DevOps&SRE Library
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
Mostrar más📈 Análisis del canal de Telegram DevOps&SRE Library
El canal DevOps&SRE Library (@devopslibrary) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 19 847 suscriptores, ocupando la posición 6 462 en la categoría Tecnologías y Aplicaciones y el puesto 33 046 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 847 suscriptores.
Según los últimos datos del 15 septiembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 115, y en las últimas 24 horas de 10, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 15.05%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 7.04% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 987 visualizaciones. En el primer día suele acumular 1 398 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 10.
- Intereses temáticos: El contenido se centra en temas clave como kubernete, cluster, infrastructure, storage, configuration.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 16 septiembre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
Agent 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/substrate
Kubernetes 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/ksolver
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
