DevOps&SRE Library
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
Больше📈 Аналитический обзор Telegram-канала DevOps&SRE Library
Канал DevOps&SRE Library (@devopslibrary) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 19 886 подписчиков, занимая 6 593 место в категории Технологии и приложения и 33 159 место в регионе Россия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 19 886 подписчиков.
Согласно последним данным от 26 октября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 23, а за последние 24 часа — -8, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 13.22%. В первые 24 часа после публикации контент обычно набирает 6.74% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 2 629 просмотров. В течение первых суток публикация набирает 1 340 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 2.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как kubernete, cluster, infrastructure, storage, configuration.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
Благодаря высокой частоте обновлений (последние данные получены 27 октября, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
Synthetic monitoring for gRPC server-side streams — open each stream, verify frames actually arrive, and export Prometheus metrics.https://github.com/youngpabl0/grpc-streams-checker
k8s-mechanic is a Kubernetes controller that watches your cluster for failures, investigates them automatically, and opens pull requests on your GitOps repository with proposed fixes — all without leaving your cluster. When a Pod is crash-looping, a Deployment is degraded, or a Node goes NotReady, mechanic spawns an in-cluster OpenCode agent that inspects the live cluster, locates the relevant manifests in your GitOps repo, determines the root cause, and opens a PR.https://github.com/lenaxia/k8s-mechanic
Ephemeral environments are short-lived, isolated, fully provisioned, on-demand test environments created automatically from a pull request and destroyed the moment their job is done. This guide walks through why traditional environments fail, what ephemeral environments actually are, the modern stack that powers them, and a concrete, code-level blueprint for building your first ephemeral testing pipeline.https://medium.com/@shezakhanashraf/ephemeral-environments-automating-qa-for-reliable-cloud-native-systems-9c94035feaf6
We drained a Network Load Balancer during a planned migration, and one internal service kept hammering the dead IPs for 8 minutes. The cause wasn't the failover. It was a JVM caching the DNS record forever. The fix was a 30-second TTL and a health-check tweak, not a smarter system.https://dev.to/claire_nguyen/an-8-minute-outage-from-a-dead-nlb-and-a-jvm-that-cached-dns-forever-4dmj
You've scaled up your Kubernetes cluster. EC2 instances are running. CPU and memory metrics look reasonable. And yet — the number of completed Dagster runs stubbornly refuses to climb. This article walks through the full diagnostic journey — from the obvious knobs to the hidden PostgreSQL bottleneck that probably nobody warns you about.https://medium.com/@wojciech.szyba/dagster-on-kubernetes-when-more-nodes-wont-save-you-d591ba6669fd
OpenViking is an open-source context database for AI agents. It stores memories, resources, and skills as one virtual filesystem under the viking:// protocol, so an agent browses its own context with ls, tree, and find instead of querying a black-box vector store. Content is processed into three tiers — L0 abstract, L1 overview, L2 details — and loaded on demand. Every retrieval leaves a trajectory you can watch and debug.https://github.com/volcengine/OpenViking
A fast, rootless sandbox and virtual resource runtime for any workload, including untrusted and AI-generated code. Daemonless: a real, kernel-enforced container in ~3.5 ms from an OCI image, no daemon, one 1.52 MB static binary.https://github.com/getkern/kern
PicoMQ is durable, real-time streams over HTTP, built on S3-compatible object storage.https://github.com/picomq/picomq
We spend so much of our time navigating through files, lines, and commands. That's where Skim comes in! It's a powerful fuzzy finder designed to make your workflow faster and more efficient.https://github.com/skim-rs/skim
A fully-featured team and group chat application that you can easily selfhost.https://github.com/chattocorp/chatto
devopslibrary персональные билеты дешевле
Купить билетTig is an ncurses-based text-mode interface for git. It functions mainly as a Git repository browser, but can also assist in staging changes for commit at chunk level and act as a pager for output from various Git commands.https://github.com/jonas/tig
Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% localhttps://github.com/colbymchenry/codegraph
A focused launcher for your desktop - native, fast, extensiblehttps://github.com/vicinaehq/vicinae
Spiderpool is an underlay and RDMA network solution for the Kubernetes. It enhances the capabilities of Macvlan CNI, ipvlan CNI, SR-IOV CNI, fulfills various networking needs, and supports to run on bare metal, virtual machine, and public cloud environments. Spiderpool delivers exceptional network performance, particularly benefiting network I/O-intensive and low-latency applications like storage, middleware, and AI.https://github.com/spidernet-io/spiderpool
Giga opinionated zero-friction workflow tool for managing git worktrees and tmux windows as isolated development environments. Perfect for running multiple AI agents in parallel without conflict.https://github.com/raine/workmux
A K9s-inspired terminal UI for monitoring Argo CD resources in real-timehttps://github.com/vvrnv/argo9s
celld is an open-source daemon that runs Cloudflare Workers and Durable Objects on your own machines. Each object is its own SQLite database. celld addresses an object by name and replicates it to a bucket that you own. The bucket can be S3-compatible or Google Cloud Storage. The nodes coordinate through that bucket alone, with no control plane and no consensus. Because every object is its own small database, applications shard by construction — the contention and blast-radius failures of one shared database are designed out, not managed. A cell that no node holds is inactive, and an inactive cell costs nearly nothing.https://github.com/denoland/celld
Stab your git history into shape — every commit's message, author, and dates, edited like a table.https://github.com/TheRealYT/git-knife
