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Aprende Grafana y domina el monitoreo de datos en tiempo real
This week Noah tells the story of how Altispeed built a solar system for a remote camera for a daycare. Tiny joins to discuss the value of metric and why he believes Victoria Metrics does it better. -- During The Show -- 00:55 Graphics Cards When do you update graphics cards Watching prices, trying to buy Bought 5060ti Quadro P6000 Sold in 2 Min What is driving the cost? Over Time "Unplugging" Mature Leaders High Intensity/Surge Seasons Talking through movies 16:05 Solar Camera System Camera's on a playground Trenching and conduit Hanging wire from utility poles Shed with no power or network Solar powered camera setup Greentech Renewables (https://www.greentechrenewables.com) Noah's Battery Amazon (https://www.amazon.com/dp/B0DKNJ5ZBP?) LiTime (https://www.litime.com/products/litime-12v-100ah-lithium-lifepo4-battery) Unifi SunMax SolarPoint Amazon (https://www.amazon.com/Sunmax-SolarPoint/dp/B0965KBVFM/) Trouble shooting, lay it out first Nano Beams 5AC Axis Camera Industrial 24v Switch Amazon (https://www.amazon.com/dp/B0BWN147HZ?) Enphase System Metrics, data nerds Victoria Metrics (https://victoriametrics.com/) Victoria Metrics Docs (https://docs.victoriametrics.com/guides/) Grafana (https://grafana.com/) Solar Cable Amazon (https://www.amazon.com/dp/B09BYGJGTB?) MC4 Crimper Amazon (https://www.amazon.com/dp/B0CKTFRSZ4?) HQST Solar (https://hqsolarpower.com/) SOK Battery (https://www.us.sokbattery.com/) Victron Charge Controllers (https://www.victronenergy.com/solar-charge-controllers) 48:30 Sustainability ANS 424 (https://podcast.asknoahshow.com/424) Reproduce-ability Minimalism Access Control System News Wire Deluge 2.2.0 - deluge.readthedocs.io (https://deluge.readthedocs.io/en/deluge-2.2.0/) OpenZFS 2.3.2 - phoronix.com (https://www.phoronix.com/news/OpenZFS-2.3.2-Released) Bleachbit 500 - bleachbit.org (https://www.bleachbit.org/news/bleachbit-500) Thunderbird 138.0 - Thunderbird.net (https://www.thunderbird.net/en-US/thunderbird/138.0/releasenotes/) Firefox 138.0 - mozilla.org (https://www.mozilla.org/en-US/firefox/138.0/releasenotes/) QBittorrent 5.1.0 - qbittorrent.org (https://www.qbittorrent.org/news) Redis Open Source Again - thenewsstack.io (https://thenewstack.io/redis-is-open-source-again/) Tails 6.15 - torproject.org (https://blog.torproject.org/new-release-tails-6_15/) 4MLinux 48.0 - 4mlinux-releases.blogspot.com (https://4mlinux-releases.blogspot.com/2025/04/4mlinux-480-stable-released.html) Commodore OS 3 - theregister.com (https://www.theregister.com/2025/05/06/commodore_os_3/) AnduinOS - zdnet.com (https://www.zdnet.com/article/this-windows-11-like-linux-distribution-is-aimed-squarely-at-developers/) Malicious Go Modules - thehackernews.com (https://thehackernews.com/2025/05/malicious-go-modules-deliver-disk.html) AI Threat Defense - venturebeat.com (https://venturebeat.com/ai/rsac-2025-cisco-and-meta-put-open-source-ai-at-the-heart-of-enterprise-threat-defense/) Meta's AI Model Goes to Space - fb.com (https://about.fb.com/news/2025/04/space-llama-metas-open-source-ai-model-heading-into-orbit/) Parakeet-TDT-0.6B-V2 - venturebeat.com (https://venturebeat.com/ai/nvidia-launches-fully-open-source-transcription-ai-model-parakeet-tdt-0-6b-v2-on-hugging-face/) LTXV-13B - siliconangle.com (https://siliconangle.com/2025/05/06/lightricks-shakes-ai-video-creation-powerful-open-source-model/) Linux Inside MS Excel - tomshardware.com (https://www.tomshardware.com/software/linux/developer-gets-linux-running-inside-microsoft-excel-mostly-for-fun) -- The Extra Credit Section -- For links to the articles and material referenced in this week's episode check out this week's page from our podcast dashboard! This Episode's Podcast Dashboard (http://podcast.asknoahshow.com/440) Phone Systems for Ask Noah provided by Voxtelesys (http://www.voxtelesys.com/asknoah) Join us in our dedicated chatroom #GeekLab:linuxdelta.com on Matrix (https://element.linuxdelta.com/#/room/#geeklab:linuxdelta.com) -- Stay In Touch -- Find all the resources for this show on the Ask Noah Dashboard Ask Noah Dashboard (http://www.asknoahshow.com) Need more help than a radio show can offer? Altispeed provides commercial IT services and they're excited to offer you a great deal for listening to the Ask Noah Show. Call today and ask about the discount for listeners of the Ask Noah Show! Altispeed Technologies (http://www.altispeed.com/) Contact Noah live [at] asknoahshow.com -- Twitter -- Noah - Kernellinux (https://twitter.com/kernellinux) Ask Noah Show (https://twitter.com/asknoahshow) Altispeed Technologies (https://twitter.com/altispeed)
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
Luca Casanato, member of the Deno core team, delves into the intricacies of debugging applications using Deno and OpenTelemetry. Discover how Deno's native integration with OpenTelemetry enhances application performance monitoring, simplifies instrumentation compared to Node.js, and unlocks new insights for developers! Links https://lcas.dev https://x.com/lcasdev https://github.com/lucacasonato https://mastodon.social/@lcasdev https://www.linkedin.com/in/luca-casonato-15946b156 We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Emily, at emily.kochanekketner@logrocket.com (mailto:emily.kochanekketner@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understand where your users are struggling by trying it for free at [LogRocket.com]. Try LogRocket for free today.(https://logrocket.com/signup/?pdr) Special Guest: Luca Casonato.
The Twenty Minute VC: Venture Capital | Startup Funding | The Pitch
Mitchell Green is the Founder and Managing Partner of Lead Edge Capital. Mitchell has led or co-led investments in companies including Alibaba, Asana, Benchling, ByteDance, Duo Security, Grafana, Mindbody, and Xamarin, among several others. In Today's Episode We Discuss: 04:31 How Bessemer Taught Me The One Golden Rule of Investing 06:48 Why AI Infrastrcture is the Worst Investment to Make 08:51 Why it is Comical to think there will be $BN one person companies? 09:26 WTF Happens To The Cohort of SaaS Companies With Slow Growth, Not Yet Profitable and $50M-$200M in Revenue 16:12 What is the Biggest Problem with the IPO Market 23:24 When is the Right Time to Sell in VC and How a Generation F******* it Up 27:37 Biggest Advice to Smaller Emerging Managers 40:13 The One Question That Tells You if a Business is Good 43:01 Why LPs are More Important than Founders 45:03 One Question Every LP Should Ask Their VCs 46:03 Why TikTok Does Not Matter to ByteDance and It Is a Screaming Buy 51:30 Why We Drastically Underestimate the Power of Chinese AI? 55:18 Why Social Media is the Most Dangerous Thing in Society 01:00:07 Quick Fire Questions
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.
Shopify operates at massive scale, running thousands of services and processing billions of events per second. To tackle the challenges of observability at this scale, they built Observe—an in-house observability stack that makes use of open-source tools and specifications. In fact, they replaced an older vendors-based system, in an awe-inspiring migration project. But why build their own stack? Which open source tools did they use? How did they shape the user experience to their needs?Joining us to unpack Shopify's journey is Elijah McPherson, an engineering leader with deep expertise in observability and distributed systems. Elijah led the complete rebuild of Shopify's observability stack and now also oversees jobs, caching, search, and ClickHouse infrastructure. Tune in to hear firsthand insights from one of the most innovative purpose-built observability implementations in production today!The episode was live-streamed on 11 February 2025 and the video is available at https://www.youtube.com/watch?v=rBfTjlXKJW0OpenObservability 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.youtube.com/@openobservabilitytalks https://www.twitch.tv/openobservabilityShow Notes:00:46 - Episode and guest intro03:43 - Why rebuild the observability stack in house 05:47 - Cost and vendor lock-in07:09 - Tailoring observability for the organizational processes10:27 - How to build a team to build in-house observability 13:37 - The importance of product sense in internal platforms18:05 - The functionality of Shopify's observability platform 25:15 - The Open Source stack used at Shopify observability 29:50 - Extending open source Grafana to Shopify's needs36:23 - Adopting open standards 42:26 - observability into business health45:16 - how to run a migration project for a live production platform53:15 - final tips and best practices 56:41 - which organizations should develop in-house observabilityResources: Episode: Scaling Platform Engineering: Shopify's Blueprint: https://medium.com/p/f18e97140681 Shopify Observe - lectures: https://www.linkedin.com/posts/elijahmcpherson_observe-activity-7258195493657223168-mOGS/ Socials:Twitter: https://twitter.com/OpenObservYouTube: https://www.youtube.com/@openobservabilitytalksDotan Horovits============Twitter:@horovitsLinkedIn:www.linkedin.com/in/horovitsMastodon: @horovits@fosstodonBlueSky: @horovits.bsky.socialElijah McPherson===============Twitter: https://twitter.com/ElijahMcPhersonLinkedIn: https://www.linkedin.com/in/elijahmcpherson/
Back Down the IoT Switch Rabbit Hole; YubiKey or Phish; ABC’s HIBP PIN Analysis; Grafana’ing All Our Things; Sponsored by 1Password https://www.troyhunt.com/weekly-update-437/See omnystudio.com/listener for privacy information.
In this episode of RAW STORIES LIVE, we sit down with Andreas Stange, a strategic account executive at Grafana, to uncover the story behind his first eight-figure deal and seven-figure paycheck. From immense personal stakes to relentless belief in his solution, Andreas shares how he transformed a potential failure into a life-changing success. Discover the strategies, mindset, and lessons that turned a €16,000 bank balance into a groundbreaking achievement for Andreas and his company.
Bienvenue dans cet épisode captivant de La Tangente ! Aujourd'hui, nous plongeons dans l'actu tech et explorons ces sujets!
Zusammenfassend unsere Must-Haves: Datenbank / DWH Lösung zur Datenvisualisierung Möglichkeit, unkompliziert zu entwickeln (lokal oder im Web) Versionskontrolle / CI/CD Deployment-Lösung Trennung von Entwicklungs- und Produktivumgebung Monitoring für Modell & Ressourcen Verwandte Podcast-Episoden Folge #2: Erfolgsfaktoren für Predictive Analytics Projekte Folge #5: Data Warehouse vs. Data Lake vs. Data Mesh Folge #20: Ist Continuous Integration (CI) ein Muss für Data Scientists? Folge #21: Machine Learning Operations (MLOps) Folge #29: Die Qual der Wahl: Data Science Plattform vs. Customized Stack Folge #35: Erfolgsfaktoren für Machine Learning Projekte mit Philipp Jackmuth von dida Folge #43: Damit es im Live-Betrieb nicht kracht: Vermeidung von Overfitting & Data Leakage Folge #54: Modell-Deployment: Wie bringe ich mein Modell in die Produktion? Technologien & Tools Datenvisualisierung: Azure Databricks, AWS Quicksight, Redash Entwicklungsumgebung: VSCode, INWT Python IDE V2, Remote Explorer, Pycharm Versionskontrolle: GitHub, GitLab, Azure DevOps CI/CD: GitHub Actions, GitLab CI, Jenkins Deployment: Kubernetes, Docker, Helm, ArgoCD Experiment-Tracking: MLFlow, DVC, Tensorboard Monitoring: Prometheus, Grafana, AWS Cloudwatch
Es gibt viele Wege ein Problem zu lösen, doch wie würdest du es tun?Softwareentwicklung ist weit mehr als nur Programmieren. Es geht darum, das eigentliche Problem zu verstehen, sich zu fragen, ob dies wirklich ein Problem ist und ob es sich (in Bezug auf den Aufwand) lohnt, dieses Problem zu lösen und wie man es lösen würde. Verschiedene Lösungswege zu durchdenken, die Vor- und Nachteile abzuwägen und final die beste Entscheidung zu treffen, ist einer der größten Skills von erfahrenen Softwareentwickler*innen.In dieser Episode machen wir genau das: Eine Art Design- bzw. Architektur- bzw. Implementierungs-Diskussion. Wir stellen die Frage “Wie würdest du folgendes Problem lösen und implementieren?”. Das Szenario ist dabei eine Art Preis-Monitor. Ähnlich wie Geizhals oder Idealo, doch deutlich simpler.Bonus: Brauchen wir ein Cron-Package in jeder Programmiersprache?Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:
SANS Internet Stormcenter Daily Network/Cyber Security and Information Security Stormcast
Using Zeek, Snort, and Grafana to Detect Crypto Mining Malware https://isc.sans.edu/diary/%5BGuest%20Diary%5D%20Using%20Zeek%2C%20Snort%2C%20and%20Grafana%20to%20Detect%20Crypto%20Mining%20Malware/31472 The Nearest Neighbor Attack: How A Russian APT Weaponized Nearby Wi-Fi Networks for Covert Access https://www.volexity.com/blog/2024/11/22/the-nearest-neighbor-attack-how-a-russian-apt-weaponized-nearby-wi-fi-networks-for-covert-access/ Introducing NachoVPN: One VPN Server to Pwn Them All https://blog.amberwolf.com/blog/2024/november/introducing-nachovpn---one-vpn-server-to-pwn-them-all/ Keycloak Patches https://github.com/keycloak/keycloak/security/advisories/GHSA-93ww-43rr-79v3 Palo Alto Networks Global Protect App https://security.paloaltonetworks.com/CVE-2024-5921 PHP Updates https://github.com/php/php-src/security/advisories/GHSA-g665-fm4p-vhff
A daily update on what's happening in the Rocket Pool community on Discord, Twitter, Reddit, and the DAO forum. #RocketPool #rpl #Ethereum #eth #crypto #cryptocurrency #staking #news Podcast RSS: https://anchor.fm/s/cd29a3d8/podcast/rss Anchor.fm: https://anchor.fm/rocket-fuel Spotify: https://open.spotify.com/show/0Mvta9d2MsKq2u62w8RSoo Apple Podcasts: https://podcasts.apple.com/us/podcast/rocket-fuel/id1655014529 0:00 - Welcome Rocket Pool news 0:39 - Saturn 0 oDAO vote starts https://discord.com/channels/405159462932971535/405163979141545995/1297821098729013259 2:39 - Constellation's amazing weekend https://discord.com/channels/405159462932971535/405163713063288832/1296868614829510677 https://discord.com/channels/968587363536220252/1153574664174579842/1297061870456410112 https://discord.com/channels/968587363536220252/968589754264346664/1297145899968892979 https://discord.com/channels/405159462932971535/405503016234385409/1297218290753736873 https://discord.com/channels/405159462932971535/894377118828486666/1297247877143466105 https://discord.com/channels/968587363536220252/1153574664174579842/1297306459951857795 https://discord.com/channels/968587363536220252/1153574664174579842/1297357717043806260 https://discord.com/channels/968587363536220252/1164433179092983869/1297617711068872798 https://discord.com/channels/405159462932971535/894377118828486666/1297617144858542242 https://discord.com/channels/968587363536220252/1153574664174579842/1297632131102806107 https://discord.com/channels/405159462932971535/405163713063288832/1297770284790579211 https://discord.com/channels/405159462932971535/405163713063288832/1297786472635695165 https://discord.com/channels/405159462932971535/405163713063288832/1297819696237772852 https://discord.com/channels/405159462932971535/405163713063288832/1297930490749386823 https://discord.com/channels/968587363536220252/1153574664174579842/1297826914077118528 https://discord.com/channels/405159462932971535/894377118828486666/1297891166787731540 https://discord.com/channels/968587363536220252/1153574664174579842/1297531478300954687 13:40 - GMC nominations last day https://dao.rocketpool.net/t/2024-gmc-nomination-thread-year-3/3336 16:46 - Rewards in Saturn 0 https://discord.com/channels/405159462932971535/704196071881965589/1297215186192568391 19:21 - Thomas asks for Aave RPL https://discord.com/channels/405159462932971535/405163713063288832/1297035888798334987 20:01 - Team vote on funding https://discord.com/channels/405159462932971535/894377758489210930/1296689153156583445 21:03 - RP DeFi sheet https://x.com/StakeRocketPool/status/1847456507069075823 22:09 - Workaround for Grafana issues https://discord.com/channels/405159462932971535/468923220607762485/1296976465815928903 22:47 - Upgrade POAPs feature community submissions https://discord.com/channels/405159462932971535/1295724029956849714/1296936590198706266 In other news 23:54 - Vitalik replies to Jasper https://x.com/vitalikbuterin/status/1847999945829433451? 25:41 - Halooo to become yellow https://discord.com/channels/405159462932971535/1008896635734069349/1297735992421126146
A daily update on what's happening in the Rocket Pool community on Discord, Twitter, Reddit, and the DAO forum. #RocketPool #rpl #Ethereum #eth #crypto #cryptocurrency #staking #news Podcast RSS: https://anchor.fm/s/cd29a3d8/podcast/rss Anchor.fm: https://anchor.fm/rocket-fuel Spotify: https://open.spotify.com/show/0Mvta9d2MsKq2u62w8RSoo Apple Podcasts: https://podcasts.apple.com/us/podcast/rocket-fuel/id1655014529 0:00 - Welcome Rocket Pool news 0:38 - Community call with NodeSet and NS chat https://discord.com/channels/968587363536220252/1287508898261241957/1295783514502987807 https://discord.com/channels/968587363536220252/968589754264346664/1295831169514078290 https://discord.com/channels/968587363536220252/968608014116466698/1295898580699189289 https://discord.com/channels/968587363536220252/1164433179092983869/1295905976620159037 https://discord.com/channels/405159462932971535/894377118828486666/1295906759097192541 https://discord.com/channels/968587363536220252/1164433179092983869/1295905976620159037 https://discord.com/channels/405159462932971535/405163713063288832/1296020176063696987 https://discord.com/channels/987570376303341568/987903538334138428/1296043406270664758 https://docs.google.com/spreadsheets/d/1-euxJOqFwzbQ7npYfvm2sUZnxbb6G3HgbBnsaePkbV0/edit?gid=66661233#gid=66661233 https://discord.com/channels/968587363536220252/1153574664174579842/1296128737930117120 16:01 - Dev funding vote needs to hit quorum https://vote.rocketpool.net/#/proposal/0x2c1cf6c335ee8f07cc955133b6e0c5f7e6bc3fd0676c4d06d32f678c06ab3a0e 17:16 - Saturn 0 thoughts https://discord.com/channels/405159462932971535/405163713063288832/1295796569857069108 19:43 - 1.13.10 broke Grafana for some https://discord.com/channels/405159462932971535/468923220607762485/1295778880543657984 21:13 - Deposits coming https://discord.com/channels/405159462932971535/405163713063288832/1296125395740917803 24:22 - Hanniabu working on LST dashboard https://discord.com/channels/405159462932971535/1295848930776715357 28:00 - Team prep for Bangkok https://discord.com/channels/405159462932971535/1040445327360139284/1295805190246760449 29:24 - Client update https://github.com/NethermindEth/nethermind/releases/tag/1.29.1 Staking news 31:21 - Nectar announcement https://x.com/nektarnetwork/status/1846210269334175881 In other news 33:15 - Major Firefox bug https://x.com/optimizoor/status/1846328252379566472
#279: One topic continues to emerge in conversations about technology and observability — OpenTelemetry. It's clear that OpenTelemetry has become fundamental in the tech industry. In this episode, we talk with Paschalis Tsilias, a software engineer with Grafana, about Alloy, a vendor-neutral distribution of the OpenTelemetry (OTel) Collector. Paschalis' contact information: X (Formerly Twitter): https://x.com/tpaschalis_ LinkedIn: https://www.linkedin.com/in/tsilias/ YouTube channel: https://youtube.com/devopsparadox Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/ Slack: https://www.devopsparadox.com/slack/ Connect with us at: https://www.devopsparadox.com/contact/
OpenShift is an open-source container application platform that brings Docker and Kubernetes together to help organizations build, deploy, and manage containerized applications. Open source OpenShift (OKD) powers some of the largest Kubernetes clusters, such as in CERN, the European Organization for Nuclear Research. Join us for a fireside chat with an OpenShift veteran Radek Vokál, on the current state of the OpenShift project, its vibrant community, and the pivotal role Red Hat plays in its development and growth. In this episode we delved into how observability is integrated within OpenShift, discussing key strategies, tools and open source projects for effective monitoring, troubleshooting and cost management. Whether you're managing complex deployments or seeking to enhance system performance, this episode offers valuable insights and practical guidance on leveraging OpenShift for improved observability. Don't miss this in-depth discussion! Our guest is Radek Vokál, Senior Manager, Red Hat Observability Product Management. With 20 years at Red Hat, Radek has been involved in OpenShift from engineering and product side. Radek currently leads product management for the OpenShift Observability. Radek has also been a co-organizer of the DevConf.cz open source community conference in the Czech Republic for the last 17 years. The episode was live-streamed on 8 August 2024 and the video is available at https://www.youtube.com/watch?v=oPNHJ7Nn8uA 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.youtube.com/@openobservabilitytalks https://www.twitch.tv/openobservability Show Notes: 00:00 Episode and guest intro 06:29 What's OpenShift 10:22 OKD (OpenShift Core) open source 14:49 Product management for open source 19:27 Cost and resource efficiency of Kubernetes clusters 30:06 Observability at OpenShift 39:54 Open source observability stack used at OpenShift 42:12 Moving away from Grafana and adopting Perses OSS 45:04 OpenShift roadmap 48:40 Adopting OpenTelemetry 56:52 CrowdStrike and Azure outages 58:15 AWS taking down a suite of services 1:00:28 Jaeger V2 is coming 1:02:45 Episode outro Resources: https://okd.io/ https://www.redhat.com/observability https://github.com/korrel8r/korrel8r https://horovits.medium.com/033e7518eefb https://www.linkedin.com/feed/update/urn:li:share:7223575687339622400/ Socials: Twitter: https://twitter.com/OpenObserv YouTube: https://www.youtube.com/@openobservabilitytalks Dotan Horovits ============ Twitter: @horovits LinkedIn: www.linkedin.com/in/horovits Mastodon: @horovits@fosstodon Radek Vokál ========== Twitter: x.com/radekvokal LInkedin: https://www.linkedin.com/in/radekvokal/
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.
Dan Neciu, technical co-founder and tech lead of CareerOS, shares intriguing production horror stories, discusses the importance of rigorous testing, and provides valuable insights into preventing and managing software bugs in both backend and frontend development. Links https://neciudan.dev https://www.youtube.com/@NeciuDan https://www.linkedin.com/in/neciudan https://x.com/neciudan We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Emily, at emily.kochanekketner@logrocket.com (mailto:emily.kochanekketner@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understand where your users are struggling by trying it for free at [LogRocket.com]. Try LogRocket for free today.(https://logrocket.com/signup/?pdr) Special Guest: Dan Neciu.
Dive into a fascinating discussion blending the worlds of literature, gaming, and tech. In this episode, Chuck and Dan explore the intriguing connections between The Hobbit and The Lord of the Rings, including an extraordinary tale about Israeli pilots translating The Hobbit during wartime. They share insights into Guy Gavriel Kaye's standalone novel Tigana, inspired by Renaissance Italy, and discuss the complexities and strategies of board games like Monopoly and Letters from Whitechapel.But that's not all. The episode takes a technical turn as the speakers delve into the dynamic world of application monitoring with Prometheus. They unpack the mechanics of event loop lag, heap usage, and GC storms, and share how Prometheus's query language (PromQL) and integration with Grafana can proactively manage and solve performance issues. Hear about real-time alerting, sophisticated querying, and the practical applications of these tools in companies like Next Insurance and Sisense.This episode is packed with information - from managing performance metrics and alerting systems to insightful discussions on favorite standalone fantasy novels and the productivity hacks that keep our hosts on top of their game. So, sit back and join us for an engaging and informative session on Top End Devs!SocialsLinkedIn: Chuck WoodLinkedIn: Dan ShappirPicksCharles - Letters from Whitechapel | Board GameCharles - TrainingPeaks | Empower Your TrainingBecome a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
This week Brandy Smith joins Mandi to talk all things Grafana, and some cool Raspberry Pi projects!
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.
ESPHome dev dishes on device updates, Immich license drama heats up, Alex's DIY server fix, and Chris reports on mobile tech trip test. Special Guest: Keith Burzinski.
Matt Ray, the community manager for the CNCF sandbox project OpenCost, discusses their cloud and Kubernetes cost monitoring technology. He covers the capabilities of OpenCost in tracking cloud expenses and its new feature for monitoring carbon costs. Matt elaborates on the project's origin, its open source community, and the collaborative effort with other companies like Grafana and Microsoft. The conversation covers the community's growth, contribution processes, and OpenCost's goals for becoming more diverse and integrated with other technologies. Matt also reflects on the increasing interest in cost monitoring and his personal journey in the open source community. 00:00 Introduction to Matt Ray and OpenCost 01:09 OpenCost's Origins and CNCF Contribution 02:25 OpenCost vs. KubeCost: Defining the Boundaries 03:35 Adoption and Integration of OpenCost 04:30 Community Contributions and Project Growth 07:00 Flexibility and Use Cases of OpenCost 13:58 Becoming a Committer and Maintainer 14:47 Community Engagement and Participation 15:25 Future Plans and Focus 16:39 Carbon Cost and Plugin Architecture 17:53 Personal Journey in Open Source Guest: Matt Ray has been active in Open Source and DevOps communities for over two decades and has spoken at and helped organize many conferences and meetups. He is currently the Senior Community Manager at Kubecost for the CNCF Sandbox Project OpenCost. He has worked in and with enterprises and startups across a wide variety of industries including banking, retail, and government. He currently resides in Sydney, Australia after relocating from Austin, Texas. He co-hosts the Software Defined Talk podcast and is active on Mastodon, GitHub, and too many Slacks.
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.
No one wants to get Coinbase's $65 million observability bill in the future. Sure, observability comes with a necessary cost. But that cost cannot exceed the concrete and perceived value on balance sheets and the minds of leaders. Sofia Fosdick shares practical insights on curbing high observability costs. She's a senior account executive at Honeycomb.io and has held similar titles at Turbunomic, Dynatrace, and Grafana. Like always, this is not a sponsored episode!We tackled the cost issue by covering ideas like aligning cost with value, event-based systems, and dynamic sampling. You will not want to miss this conversation if your observability bill is starting to look dangerous.You can connect with Sofia via LinkedIn This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit read.srepath.com
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.
In this conversation, Dustin Rea discusses the challenges faced by one of his clients who has a CRM. The CRM is built on a legacy codebase with issues in quality, scalability, and deliverability. The team has been working on improving the system, but there are still problems with emails, SMS, payments, and automations. The company is mission-driven and relies on the CRM to run their business, so rebuilding customer trust is crucial. They have made some improvements in infrastructure and email deliverability, but there is still work to be done. The conversation covered several topics related to database architecture and system design. The main themes include database optimization, handling heavy reads and writes, improving error handling and incident response, and enhancing observability. The speakers discussed the need for a purpose-driven database, implementing caching with Redis, tracking heavy queries, and addressing inconsistencies in the email service. They also mentioned the importance of logging and monitoring tools like Sentry and Grafana. Overall, the conversation highlighted the challenges and potential solutions for improving the performance and reliability of the system.Takeaways:- The client's CRM system is built on a legacy codebase and has issues with quality, scalability, and deliverability. - The team has been working on improving the system, but there are still problems with emails, SMS, payments, and automations.- Rebuilding customer trust is crucial for the company, as the CRM is core to their business.- Improvements have been made in infrastructure and email deliverability, but there is still work to be done.- Optimizing database performance is crucial for handling heavy reads and writes.- Implementing caching with Redis can help improve performance and reduce load on the database.- Tracking and optimizing heavy queries is important for identifying and resolving performance issues.- Improving error handling and incident response processes can help address inconsistencies and ensure reliable system operation.- Enhancing observability through logging and monitoring tools can provide valuable insights for troubleshooting and improving system performance.
Linux Crosses 4% market share worldwide! K9 Mail simplifies adding new emails accounts, Audacity heads to the cloud, and cooling your PC with Grafana.
Venture Unlocked: The playbook for venture capital managers.
Follow me @samirkaji for my thoughts on the venture market, with a focus on the continued evolution of the VC landscape.We have a conversation with Mitchell Green, Founder and Managing Partner at Lead Edge Capital. With offices in New York and Santa Barbara, the firm has over $5B in Assets under management and specializes in helping growth-stage companies scale.The firm has an interesting model that combines elements of PE, growth, and an active network of over 700 LPs to build a very powerful moat.I was really interested in several business components, especially the LP base's strategic nature and the programmatic way they evaluate companies. A word from our sponsor:Invest in innovation. Allocate allows investors to access top-tier private funds and co-investment opportunities within the technology sector.Despite the enormous growth of the private markets and the rapid increase of retail demand for private alternatives, investing in the highest quality private assets within the innovation sector still remains limited to institutions and ultra-connected high net worth individuals.With Allocate, wealth advisors, banks, family offices, and other qualified investors can have a streamlined way to responsibly invest with confidence.Go to allocate.co to find out more and please sign up to the waitlist to learn more and get early access to the platform.About Mitchell Green:Mitchell Green is the Founder and Managing Partner at Lead Edge Capital, a $5B growth equity firm investing in software, internet, and tech-enabled services businesses globally. Mitchell oversees the fund's global activities and has led several of the fund's largest investments, including Alibaba Group, Asana, Bumble, FIGS, Grafana, SignalSciences, Spotify, Toast, Uber, and Wise. His career began with roles on the investment teams at Bessemer Venture Partners and Eastern Advisors. Mitchell is a former nationally ranked alpine ski racer and currently serves on the boards of the U.S. Ski & Snowboard Foundation and the Laguna Blanca School in Santa Barbara, CA.Mitchell holds a B.A. in Economics from Williams College and an M.B.A. in Marketing from the Wharton School at the University of Pennsylvania.In this episode, we discuss:(01:38) Shares the origin story of Lead Edge Capital, reflecting on the early experiences before 2009, and the influence of Bessemer's deal-sourcing approach of cold calling and direct outreach.(09:57) The value of being his own boss and learning from failures(12:35) Building a team for outbound cold calling to find unique investment opportunities.(15:27) Leveraging LPs in the due diligence process for valuable insights and validation of potential investments(17:21) Creating a community among LPs where engagement and assistance are core expectations(20:55) The resilience and opportunistic nature of high-net-worth individuals during market downturns(21:59) The "moneyball" approach to investment criteria, prioritizing revenue, growth, gross margins, and capital efficiency(26:00) A success story of investing in a rapidly growing, COVID-enabled electronic signatures company(30:32) Many companies raising venture capital should not exist(36:09) The need for persistence to get into the best companies(38:57) Trusting your instincts and the strategic advantage of being contrarian in investmentI'd love to know what you took away from this conversation with Mitchell. Follow me @SamirKaji and give me your insights and questions with the hashtag #ventureunlocked. If you'd like to be considered as a guest or have someone you'd like to hear from (GP or LP), drop me a direct message on Twitter.Podcast Production support provided by Agent Bee This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit ventureunlocked.substack.com
Ronald McCollum (@RonaldMcCollam, Solutions Engineering @GrafanaLabs) talks about updates in the observability space and learning more about Grafana and data visualization.SHOW: 799CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Find "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and SpotifyKeep up to date with Enterprise Tech with theCUBELearn More About Azure Offerings : Learn more about Azure Migrate and Modernize & Azure Innovate!Azure Free Cloud Resource Kit : Step-by-step guidance, resources and expert advice, from SHOW NOTES:Grafana (homepage)Getting Started with Grafana Book by RonaldTopic 1 - Welcome to the show. Before diving into today's discussion, tell us a little about your background.Topic 2 - We last talked about Grafana back in 2019 and 2020. Observability continues to be a hot topic, how are you seeing the open-source community and open-source tools evolve in this space?Topic 3 - We always hear about Grafana as a visualization tool. Grafana AND something (Grafana and Prometheus, Grafana and (insert logging/observability tool here). Is that still a fair assessment? Where does Grafana fit in a modern cloud-native observability stack these days?Topic 4 - When you are speaking to folks out there, where does the data visualization story resonate the most in the organization, and does it become at times political and cultural (meaning cultural changes need to happen)? There can be an ROI/Business case to be made; developers integrations that will need to happen, SRE operations changes, etc. How do you get something that likely spans many different parts of the organization on board?Topic 5 - Anytime I think about observability I think in two stages. Identification of the problem and resolution of the problem. Some tools address one or the other, and some attempt to do both. Where does Grafana fit on this continuum?Topic 6 - I have to ask the AI question. How has AI changed or in your opinion will change observability and visualization in the near future?Topic 7 - You've literally written the book on Grafana so this is a softball question. For those who are interested, how would you recommend they get started with GrafanaFEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
Si tenéis TeslaMate montado para vuestro coche, es muy fácil añadir esta serie de nuevos paneles que nos muestran información adicional o presentada de otra forma. Es increíble la de estadísticas que se pueden sacar con la información que recopila TeslaMate.
Guest Angie Byron Panelist Richard Littauer Show Notes Hello and welcome to Sustain! Richard is in Portland at FOSSY, the Free and Open Source Software Yearly conference that is held by the Software Freedom Conservancy. In this episode, we're joined by Angie Byron, the Director of Community at Aiven, a leading open source data platform. Angie brings us insights from her role overseeing 11 open source projects, explaining how they provide managed services and security updates for several data projects, and highlighting the importance of prioritizing by impact. She also gives us a peek into their “start at the end” exercise used for goal setting and talks about the challenges of transparency and confidentiality in open source projects. Tune in now and download this episode to hear more! [00:00:39] Angie explains that Aiven is an open source data platform that provides managed services and security updates for several open source data projects such as Apache Kafka, MySQL, Postgres, Redis, and Grafana. [00:01:30] Angie shares that she's the Director of Community at Aiven and has been there for a couple of months. She talks about her role as a meta community manager, overseeing 11 open source projects with a small team. [00:02:32] There's a discussion by Angie on the importance of prioritizing by impact and empowering community members, and she explains the “start at the end” exercise she uses for setting their goals, and she explains using the Open Practice Library, which is a division of Red Hat. [00:07:17] Richard asks about the challenges of balancing transparency and confidentiality in open source projects. Angie shares that they're working on a public-facing version of a roadmap with an ideation system. [00:08:23] Angie discusses three main goals of their work: increasing revenue, reducing costs, and mitigating risk. [00:09:59] Angie explains that she internalizes achievement by helping others grow, thrive, and accomplish their goals, with her success and that of her team tied to the success of others. [00:11:24] Find out where you can learn more about Aiven's community efforts, and where you can learn more about Angie online. Links SustainOSS (https://sustainoss.org/) SustainOSS Twitter (https://twitter.com/SustainOSS?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) SustainOSS Discourse (https://discourse.sustainoss.org/) podcast@sustainoss.org (mailto:podcast@sustainoss.org) SustainOSS Mastodon (https://mastodon.social/tags/sustainoss) Richard Littauer Twitter (https://twitter.com/richlitt?lang=en) Software Freedom Conservancy (https://sfconservancy.org/) Open OSS (https://openoss.sourceforge.net/) Angie Byron Tech Blog (https://openpracticelibrary.com/) Angie Byron Twitter (https://twitter.com/webchick) Angie Byron LinkedIn (https://ca.linkedin.com/in/webchick?original_referer=https%3A%2F%2Fwww.google.com%2F) Angie Byron Mastodon (https://mastodon.social/@webchick) Aiven (https://aiven.io/) Open Practice Library (https://openpracticelibrary.com/) 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: Angie Byron.
Deploying Nextcloud the Nix way promises a paradise of reproducibility and simplicity. But is it just a painful trek through configuration hell? We built the dream Nextcloud using Nix and faced reality. Special Guest: Alex Kretzschmar.
Alex Ellis' new actions-batch project uses GitHub Actions as a time-sharing supercomputer, DevDocs.io combines multiple API documentations in a fast, organized, and searchable interface, Jarred Sumner announces Bun's very own JavaScript shell, Shoelace is a forward-thinking library of web components & Martin Heinz writes an awesome guide to building an indoor air quality monitoring system with Prometheus, Grafana & a CO2 sensor.
Alex Ellis' new actions-batch project uses GitHub Actions as a time-sharing supercomputer, DevDocs.io combines multiple API documentations in a fast, organized, and searchable interface, Jarred Sumner announces Bun's very own JavaScript shell, Shoelace is a forward-thinking library of web components & Martin Heinz writes an awesome guide to building an indoor air quality monitoring system with Prometheus, Grafana & a CO2 sensor.
Alex Ellis' new actions-batch project uses GitHub Actions as a time-sharing supercomputer, DevDocs.io combines multiple API documentations in a fast, organized, and searchable interface, Jarred Sumner announces Bun's very own JavaScript shell, Shoelace is a forward-thinking library of web components & Martin Heinz writes an awesome guide to building an indoor air quality monitoring system with Prometheus, Grafana & a CO2 sensor.
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
We look back at what has changed, what's failed us, and what's sticking around in our homelabs. Special Guest: Brent Gervais.
In this episode of PING, Sara Dickinson from Sinodun Internet Technologies and Terry Manderson, VP, Information Security and Network Engineering at ICANN discuss the ICANN DNS stats collector system which ICANN commissioned, and Sinodun wrote for them. This system consists of two parts, a DNS stats compactor framework which captures data in the C-DNS format, a specified set of data in CBOR format, and the DNS stats visualiser which is uses Grafana. The C-DNS format is not a complete packet capture but allows the recreation of all the DNS context of the query and response. It was standardised in 2019, in an RFC authored by Sara, her partner John, Jim Hague, John Bond and Terry. Unlike DSC, which is a 5 minute sample aggregation system, this system is able to preserve a significantly larger amount of the seen DNS query information and can even be used to re-create an on-the-wire view of the DNS (albiet not 1 to 1 identical to the original IP packetflows)
Today I am speaking with Slava, the Founder of Stake Machine, an Indexer at The Graph. Slava has been participating in The Graph since Mission Control, the initial testnet program that launched the network, and is well-known throughout the Indexer community.During this interview, Slava talks about his background in web2, working as an entrepreneur, and how he became interested in web3. We then talk a lot about Slava's first experiences working in web3, how he discovered The Graph, and how he went to work as an Indexer. Along the way, Slava provides some great insights into the early days and Mission Control, The Graph's new roadmap (called New Era) and the Sunrise of Decentralized Data, how he works full-time in web3 and still manages to operate Stake Machine, and the incredibly useful Grafana dashboard Stake Machine maintains. Show Notes and TranscriptsThe GRTiQ Podcast takes listeners inside web3 and The Graph (GRT) by interviewing members of the ecosystem. Please help support this project and build the community by subscribing and leaving a review.Twitter: GRT_iQwww.GRTiQ.com
A key compromised from a crash dump (and the many, many lessons that followed), more examples of mishandling secrets, URL parsing mismatches show path traversal works well in Rust, an old Linux kernel bug shows how brittle code can be (even when it's heavily audited), an example of keeping OSS projects alive, a quick note on BLASTPASS, and a look at privacy in cars, and more! Show Notes: https://securityweekly.com/asw-254
Sean O'Connor is the Director of Engineering at Datadog. Datadog is the essential monitoring and security platform for cloud applications. Sean discusses his transition from an individual contributor to management and shares why he chose Datadog, emphasizing the appeal of high-scale problems and the real business nature of the company. They delve into the importance of performance management and observability and cover the cultural and technical challenges Sean faces in managing a diverse, geographically spread team, and discuss the transition at Datadog from a decentralized model to more centralized platforms, the corresponding changes in both technical strategies and people management, and what excites him about Datadog's future, including the integration of security offerings into developers' daily experiences, and the evolution of Kubernetes and internal build and release tooling. __ Datadog (https://www.datadoghq.com/) Follow Datadog on LinkedIn (https://www.linkedin.com/company/datadog/), Instagram (https://www.instagram.com/datadoghq/), Youtube (https://www.youtube.com/user/DatadogHQ), or Twitter (https://twitter.com/datadoghq). Follow Sean O'Connor on LinkedIn (https://www.linkedin.com/in/seanoc/) or Twitter (https://twitter.com/theSeanOC). Visit his website at seanoc.com (https://seanoc.com/). Follow thoughtbot on Twitter (https://twitter.com/thoughtbot) or LinkedIn (https://www.linkedin.com/company/150727/). Become a Sponsor (https://thoughtbot.com/sponsorship) of Giant Robots! Transcript: VICTORIA: This is the Giant Robots Smashing Into Other Giant Robots Podcast, where we explore the design, development, and business of great products. I'm your host, Victoria Guido. WILL: And I'm your other host, Will Larry. And with us today is Sean O'Connor. He is the Director of Engineering at Datadog. Datadog is the essential monitoring and security platform for cloud applications. Sean, thank you for joining us. SEAN: Hi, thanks for having me on. VICTORIA: Yeah, I'm super excited to get to talking with you about everything cloud, and DevOps, and engineering. But why don't we first start with just a conversation about what's going on in your life? Is there any exciting personal moment coming up for you soon? SEAN: Yeah, my wife and I are expecting our first kiddo in the next few weeks, so getting us prepared for that as we can and trying to get as much sleep as we can. [laughs] WILL: Get as much sleep as you can now, so...[laughs] I have a question around that. When you first found out that you're going to be a dad, what was your feeling? Because I remember the feeling that I had; it was a mixed reaction of just everything. So, I just wanted to see what was your reaction whenever you found out that you're going to be a dad for the first time. SEAN: Yeah, I was pretty excited. My wife and I had been kind of trying for this for a little while. We're both kind of at the older end for new parents in our late 30s. So, yeah, excited but definitely, I don't know, maybe a certain amount of, I don't know about fear but, you know, maybe just concerned with change and how different life will be, but mostly excitement and happiness. [laughs] WILL: Yeah, I remember the excitement and happiness. But I also remember, like, wait, I don't know exactly what to do in this situation. And what about the situations that I have no idea about and things like that? So, I will tell you, kids are resilient. You're going to do great as a dad. [laughter] SEAN: Yep. Yeah, definitely; I think I feel much more comfortable about the idea of being a parent now than I may have been in my 20s. But yeah, definitely, the idea of being responsible for and raising a whole other human is intimidating. [laughs] VICTORIA: I think the fact that you're worried about it is a good sign [laughs], right? SEAN: I hope so. [laughs] VICTORIA: Like, you understand that it's difficult. You're going to be a great parent just by the fact that you understand it's difficult and there's a lot of work ahead. So, I think I'm really excited for you. And I'm glad we get to talk to you at this point because probably when the episode comes out, you'll be able to listen to it with your new baby in hand. So... WILL: Good. Excited for it. [laughs] VICTORIA: Yeah, love that. Well, great. Well, why don't you tell me a little bit more about your other background, your professional background? What brought you to the role you're into today? SEAN: Yeah. Well, like we mentioned in the beginning; currently, I'm a Director of Engineering at Datadog. I run our computing cloud team. It's responsible for all of our Kubernetes infrastructure, as well as kind of all the tooling for dealing with the cloud providers that we run on and as well as kind of [inaudible 02:54] crypto infrastructure. Within Datadog, I've always been in management roles though I've kind of bounced around. I've been here for about five and a half years. So, before this, I was running a data store infrastructure team. Before that, when I first came in, I was running the APM product team, kind of bounced around between product and infra. And that's kind of, I guess, been a lot of the story of much of my career is wearing lots of different hats and kind of bouncing around between kind of infrastructure-focused roles and product-focused roles. So, before this, I was running the back-end engineering and DevOps teams at Bitly. So, I was there for about five and a half years, started there originally as a software engineer. And before that, a lot of early-stage startups and consulting doing whatever needed doing, and getting to learn about lots of different kind of industries and domains, which is always fun. [laughs] VICTORIA: That's great. So, you had that broad range of experience coming from all different areas of operations in my mind, which is, like, security and infrastructure, and now working your way into a management position. What was the challenge for you in making that switch from being such a strong individual contributor into an effective manager? SEAN: Sure. You know, I think certainly there is a lot of kind of the classic challenges of learning to let go but still staying involved, right? You know, as a manager, if you're working on critical path tasks hands-on yourself, that's probably not a good sign. [laughs] On the other hand, if you come, like, completely divorced from what your team is doing, especially as, like, a team lead level kind of manager, you know, that's not great either. So, figuring that balancing act definitely was a bit tricky for me. Similarly, I think time management and learning to accept that, especially as you get into, like, further steps along in your career that, like, you know, it's not even a question of keeping all the balls in the air, but more figuring out, like, what balls are made out of rubber and which ones are made out of glass, and maybe keeping those ones in the air. [laughs] So, just a lot of those kind of, like, you know, prioritization and figuring out, like, what the right level of involvement and context is, is definitely the eternal learning, I think, for me. [laughs] WILL: I remember whenever I was looking to change jobs, kind of my mindset was I wanted to work at thoughtbot more because of the values. And I wanted to learn and challenge myself and things like that. And it was so much more, but those were some of the main items that I wanted to experience in my next job. So, when you changed, and you went from Bitly to Datadog, what was that thing that made you say, I want to join Datadog? SEAN: Yeah, that was definitely an interesting job search and transition. So, at that point in time, I was living in New York. I was looking to stay in New York. So, I was kind of talking to a bunch of different companies. Both from personal experience and from talking to some friends, I wasn't super interested in looking at, like, working at mostly, like, the super big, you know, Google, Amazon, Meta type of companies. But also, having done, like, super early stage, you know, like, seed, series A type of companies, having played that game, I wasn't in a place in my life to do that either. [laughs] So, I was looking kind of in between that space. So, this would have been in 2018. So, I was talking to a lot of, like, series A and series B-type companies. And most of them were, like, real businesses. [laughs] Like, they may not be profitable yet, but, like, they had a very clear idea of how they would get there and, like, what that would look like. And so, that was pleasant compared to some past points in my career. But a lot of them, you know, I was effectively doing, like, automation of human processes, which is important. It has value. But it means that, like, realistically, this company will never have more than 50 servers. And when I worked at Bitly, I did have a taste for kind of working in those high-scale, high-availability type environments. So, Datadog initially was appealing because it kind of checked all those boxes of, you know, very high-scale problems, high availability needs, a very real business. [laughs] This is before Datadog had gone public. And then, as I started to talk to them and got to know them, I also really liked a lot of kind of the culture and all the people I interacted with. So, it became a very clear choice very quickly as that process moved along. VICTORIA: Yeah, a very real business. Datadog is one of the Gartner's Magic leaders for APM and observability in the industry. And I understand you're also one of the larger SaaS solutions running Kubernetes, right? SEAN: Yep. Yeah, at this point. Five years ago, that story was maybe a little bit different. [laughs] But yeah, no, no, we definitely have a pretty substantial Kubernetes suite that we run everything on top of. And we get the blessings and curses of we get some really cool problems to work on, but there's also a lot of problems that we come across that when we talk to kind of peers in the industry about kind of how they're trying to solve them, they don't have answers yet either. [laughs] So, we get to kind of figure out a lot of that kind of early discovery games. [laughs] VICTORIA: Yeah. I like how exciting and growing this industry is around kind of your compute and monitoring the performance of your applications. I wonder if you could kind of speak to our audience a little bit, who may not have a big technical background, about just why it's important to think about performance management and observability early on in your application. SEAN: There can be a few pieces there. One of the bigger ones, I think, is thinking about that kind of early and getting used to working with that kind of tooling early in a project or a product. I think it has an analogous effect to, like, thinking about, like, compounding interest in, like, a savings account or investing or something like that. In that, by having those tools available early on and having that visibility available early on, you can really both initially get a lot of value and just kind of understanding kind of what's happening with your system and very quickly troubleshoot problems and make sure things are running efficiently. But then that can help get to a place where you get to that, like, flywheel effect as you're kind of building your product of, as you're able to solve things quickly, that means you have more time to invest in other parts of the product, and so on and so forth. So, yeah, it's one of those things where kind of the earlier you can get started on that, the more that benefit gets amplified over time. And thankfully, with Datadog and other offerings like that now, you can get started with that relatively quickly, right? You're not having to necessarily make the choice of, like, oh, can I justify spending a week, a month, whatever, setting up all my own infrastructure for this, as opposed to, you know, plugging in a credit card and getting going right away? And not necessarily starting with everything from day zero but getting started with something and then being able to build on that definitely can be a worthwhile trade-off. [laughs] VICTORIA: That makes sense. And I'm curious your perspective, Will, as a developer on our Lift Off team, which is really about the services around that time when you want to start taking it really seriously. Like, you've built an app [laughs]. You know it's a viable product, and there's a market for it. And just, like, how you think about observability when you're doing your app building. WILL: The approach I really take is, like, what is the end goal? I'm currently on a project right now that we came in later than normal. We're trying to work through that. SEAN: I haven't come from, you know, that kind of consulting and professional services and support kind of place. I'm curious about, like, what, if any, differences or experiences do you have, like, in that context of, like, how do you use your observability tools or, like, what value they have as opposed to maybe more, like, straight product development? VICTORIA: Right. So, we recently partnered with, you know, our platform engineering team worked with the Lift Off team to create a product from scratch. And we built in observability tools with Prometheus, and Grafana, and Sentry so that the developers could instrument their app and build metrics around the performance in the way they expected the application to work so that when it goes live and meets real users, they're confident their users are able to actually use the app with a general acceptable level of latency and other things that are really key to the functionality of the app. And so, I think that the interesting part was, with the founders who don't have a background in IT operations or application monitoring and performance, it sort of makes sense. But it's still maybe a stretch to really see the full value of that, especially when you're just trying to get the app out the door. SEAN: Nice. VICTORIA: [chuckles] That's my answer. What kind of challenges do you have in your role managing this large team in a very competitive company, running a ton of Kubernetes clusters? [laughs] What's your challenges in your director of engineering role there? SEAN: You know, it's definitely a mix of kind of, like, technical or strategic challenges there, as well as people challenges. On the technical and strategic side, the interesting thing for our team right now is we're in the middle of a very interesting transition. Still, today, the teams at Datadog work in very much a 'You build it, you run it' kind of model, right? So, teams working on user-facing features in addition to, like, you know, designing those features and writing the code for that, they're responsible for deploying that code, offering the services that code runs within, being on call for that, so on and so forth. And until relatively recently, that ownership was very intense to the point where some teams maybe even had their own build and release processes. They were running their own data stores. And, like, that was very valuable for much of our history because that let those teams to be very agile and not have to worry about, like, convincing the entire company to change if they needed to make some kind of change. But as we've grown and as, you know, we've kind of taken on a lot more complexity in our environment from, you know, running across more providers, running across more regions, taking on more of regulatory concerns, to kind of the viability of running everything entirely [inaudible 12:13] for those product teams, it has become much harder. [laughs] You start to see a transition where previously the infrastructure teams were much more acting as subject matter experts and consultants to, now, we're increasingly offering more centralized platforms and offerings that can offload a lot of that kind of complexity and the stuff that isn't the core of what the other product-focused teams are trying to do. And so, as we go through that change, it means internally, a lot of our teams, and how we think about our roles, and how we go about doing our work, changes from, like, a very, you know, traditional reliability type one on one consultation and advising type role to effectively internal product development and internal platform development. So, that's a pretty big both mindset and practice shift. [laughs] So, that's one that we're kind of evolving our way through. And, of course, as what happens to kind of things, like, you still have to do all the old stuff while you're doing the new thing. [laughs] You don't get to just stop and just do the new thing. So, that's been an interesting kind of journey and one that we're always kind of figuring out as we go. That is a lot of kind of what I focus on. You know, people wise, you know, we have an interesting aim of...There's about 40 people in my org. They are spread across EMEA and North America with kind of, let's say, hubs in New York and Paris. So, with that, you know, you have a pretty significant time zone difference and some non-trivial cultural differences. [laughs] And so, you know, making sure that everybody is still able to kind of work efficiently, and communicate effectively, and collaborate effectively, while still working within all those constraints is always an ongoing challenge. [laughs] WILL: Yeah, you mentioned the different cultures, the different types of employees you have, and everyone is not the same. And there's so many cultures, so many...whatever people are going through, you as a leader, how do you navigate through that? Like, how do you constantly challenge yourself to be a better leader, knowing that not everyone can be managed the same way, that there's just so much diversity, probably even in your company among your employees? SEAN: I think a lot of it starts from a place of listening and paying attention to kind of just see where people are happy, where they feel like they have unmet needs. As an example, I moved from that last kind of data store-focused team to this computing cloud team last November. And so, as part of that move, probably for the first two or three months that I was in the role, I wasn't particularly driving much in the way of changes or setting much of a vision beyond what the team already had, just because as the new person coming in, it's usually kind of hard to have a lot of credibility and/or even just have the idea of, like, you know, like you're saying, like, what different people are looking for, or what they need, how they will respond best. I just spend a lot of time just talking to people, getting to know the team, building those relationships, getting to know those people, getting to know those groups. And then, from there, figuring out, you know, both where the kind of the high priority areas where change or investment is needed. But then also figuring out, yeah, kind of based on all that, what's the right way to go about that with the different groups? Because yeah, it's definitely isn't a one size fits all solution. But for me, it's always kind of starting from a place of listening and understanding and using that to develop, I guess, empathy for the people involved and understanding their perspectives and then figuring it out from there. I imagine–I don't know, but I imagine thoughtbot's a pretty distributed company. How do you all kind of think about some of those challenges of just navigating people coming from very different contexts? WILL: Yeah, I was going to ask Victoria that because Victoria is one of the leaders of our team here at thoughtbot. So, Victoria, what are your thoughts on it? VICTORIA: I have also one of the most distributed teams at thoughtbot because we do offer 24/7 support to some clients. And we cover time zones from the Pacific through West Africa. So, we just try to create a lot of opportunities for people to engage, whether it's remotely, especially offering a lot of virtual engagement and social engagement remotely. But then also, offering some in-person, whether it's a company in-person event, or encouraging people to engage with their local community and trying to find conferences, meetups, events that are relevant to us as a business, and a great opportunity for them to go and get some in-person interaction. So, I think then encouraging them to bring those ideas back. And, of course, thoughtbot is known for having just incredible remote async communication happening all the time. It's actually almost a little oppressive to keep up with, to be honest, [laughs] but I love it. There's just a lot of...there's GitHub issues. There's Slack communications. There's, like, open messages. And people are really encouraged to contribute to the conversation and bring up any idea and any problem they're having, and actively add to and modify our company policies and procedures so that we can do the best work with each other and know how to work with each other, and to put out the best products. I think that's key to having that conversation, especially for a company that's as big as Datadog and has so many clients, and has become such a leader in this metrics area. Being able to listen within your company and to your clients is probably going to set you up for success for any, like, tech leadership role [laughs]. I'm curious, what are you most excited about now that you've been in the role for a little while? You've heard from a lot of people within the company. Can you share anything in your direction in the next six months or a year that you're super excited about? SEAN: So, there's usually kind of probably two sides to that question of kind of, like, from a product and business standpoint and from an internal infrastructure standpoint, given that's where my day-to-day focus is. You know, on the product side, one thing that's been definitely interesting to watch in my time at Datadog is we really made the transition from kind of, like, a point solution type product to much more of a platform. For context, when I joined Datadog, I think logs had just gone GA, and APM was in beta, I think. So, we were just starting to figure out, like, how we expand beyond the initial infrastructure metrics product. And, obviously, at this point, now we have a whole, you know, suite of offerings. And so, kind of the opportunities that come with that, as far as both different spaces that we can jump into, and kind of the value that we can provide by having all those different capabilities play together really nicely, is exciting and is cool. Like, you know, one of the things that definitely lit an interesting light bulb for me was talking to some of the folks working on our newer security offerings and them talking about how, obviously, you want to meet, you know, your normal requirements in that space, so being able to provide the visibility that, you know, security teams are looking for there. But also, figuring out how we integrate that information into your developers' everyday experience so that they can have more ownership over that aspect of the systems that they're building and make everybody's job easier and more efficient, right? Instead of having, you know, the nightmare spreadsheet whenever a CVE comes out and having some poor TPM chase half the company to get their libraries updated, you know, being able to make that visible in the product where people are doing their work every day, you know, things like that are always kind of exciting opportunities. On the internal side, we're starting to think about, like, what the next major evolution of our kind of Kubernetes and kind of internal build and release tooling looks like. Today, a lot of kind of how teams interact with our Kubernetes infrastructure is still pretty raw. Like, they're working directly with specific Kubernetes clusters, and they are exposed to all the individual Kubernetes primitives, which is very powerful, but it's also a pretty steep learning curve. [laughs] And for a lot of teams, it ends up meaning that there's lots of, you know, knobs that they have to know what they do. But at the end of the day, like, they're not getting a lot of benefit from that, right? There's more just opportunity for them to accidentally put themselves in a bad place. So, we're starting to figure out, like, higher level abstractions and offerings to simplify how all that for teams look like. So, we're still a bit early days in working through that, but it's exciting to figure out, like, how we can still give teams kind of the flexibility and the power that they need but make those experiences much easier and not have to have them become Kubernetes experts just to deploy a simple process. And, yes, so there's some lots of fun challenges in there. [laughs] Mid-Roll Ad: When starting a new project, we understand that you want to make the right choices in technology, features, and investment but that you don't have all year to do extended research. In just a few weeks, thoughtbot's Discovery Sprints deliver a user-centered product journey, a clickable prototype or Proof of Concept, and key market insights from focused user research. We'll help you to identify the primary user flow, decide which framework should be used to bring it to life, and set a firm estimate on future development efforts. Maximize impact and minimize risk with a validated roadmap for your new product. Get started at: tbot.io/sprint. WILL: I have a question around your experience. So, you've been a developer around 20 years. What has been your experience over that 20 years or about of the growth in this market? Because I can only imagine what the market was, you know, in the early 2000s versus right now because I still remember...I still have nightmares of dial-up, dial tone tu-tu-tu. No one could call you, stuff like that. So, what has been your experience, just seeing the market grow from where you started? SEAN: Sure, yeah. I think probably a lot of the biggest pieces of it are just seeing the extent to which...I want to say it was Cory Doctorow, but I'm not sure who actually originally coined the idea, but the idea that, you know, software is eating the world, right? Like, eventually, to some degree, every company becomes a software company because software ends up becoming involved in pretty much everything that we as a society do. So, definitely seeing the progression of that, I think, over that time period has been striking, you know, especially when I was working in more consulting contexts and working more in companies and industries where like, you know, the tech isn't really the focus but just how much that, you know, from an engineering standpoint, relatively basic software can fundamentally transform those businesses and those industries has definitely been striking. And then, you know, I think from a more individual perspective, seeing as, you know, our tools become more sophisticated and easier to access, just seeing how much of a mixed bag that has become [laughs]. And just kind of the flavor of, like, you know, as more people have more powerful tools, that can be very enabling and gives voice to many people. But it also means that the ability of an individual or a small group to abuse those tools in ways that we're maybe not fully ready to deal with as a society has been interesting to see how that's played out. VICTORIA: Yeah. I think you bring up some really great points there. And it reminds me of one of my favorite quotes is that, like, the future is here—it's just not evenly distributed. [laughs] And so, in some communities that I go to, everyone knows what Kubernetes is; everyone knows what DevOps is. It's kind of, like, old news. [laughs] And then, some people are still just like, "What?" [laughs]. It's interesting to think about that and think about the implications on your last point about just how dangerous the supply chain is in building software and how some of these abstractions and some of these things that just make it so easy to build applications can also introduce a good amount of risk into your product and into your business, right? So, I wonder if you can tell me a little bit more about your perspective on security and DevSecOps and what founders might be thinking about to protect their IP and their client's data in their product. SEAN: That one is interesting and tricky in that, like, we're in a little bit of, like, things are better and worse than they ever have been before [laughs], right? Like, there is a certain level of, I think, baseline knowledge and competency that I think company leaders really just have to have now, part of, like, kind of table stakes, which can definitely be challenging, and that, like, that probably was much less, if even the case, you know, 10-20 years ago in a lot of businesses. As an example, right? Like, obviously, like if it's a tech-focused company, like, that can be a thing. But, like, if you're running a plumbing business with a dozen trucks, let's say, like, 20 years ago, you probably didn't have to think that much about data privacy and data security. But, like, now you're almost certainly using some kind of electronic system to kind of manage all your customer records, and your job scheduling, and all that kind of stuff. So, like, now, that is something that's a primary concern for your business. On the flip side of that, I think there is much better resources, and tools, and practices available out there. I forget the name of the tool now. But I remember recently, I was working with a company on the ISO long string of numbers certifications that you tend to want to do when you're handling certain types of data. There was a tool they were able to work with that basically made it super easy for them to, like, gather all the evidence for that and whatnot, in a way where, like, you know, in the past, you probably just had to hire a compliance person to know what you had to do and how to present that. But now, you could just sign up for a SaaS product. And, like, obviously, it can't just do it for you. Like, it's about making your policies. But it still gave you enough support where if you're, like, bootstrapping a company, like, yeah, you probably don't need to hire a specialist to [inaudible 25:08], which is a huge deal. You know, similarly, a lot of things come much safer by default. When you think about, like, the security on something like an iPhone, or an iPad, or an Android device, like, just out of the box, that's light-years ahead of whatever Windows PC you were going to buy ten years ago. [laughs] And so, that kind of gives you a much better starting place. But some interesting challenges that come with that, right? And that we do now, literally, every person on the planet is walking around with microphones and cameras and all kinds of sensors on them. It's an interesting balance, I think. Similarly, I'm curious how you all think about kind of talking with your clients and your customers about this because I'm sure you all have a non-trivial amount of education to do there. [laughs] VICTORIA: Yeah, definitely. And I think a lot of it comes in when we have clients who are very early founders, and they don't have a CTO or a technical side of their business, and advising them on exactly what you laid out. Like, here's the baseline. Like, here's where you want to start from. We generally use the CIS controls, this internet for internet security. It puts out a really great tool set, too, for some things you were mentioning earlier. Let's figure out how to report and how to identify all of the things that we're supposed to be doing. It could be overwhelming. It's a lot. Like, in my past role as VP of Operations at Pluribus Digital, I was responsible for helping our team continue to meet our...we had three different ISO long number certifications [laughs]. We did a CMMI as well, which has come up a few times in my career. And they give you about a couple of hundreds of controls that you're supposed to meet. It's in very kind of, like, legalese that you have to understand. And that's a pretty big gap to solve for someone who doesn't have the technical experience to start. Like, what you were saying, too, that it's more dangerous and more safer than it has been before. So, if we make choices for those types of clients in very safe, trusted platforms, then they're going to be set up for success and not have to worry about those details as much. And we kind of go forward with confidence that if they are going to have to come up against compliance requirements or local state regulations, which are also...there's more of those every day, and a lot of liability you can face as a founder, especially if you're dealing with, like, health or financial data, in the state of California, for example. [laughs] It puts you at a really big amount of liability that I don't think we've really seen the impact of how bad it can be and will be coming out in the next couple of years now that that law has passed. But that's kind of the approach that we like to think. It's like, you know, there's a minimum we can do that will mitigate a lot of this risk [laughs], so let's do that. Let's do the basics and start off on the right foot here. SEAN: Yeah, no, that makes sense. Yeah, it's definitely something I've come to appreciate, especially doing work in regulated spaces is, when you do reach the point where you do need to have some kind of subject matter expert involved, whether it's somebody in-house or a consultant or an advisor, I've definitely learned that usually, like, the better ones are going to talk to you in terms of, like, what are the risk trade-offs you're making here? And what are the principles that all these detailed controls or guidelines are looking to get at? As opposed to just, like, walking you through the box-checking exercise. In my experience, a really good lawyer or somebody who will talk to you about risk versus just saying whether or not you can do something. [laughs] It has a very similar feeling in my experience. VICTORIA: Yeah, it's a lot about risk. And someone's got to be able to make those trade-off decisions, and it can be really tough, but it's doable. And I think it shouldn't scare people away. And there's lots of people, lots of ways to do it also, which is exciting. So, I think it's a good space to be in and to see it growing and pay attention to. [laughs] It's fun for me to be in a different place where we're given the opportunity to kind of educate or bring people along in a security journey versus having it be a top-down executive-level decision that we need to meet this particular security standard, and that's the way it's going to be. [laughs] Yeah, so that I appreciate. Is there anything that really surprised you in your conversations with Datadog or with other companies around these types of services for, like, platform engineering and observability? Is there anything that surprised you in the discovery process with potential clients for your products? SEAN: I think one of the biggest surprises, or maybe not a surprise but an interesting thing is, to what extent, you know, for us, I don't know if this is still the case, but I think in many places, like, we're probably more often competing against nothing than a competing product. And by that, I mean, especially as you look at some of our more sophisticated products like APM, or profiling, it's not so much that somebody has an existing tool that we're looking to replace; it's much more than this is just not a thing they do today. [laughs] And so, that leads to a very interestingly different conversation that I think, you know, relates to some of what we were saying with security where, you know, I think a non-trivial part of what our sales and technical enablement folks do is effectively education for our customers and potential customers of why they might want to use tools like this, and what kind of value they could get from them. The other one that's been interesting is to see how different customers' attitudes around tools like this have evolved as they've gone through their own migration to the cloud journeys, right? We definitely have a lot of customers that, I think, you know, 5, 10 years ago, when they were running entirely on-prem, using a SaaS product would have been a complete non-starter. But as they move into the cloud, both as they kind of generally get more comfortable with the idea of delegating some of these responsibilities, as well as they start to understand kind of, like, the complexity of the tooling required as their environment gets more complex, the value of a dedicated product like something like Datadog as opposed to, you know, what you kind of get out of the box with the cloud providers or what you might kind of build on your own has definitely been interesting. [laughs] VICTORIA: Is there a common point that you find companies get to where they're like, all right, now, I really need something? Can you say a little bit more about, like, what might be going on in the organization at that time? SEAN: You know, I think there could be a few different paths that companies take to it. Some of it, I think, can come from a place of...I think, especially for kind of larger enterprise customers making a transition like that, they tend to be taking a more holistic look at kind of their distinct practices and seeing what they want to change as they move into the cloud. And often, kind of finding an observability vendor is just kind of, like, part of the checklist there. [laughs] Not to dismiss it, but just, like, that seems to be certainly one path into it. I think for smaller customers, or maybe customers that are more, say, cloud-native, I think it can generally be a mix of either hitting a point where they're kind of done with the overhead of trying to maintain their own infrastructure of, like, trying to run their own ELK stack and, like, build all the tooling on top of that, and keeping that up and running, and the costs associated with that. Or, it's potentially seeing the sophistication of tooling that, like, a dedicated provider can afford to invest that realistically, you're never going to invest in on your own, right? Like, stuff like live profiling is deeply non-trivial to implement. [laughs] I think especially once people get some experience with a product like Datadog, they start thinking about, like, okay, how much value are we actually getting out of doing this on our own versus using a more off-the-shelf product? I don't know if we've been doing it post-COVID. But I remember pre-COVID...so Datadog has a huge presence at re:Invent and the other similar major cloud provider things. And I remember for a few years at re:Invent, you know, we obviously had, like, the giant 60x60 booth in the main expo floor, where we were giving demos and whatnot. But they also would have...AWS would do this, like, I think they call it the interactive hall where companies could have, like, more hands-on booths, and you had, like, a whole spectrum of stuff. And there were, like, some companies just had, like, random, like, RC car setups or Lego tables, just stuff like that. But we actually did a setup where there was a booth of, I think, like, six stations. People would step up, and they would race each other to solve a kind of faux incident using Datadog. The person who would solve it first would win a switch. I think we gave away a huge number of switches as part of that, which at first I was like, wow, that seems expensive. [laughs] But then later, you know, I was mostly working the main booth at that re:Invent. So by the, like, Wednesday and Thursday of re:Invent, I'd have people walking up to the main booth being like, "Hey, so I did the thing over at the Aria. And now I installed Datadog in prod last night, and I have questions." I was like, oh, okay. [laughs] So, I think just, like, the power of, like, getting that hands-on time, and using some of the tools, and understanding the difference there is what kind of gets a lot of people to kind of change their mind there. [laughs] VICTORIA: You'd get me with a switch right now. I kind of want one, but I don't want to buy one. SEAN: [laughs] WILL: Same. [laughs] VICTORIA: Because I know it'll take up all my time. SEAN: Uh-huh. That's fair. [laughs] VICTORIA: But I will try to win one at a conference for sure. I think that's true. And it makes sense that because your product is often going with clients that don't have these practices yet, that as soon as you give them exposure to it, you see what you can do with it, that becomes a very powerful selling tool. Like, this is the value of the product, right? [laughs] SEAN: Yeah, there is also something we see, and I think most of our kind of peers in the industry see is, very often, people come in initially looking for and using a single product, like, you know, infrastructure, metrics, or logs. And then, as they see that and see where that touches other parts of the product, their usage kind of grows and expands over time. I would obviously defer to our earnings calls for exact numbers. But generally speaking, more or less kind of half of our new business is usually expanded usage from existing customers as opposed to new customers coming in. So, I think there's also a lot of just kind of organic discovery and building of trust over time that happens there, which is interesting. VICTORIA: One of my favorite points to make, which is that SRE sounds very technical and, like, this really extreme thing. But to make it sound a little more easier, is that it is how you validate that the user experience is what you expect it to be. [laughs] I wonder if you have any other thoughts you want to add to that, just about, like, SRE and user experience and how that all connects for real business value. SEAN: I think a lot of places where, you know, we've both seen internally ourselves and with customers is, you know; obviously, different companies operate in different models and whatnot. Where people have seen success is where, you know, people with formal SRE titles or team names can kind of be coming in as just kind of another perspective on the various kind of things that teams are trying to drive towards. The places reliability is successfully integrated is when they can kind of make that connection that you were talking about. It's, like, obviously, everybody should go take their vitamins, but, like, what actual value is coming from this, right? Nobody wants to have outages, but, like, to do the work to invest in reliability, often, like, it can be hard to say, like, okay, what's the actual difference between before and after? Having people who can help draw those connections and help weigh those trade-offs, I think, can definitely be super helpful. But it is generally much more effective, I think, in my experience, when it does come from that perspective of, like, what value are we providing? What are we trading off as part of this? As opposed to just, well, you should do this because it's the right thing to do, kind of a moralistic perspective. [laughs] But, I don't know, how do you all kind of end up having that conversation with your customers and clients? VICTORIA: That's exactly it. That's the same. It's starting that conversation about, like, well, what happens when this experience fails, which designers don't necessarily think about? What's, like, the most important paths that you want a user to take through your application that we want to make sure works? And when you tie it all back there, I think then when the developers are understanding how to create those metrics and how to understand user behavior, that's when it becomes really powerful so that they're getting the feedback they need to do the right code, and to make the right changes. Versus just going purely on interviews [laughs] and not necessarily, like, understanding behavior within the app. I think that starts to make it clear. SEAN: Part of that, I think that's been an interesting experience for us is also just some of the conversation there around, like, almost the flip side of, when are you investing potentially too much in that, right? Because, like, especially after a certain point, the cost of additional gains grows exponentially, right? Each one of those nines gets more and more expensive. [laughs] And so, having the conversation of, like, do you actually need that level of reliability, or, like, is that...just like what you're saying. Like, you know, kind of giving some of that context and that pressure of, like, yeah, we can do that, but, like, this is what it's going to cost. Is that what you want to be spending your money on? Kind of things can also be an interesting part of that conversation. VICTORIA: That's a really good point that, you know, you can set goals that are too high [laughs] and not necessary. So, it does take a lot of just understanding about your data and your users to know what are acceptable levels of error. I think the other thing that you can think about, too, like, what could happen, and we've seen it happen with some startups, is that, like, something within the app is deeply broken, but you don't know. And you just think that you're not having user engagement, or that users are signing off, or, like, you know, not opening the app after the first day. So, if you don't have any way to really actively monitor it and you're not spending money on an active development team, you can have some method to just be confident that the app is working and to make your life less miserable [laughs] when you have a smaller team supporting, especially if you're trying to really minimize your overhead for running an application. SEAN: Yep. It's surprisingly hard to know when things are broken sometimes. [laughs] VICTORIA: Yes, and then extremely painful when you find out later [laughs] because that's when it's become a real problem, yeah. I wonder, are there any other questions you have for me or for Will? SEAN: How big of an organization is thoughtbot at this time? VICTORIA: Close to 75 people? We're, yeah, between the Americas and the [inaudible 38:31] region. So, that's where we're at right now, yeah. SEAN: Nice. At that size, like, and I guess it sounds like you're pretty heavily distributed, so maybe some of this doesn't happen as much, but, like, one of the things I definitely remember...so, when I joined Datadog, it was probably about 500 people. And I think we're just under 5,000 now. There are definitely some points where there were surprisingly, like, physical aspects to where it became a problem of just, like, where certain teams didn't fit into a room anymore. [laughs] Like, I had surprise in the changes in that, like, dynamic. I'm curious if you've all kind of run into any kind of, I don't know, similar interesting thresholds or changes as you've kind of grown and evolved. WILL: I will say this, we're about 100, I think, Victoria. VICTORIA: Oh, okay, we're 100 people. I think, you know, I've only been at thoughtbot for just over a year now. And my understanding of the history is that when we were growing before COVID, there's always been a very intentionality about growth. And there was never a goal to get to a huge size or to really grow beyond just, like, a steady, profitable growth. [laughs] So, when we were growing in person, there were new offices being stood up. So, we, you know, maybe started out of New York and Boston and grew to London. And then, there was Texas, and I think a few other ones that started. Then with COVID, the decision was made to go fully remote, and I think that's opened up a lot of opportunities for us. And from my understanding in the previous and the past, is that there's a big shift to be fully remote. It's been challenging, where I think a lot of people miss some of the in-person days, and I'm sure it's definitely lonely working remote all day by yourself. So, you have to really proactively find opportunities to see other people and to engage remotely. But I think also, we hire people from so many different places and so much different talent, and then, also, you know, better informs our products and creates a different, you know, energy within the company that I think is really fun and really exciting for us now. WILL: Yeah, I would agree with that because I think the team that I'm on has about 26 people on the Lift Off team. And we're constantly thinking of new ways to get everyone involved. But as a developer, me myself being remote, I love talking to people. So, I try to be proactive and, like, connect with the people I'm working with and say, "Hey, how can I help you with this?" Let's jump in this room and just work together, chat together, and stuff like that, so... And it has opened the door because the current project that I'm on, I would never have had an opportunity to be on. I think it's based in Utah, and I'm in South Florida. So, there's just no way if we weren't remote that I'd been a part of it. So... SEAN: Nice. And I can definitely appreciate that. I remember when we first started COVID lockdown; I think, at that point, Datadog was probably about...Datadog engineering was probably about 30% remote, so certainly a significant remote contingent but mixed. But my teams were pretty remote-heavy. So, in some ways, not a lot changed, right? Like, I think more people on my team were, like, who are all these other people in my house now instead of [laughs], I mean, just transition from being in an office to working from home. But I do remember maybe, like, about six months in, starting to feel, yeah, some of the loneliness and the separation of just, like, not being able to do, like, quarterly team meetups or stuff like that. So, it's definitely been an interesting transition. For context, at this point, we kind of have a hybrid setup. So, we still have a significant kind of full-time remote contingent, and then four people who are in office locations, people joining for about three days a week in office. So, it's definitely an interesting transition and an interesting new world. [laughs] VICTORIA: Yeah. And I'm curious how you find the tech scene in Denver versus New York or if you're engaging in the community in the same way since you moved. SEAN: There definitely is some weirdness since COVID started [laughs] broadly [inaudible 42:21]. So, I moved here in 2020. But I'd been coming out here a lot before that. I helped to build an office here with Bitly. So, I was probably coming out once a quarter for a bunch of years. So, one parallel that is finally similar is, like, in both places, it is a small world. It doesn't take that long for you to be in that community, in either of those communities and start running into the same people in different places. So, that's always been [inaudible 42:42] and especially in New York. New York is a city of what? 8, 9 million people? But once you're working in New York tech for a few years and you go into some meetups, you start running into the same people, and you have one or two degrees [inaudible 42:52] to a lot of people, surprisingly quickly. [laughs] So, that's similar. But Denver probably is interesting in that it's definitely transplant-heavy. I think Denver tends to check the box for, like, it was part of why Bitly opened an office here and, to a degree, Datadog as well. I think of like, you know, if you're trying to recruit people and you previously were mostly recruiting in, like, New York or Silicon Valley; if you're based in New York, and you're trying to recruit somebody from Silicon Valley, and part of why they're looking for a new gig is they're burned out on Silicon Valley, asking them to move to New York probably isn't all that attractive. [laughs] But Denver is different enough in that in terms of kind of being a smaller city, easier access to nature, a bunch of that kind of stuff, that a lot of times we were able to attract talent that was a much more appealing prospect. [laughs] You'll see an interesting mix of industries here. One of the bigger things here is there's a very large government and DOD presence here. I remember I went to DevOps Days Rockies, I think, a few years ago. There was a Birds of a Feather session on trying to apply DevOps principles in air-gapped networks. That was a very interesting conversation. [laughs] VICTORIA: That's interesting. I would not have thought Colorado would be a big hub for federal technology. But there you go, it's everywhere. WILL: Yeah. SEAN: Denver metro, I think, is actually the largest presence of federal offices outside of the D.C. metro. VICTORIA: That's interesting. Yeah, I'm used to trying to recruit people into D.C., and so, it's definitely not the good weather, [laughs], not a good argument in my favor. So, I just wanted to give you a final chance. Anything else you'd like to promote, Sean? SEAN: Generally, not super active on social things these days, but you can find whatever I have done at seanoc.com, S-E–A-N-O-C.com for the spelling. And otherwise, if you're interested in some engineering content and hearing about some of those kind of bleeding edge challenges that I was mentioning before, I would definitely check out the Datadog engineering blog. There's lots of kind of really interesting content there on both, you know, things we've learned from incidents and interesting projects that we're working on. There's all kinds of fun stuff there. VICTORIA: That makes me think I should have asked you more questions, Sean. [laughs] No, I think it was great. Thank you so much for joining us today. I'll definitely check all that stuff out. You can subscribe to the show and find notes along with a complete transcript for this episode at giantrobots.fm. If you have questions or comments, email us at hosts@giantrobots.fm. You can find me on Twitter @victori_ousg. WILL: And you can find me on Twitter @will23larry. This podcast is brought to you by thoughtbot and produced and edited by Mandy Moore. Thanks for listening. See you next time. ANNOUNCER: This podcast is brought to you by thoughtbot, your expert strategy, design, development, and product management partner. We bring digital products from idea to success and teach you how because we care. Learn more at thoughtbot.com. Special Guest: Sean O'Connor.
In this episode of Kubernetes Bytes, Ryan and Bhavin go back to school after the summer break and talk about What is Kubernetes Observability? They talk about how Observability is different from Monitoring, what are the three pillars of Observability and the CNCF projects viewers can check out to get started with Kubernetes Observability! Join the Kubernetes Bytes slack using: https://bit.ly/k8sbytes Ready to shop better hydration, use my special link https://zen.ai/apaSnaIFOuee5jScqZ28a03tKKvQiqkyz8mtm9wipoE to save 20% off anything you order.Chapters: 00:30 Introduction 06:25 Cloud Native News 17:57 What is Kubernetes ObservabilityCloud Native News: https://kubernetes.io/blog/2023/08/15/kubernetes-v1-28-release/ - Planternetes https://techcrunch.com/2023/08/09/sweet-security-raises-12m-seed-round-for-its-cloud-security-suite/ https://www.dynatrace.com/news/press-release/dynatrace-to-acquire-rookout/ https://www.businesswire.com/news/home/20230725088248/en/ https://www.forbes.com/sites/janakirammsv/2023/07/31/kubeflow-joins-cncf-to-accelerate-the-adoption-of-mlops/?sh=6495358e6e75 https://finance.yahoo.com/news/edb-announces-three-ways-run-130000473.html https://www.prnewswire.com/news-releases/portworx-by-pure-storage-recognized-as-a-leader-in-kubernetes-storage-by-gigaom-for-fourth-consecutive-year-301889796.html https://blocksandfiles.com/2023/08/15/nutanix-puts-chatgpt-in-a-box/ https://venturebeat.com/ai/middleware-raises-6-5m-to-simplify-cloud-monitoring-with-ai/ https://thenewstack.io/aqua-security-uncovers-major-kubernetes-attacks/ Show Links: https://signoz.io/blog/kubernetes-observability https://landscape.cncf.io/card-mode?category=monitoring&grouping=category https://www.linuxfoundation.org/webinars/kubernetes-observability-with-opentelemetry-and-beyond
A daily update on what's happening in the Rocket Pool community on Discord, Twitter, Reddit, and the DAO forum. Today's episode covers: Aave has more RP integrations, More tokenomics discussion, and Prisma Risk release a report on rETH. 0:00 - Welcome 0:50 - Aave doing amazing RP stuff https://discord.com/channels/405159462932971535/405163713063288832/1133979414577823765 https://app.aave.com/reserve-overview/?underlyingAsset=0x9bcef72be871e61ed4fbbc7630889bee758eb81d&marketName=proto_optimism_v3 https://twitter.com/mean_fi/status/1684292524964478976 https://discord.com/channels/405159462932971535/405503016234385409/1134507804833611897 https://app.aave.com/reserve-overview/?underlyingAsset=0xd33526068d116ce69f19a9ee46f0bd304f21a51f&marketName=proto_mainnet_v3 6:40 - Val responds to Pieter's tokenomics post https://discord.com/channels/405159462932971535/1129516706323234916/1134193411356897350 https://discord.com/channels/405159462932971535/1129516706323234916/1134387901245960202 11:04 - Prisma Risk analyse rETH https://hackmd.io/@PrismaRisk/rETH 17:47 - Grafana shows 1m eth locked in RP https://discord.com/channels/405159462932971535/1070004025610739883/1134158406773657721 https://discord.com/channels/405159462932971535/405503016234385409/1134174332038430740 19:46 - Gravita is now on Arbitrum https://twitter.com/gravitaprotocol/status/1684671707532177417?
Welcome to the newest episode of The Cloud Pod podcast - where the forecast is always cloudy! Today your hosts Justin, Jonathan, and Matt discuss all things cloud and AI, as well as some really interesting forays into quantum computing, changes to Google domains, Google accusing Microsoft of cloud monopoly shenanigans, and the fact that Azure wants all your industry secrets. Also, Finops and all the logs you could hope for. Are your secrets safe? Better tune in and find out! Titles we almost went with this week: The Cloud Pod Adds Domains to the Killed by Google list The Cloud Pod Whispers it's Secrets to Azure OpenAI The Cloud Pod Accuses the Cloud of Being a Monopoly The Cloud Pod Does Not Pass Go and Does Not collect $200 A big thanks to this week's sponsor: Foghorn Consulting, provides top-notch cloud and DevOps engineers to the world's most innovative companies. Initiatives stalled because you have trouble hiring? Foghorn can be burning down your DevOps and Cloud backlogs as soon as next week.
Software Engineering Radio - The Podcast for Professional Software Developers
Stanisław Barzowski of XTX Markets and a committer on the jsonnet project joins SE Radio's Robert Blumen for a conversation about the jsonnet programming language. A superset of JSON, jsonnet adds programming language capabilities, particularly to address the need to handle large but mostly repetitive JSON configurations. They discuss the project's history, use cases for Grafana and Kubernetes config, interoperability with YAML, and consider details including the command line, constrained capabilities of the language, and objects and inheritance. They examine the toolchain: compiler, formatter, and linter, as well as test frameworks and testing, package management, and the language's performance. Barzowski describes four implementations -- go, C++, Rust, and Scala -- as well as popular libraries and the standard library.
The NoDegree Podcast – No Degree Success Stories for Job Searching, Careers, and Entrepreneurship
In high school he wanted to be a pilot and had a love for all things Math and Physics. When Rishab Kumar immigrated to Canada, he made $10/hr as a gas station cashier. He wanted a career in tech but the cost of going to college prevented him from going.Get insight into the opportunities that come with transitioning into tech, the challenges that come with transitioning between different tech roles, and learn about the resources available to help you hone your skills in the tech field.In high school he wanted to be a pilot and had a love for all things Math and Physics. When Rishab Kumar immigrated to Canada, he made $10/hr as a gas station cashier. He wanted a career in tech but the cost of going to college prevented him from going.Get insight into the opportunities that come with transitioning into tech, the challenges that come with transitioning between different tech roles, and learn about the resources available to help you hone your skills in the tech field. Timestamps:(0:45) What does a Developer Evangelist do? And the salary(1:37) You need these skills to succeed as a Developer Evangelist(1:21) He wanted to be a pilot(4:16) How he got into tech from working as a gas station cashier(7:12) Working as tech support and then getting into AWS cloud(9:58) Get certifications but don't be a junkie(11:00) Students: Here's a more cost-effective way to get certifications(13:26) Here's why he couldn't go to college(15:17) Job titles don't matter, here's why(17:28) What is DevOps(19:18) How his previous experience helped him on the DevOps team(21:41) Working at Google and why he quit(27:33) The problem with romanticizing Big Tech(30:15) What helped him to become a developer evangelist(34:17) Hardest time of his life(36:17) How not having a degree held him backSupport/Contact Rishab:Twitter: https://twitter.com/rishabk7?t=YI8LOLYTH8CGbl4RLdSROw&s=09LinkedIn: https://www.linkedin.com/in/rishabkumar7/Books and resources mentioned in this podcast:Resume course: https://bit.ly/podcastpcaNeed career or resume advice? Follow and/or connect with Jonaed Iqbal on LinkedIn.LinkedIn: https://bit.ly/JonaedIqbalNDConnect with us on social media!LinkedIn: https://bit.ly/NoDegreeLinkedInFacebook: https://bit.ly/NoDegreeFBInstagram: https://bit.ly/NoDegreeIGTwitter: https://bit.ly/NoDegreeTWTikTok: https://bit.ly/3qfUD2VJoin our discord server: https://bit.ly/NoDegreeDiscordThank you for sponsoring our show. If you'd like to support our mission to end the stigma and economic disparity that comes along with not having a college degree, please share with a friend, drop us a review on Apple Podcast and/or subscribe to our Patreon: https://www.patreon.com/nodegree.Remember, no degree? No problem! Whether you're contemplating college or you're a college dropout, get started with your no-degree job search at nodegree.com.
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.
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