Robusta Dev

This week on Learn Kubernetes Weekly 107: 💰 How I came to build a cheap server cluster for VDI Michael Lipp 🐝 eBPF maps state synchronization across multi-node Kubernetes cluster Teodor Podobnik 🕸️ Service Meshes decoded: is Istio Ambient worth it? Oleksandr Polishchuk 🗑️ How to uninstall Multus CNI without borking your Kubernetes cluster Ahmed Ibrahim 📝 Kubernetes configuration in 2024 Brian Grant And more! If you prefer to receive the newsletter every week in your inbox, you can subscribe here: https://lnkd.in/gAsGumWd ⭐️ This newsletter is brought to you by Robusta Dev — reduce Prometheus and Kubernetes troubleshooting time by 80% with an AI Assistant. Fewer alerts and better developer experience https://ku.bz/NdP67ry-g #kubernetes #newsletter #learnk8s

In case you missed it: last night's discussuon on the official GitHub podcast with Andrea Griffiths PMP CCSK https://lnkd.in/dDaF9aj2

"AI for Observability" is now available on the free tier of Robusta Dev. Very proud of what the team has built.

3 Key Takeaways from KubeCon Here are the trends to know about if you missed KubeCon, based on our discussions with hundreds of attendees. 1. Platform Engineering Is (Finally) Here in North America: We met so many people whose job title just switched to "Platform Engineer." It felt like KubeCon Europe all over again. But is this just a naming change? We don't think so! Team roadmaps are changing along with the title. 2. Developer Experience is No Longer Optional: It’s clearer than ever: tossing developers into Kubernetes or OpenShift and hoping they swim isn’t working. Now, the focus is on making life easier for developers, from the moment they deploy to the moment they get pinged a 3AM to solve a production issue. 3. Goodbye Backstage, Hello AI Assistants: A year ago, everyone seemed to be betting on Backstage-based internal dev platforms (IDPs). This year? Not so much. A lot of teams struggled with adoption, and the hype didn’t always match value. Now, the excitement has moved toward AI assistants, but this time it's different. These assistants, agents, and copilots are already rolled out and seeing successful adoption by devs. Have we missed an important trend? Leave a comment. Thank you to everyone who visited the Robusta Dev booth! We loved meeting you in person!

Robusta Dev team is really busy with some booth duty! Come find us at T45 Speak with Natan Yellin Arik Alon Avraham Kotlicky about Prometheus and AI

Feedback wanted: which AI investigation of a Prometheus alert 👇 do you find most useful? We're playing with different output formats for HolmesGPT.

What's the most annoying Prometheus alert that is always a false-positive in your experience? (Especially from defaults in kube-prometheus-stack.) I'll go first - TargetDown is almost always PrometheusTargetMisconfigured.

🚀 Heading to KubeCon NA in November? So are we! The Robusta team is excited to be part of the #Kubernetes community in Salt Lake City, and we’d love to meet with you. From optimizing #Prometheus alerts to streamlining MTTR and empowering dev teams with smart alerting, we’re here to share how Robusta’s AI-driven platform is helping organizations tackle their challenges. Stop by our booth to see how you can:  ✅ Cut through alert noise and zero in on what really matters  ✅ Enhance visibility and improve incident resolution with ease  ✅ Equip your teams with tools for seamless troubleshooting Want to get ahead of the crowd? Schedule a time with us in advance!  Drop us a message here or reach out directly, and let’s make your #KubeCon experience more impactful. Looking forward to connecting with you! 🌴✨  #CloudNative #CNCF #DevOps #Observability #MTTR #Prometheus

🚀 Streamlining Workload Optimization with KRR, Prometheus, and Grafana 🚀 I'm excited to share my first Medium article where I dive into how you can leverage Robusta Dev's KRR tool to optimize workloads effectively. In this tutorial, I guide you through integrating KRR’s recommendations with Prometheus metrics and visualizing them using Grafana. This setup not only enhances visibility but also empowers teams to make data-driven decisions, balancing performance and cost-efficiency. Check out the full article to learn more about transforming insights into actionable data and improving resource management in your cluster. 🔗 https://lnkd.in/dB-VjpXN GitHub: https://lnkd.in/dY_DcJpU

💡 Vous cherchez à optimiser les coûts de vos infrastructures Kubernetes, mais ne savez pas par où commencer ? 👉 J'ai une solution simple pour vous : 𝗞𝗥𝗥 𝗱𝗲 𝗥𝗼𝗯𝘂𝘀𝘁𝗮. Cet outil open-source se connecte directement à 𝗣𝗿𝗼𝗺𝗲𝘁𝗵𝗲𝘂𝘀 pour analyser en temps réel l’utilisation des ressources dans vos clusters Kubernetes. Grâce à une analyse fine de la consommation, il ajuste précisément les allocations de CPU et de RAM là où c’est nécessaire, sans gaspiller de ressources. Découvrez-le ici : https://lnkd.in/eP5GteDS Vous réduisez ainsi les coûts tout en assurant une performance optimale de vos applications. Fini les surallocations et les dépenses superflues ! 🎯 En tant qu'Architecte Cloud AWS, je travaille au quotidien sur ces problématiques d'optimisation. Mon but ? Vous aider à mettre en place des infrastructures 𝗲́𝘃𝗼𝗹𝘂𝘁𝗶𝘃𝗲𝘀, 𝘀𝗲́𝗰𝘂𝗿𝗶𝘀𝗲́𝗲𝘀, 𝗲𝘁 𝘀𝘂𝗿𝘁𝗼𝘂𝘁 𝗿𝗲𝗻𝘁𝗮𝗯𝗹𝗲𝘀 ! Ces sujets vous intéressent autant que moi ? 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗼𝗻𝘀-𝗻𝗼𝘂𝘀 et partageons nos expériences !