DevOps & SRE notes
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- Последний пост
- 14 авг.
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- 10:01
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- 2
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- 22
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- Язык
- английский
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- Технологии (по похожим)
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- 13 авг.
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Посты
https://www.cncf.io/blog/2026/06/25/building-a-cluster-aware-ai-agent-with-kubernetes-argo-cd-and-gitops/ Practical walkthrough for a self-hosted, read-only cluster AI agent with GitHub Actions, Argo CD Image Updater, and no cluster data leaving the network. Good pattern material for safe “AI assistant inside the cluster” experiments.
Morgan Stanley presented their journey scaling Flux to manage over 500 clusters and tens of thousands of resources. They detailed their transition from push-based CI/CD pipelines to a pull-based, continuous reconciliation model using Flux to eliminate configuration drift. The article outlines their strategy for handling enterprise-grade security, performance tuning for scale, and adapting architecture (like moving from Git to S3) to meet high availability and compliance needs. https://fluxcd.io/blog/2026/03/stairway-to-gitops-morgan-stanley/
Trusted builds made easy! A cloud-native software factory for building, testing, and releasing trusted software artifacts Konflux is an open-source, Kubernetes-native CI/CD platform that manages the full software delivery lifecycle for software artifacts — with supply chain trust built in from the start. Built on Tekton and the Conforma policy framework, it brings together best-in-class open source projects into a single, integrated software factory. Managed by a Kubernetes operator, Konflux runs on Kind, OpenShift, and any conformant Kubernetes cluster. https://github.com/konflux-ci/konflux-ci
A lightweight tool for deploying and managing containerised applications across a network of Docker hosts. Bridging the gap between Docker and Kubernetes ✨ https://github.com/psviderski/uncloud
Deep dive into Prometheus’s use-uncached-io work and why page cache behavior can make Kubernetes container memory metrics misleading. Useful for anyone running Prometheus at scale: covers memory predictability, compaction writes, OOM risk, and tradeoffs around direct I/O. https://prometheus.io/blog/2026/03/05/uncached-io/
Ministack: Free, open-source local AWS emulator - 55+ services, Terraform compatible, real databases. Free forever. MIT licensed. https://github.com/ministackorg/ministack
Kubernetes configuration tracking controller. Wave watches Deployments, StatefulSets and DaemonSets within a Kubernetes cluster and ensures that their Pods always have up to date configuration. By monitoring mounted ConfigMaps and Secrets, Wave can trigger a Rolling Update of the Deployment when the mounted configuration is changed. https://github.com/wave-k8s/wave
видео или голосовое, без подписи
Hands-on vendor-neutral instrumentation for GenAI spans, tool calls, token metrics, and trace exploration. Worth reading if you want AI-agent debugging to fit existing OTel/Grafana/Loki-style observability rather than a separate black box. https://opentelemetry.io/blog/2026/genai-observability/
видео или голосовое, без подписи
Lessons from Moving a Live Production Database describes the complex process of migrating a massive dataset while keeping the service available to users. The case study covers specific strategies for achieving zero downtime during a high-risk infrastructure change. But is zero downtime always worth the engineering effort? Imagine that you have two options: 1. Spend several weeks preparing and testing a zero-downtime migration. 2. Schedule 20 minutes of downtime during a low-traffic period. Considering that 99.9% availability allows approximately 43 minutes of downtime per month, which option would you choose? What factors would change your decision: revenue loss, SLA penalties, customer expectations, rollback complexity, or the size of the engineering team? https://www.tines.com/blog/zero-downtime-database-migrations-lessons-from-moving-a-live-production/
Containerlab focuses on the containerized Network Operating Systems which are typically used to test network features and designs https://github.com/srl-labs/containerlab
DevOps & SRE notes pinned «»
видео или голосовое, без подписи
The article explores how integrating these two prominent tools can accelerate and enhance platform engineering initiatives. https://platformengineering.org/blog/platform-engineering-with-crossplane-and-argocd
Open, Multi-Cloud, Multi-Cluster Kubernetes Orchestration https://github.com/karmada-io/karmada
A userspace out-of-memory killer https://github.com/facebookincubator/oomd
Hands-on comparison against a deliberately broken cluster, with real outputs and failure-mode differences. Practical for deciding where AI Kubernetes tools fit: scanner, agent framework, or natural-language kubectl layer. https://decodeops.substack.com/p/k8sgpt-vs-kagent-vs-kubectl-ai-what
The 10-step playbook to reduce K8s bills by 40-60%, focusing heavily on bridging the gap between requested and actually used resources. https://leanopstech.com/blog/kubernetes-cost-optimization-guide-2026/
Deep-dive technical guide into the exact mechanics of pod restarts and configuration updates in Kubernetes https://www.cncf.io/blog/2026/03/17/when-kubernetes-restarts-your-pod-and-when-it-doesnt/