudden, if I can turn my logs into metrics properly, I can start rewriting my alerts on those metrics. I can actually persist those metrics and can more aggressively throw my logs away. But also, I have this transition made a lot easier where I don't have this huge lift, where this day in three months is to be cut over and we're going to release the new version of this and that software and it's not going to have that, it's going to have 80% less logs and everything will be great and then you missed the first maintenance window or someone is ill or what have you, and then the next Big Friday is coming so you can't actually deploy there. I mean Black Friday. But we can also talk about deploying on Fridays.But the thing is, you have this huge thing, whereas if you have this as a continuous improvement process, I can just look at, this is the log which is coming out. I turn this into a number, I start emitting metrics directly, and I see that those numbers match. And so, I can just start—I build new stuff, I put it into a new data format, I actually emit the new data format directly from my code instrumentation, and only then do I start removing the instrumentation for the logs. And that allows me to, with full confidence, with psychological safety, just move a lot more quickly, deliver much more quickly, and also cut down on my costs more quickly because I'm just using more efficient data types.Corey: I really want to thank you for spending as much time as you have. If people want to learn more about how you view the world and figure out what other personal attacks they can throw your way, where's the best place for them to find you?Richard: Personal attacks, probably Twitter. It's, like, the go-to place for this kind of thing. For actually tracking, I stopped maintaining my own website. Maybe I'll do again, but if you go on github.com/ritchieh/talks, you'll find a reasonably up-to-date list of all the talks, interviews, presentations, panels, what have you, which I did over the last whatever amount of time. [laugh].Corey: And we will, of course, put links to that in the [show notes 00:41:23]. Thanks again for your time. It's always appreciated.Richard: And thank you.Corey: Richard Hartmann, Director of Community at Grafana Labs. 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 insulting comment. And then when someone else comes along with an insulting comment they want to add, we'll just increment the counter by one.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.Announcer: This has been a HumblePod production. Stay humble.

Zadbanie o UX jest niezbędne, aby produkt w pełni odpowiadał oczekiwaniom użytkowników. Nawet najlepszy pomysł oraz najbardziej doświadczony zespół mogą nie wystarczyć, jeżeli pominięte zostaną doświadczenia użytkownika. Nieintuicyjna obsługa, brak pewnych opcji, mało przyjazny design – to wszystko może zniechęcać odbiorców i w konsekwencji uniemożliwiać osiągnięcie założonych celów biznesowych. Duże organizacje nie mogą sobie pozwolić na takie zaniedbanie, dlatego kładą coraz większy nacisk na rozwój UX designu w swoich strukturach. Zaopiekowanie się UXem jest celną inwestycją: pozwala efektywniej wykonywać zadania i poprawia satysfakcję z pracy. Pojawia się jednak pytanie: jak to zrobić w wielkich organizacjach? Jakie wyzwania i problemy pojawiają się w dużych zespołach projektowych? Jak wypracować strukturę i model działania zespołu? Na co zwrócić uwagę gdy dołącza się do zespołu UX w dużej firmie? Czy takie miejsce jest dobrym pomysłem również dla osób początkujących? Na te i wiele innych pytań odpowie Łukasz Tyrała, wykładowca i mentor na Uniwersytecie SWPS w Warszawie oraz projektant i badacz w Grafana Labs. Spotkanie poprowadzi Tomasz Skórski. Strefa Designu Uniwersytetu SWPS to projekt popularyzujący wiedzę z zakresu projektowania: produktów, architektury, wnętrz, mody i komunikacji. Pokazuje, czym jest dobre projektowanie i w jaki sposób realizuje ono konkretne potrzeby użytkowników. Więcej informacji o projekcie: https://web.swps.pl/strefa-designu

Episode #18 of "Can I get that software in blue?", a podcast by and for people engaged in technology sales. If you are in the technology presales, solution architecture, sales, support or professional services career paths then this show is for you! Your hosts Steve Mayzak and Chad Tindel are joined by Gaurav Gupta, General Partner at Lightspeed Venture Partners where's led investments into notable tech companies such as Grafana Labs, Clickhouse, Hasura and others. Before joining Lightspeed, Gaurav was VP of Product at Elastic and Splunk. Gaurav goes pretty deep into what it's like to move into the Venture Capital space, and his process for how he decides to invest in a founder/company and how that varies at the different company stages (Seed, Series A, Series B). Also he gives us some real talk on the current state of the VC world during the current pull back. Contact us on Twitter or LinkedIn to suggest companies or tech news articles worthy of the podcast! Our website: https://softwareinblue.com Twitter: https://twitter.com/softwareinblue LinkedIn: https://www.linkedin.com/showcase/softwareinblue Make sure to subscribe or follow us to get notified about our upcoming episodes: Youtube: https://www.youtube.com/channel/UC8qfPUKO_rPmtvuB4nV87rg Apple Podcasts: https://podcasts.apple.com/us/podcast/can-i-get-that-software-in-blue/id1561899125 Spotify: https://open.spotify.com/show/25r9ckggqIv6rGU8ca0WP2 Stitcher: https://www.stitcher.com/podcast/can-i-get-that-software-in-blue Links mentioned in the episode: Facebook slashes eng hiring plans by 30%: https://ground.news/article/meta-slashes-hiring-plans-girds-for-fierce-headwinds_02b3f1

The Chief Future Officer Podcast is proud to have Wailun Chan with us. Wailun is the CFO of Grafana Labs and serves on the Global Glimpse Board of Directors. Prior to Grafana Labs, he was the CFO of Plastiq and held senior management roles at LinkedIn and Electronic Arts. Having led various finance divisions & steered LinkedIn's team through its IPO, few are as well-equipped to discuss good strategies for hard times. Tune in for invaluable insights on how finance systems change as businesses scale, and actionable advice for professionals at each stage of their career.

Note: This episode contains a couple of curse words. If you have sensitive ears nearby, maybe save it for later.In this special episode, Grafana Labs' founders Raj Dutt, Anthony Woods, and Torkel Ödegaard answered a wide range of questions about the past, present, and future of the company — and how the people behind the products have always been the driving force behind its success. Recorded live at GrafanaFest, the company-wide event that brought together more than 600+ Grafanistas from around the world in Whistler, British Columbia, Raj reminded everyone who was gathered, "we're in this together. We are building relationships that are going to last beyond this company, whatever our personal journeys are."

Od marketingu cez operations, tech recruiting až po programovanie. Aj taká cesta môže viesť k ideálnej práci v IT. Presne po nej sa vydala Ivana Hučková, ktorá dnes pracuje ako softvérová inžinierka v Grafana Labs. Programovať a rozumieť technológiám sa učila online v Bloom Institute of Technology. Rozprávali sme sa o tom, ako sa jej po skončení intenzívneho štúdia podarilo preukázať schopnosti na prvých pohovoroch a po akom čase sa začala vo svojej technickej roli cítiť komfortne. Vysvetlila nám aj to, ako dokáže v programovaní uplatniť svoju kreativitu a zabaviť sa pri výrobe najrôznejších domácich monitorovacích zariadení. V podcaste s Ivanou sa dozviete: - ako naplánovať a zvládnuť radikálnu zmenu kariéry, - čo pomáha, keď sa objaví strach a pochybnosti, - z čoho vyskladať portfólio pred prvým pohovorom, - ako vyzerá deň programátorky pracujúcej na diaľku, - prečo je programovanie kreatívna a zábavná práca. Nechajte sa inšpirovať ďalšou úžasnou ženou z tech sveta. :) Diskusiu moderuje Mirka Uhnak, CEO Mini Tech MBA.

Darren Murph, Head of Remote at GitLab and author of Living the Remote Dream, joins host Matt Toback to discuss all the advantages of adopting a remote work culture and, in turn, creating a more positive, results-only environment. "There shouldn't be a focus on availability and visibility," says Darren. "The idea is that we focus on the results. We care a lot less about how you get there, or the clothes you wear while you're doing it, or at what time of the day or week you accomplish it." Luckily, they also won't care if you take time to listen to this episode and learn more about the personal benefits of remote work and how you can advocate for this shift in your workplace. Added bonus: Instead of all those "This-could've-been-an-email" meetings, your in-person gatherings will quickly become more productive and meaningful. 

Three times a year, Grafanistas can take a week away from their day jobs and invest their creative energy into a company-wide hackathon. In this episode, winners from the recent Grafana Labs hackathons share what motivated their teams to deliver successful projects. (It's not just the prize money—though that helps.) You'll also learn more about the judging process and which projects landed on the product roadmap.

On this week's episode of Product Marketing Life, host Mark Assini is joined by Farhan Manjiyani, Product Marketing Manager at Grafana Labs.The pair discuss what successful enablement looks like, what enablement material should be built and who should own its creation, common mistakes product marketers make when approaching enablement, and finally, Farhan's framework for enablement success

On this week's episode of Product Marketing Life, host Mark Assini is joined by Farhan Manjiyani, Product Marketing Manager at Grafana Labs. The pair discuss what successful enablement looks like, what enablement material should be built and who should own its creation, common mistakes product marketers make when approaching enablement, and finally, Farhan's framework for enablement success. 

Most companies, especially big ones, have a lot of data. As a business leader, you need to be able to pull it all together and make it accessible to everyone in your organization to maximize its usefulness.Grafana Labs is an open-source analytics platform and interactive visualization web application. Grafana takes a unique approach to providing a "single-pane-of-glass" by unifying your existing data, wherever it lives. As a result, it helps to facilitate a culture where data can easily be used and accessed by the people that need it.In this episode of Reverse Engineered, Douglas Hanna, the COO of Grafana Labs, explains why it's important to use the OKR framework. Douglas and our host Jon Penland also discuss how to deal with adversity, find the right balance, and do a productive job.Check out more shows at https://kinsta.com/podcast/scale-operations-in-fast-growing-companies/ 

Guest Jessica Müller Panelists Django Skorupa | Memo Esparza | Eriol Fox Show Notes Hello and welcome to Sustain Open Source Design! The podcast where we talk about sustaining open source with design. Learn how we, as designers, interface with open source in a sustainable way, how we integrate into different communities, and how we as coders, work with other designers. Today, we are joined by Jessica Müller, who's the Senior UX Designer at Grafana Labs, where she leads the design efforts to make Grafana's Alerting feature as user-friendly as possible. Our discussions today involve learning more about Grafana, what it means to design in an open source way for real, how Jessica got her start in open source, and what led her into working at Grafana. We also find out how Jessica encourages collaboration between the community team and UX designers, and if you're just getting started in open source and want to find out how you can start to contribute, Jessica shares some helpful tips. Go ahead and download this episode now to learn more! [00:01:27] Jessica explains what it means to design in an open source way for real. [00:02:55] We hear how Jessica started thinking about open source, how it worked out for her in her creative career and led her into working at Grafana. [00:06:28] When Jessica is seeking a specific contribution, we learn how she goes about that with reaching out and if there's a specific user base or an existing client base. [00:10:11] Eriol wonders if Jessica thinks that the users that pay for Grafana value design more because of how they pay, if she thinks they engage more with it because they pay, and if she's noticed anything different between the open source folks and how they value design. [00:14:41] Memo asks if Jessica has a structured a way to plan new engagements with Grafana Labs, and she explains their culture of experimentation. [00:17:13] As a designer, how does Jessica go about encouraging the collaboration between the community team and the UX designers? [00:22:16] Jessica talks about the ratio of UX to engineer at Grafana and their approach to balance things out. [00:27:16] Jessica shares some things that have helped the engineers feel well supported when they tackle the UX problems. [00:29:12] Memo wonders how the open source way is for Grafana and if Jessica thinks every organization should have an open source way or if there should be more standardized contribution guidelines for designers. [00:32:00] If you're a designer and want to get started in open source but you're not sure how you can start to contribute, Jessica shares some suggestions on what might help, and she tells us what collaboration looked like when she started at Grafana. [00:42:18] Find out where you can follow Jessica online. Quotes [00:14:04] “How can we be part of the same spirit?” [00:23:04] “All of the engineers are doing UX work whether I like that or not!” [00:28:21] “Having a place to send people to show their stuff and talk to someone about it is already so helpful.” Spotlight [00:38:22] Jessica's spotlight is Scribus. [00:39:40] Memo's spotlight is humaaans. [00:40:27] Eriol's spotlight is the COSCUP event. [00:41:34] Django's spotlight is UI Colors. Links Open Source Design Twitter (https://twitter.com/opensrcdesign) Open Source Design (https://opensourcedesign.net/) Sustain Design & UX working group (https://discourse.sustainoss.org/t/design-ux-working-group/348) SustainOSS Discourse (https://discourse.sustainoss.org/) Sustain Open Source Twitter (https://twitter.com/sustainoss?lang=en) Richard Littauer Twitter (https://twitter.com/richlitt?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) Eriol Fox Twitter (https://twitter.com/EriolDoesDesign?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) Memo Esparza Twitter (https://twitter.com/memo_es_) Django Skorupa Twitter (https://twitter.com/djangoskorupa) Jessica Müller Twitter (https://twitter.com/jessover9000) Jessica Müller email (mailto:jessica.muller@grafana.com) Jessica Müller Website (https://www.jessdesigns.it/) Jessica Müller LinkedIn (https://www.linkedin.com/in/jessica-m%C3%BCller-69931aa7/) Grafana Labs (https://grafana.com/) Scribus (https://www.scribus.net/) humaaans (https://www.humaaans.com/) COSCUP 2022 (https://coscup.org/2022/en/landing) UI Colors (https://uicolors.app/create) Credits Produced by Richard Littauer (https://www.burntfen.com/) Edited by Paul M. Bahr at Peachtree Sound (https://www.peachtreesound.com/) Show notes by DeAnn Bahr Peachtree Sound (https://www.peachtreesound.com/) Special Guest: Jessica Müller.

Careers in tech can be a means of security, wealth, professional development, opportunity, and more. But women in tech have a unique experience. What is it like leading (and thriving) at a high-growth tech startup? Roshni Sondhi, VP of Customer Experience at Grafana Labs, shares how working at a high-growth tech startup does not require deprioritizing other aspects of life. We discuss ruthless prioritising, setting boundaries at work, negotiations, and explore the question: is being called ‘ambitious' a good thing? Follow us on Instagram: @ialsopodcast & Twitter: @IAlsoPodcastSpeaker Bio: Roshni Sondhi leads the Customer Experience organization at Grafana Labs, which includes professional services, customer success, technical Support and customer education. Her team is responsible for ensuring customers have a great experience from implementation through many years of renewals. Roshni has spent the last 15 years at technology companies, including joining Zendesk pre-IPO, and has focused on the post-sales experience. She enjoys cooking, travelling, and spending time with her family.Grafana Labs is a is a multi-platform open source analytics and interactive visualisation web application that provides charts, graphs, and alerts for the web when connected to supported data sources. The startup closed a $240M Series D round in April with GIC, Singapore's sovereign wealth fund as the lead investor. Other investors include J.P. Morgan, Sequoia Capital, Coatue, Lightspeed Venture Partners and Lead Edge Capital.Follow Roshni on LinkedInFollow Grafana on LinkedIn and Twitter

Grafana Mimir maintainers have taken over the mic! Marco Pracucci and Cyril Tovena —both software engineers at Grafana Labs — will give you the origin story behind Grafana Mimir, the most scalable, most performant open source time series database in the world. Plus: learn what new features will be coming to Mimir soon and find out the other Norse name the team considered for the project.

Discover why service level objectives are buzzworthy and changing how we do business. Special guests include Parca software engineer Matthias Loibl, who co-created the open source SLO software Pyrra with Nadine Vehling, and Grafana Labs principal software engineer Bjorn "Beorn" Rabenstein, who we are trying to clone for the good of everyone's observability strategies. References discussed in this episode:Google's SRE siteGoogle's SRE book (SLOs are in Chapter 5)Alerting on SLOs at Soundcloud blog post by Beorn Rabenstein"Should SLOs be request-based or time-based? Why neither works" at SLOconf presented by Beorn RabensteinHow to include latency in alert-based SLOs by Beorn RabensteinImplementing service level objectivesPyrra project co-founded by Matthias Loibl and Nadine Vehling

This week we discuss Dagger's Launch, Employee Tacking and Executive Compensation. Plus, some thoughts on beans and broccoli… Register here to be invited to future Software Defined Meetups (https://docs.google.com/forms/d/1HabWg2nxKf2-qAavMSihlHbACjpr-qVDJFeBTKAJZJQ/edit) Rundown Dagger Introducing Dagger: a new way to create CI/CD pipelines (https://dagger.io/blog/public-launch-announcement) Docker founder Solomon Hykes launches Dagger, a new DevOps startup (https://techcrunch.com/2022/03/30/docker-founder-launches-dagger-a-new-devops-platform/) CUE (https://cuelang.org/) Intel CEO Pat Gelsinger earned $178.6M in 2021 (https://twitter.com/Techmeme/status/1509472069804716034) Goldman Sachs is tracking ID swipes so it can crack down on employees who are breaking its return-to-office rules. Here's what happens to those who don't show up enough. (https://www.businessinsider.com/goldman-sachs-is-tracking-swipes-to-get-people-back-rto-2022-3) Relevant to your Interests On Postgres Container Apps. Behold Smooshing: database meet app platform, app platform meet database. (https://redmonk.com/jgovernor/2022/03/31/on-postgres-container-apps-behold-smooshing-database-meet-app-platform-app-platform-meet-database/) Update on “reader” app distribution (https://developer.apple.com/news/?id=grjqafts) Why Apple Is Preparing to Let You Subscribe to Your iPhone (https://www.bloomberg.com/news/newsletters/2022-04-03/will-i-be-able-to-subscribe-to-my-apple-aapl-iphone-and-pay-monthly-l1jc5o3e) Tinybird adds $37 million to run realtime analytics APIs for you (https://techcrunch.com/2022/04/05/tinybird-adds-37-million-to-run-realtime-analytics-apis-for-you/?tpcc=tcplustwitter&guccounter=1&guce_referrer=aHR0cHM6Ly90LmNvLw&guce_referrer_sig=AQAAAM6DbR0JNAhQ2Rv4GtlcllLuggWg2oYNbvCCwzAQ8XySmAM6W8JsJB5QZFYKELlABHfhkjv-SXS4YetXpmgIp0y1MfitJPfDZEwy3yW172Lvu51o_ReSpNixBd1ugWwg-mdixhwkw4i1WM1j8axSwYiOVI4XQrjGNhcjV4xjRcUS) Skillsoft and Codecademy: Equipping today's workforce with the skills for tomorrow (https://www.skillsoft.com/blog/skillsoft-and-codecademy-equipping-todays-workforce-with-the-skills-for-tomorrow) A guide to pronouncing names of global tech companies (https://restofworld.org/2022/global-tech-company-pronunciation-guide/) Google now requires two staff to sign off each Go change (https://www.theregister.com/2022/04/05/google_go_double_sign_off/) Scaling Kubernetes to Over 4k Nodes and 200k Pods (https://medium.com/paypal-tech/scaling-kubernetes-to-over-4k-nodes-and-200k-pods-29988fad6ed) Grafana Labs announces $240 million Series D round led by GIC and welcomes new investor (https://grafana.com/blog/2022/04/06/grafana-labs-series-d/?mdm=social) Microsoft is integrating its Windows 365 Cloud PCs into Windows 11 (https://www.theverge.com/2022/4/5/23011183/microsoft-windows-365-11-integration-cloud-pcs-features?scrolla=5eb6d68b7fedc32c19ef33b4&stream=top) $120M to build a "checkout" button (https://twitter.com/carnage4life/status/1511420421937065984?s=21&t=RAHpnj-JXcBF2yfYUbjNaA) Google Cloud cross-platform data storage engine, BigLake (https://techcrunch.com/2022/04/05/google-cloud-launches-biglake-a-new-cross-platform-data-storage-engine/) Announcing the next generation of Amazon Honeycode (https://honeycodecommunity.aws/t/announcing-the-next-generation-of-amazon-honeycode/16941) Boeing taps Amazon, Microsoft, Google for cloud mega-deal (https://seekingalpha.com/news/3821095-boeing-taps-amazon-microsoft-google-for-cloud-mega-deal-bloomberg) Facebook owner Meta targets virtual currency market with ‘Zuck Bucks' (https://www.ft.com/content/50fbe9ba-32c8-4caf-a34e-234031019371) The first RISC-V portable computer is now available (https://lunduke.substack.com/p/the-first-risc-v-portable-computer) Stanford engineers invent a solar panel that generates electricity at night (https://interestingengineering.com/stanford-solar-panel-night) Global Unicorn Club (https://twitter.com/Brice2B/status/1511593493206077440) IBM 'misclassified' mainframe sales to enrich executives (https://www.theregister.com/2022/04/07/ibm_securities_lawsuit/?td=rt-3a) Warren Buffett's Berkshire Hathaway disclosed late on Wednesday that it had purchased a stake in computer and printer maker HP Inc worth $4.2bn (https://on.ft.com/3r7tuPQ) Ubuntu 22.04 LTS Ready With Mesa 22.0, Early Intel Arc Graphics Enabled & Amber Added (https://www.phoronix.com/scan.php?page=news_item&px=Ubuntu-22.04-Mesa-22.0) PaaS is back: Why enterprises keep trying to resurrect self-service developer platforms (https://www.techrepublic.com/article/paas-is-back-enterprises-self-service-dev-platforms/) We Don't Talk about PaaS - Coté's Commonplace Book - Issue #59 (https://www.getrevue.co/profile/cote/issues/we-don-t-talk-about-paas-cote-s-commonplace-book-issue-59-970679?via=twitter-card&client=DesktopWeb&element=issue-card) Elon Musk is the new Product Manger of Twitter. (http://Elon> Musk just took a 9.2% stake in Twitter — what may happen next) Twitter plans edit button, says Elon Musk's poll had nothing to do with it (https://arstechnica.com/tech-policy/2022/04/twitter-plans-edit-button-says-elon-musks-poll-had-nothing-to-do-with-it/) Announcing AWS Lambda Function URLs: Built-in HTTPS Endpoints for Single-Function Microservices (https://aws.amazon.com/blogs/aws/announcing-aws-lambda-function-urls-built-in-https-endpoints-for-single-function-microservices/) Why AMD Spent $1.9B for Pensando's DPU Biz (https://www.sdxcentral.com/articles/news/why-amd-spent-1-9b-for-pensandos-dpu-biz/2022/04/) Microsoft Azure vaults into the Arm server era with chips from Ampere (https://www.protocol.com/bulletins/microsoft-azure-arm-chips-ampere) Nonsense I Gave My Goldfish $50,000 to Trade Stocks (https://youtu.be/USKD3vPD6ZA) 300 Drones Formed a QR Code That Rick Rolled Dallas on April Fools' Day (https://www.dallasobserver.com/music/dallas-got-rick-rolled-with-a-giant-qr-code-on-april-fools-day-13716928) Comic Helvetic, an Unholy Combo of Comic Sans and Helvetica (https://kottke.org/22/04/comic-helvetic-comic-sans-and-helvetica) Footage of Jay Leno Hosting Windows 95 Launch Event Surfaces Online (https://www.vice.com/en/article/v7d87a/footage-of-jay-leno-hosting-windows-95-launch-event-surfaces-online) American Airlines Restarts Philadelphia Regional Routes With Landline Buses (https://airlineweekly.com/2022/04/american-airlines-restarts-philadelphia-regional-routes-with-landline-buses/) Listener Feedback Magnificent app which corrects your previous console command (https://github.com/nvbn/thefuck) Unity hiring: Senior Strategic Business Development @ Austin, TX, USA (https://careers.unity.com/position/senior-strategic-business-development/3969930) Brain Gracely wants you to join Solo.io in Tech Marketing. (https://twitter.com/bgracely/status/1511357915411750916?s=20&t=Ahsx4cjGziDZ4JQPYWQI2g) Happy Birthday Day to Matt Ray (https://twitter.com/nikiacosta/status/1508084723859533831?s=21&t=sMrz86c8vkj7Ja3mY_tOcQ). Sponsors Traceroute — The Podcast for digital pioneers: https://origins.dev/ Drata — Put Security and Compliance on Autopilot: https://drata.com/partner/SDT Conferences THAT Conference comes to Texas (https://that.us/events/tx/2022/), May 23-26, 2022 Discount Codes: Everything Ticket ($75 off): SDTFriends75 3 Day Camper Ticket ($50 off): SDTFriends50 Virtual Ticket ($75 off): SDTFriendsON75 DevOps Days Birmingham AL, (https://www.papercall.io/devopsdays-2022-birmingham-al), April 18 & 19th, 2022 Spring Tour Chicago (https://tanzu.vmware.com/developer/springone-tour/2022/chicago/), April 26th to 27th. DevOpsDays Austin 2022 (https://devopsdays.org/events/2022-austin/welcome/), May 4 - 5, 2022 DevOpsDays Chicago 2022: (https://sessionize.com/devopsdays-chicago-2022/), May 10 & 11th, 2022 MongoDB World 2022 (https://www.mongodb.com/world-2022), June 7-9th, 2022 Splunk's ,conf (http://Splunk's> ,conf June 13-16, 2022), June 13-16, 2022 THAT Conference Wisconsin (https://that.us/call-for-counselors/wi/2022/), July 25, 2022 VMware Explore 2022, August 29 – September 1, 2022 (https://www.vmware.com/explore.html?src=so_623a10693ceb7&cid=7012H000001Kb0hQAC) SpringOne Platform (https://springone.io/?utm_source=cote&utm_medium=podcast&utm_content=sdt), SF, December 6–8, 2022. SDT news & hype Join us in Slack (http://www.softwaredefinedtalk.com/slack). Get a SDT Sticker! Send your postal address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) and we will send you free laptop stickers! Follow us on Twitch (https://www.twitch.tv/sdtpodcast), Twitter (https://twitter.com/softwaredeftalk), Instagram (https://www.instagram.com/softwaredefinedtalk/), LinkedIn (https://www.linkedin.com/company/software-defined-talk/) and YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured). Use the code SDT to get $20 off Coté's book, (https://leanpub.com/digitalwtf/c/sdt) Digital WTF (https://leanpub.com/digitalwtf/c/sdt), so $5 total. Become a sponsor of Software Defined Talk (https://www.softwaredefinedtalk.com/ads)! Recommendations Coté: Cojonudos Espárragos (https://epulumfood.com/conservas/736-esparragos-cojonudos-de-navarra-1316-gruesos-denominacion-de-origen-protegida-el-navarrico-100-natural-8413239002585.html). Matt: Look at Them Beans - Johnny Cash Murder on the Orient Express (https://amzn.to/3JihaT9) (book, not the movie) Brandon: ****Yasso Bars (https://yasso.com/collections/greek-yogurt-bars) Photo Credits Header (https://unsplash.com/photos/phEaeqe555M) Levels Art (https://unsplash.com/photos/gpiKdZmDQig)

This week we discuss how the software supply chain impacts business continuity and analyze the latest attempt to disrupt Microsoft Excel. Plus, some thoughts on bread heels…. Register here to be invited to future Software Defined Meetups (https://docs.google.com/forms/d/1HabWg2nxKf2-qAavMSihlHbACjpr-qVDJFeBTKAJZJQ/edit). Rundown On the weaponisation of open source (https://beny23.github.io/posts/on_weaponisation_of_open_source/) Hacker Group Claims Access to User Authentication Firm Okta (https://gizmodo.com/hacker-group-claims-extraordinary-access-to-user-authen-1848684491) The tyranny of Microsoft Excel may finally be over (https://www.techradar.com/news/the-tyranny-of-microsoft-excel-may-finally-be-over) Relevant to your Interests Website Builder Webflow Hits $4 Billion Valuation As It Nears $100 Million Revenue (https://www.forbes.com/sites/kenrickcai/2022/03/16/webflow-series-c-4-billion-valuation-100-million-revenue/) Amazon Closes $8.5 Billion Acquisition of MGM (https://variety.com/2022/tv/news/amazon-mgm-merger-close-1235207852/) BIG sabotage: Famous npm package deletes files to protest Ukraine war (https://www.bleepingcomputer.com/news/security/big-sabotage-famous-npm-package-deletes-files-to-protest-ukraine-war/) DeepMind's New AI: As Smart As An Engineer... Kind Of! (https://youtu.be/x_cxDgR1x-c) Netflix CEO Says Account Sharing Is OK – TechCrunch (https://techcrunch.com/2016/01/11/netflix-ceo-says-account-sharing-is-ok/?utm_source=newsletter&utm_medium=email&utm_campaign=newsletter_axioslogin&stream=top) About Netflix - Paying to Share Netflix Outside Your Household (https://about.netflix.com/en/news/paying-to-share-netflix-outside-your-household?utm_source=newsletter&utm_medium=email&utm_campaign=newsletter_axioslogin&stream=top) CURL is now 24 (https://daniel.haxx.se/blog/2022/03/20/curl-is-now-24/) Software is no longer sold; it's adopted (https://orbit.love/blog/software-is-no-longer-sold-its-adopted) Grafana Labs, raised $220 million in Series C (http://axios.link/fjLn) Coatue-Backed Grafana Seeks Funds at $5 Billion-Plus Value (https://www.bloomberg.com/news/articles/2022-03-18/coatue-backed-grafana-seeks-funds-at-5-billion-plus-valuation) Cribl raises $200M to help enterprises do more with their data (https://techcrunch.com/2021/08/25/cribl-raises-200m-to-help-enterprises-do-more-with-their-data/) Elon Musk's SpaceX has activated more than 5,000 Starlink internet terminals in Ukraine, report says (https://www.businessinsider.com/elon-musk-spacex-starlink-satellite-terminals-active-ukraine-internet-2022-3) The UK May Build a £16 Billion Solar Power Station in Space. Here's How It Would Work (https://singularityhub.com/2022/03/18/a-solar-power-station-in-space-heres-how-it-would-work-and-its-potential-benefits/) Harness Expands Software Delivery Platform With Acquisition of ChaosNative and Launches Two New Modules to Help Developers Rapidly Deliver Resilient, Reliable, Secure Software (https://www.prnewswire.com/news-releases/harness-expands-software-delivery-platform-with-acquisition-of-chaosnative-and-launches-two-new-modules-to-help-developers-rapidly-deliver-resilient-reliable-secure-software-301507809.html) Harness moves into chaos engineering with ChaosNative acquisition (https://techcrunch.com/2022/03/22/harness-moves-into-chaos-engineering-with-chaosnative-acquisition/?guccounter=1) Apple hit with a widespread service outage (https://www.axios.com/apple-widespread-service-outage-c2331400-e1ba-492d-b209-dfe07900410c.html) SSH and Git, meet 1Password (https://blog.1password.com/1password-ssh-agent/?utm_medium=email&utm_source=newsletter&utm_campaign=march-product-updates) Twilio launches Flex Conversations, a unified chat API for contact centers (https://techcrunch.com/2022/03/21/twilio-launches-flex-conversations-a-unified-chat-api-for-contact-centers/) Ford's F-150 Lightning will offer an EPA-rated 320 miles of range (https://www.engadget.com/ford-f-150-lightning-epa-range-estimates-164244122.html) NVIDIA Introduces Grace CPU Superchip (https://nvidianews.nvidia.com/news/nvidia-introduces-grace-cpu-superchip) Long-Enduring COBOL May Still Have A Shelf Life (https://spectrum.ieee.org/cobol-programming-shelf-life?utm_content=201673534&utm_medium=social&utm_source=twitter&hss_channel=tw-768512626586378240#toggle-gdpr) RapidAPI Raises $150M Series D Led by SoftBank Vision Fund 2 to Empower Developers to Innovate and Build Software Faster with APIs (https://www.businesswire.com/news/home/20220323005325/en/RapidAPI-Raises-150M-Series-D-Led-by-SoftBank-Vision-Fund-2-to-Empower-Developers-to-Innovate-and-Build-Software-Faster-with-APIs) The Ubuntu Application (https://i.redd.it/sw5nd1oj36o81.png) COBOL modernization startup CloudFrame bags $7M Series A funding (https://siliconangle.com/2022/03/22/exclusivecobol-modernization-startup-cloudframe-bags-7m-series-funding/) Updated Okta Statement on LAPSUS$ (https://www.okta.com/blog/2022/03/updated-okta-statement-on-lapsus/) Clocking in at $2.3 billion in losses, Business Email Compromise remains the elephant in the room. (https://www.fbi.gov/news/pressrel/press-releases/fbi-releases-the-internet-crime-complaint-center-2021-internet-crime-report/) Nonsense Google's McLaren sponsorship puts the Android robot and Chrome wheels on its 2022 F1 car (https://www.theverge.com/2022/3/16/22981140/mclaren-f1-android-chrome-google-mcl36-sponsor-2022) Plain Text Sports (https://plaintextsports.com/) Sponsors strongDM — Manage and audit remote access to infrastructure. Start your free 14-day trial today at strongdm.com/SDT (http://strongdm.com/SDT) Postlight — Postlight co-founders Paul Ford and Rich Ziade talk tech, business, ethics, and culture. Subscribe to the Postlight Podcast: https://postlight.com/podcast Traceroute — The Podcast for digital pioneers: https://origins.dev/ Conferences .Net Beyond conference (https://tanzu.vmware.com/developer/tv/dotnet-beyond?utm_source=cote&utm_medium=podcast&utm_content=sdt), March 30–31, 2022, online. THAT Conference comes to Texas (https://that.us/events/tx/2022/), May 23-26, 2022 Discount Codes: Everything Ticket ($75 off): SDTFriends75 3 Day Camper Ticket ($50 off): SDTFriends50 Virtual Ticket ($75 off): SDTFriendsON75 DevOps Days Birmingham AL, (https://www.papercall.io/devopsdays-2022-birmingham-al), April 18 & 19th, 2022 Spring Tour Chicago (https://tanzu.vmware.com/developer/springone-tour/2022/chicago/), April 26th to 27th. DevOpsDays Austin 2022 (https://devopsdays.org/events/2022-austin/welcome/), May 4 - 5, 2022 DevOpsDays Chicago 2022: (https://sessionize.com/devopsdays-chicago-2022/), May 10 & 11th, 2022 MongoDB World 2022 (https://www.mongodb.com/world-2022), June 7-9th, 2022 Splunk's ,conf (http://Splunk's> ,conf June 13-16, 2022), June 13-16, 2022 THAT Conference Wisconsin (https://that.us/call-for-counselors/wi/2022/), July 25, 2022 SpringOne Platform (https://springone.io/?utm_source=cote&utm_medium=podcast&utm_content=sdt), SF, December 6–8, 2022. SDT news & hype Join us in Slack (http://www.softwaredefinedtalk.com/slack). Get a SDT Sticker! Send your postal address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) and we will send you free laptop stickers! Follow us on Twitch (https://www.twitch.tv/sdtpodcast), Twitter (https://twitter.com/softwaredeftalk), Instagram (https://www.instagram.com/softwaredefinedtalk/), LinkedIn (https://www.linkedin.com/company/software-defined-talk/) and YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured). Use the code SDT to get $20 off Coté's book, (https://leanpub.com/digitalwtf/c/sdt) Digital WTF (https://leanpub.com/digitalwtf/c/sdt), so $5 total. Become a sponsor of Software Defined Talk (https://www.softwaredefinedtalk.com/ads)! Recommendations Coté: The Confidential Agent (https://en.wikipedia.org/wiki/The_Confidential_Agent), **Graham Greene. Matt: Secrets of The Bullshark (https://www.natgeotv.com/za/shows/nationalgeographicwild/secrets-of-the-bullshark) Brandon: Star Wars: Rise of the Resistance (https://disneyland.disney.go.com/attractions/disneyland/star-wars-rise-of-the-resistance/) Photo Credits Header (https://unsplash.com/photos/QnNqGoCnBg0) CoverArt (https://unsplash.com/photos/iJ-h6mBoASI)

Just as Grafana brings together different technologies onto one platform, "Grafana's Big Tent" is our opportunity to shine a spotlight on the incredible people, innovative products, and surprising projects that are shaping the observability world today. Grafana Labs' Mat Ryer, Matt Toback, and Tom Wilkie host these lively episodes filled with sharp insight, candid conversations, exciting new voices from the community, and much more.

So … what is observability? There's usually talk about metrics, logs, and traces, but it's more than just data and it's not simply configuring any one technology or tool. In our premiere episode, hosts Mat Ryer, Tom Wilkie, and Matt Toback dig into key components that help define a successful observability strategy, such as the USE and RED methods, SLO-driven alerting, cost-effective monitoring systems, and more. Added bonus: You'll learn how all of these concepts relate to Tom's impressive knowledge of cooking and the mother sauces. 

At KubeCon Europe 2019, Polar Signals Founder and CEO Frederic Branczyk predicted that continuous profiling was the future of observability. Fast forward three years, and he's not wrong. In this episode, we'll discuss how Polar Signals' open source tool Parca is leading the conversation around continuous profiling, how it reduces overhead costs thanks to eBPF, how Parca has grown its passionate community, and perhaps most importantly, what cute animal will become the Parca mascot. 

Doug Hanna, COO at Grafana Labs, joins us to discuss scaling a company to $3B in valuation after raising $330M in funding. As a former Zendesk VP of Ops, Doug has had front seats at both companies, during hyper-growth. This episode, Part 2, focuses on scaling the go-to-market machine of a multi-billion dollar company. Grafana Labs is the company behind the lead open source observability platform, Grafana, used by the likes of Salesforce, Paypal, Verizon, Ebay, and 750K other instances.Part 1 of Doug's session dropped on January 4th, 2022 and focuses on Doug's path to COO and scaling people and culture.Part 1: https://www.betweentwocoos.com/part-1-grafana-labs-coo-doug-hanna/Grafana Labs: https://grafana.comDoug Hanna on LinkedIn: https://www.linkedin.com/in/douglashanna1Episode Website: https://betweentwocoos.com/part-2-grafana-labs-coo-doug-hannaEpisode Transcript: https://betweentwocoos.com/part-2-grafana-labs-coo-doug-hanna/#transcriptMichael Koenig on LinkedIn: https://linkedin.com/in/mkoenig514Michael Koenig on Twitter: https://twitter.com/mkoenig

Doug Hanna, COO at Grafana Labs, joins us to discuss scaling a company to $3B in valuation after raising $330M in funding. As a former Zendesk VP of Ops, Doug has had front seats at both companies, during hyper-growth. This episode, Part 1, focuses on people and culture: what goes into scaling from 70 to 400 net new employees in a mere 18 months. Grafan Labs is the company behind the lead open source observability platform, Grafana, used by the likes of Salesforce, Paypal, Verizon, Ebay, and 750K other instances.Part 2 of Doug's episode will air in a few weeks and focuses on scaling the go-to-market.Grafana Labs - https://grafana.comDoug Hanna on LinkedIn: https://www.linkedin.com/in/douglashanna1Episode Website: https://betweentwocoos.com/part-1-grafana-labs-coo-doug-hannaEpisode Transcript: https://betweentwocoos.com/part-1-grafana-labs-coo-doug-hanna/#transcriptMichael Koenig on LinkedIn: https://linkedin.com/in/mkoenig514Michael Koenig on Twitter: https://twitter.com/mkoenig

Chegando quase ao final da série mais longa da história do Kubicast, apresentamos nesse episódio a conversa com o ilustre Juraci Kröhling, que trabalha diretamente com OpenTelemetry da Grafana Labs.Comentando sobre os três pilares que definem a observabilidade, o convidado deixou uma dica: estude bem o propósito de cada um deles! As métricas servem para avaliar o estado atual da aplicação; os logs para entender o ciclo de vida da aplicação; e os traces para relacionar o histórico de um problema, o que e como aconteceu algo que resultou num erro com a sua aplicação. Caminhando, falamos também sobre as funcionalidades do Jaeger, a escolha entre Elastic Search e Cassandra para deployment em produção e o que o time deve minimamente saber para começar a usar o OpenTelemetry.Siga com o play para se aprofundar nessa conversa:CONTATO - Para falar com Juraci, envie mensagem para:Slack: Slack.cncf.io (canal jaeger ou collector)Twitter: @jpkrohlingO LINK comentado no episódio segue aqui:Criação de links para outras ferramentas, dentro do Jaeger: [link do blog]As RECOMENDAÇÕES do programa são:Juraci:Forward collection (coleção de livros da Amazon)João:Upload: Realidade Virtual (Está no Prime Vídeo!)O Kubicast é uma produção da Getup, especialista em Kubernetes e apoiadora do projeto UnDistro, uma distribuição para gerenciar múltiplos clusters Kubernetes. #o11y #Observability #OpenTelemetry #DevOps #Kubernetes #Containers #docker 

Our new .tech series invites guests inside and outside of Form3, discussing current trends in the engineering world alongside shedding light into some of the engineering practices here at Form3.Interested in joining Form3? - https://www.form3.tech/careers 

Gerhard talks to Tom Wilkie, VP of Product for Grafana Labs. They talk about Loki, Tempo, and how can Grafana Cloud offer such a generous free tier. The solution is in the Cortex architecture, which was used in Loki and in Tempo too. Yes, Tom is the Cortex co-author. We recommend that you listen to this episode in combination with episodes 3 and 11. That's the best way to get a more complete picture of the topics that we discuss today. Lastly, would you like to watch Gerhard & Tom pair-up and build Grafana dashboards like pros? Tom has this really interesting approach that Gerhard would like to learn too. We can either have a live YouTube stream, or record and then publish the video. Let us know your preference via our Changelog Slack, or just plain Twitter.

Gerhard talks to Tom Wilkie, VP of Product for Grafana Labs. They talk about Loki, Tempo, and how can Grafana Cloud offer such a generous free tier. The solution is in the Cortex architecture, which was used in Loki and in Tempo too. Yes, Tom is the Cortex co-author. We recommend that you listen to this episode in combination with episodes 3 and 11. That's the best way to get a more complete picture of the topics that we discuss today. Lastly, would you like to watch Gerhard & Tom pair-up and build Grafana dashboards like pros? Tom has this really interesting approach that Gerhard would like to learn too. We can either have a live YouTube stream, or record and then publish the video. Let us know your preference via our Changelog Slack, or just plain Twitter.

The CNCF has a rich suite to address monitoring Kubernetes and cloud-native workloads. First of which is Prometheus, which is widely adopted, with great out-of-the-box compatibility with Kubernetes. But under the CNCF you can also find OpenMetrics that offers standardization of the metrics format, Thanos and Cortex which offer long-term storage for Prometheus, and other complimentary solutions and integrations.    On this episode of OpenObservability Talks we'll host “RichiH” Hartmann and discuss the different OSS projects, the synergy between them, and the future roadmap in building the community and making CNCF a leading offering.   Richard "RichiH" Hartmann is Director of Community at Grafana Labs, Prometheus team member, OpenMetrics founder, CNCF SIG Observability chair, and other things. He also organizes various conferences, including FOSDEM, DENOG, DebConf, and Chaos Communication Congress. In the past, he made mainframe databases work, ISP backbones run, and built a datacenter from scratch. The episode was live-streamed on 02 July 2021 and the video is available at https://youtube.com/live/j3nFFHSosnI Show Notes: OpenTelemetry accepted to CNCF incubation OpenTelemetry structure OpenTelemetry community adoption OpenMetrics and Open* confusion OpenMetrics and OpenTelemetry synergy OpenMetrics updates CNCF's Observability TAG (Technical Advisory Group) How to sync between projects on CNCF Prometheus state and roadmap Prometheus conformance program Thanos and Cortex projects how the tech stack benefits humans Grafana, Loki and Tempo projects Resources: OpenTelemetry.io OpenTelemetry status page Guide to OpenTelemetry CNCF TAG Observability Open* Explainer by RichiH OpenMetrics

As companies rush to embark on their cloud-native journey, it is becoming increasingly important to have visibility into their stack. In this interview, Richard Hartmann, Director of Community at Grafana Labs, talks about the importance of observability and why companies have it as a core requirement. In addition to understanding observability, we also talked about open-source technologies like Prometheus and how Grafana Labs is making it easier for customers to leverage these open source technologies.

Episode #5 of "Can I get that software in blue?", a podcast by and for people engaged in technology sales. If you are in the technology presales, solution architecture, sales, support or professional services career paths then this show is for you! Your hosts Steve Mayzak and Chad Tindel are joined by Douglas Hanna, COO of Grafana Labs, the company behind leading open source projects Grafana and Loki, and the creator of the first open and composable observability platform. Prior to Grafana Labs, he spent nearly four years at Zendesk, most recently as VP, Operations at Zendesk. Before Zendesk, he was the founder and CEO of Help.com, a customer service software company. We breakdown the latest Salesforce.com 10K to talk about their business model, acquisitions they've made and where we think they're headed.    We also talk with Doug about how sales and operations are different at Open Source companies compared to proprietary software vendors, the future of enterprise subscriptions, procurement automation, and the future of WFH.   Contact us on Twitter or LinkedIn to suggest companies or tech news articles worthy of the podcast!   Our website: https://softwareinblue.com  Twitter: https://twitter.com/softwareinblue  LinkedIn: https://www.linkedin.com/showcase/softwareinblue  Make sure to subscribe or follow us to get notified about our upcoming episodes:   Youtube: https://www.youtube.com/channel/UC8qfPUKO_rPmtvuB4nV87rg  Apple Podcasts: https://podcasts.apple.com/us/podcast/can-i-get-that-software-in-blue/id1561899125  Spotify: https://open.spotify.com/show/25r9ckggqIv6rGU8ca0WP2  Stitcher: https://www.stitcher.com/podcast/can-i-get-that-software-in-blue  SFDC 10K: https://investor.salesforce.com/financials/sec-filings/sec-filings-details/default.aspx?FilingId=14807944  Snowflake goes fully remote: https://www.cnbc.com/2021/05/26/snowflake-moves-executive-office-from-california-to-bozeman-montana.html  Employees want WFH: https://www.bloomberg.com/news/articles/2021-06-01/return-to-office-employees-are-quitting-instead-of-giving-up-work-from-home

Adam sits down with Matthew to discuss why it's difficult to hire technical writers, the importance of open source / bottoms-up, and why an open culture wins in the end.

Matthew Helmke is a Senior Technical Content Developer at Grafana Labs. He helps companies and people track metrics and alerts around their data to understand what is going on in the systems and information that they manage. He walks Caleb and Jeffrey through the process of understanding systems and data to draw a picture that describes their systems and integrations so they can make better decisions and handle events that occur. Panel Caleb Fornari Jeffrey Groman Guest Matthew Helmke Sponsors Dev Influencers Accelerator Links GrafanaCONline 2021 Contact Caleb: CTO at The StartOps Group Contact Jeffrey: Groman Cyber

Matthew Helmke is a Senior Technical Content Developer at Grafana Labs. He helps companies and people track metrics and alerts around their data to understand what is going on in the systems and information that they manage. He walks Caleb and Jeffrey through the process of understanding systems and data to draw a picture that describes their systems and integrations so they can make better decisions and handle events that occur. Panel Caleb Fornari Jeffrey Groman Guest Matthew Helmke Sponsors Dev Influencers Accelerator Links GrafanaCONline 2021 Contact Caleb: CTO at The StartOps Group Contact Jeffrey: Groman Cyber

A major part of improving developer velocity is about getting the most out of an observability platform. While that is a commonly held assumption, this best practice is also a far-reaching goal for many DevOps teams.Hosted by Alex Williams, founder and publisher of The New Stack, this The New Stack Makers — podcast recorded during a virtual pancake breakfast — features a discussion on improving observability for developers. The featured guests were Zain Asgar, general manager, Pixie and New Relic open source and CEO and co-founder of Pixie Labs, Roopak Venkatakrishnan, engineering manager, Bolt (an e-commerce retailer tool), Ihor Dvoretskyi, developer advocate, Cloud Native Computing Foundation (CNCF) and Christine Wang, senior solutions engineer, Grafana Labs.

On this week's episode of The Data Stack Show, Eric and Kostas talk with John Marbach, senior growth manager at Grafana Labs. In this conversation, John discusses marketing ops and the blending of roles of data engineering and marketing.Highlights from this week's episode include:Grafana Labs John Marbach Senior Growth ManagerIntroduction to John Marbach and working in the blurred lines between marketing and data engineering (2:14)How managing pipeline building and consuming data influences the use of downstream tools (6:28)Experiments in marketing (11:28)Exploring the role of marketing ops (15:35)How accruing technical debt can grind things to a halt (20:35)Matching the stack with the company's scale (24:48)CDPs and marketing to developers (28:40)Biggest challenges and barriers between data engineering and marketing (35:19)Takes on reverse ETL (39:07)Thoughts on cryptocurrency and the blockchain (44:08)The Data Stack Show is a weekly podcast powered by RudderStack. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

La gestion des logs applicatifs a profondément évolué ces dernières années sous l'impulsion des micro-services et des conteneurs. Et à l'instar de Prometheus pour les métriques, il nous a fallu trouver de nouveaux outils en mesure de s'adapter à des environnements distribués fortement volatiles. Or si Elasticsearch est depuis longtemps une solution particulièrement plébiscitée, elle n'est peut-être pas exactement taillée pour ces cas d'usage. C'est pourquoi Grafana a créé Loki. Loki est en quelque sorte le Prometheus des logs, car il a été conçu spécifiquement pour ce type d'usage. Pour nous en parler plus en détail, je reçois Cyril Tovena. Cyril est software engineer pour Grafana Labs, et il nous explique pourquoi Grafana a ressenti le besoin de créer son propre outil de gestion de logs, et en quoi il est pertinent dans le paysage de l'observabilité aujourd'hui. Notes de l'épisode Le meetup CNCF Luxembourg sur l'Infrastructure as Code avec Pulumi : https://www.meetup.com/fr-FR/Luxembourg-Kubernetes-and-CNCF-Meetup/events/277518075/ Keynote de Cyril à l'ObservabilityCon : https://grafana.com/go/observabilitycon/keynote-what-is-observability/ Slack de grafana : https://slack.grafana.com/

En este episodio hablamos con Natalia Bernarte, Engineering Manager en Grafana Labs, SCRUM Master y Frontend Developer, que viene a resolvernos todas nuestras dudas sobre la metodología de los OKRs, pros y contras, qué hace una Engineering Manager en su día a día y qué tenemos que hacer si queremos convertirnos también en una. Los libros que recomendamos durante el episodio son: The Manager's Path, de Camille Fournier. The Making of a Manager, de Julie Zhuo. Si te ha gustado, quieres añadir algo, o compartir una duda, coméntanos en twitter @techandladies ¡Nos encantará leerte!

Chris speaks with Anthony Woods of Grafana Labs about Grafana, Prometheus, Cortex, and about the current state of observability. --- Send in a voice message: https://anchor.fm/theweeklysqueak/message

In another slightly delayed episode Arjen, JM, and Guy talk about all the many things that were announced in October. But before that, they will first discuss exactly how badly Lex understands "a fair shake of the sauce bottle".   Talk to us in our Slack or on Twitter!   The News   Finally in Sydney Amazon Connect supports Amazon Lex bots using the Australian English dialect Amazon EC2 G4dn Bare Metal Instances with NVIDIA T4 Tensor Core GPUs, now available in 15 additional regions AWS IoT SiteWise is now available in Asia Pacific (Singapore) and Asia Pacific (Sydney) AWS regions Amazon Relational Database Service (RDS) Snapshot Export to S3 available in additional regions Serverless Introducing AWS Lambda Extensions – In preview | AWS Compute Blog Announcing Amazon CloudWatch Lambda Insights (preview) New – Use AWS PrivateLink to Access AWS Lambda Over Private AWS Network | AWS News Blog Amazon EventBridge announces support for Dead Letter Queues AWS Step Functions now supports Amazon Athena service integration Amazon API Gateway now supports disabling the default REST API endpoint Containers Amazon EKS now supports Kubernetes version 1.18 Amazon EKS now supports the Los Angeles AWS Local Zones Amazon EKS now supports configurable Kubernetes service IP address range Amazon ECS extensions for AWS Cloud Development Kit now available as a Developer Preview AWS Elastic Beanstalk Adds Support for Running Multi-Container Applications on AL2 based Docker Platform Fluent Bit supports Amazon S3 as a destination to route container logs AWS App Mesh supports cross account sharing of ACM Private Certificate Authority Introducing the AWS Load Balancer Controller AWS Copilot CLI launches v0.5 to let users deploy scheduled jobs and more EC2 & VPC AWS Nitro Enclaves – Isolated EC2 Environments to Process Confidential Data | AWS News Blog Announcing SSL/TLS certificates for Amazon EC2 instances with AWS Certificate Manager (ACM) for Nitro Enclaves New – Application Load Balancer Support for End-to-End HTTP/2 and gRPC | AWS News Blog AWS Compute Optimizer enhances EC2 instance type recommendations with Amazon EBS metrics AWS Cloud Map simplifies service discovery with optional parameters AWS Global Accelerator launches port overrides AWS IoT SiteWise launches support for VPC private links AWS Site-to-Site VPN now supports health notifications Dev & Ops AWS CloudFormation now supports increased limits on five service quotas AWS CloudFormation Guard – an open-source CLI for infrastructure compliance – is now generally available AWS CloudFormation Drift Detection now supports CloudFormation Registry resource types Amazon CloudWatch Synthetics now supports prebuilt canary monitoring dashboard Amazon CloudWatch Synthetics launches Recorder to generate user flow scripts for canaries AWS and Grafana Labs launch AWS X-Ray data source plugin Now author AWS Systems Manager Automation runbooks using Visual Studio Code AWS Systems Manager now supports free-text search of runbooks AWS Systems Manager now allows filtering automation executions by applications or environments Now use AWS Systems Manager to view vulnerability identifiers for missing patches on your Linux instances Port forwarding sessions created using Session Manager now support multiple simultaneous connections Now customize your Session Manager shell environment with configurable shell profiles AWS End of Support Migration Program for Windows Server now available as a self-serve solution for customers EC2 Image Builder now supports AMI distribution across AWS accounts Announcing general availability of waiters in the AWS SDK for Java 2.x Porting Assistant for .NET is now open source Amazon Corretto 8u272, 11.0.9, 15.0.1 quarterly updates are now available Security AWS Config adds 15 new sample conformance pack templates and introduces simplified setup experience for conformance packs AWS IAM Access Analyzer now supports archive rules for existing findings AWS AppSync adds support for AWS WAF AWS Shield now provides global and per-account event summaries to all AWS customers Amazon CloudWatch Logs now supports two subscription filters per log group Amazon S3 Object Ownership is available to enable bucket owners to automatically assume ownership of objects uploaded to their buckets Protect Your AWS Compute Optimizer Recommendation Data with customer master keys (CMKs) Stored in AWS Key Management Service Manage access to AWS centrally for Ping Identity users with AWS Single Sign-On Amazon Elasticsearch Service adds native SAML Authentication for Kibana Amazon Inspector has expanded operating system support for Red Hat Enterprise Linux (RHEL) 8, Ubuntu 20.04 LTS, Debian 10, and Windows Server 2019 Data Storage & Processing New – Amazon RDS on Graviton2 Processors | AWS News Blog Amazon ElastiCache now supports M6g and R6g Graviton2-based instances Easily restore an Amazon RDS for MySQL database from your MySQL 8.0 backup Amazon RDS for PostgreSQL supports concurrent major version upgrades of read replicas Amazon Aurora enables dynamic resizing for database storage space AWS Lake Formation now supports Active Directory and SAML providers for Amazon Athena AWS Lake Formation now supports cross account database sharing Now generally available – design and visualize Amazon Keyspaces data models more easily by using NoSQL Workbench You now can manage access to Amazon Keyspaces by using temporary security credentials for the Python, Go, and Node.js Cassandra drivers Amazon ElastiCache on Outposts is now available Amazon EMR now supports placing your EMR master nodes in distinct racks to reduce risk of simultaneous failure Amazon EMR integration with AWS Lake Formation is now generally available Amazon EMR now provides up to 35% lower cost and up to 15% improved performance for Spark workloads on Graviton2-based instances AWS Glue Streaming ETL jobs support schema detection and evolution AWS Glue supports reading from self-managed Apache Kafka AWS Glue crawlers now support Amazon DocumentDB (with MongoDB compatibility) and MongoDB collections Amazon Kinesis Data Analytics now supports Force Stop and a new Autoscaling status Kinesis Client Library now enables multi-stream processing Announcing cross-database queries for Amazon Redshift (preview) Amazon Redshift announces support for Lambda UDFs and enables tokenization New Amazon Neptune engine release now enforces a minimum version of TLS 1.2 and SSL client connections AWS Database Migration Service now supports Amazon DocumentDB (with MongoDB compatibility) as a source AI & ML Amazon SageMaker Autopilot now Creates Machine Learning Models up to 40% Faster with up to 200% Higher Accuracy Now launch Amazon SageMaker Studio in your Amazon Virtual Private Cloud (VPC) Amazon SageMaker Price Reductions – Up to 18% for ml.P3 and ml.P2 instances Amazon SageMaker Studio Notebooks now support custom images Amazon Rekognition adds support for six new content moderation categories Amazon Rekognition now detects Personal Protective Equipment (PPE) such as face covers, head covers, and hand covers on persons in images Amazon Transcribe announces support for AWS PrivateLink for Batch APIs Amazon Kendra now supports custom data sources Amazon Kendra adds Confluence Server connector Amazon Textract announces improvements to reduce average API processing times by up to 20% Other Cool Stuff AWS DeepRacer announces new Community Races updates Amazon WorkSpaces introduces sharing images across accounts AWS Batch now supports Custom Logging Configurations, Swap Space, and Shared Memory Amazon Connect supports Amazon Lex bots using the British English dialect Amazon Connect chat now provides automation and personalization capabilities with whisper flows CloudWatch Application Insights offers new, improved user interface CloudWatch Application Insights adds EBS volume and API Gateway metrics Announcing AWS Budgets price reduction Announcing AWS Budgets Actions Resource Access Manager Support is now available on AWS Outposts Announcing Amazon CloudFront Origin Shield Announcing AWS Distro for OpenTelemetry in Preview Introducing Amazon SNS FIFO – First-In-First-Out Pub/Sub Messaging | AWS News Blog Amazon SNS now supports selecting the origination number when sending SMS messages Amazon SES now offers list and subscription management capabilities Nano candidates Amazon WorkDocs now supports Dark Mode on iOS Amazon Corretto 8u272, 11.0.9, 15.0.1 quarterly updates are now available AWS OpsWorks for Configuration Management now supports new version of Chef Automate Sponsors   Gold Sponsor Innablr   Silver Sponsors AC3 CMD Solutions DoIT International  

Dave Russell, VP Solutions at Grafana Labs, discusses his playbook for being the first presales hire at a fast-growth startup and then building up a high performance team. He also discusses his strategy for managing a highly distributed team -- something he's done for years.

The perfect observability storm with open source leading the way, and a partnership that makes sense. Open source is eating the world, and observability is no exception. New Relic and Grafana Labs just announced a partnership, and we discuss the specifics as well as the broader open source and observability landscape with Grafana Labs CEO Raj Dutt and New Relic Chief Product Officer Bill Staples. We cover everything from the rationale of the partnership, what it brings for users and how the integration was done, to open source, de facto and de jure standards for telemetry, and the use of AI and machine learning. Article published on ZDNet

Grafana is an open source visualization and monitoring tool that is used for creating dashboards and charting time series data. Grafana is used by thousands of companies to monitor their infrastructure. It is a popular component in monitoring stacks, and is often used together with Prometheus, ElasticSearch, MySQL, and other data sources.The engineering complexities around building Grafana involve the large number of integrations, the highly configurable ReactJS frontend, and the ability to query and display large data sets. Grafana also must be deployable to cloud and on-prem environments.Torkel Ödegaard is a co-founder of Grafana Labs, and joins the show to talk about his work on the open source project and the company he is building around it.

In this episode of The New Stack Makers, our Publisher Alex Williams sits down with Raj Dutt, CEO and co-founder Grafana Labs, provider of the open source observability platform Grafana. They're talking about creating a more seamless transition among observability, tracing, metrics and logs, across different data types and open source projects. Observability and distributed tracing are intrinsically linked to reliability of increasingly distributed systems. Observability-driven development uses data and tooling to observe the state and behavior of a system to learn more about its patterns for weaknesses. Distributed tracing provides the metrics and logs that allow for diving into individual requests and to get closer to the problem. In this powerful pairing, observability happens at the event level, which drives your questions, and tracing happens at the request level, which helps answer them.

Grafana Labs, makers of popular open-source observability platform Grafana, announced the general availability of Grafana 7.0. This comes only a few months after Grafana Labs scored $24 million in Series A funding to double down on open-source strategy and build what it dubs the world's first open and composable observability platform. In this backstage chat, CEO and Founder Raj Dutt and George Anadiotis connected to discuss Grafana 7.0, and the road forward. Article published on ZDNet, May 2020.

This week on Context we talk with Tom Wilkie, VP of product, at Grafana Labs, which just announced a new open source log aggregation tool for Kubernetes called Loki. Unlike other log aggregation tools, instead of indexing the full text of the logs, Loki indexes only the metadata and follows the same service discovery technology as Prometheus. "A lot of systems don't have that metadata and they're really powerful for finding content in the logs, but finding where those logs came from and when they were generated, maybe what host and what version of the software, that's really where we've put the focus. The same as you can with Prometheus," Wilkie said. Loki has already grabbed the community's attention, appearing at no. 1 on Hacker News the day after it was annnounced and receiving more than 2,000 stars on GitHub. In this podcast, Wilkie talks with Alex Williams, founder and editor-in-chief, and Libby Clark, editorial director at The New Stack, from KubeCon + CloudNativeCon in Seattle. "We think this is super powerful because it's going to be much easier, much more cost effective to run, much easier to operate than Elastic clusters." Wilkie said. Later in the show, we give our takeaways from KubeCon and CloudNativeCon. The New Stack livestreamed our podcasts from the show, held numerous pancake breakfasts and published a lot of news.