DevOps&SRE Library
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
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Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 28 Avgust, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
If you've ever wanted to develop a command line client for a Kubernetes API, especially if you've considered making your client usable as a kubectl plugin, you might have wondered how to make your client feel familiar to users of kubectl. In fact, the Kubernetes project provides two libraries to help you handle kubectl-style command line arguments in Go programs: clientcmd and cli-runtime (which uses clientcmd). This article will show how to use the former.https://kubernetes.io/blog/2026/01/19/clientcmd-apiserver-access
Recently, in our daily operations, we took a deep dive into the inner workings of linkerd-destination, one of the most critical components of the Linkerd control plane.https://medium.com/@bezarsnba/deep-dive-the-linkerd-destination-service-en-19f6efd1b308
If Red Hat trusts OpenShift to run the control plane for their largest infrastructure orchestrator, the same pattern should apply to your smallest.https://hashicorpengineering.substack.com/p/nomad-on-openshift-the-control-plane
How I reduced pod startup times from minutes to seconds with intelligent image preloadinghttps://medium.com/@yyadid7/from-minutes-to-seconds-how-i-eliminated-kubernetes-image-pull-delays-16f166327576
So we built a pipeline that’s intentionally “boring”: GitHub pull requests, GitHub Actions, Kubernetes, and Argo CD — split across staging and production. This post is a walkthrough of how a feature goes from a developer’s machine to real users, and why we made the choices we did.https://medium.com/openmirai/from-push-to-production-our-deployment-pipeline-with-argo-cd-00e55b3feee9
Argo CD Diff Preview is a tool that renders the diff between two branches in a Git repository. It is designed to render manifests generated by Argo CD, providing a clear and concise view of the changes between two branches. It operates similarly to Atlantis for Terraform, creating a plan that outlines the proposed changes.https://github.com/dag-andersen/argocd-diff-preview
A lightweight, extensible Kubernetes Operator that probes any endpoint—HTTP/JSON, TCP, DNS, ICMP, Trino, OpenSearch, and more—and routes alerts to Slack or e-mail with a simple Custom Resource.https://github.com/iam404/endpoint-monitoring-operator
Netfence runs as a daemon on your VM/container hosts and automatically injects eBPF filter programs into cgroups and network interfaces, with a built-in DNS server that resolves allowed domains and populates the IP allowlist.https://github.com/danthegoodman1/netfence
This blog aims to provide a practical example of how core tools like Kubernetes, Terraform, and DevContainers can be combined to build a local data platform in a structured and maintainable way.https://blog.dataengineerthings.org/building-a-local-data-platform-with-kubernetes-and-terraform-9547a4256a7f
Jenkins might feel like legacy tech, but it's still powering CI/CD at thousands of companies. Instead of ripping it out, here's how to modernize it with Kubernetes — solving cost tracking, resource isolation, and scalability problems along the way.https://blog.stackademic.com/modernizing-jenkins-from-static-agents-to-kubernetes-dynamic-pods-fbda3f897018
This article explains how Cosign, Kyverno, and Harbor can work together to enforce image signature verification in Kubernetes. The approach is well-suited for enterprise environments with private registries, custom TLS certificates, and restricted access to public transparency logs.https://medium.com/@hansakabiyon99/enforcing-signed-container-images-in-kubernetes-using-cosign-kyverno-helm-based-setup-646209ecb8ce
Operators make life easier, but they are not always an option. In this post, I'll walk through a practical way to deploy large language models on OpenShift without relying on the OpenShift AI or NVIDIA operators. The approach uses llama.cpp as a lightweight runtime engine and runs a quantized GGUF model to enable efficient inference with minimal dependencies.https://medium.com/@ahmeddraz/deploy-llm-models-on-openshift-84ecb014f09a
This article is about the patterns that actually work when you're managing real databases in Kubernetes, not hello-world demos: when your boss says "everything should be containerized" but your databases laugh in the face of ephemeral pods, and when GitOps meets a 200GB production database that absolutely cannot lose a single transaction.https://medium.com/@firaassboui/database-state-management-in-kubernetes-running-sql-server-on-aks-with-gitops-69286a87f8de
The Kubernetes story is one I hear often. Teams adopt K8s expecting operational simplicity, only to discover they've traded application complexity for infrastructure complexity. For a solo founder focused on content creation, maintaining a Kubernetes cluster was simply the wrong trade-off.https://dev.to/aws-builders/case-study-reducing-complexity-by-migrating-from-k8s-to-ecs-fargate-for-networklessons-3271
If you're running PostgreSQL on Kubernetes, chances are you've used Bitnami's popular Helm charts. They've been a go-to for many, but a significant change is on the horizon. As outlined in this GitHub issue, Bitnami is moving its production-ready charts and images to a commercial offering. For those of us who rely on and advocate for open-source solutions, this means it's time to find a robust alternative.https://k8scockpit.tech/posts/cloudnative-pg
In Kubernetes v1.35, we're introducing Extended Toleration Operators as an alpha feature. This enhancement adds Gt (Greater Than) and Lt (Less Than) operators to spec.tolerations, enabling threshold-based scheduling decisions that unlock new possibilities for SLA-based placement, cost optimization, and performance-aware workload distribution.https://kubernetes.io/blog/2026/01/05/kubernetes-v1-35-numeric-toleration-operators
