DevOps&SRE Library
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Библиотека статей по теме DevOps и SRE.

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Kubernetes observability from day one - Mixins on Grafana, Mimir and Alloy

One of the things we quickly find out when using Kubernetes is that it’s hard to know what is going on in our cluster. In most cases, we implement monitoring and alerting after we’ve dealt with problems, but there is a better way.

We don’t need to wait for the explosions, we can re-use the community’s knowledge and implement observability from the beginning.


https://www.amazinglyabstract.it/kubernetes/observability/2025/06/26/kubernetes-mixins.html
Gateway API v1.3.0: Advancements in Request Mirroring, CORS, Gateway Merging, and Retry Budgets

https://kubernetes.io/blog/2025/06/02/gateway-api-v1-3
Kubernetes Node Stability and Performance: Tuning Kubelet for Better Resource Management

https://medium.com/@jfpucheu/kubernetes-node-stability-and-performance-tuning-kubelet-for-better-resource-management-e0f95ccfefe9
A Crash Course in Running Kubernetes Locally

Kubernetes clusters on your very own machine


https://jc1175.medium.com/a-crash-course-in-running-kubernetes-locally-7c573dd64933
kubectl-ai

kubectl-ai acts as an intelligent interface, translating user intent into precise Kubernetes operations, making Kubernetes management more accessible and efficient.


https://github.com/GoogleCloudPlatform/kubectl-ai
ut

A fast, lightweight CLI utility toolkit for developers and IT professionals. ut provides a comprehensive set of commonly-used tools in a single binary, eliminating the need to install and remember multiple utilities or search for random websites to perform simple tasks.


https://github.com/ksdme/ut
shiori

Shiori is a simple bookmarks manager written in the Go language. Intended as a simple clone of Pocket. You can use it as a command line application or as a web application. This application is distributed as a single binary, which means it can be installed and used easily.


https://github.com/go-shiori/shiori
Terraforming With AI

This article will go over using a team of AI agents in conjunction with the Terraform MCP server and Docker's cagent tool to clean up some rather gnarly autogenerated terraform without needing to write any code.


https://dev.to/zloeber/terraforming-with-ai-g0o
cagent

A powerful, easy to use, customizable multi-agent runtime that orchestrates AI agents with specialized capabilities and tools, and the interactions between agents.


https://github.com/docker/cagent
Postgres Migrations Using Logical Replication

Moving a Postgres database isn’t a small task. Typically for Postgres users this is one of the biggest projects you’ll undertake.


https://www.crunchydata.com/blog/postgres-migrations-using-logical-replication
mathesar

Intuitive spreadsheet-like interface that lets users of all technical skill levels view, edit, query, and collaborate on Postgres data directly—self hosted, with native Postgres access control.


https://github.com/mathesar-foundation/mathesar
Non-HA Kubernetes Gotchas: Downtime and Autoscaling Pitfalls with Single Replica Workloads

https://eng.zemosolabs.com/non-ha-kubernetes-gotchas-downtime-and-autoscaling-pitfalls-with-single-replica-workloads-812ac4150d70
kor

Kor is a tool to discover unused Kubernetes resources.


https://github.com/yonahd/kor
homelab

After rebuilding my homelab one too many times, I committed to managing it entirely with GitOps. This repository is the result: a blueprint for a resilient, production-inspired Kubernetes cluster.


https://github.com/theepicsaxguy/homelab
mcp-server-kubernetes

MCP Server that can connect to a Kubernetes cluster and manage it. Supports loading kubeconfig from multiple sources in priority order.


https://github.com/Flux159/mcp-server-kubernetes
mysql-operator

The MySQL Operator for Kubernetes is an operator for managing MySQL InnoDB Cluster setups inside a Kubernetes Cluster. It manages the full lifecycle with set up and maintenance that includes automating upgrades and backup.


https://github.com/mysql/mysql-operator
Как работают инженеры по надёжности в 2025 году?

SRE-инженеры — те, кто держат продакшен в живых, настраивают мониторинг, ловят инциденты и отвечают за аптайм.

Ребята из DevCrowd, которые специализируются на ёмких и открытых отчетах о разных профессиях в IT, запускают свое первое исследование про SRE и DevOps-практики — чтобы понять, как всё устроено изнутри: кто за что отвечает, какие инструменты реально работают и где проходит граница между SRE и DevOps.

💡 Зачем участвовать

– посмотрите, как ваш опыт соотносится с другими инженерами: процессы, зрелость команд, инструменты;

– узнайте, какие reliability-практики внедряют коллеги;

– поможете сделать роль SRE понятнее и заметнее на рынке.

🛠 В опросе задачи, инструменты, мониторинг, алертинг, CI/CD, культура постмортемов и взаимодействие ролей.

🕐 Заполнение займёт около 10 минут.

📝 Пройти опрос → https://survey.alchemer.eu/s3/90909470/SRE-2025

📊 Результаты — в ноябре на devcrowd.ru