Latest posts
DevOps&SRE Library
23 Sept, 07:01
Building a Real k6 Test Suite Against a Live Kubernetes AppIn part 1 I covered k6's philosophy and the anatomy of a first test. This post is where things get real — a production-grade test suite running against a live microservices app on a homelab Kubernetes cluster, including what went wrong on the first run and how I debugged it.https://dev.to/matthew_wimpelberg_79193b/part-2-of-4-building-a-real-k6-test-suite-against-a-live-kubernetes-app-1f81DevOps&SRE Library
22 Sept, 15:00
My Experiments with MCP: Moving Beyond the "Agent Wrapper"I'm currently working with a client to build out an agent-based automation system designed to reduce the manual labor associated with weekly, monthly, and ad-hoc operational activities.https://godfreym.medium.com/my-experiments-with-mcp-moving-beyond-the-agent-wrapper-4142bb920f4a1,280Open in TelegramDevOps&SRE Library
22 Sept, 07:02
Your AI just deleted the wrong deployment. Now what?Picture this. A developer asks an AI assistant to "scale down staging to save costs." The AI, helpful as always, executes: kubectl scale deployment critical-api --replicas=0 -n production. Wrong namespace. Right outcome, wrong cluster. The API is down.https://medium.com/@mirusser/your-ai-just-deleted-the-wrong-deployment-now-what-d9e3a03bf46c1,520Open in TelegramDevOps&SRE Library
21 Sept, 15:03
Kafka on Kubernetes: Performance Lessons for Any Disk-Heavy Data ServiceWe recently started migrating Kafka clusters from EC2 to EKS using Strimzi. As soon as we moved the first cluster, we saw persistent disk reads across the brokers and higher latency than we expected on comparable hardware.https://dev.to/yaakovamar/kafka-on-kubernetes-performance-lessons-for-any-disk-heavy-data-service-3bl51,710Open in TelegramDevOps&SRE Library
21 Sept, 07:00
What the Popularity of Emerging Tools Tells Us About Kubernetes' FutureKubernetes has matured into a stable platform, while innovation is increasingly happening in the tools around it.https://kube.today/emerging-tools-shaping-kubernetes-future1,770Open in TelegramDevOps&SRE Library
20 Sept, 15:04
How Uber Conquered Database Overload: The Journey from Static Rate-Limiting to Intelligent Load ManagementAt this scale, even minor overloads aren't isolated events, they cascade. A brief spike in one part of the system can ripple outward: downstream services time out, retries pile up, and degradation amplifies into broader failure. This blog shares how we built an intelligent load manager that detects overload from multiple signals to keep our databases stable and fair under pressure.https://www.uber.com/us/en/blog/from-static-rate-limiting-to-intelligent-load-management1,930Open in TelegramDevOps&SRE Library
20 Sept, 07:00
Storage at scale: what I actually watchedFor eight years I ran the SRE team behind a storage system measured in exabytes. Over time, the dashboard I checked every morning shrank to a handful of numbers. These are the seven that told me whether the service was healthy.https://sridharrajarao.com/blog/storage-at-scale1,860Open in TelegramDevOps&SRE Library
19 Sept, 15:00
archifyAgent skill for beautiful, verifiable architecture, workflow, sequence, data-flow, and lifecycle diagrams—self-contained HTML with motion and crisp export.https://github.com/tt-a1i/archify2,600Open in TelegramDevOps&SRE Library
19 Sept, 07:00
Personal-AI-RouterNVIDIA Personal AI Router (PAIR) is a local inference router for a group of compatible computers on the same network. It discovers participating nodes, manages supported inference engines, and presents Ollama-compatible and OpenAI-compatible proxy endpoints to applications and agents. Independent requests can be routed to eligible nodes according to engine availability, model availability, and current workload.https://github.com/NVIDIA/Personal-AI-Router2,060Open in TelegramDevOps&SRE Library
18 Sept, 15:00
web-llmWebLLM is a high-performance in-browser LLM inference engine that brings language model inference directly onto web browsers with hardware acceleration. Everything runs inside the browser with no server support and is accelerated with WebGPU.https://github.com/mlc-ai/web-llm2,150Open in TelegramDevOps&SRE Library
18 Sept, 09:02
Автоматизация платформы не отбирает у вас интересные задачи. Она забирает рутину.Deckhouse Platform берёт на себя обновление, масштабирование и поддержку инфраструктуры «из коробки». Освободившееся время остаётся вам — на то, что вам действительно нравится.Обсудите с инженерами Deckhouse, что можно автоматизировать в вашем стеке 👈
2,190Open in TelegramDevOps&SRE Library
18 Sept, 07:00
soloShip one musl-linked executable. At runtime, load the user's existing glibc-linked GPU driver. No container, no AppImage, and no second libc in the process.https://github.com/pg83/solo2,050Open in TelegramDevOps&SRE Library
17 Sept, 15:05
Inside Cilium CNI: solving mysterious Kubernetes pod setup timeoutsIn high-performance networking, 35 seconds is a lifetime. This was the latency required to iterate through our connection tracking table of 7 million entries at a maximum speed of 200,000 entries per second. At our 16-million-entry peak, this sequential lookup could take up to 80 seconds, leading to Cilium CNI timeouts preventing new pods from starting on affected nodes.https://www.adyen.com/knowledge-hub/inside-cilium-cni-solving-kubernetes-pod-setup-timeouts2,180Open in TelegramDevOps&SRE Library
17 Sept, 07:04
tailcatTailcat is a remix of Tailscale open source pieces to act like netcat, but over Tailscale's data plane, without Tailscale's control plane. Tailscale's data plane (magicsock, internally) gives you point-to-point WireGuard®-encrypted tunnels between two machines with DERP as the NAT-hole-punching communication side channel and the ultimate relay-of-last-resort if NAT traversal fails. Instead of using the Tailscale control plane, all tailcat connection metadata is exchanged out of band, however you want.https://github.com/tailscale/tailcat2,310Open in TelegramDevOps&SRE Library
16 Sept, 15:03
When declaring an incident becomes everyone's favorite workaroundYou see someone declare a Sev-2 and you wonder: wait, why is that even an incident? Nothing is down. Customers aren't affected. But a manager needed to get their team's problem to the top of another team's priority queue, and the incident process was a reliable way to make it happen.https://greatcircle.com/blog/2026/08/11/declaring-incidents-for-side-effects2,330Open in TelegramDevOps&SRE Library
16 Sept, 09:03
eBPF: рентгеновское зрение для productionСервис замедлился, соединения обрываются, а привычные показатели указывают только на симптом. Чтобы найти настоящую причину, иногда нужно увидеть, что происходит глубже — на уровне ядра Linux.23 сентября в 20:00 на открытом уроке курса «DevOps практики и инструменты» познакомитесь с eBPF — технологией, которая помогает исследовать сетевые события, производительность и безопасность работающей системы.На демонстрации вы увидите, как Cilium Hubble показывает сетевые взаимодействия и помогает находить проблемы с трафиком. С помощью Tetragon разберёте обнаружение подозрительной активности на уровне ядра. Также рассмотрите диагностику узких мест без остановки сервисов.Преподаватель объяснит архитектуру eBPF простыми словами — как программы безопасно запускаются в ядре, какие данные можно получать и почему этот подход расширяет возможности
2,460Open in TelegramDevOps&SRE Library
16 Sept, 07:02
HAProxy Data Plane APIData Plane API is a sidecar process that runs next to HAProxy and provides API endpoints for managing HAProxy. It requires HAProxy version 1.9.0 or higher.https://github.com/haproxytech/dataplaneapi2,160Open in TelegramDevOps&SRE Library
15 Sept, 15:02
substrateAgent Substrate delivers a performant, high density runtime environment for large scale agent deployments. At its core, Agent Substrate maps a larger set of "actors" (applications such as agents) onto a smaller set of ready "workers", relying on the fact that agent-like applications tend to be idle most of the time to achieve heavy multiplexing.https://github.com/agent-substrate/substrate2,420Open in TelegramDevOps&SRE Library
15 Sept, 07:01
ksolverKubernetes cluster cost optimizer. Connects to a live cluster (or a saved snapshot), collects every scheduling constraint, and uses CP-SAT constraint programming to find the cheapest node fleet that still satisfies all placement rules.https://github.com/syslenslabs/ksolver2,580Open in TelegramDevOps&SRE Library
14 Sept, 16:04
grpc-streams-checkerSynthetic monitoring for gRPC server-side streams — open each stream, verify frames actually arrive, and export Prometheus metrics.https://github.com/youngpabl0/grpc-streams-checker2,690Open in Telegram
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