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 19 758 suscriptores, ocupando la posición 6 527 en la categoría Tecnologías y Aplicaciones y el puesto 33 399 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 758 suscriptores.
Según los últimos datos del 27 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 137, y en las últimas 24 horas de 7, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 14.01%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 7.00% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 768 visualizaciones. En el primer día suele acumular 1 382 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
- 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 28 agosto, 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.
When working on code with GenAI assistance you need a better understanding of the system than when working without.https://www.spinellis.gr/blog/20260523
When thinking about Service Level Objectives (SLOs) and contractual Service Level Agreements (SLAs) for availability, I always like to put the percentages into concrete numbers.https://incident.io/blog/humans-arent-fast-enough-for-4-nines
Benchmarking is hard. There are many ways to do it wrong and few to do it right. But zooming out from any single system or harness, there are broad principles that should be applied to all benchmarking. Using these correctly makes it difficult to produce biased results. Am I the world's best benchmarker? Certainly not. I invented the language balls, after all. But correctness and precision are important parts of PlanetScale's culture. We've spent considerable time learning the art of benchmarking, and are here to share best-practices. Here, we're focusing primarily on benchmarking databases, but these principles apply to many domains.https://planetscale.com/blog/on-benchmarking
AI tools have genuinely changed how fast teams can produce code, but they haven't changed how fast a codebase can safely absorb that code.https://stackoverflow.blog/2026/05/12/you-shipped-it-fast-but-did-you-ship-it-right
The real learning comes from analyzing the incident while writing the document, not reading it; the document at the end is the residue of the learning.https://greatcircle.com/blog/2026/05/05/problem-with-ai-generated-post-incident-reviews
A single front door for all your AI agents and MCPshttps://github.com/dfradehubs/agentgram
SlimFaas is a lightweight, plug-and-play Function-as-a-Service (FaaS) platform for Kubernetes (and Docker-Compose / Podman-Compose).https://github.com/SlimPlanet/SlimFaas
How I turned four Proxmox nodes, some enterprise surplus drives, and an afternoon into a fully automated HA k3s cluster with Rancher, Traefik, and Ansible — all running on hardware that draws less power than a gaming PC.https://thiago-marsal.medium.com/homelab-k3s-ha-cluster-a-complete-architecture-guide-6a60005b6e99
This post focuses on three areas that separate a demo from production systems: backups, recovery and connection pooling.https://dylanmarkdacosta.medium.com/designing-for-failure-with-cloudnativepg-2c3987605a39
Workflow DevKit lets you write durable, long-running workflows directly in your Next.js and Node.js apps. You define steps with ’use step’, and the SDK handles persistence, retries, and replay automatically. Workflows survive server restarts, can sleep for days, and resume exactly where they left off. On Vercel, all of this works out of the box — the platform handles deployment versioning and queue routing behind the scenes. But what happens when you deploy to your own Kubernetes cluster? Version mismatch. And it’s subtle enough to corrupt data before you notice. We built Platformatic World to fix this. It’s a drop-in World implementation that brings the same deployment safety to any Kubernetes cluster. Every workflow run is pinned to the code version that created it. Queue messages are routed to the correct versioned pods. Old versions stay alive until all their in-flight runs are complete.https://blog.platformatic.dev/durable-workflows-kubernetes-version-safe
When we set out to build the Logins page for AuditRadar — a real-time audit log explorer for OpenShift and Kubernetes — we hit a wall that forced us to deeply understand how authentication actually works on each platform.https://blog.audit-radar.com/why-kubernetes-has-no-login-and-how-we-solved-it-for-auditradar
Every time we restarted Atlantis, the tool we use to plan and apply Terraform changes, we’d be stuck for 30 minutes waiting for it to come back up.https://blog.cloudflare.com/one-line-kubernetes-fix-saved-600-hours-a-year
A practitioner's account of the errors the KServe getting-started documentation doesn't tell you about — with exact terminal output, root causes, and working Kustomize patches.https://sodiq-jimoh.hashnode.dev/why-your-kserve-inferenceservice-won-t-become-ready-four-production-failures-and-fixes
Railway experienced a platform-wide service disruption due to Google Cloud incorrectly placing our account in a suspended status.https://blog.railway.com/p/incident-report-may-19-2026-gcp-account-outage
As part of a routine infrastructure change, a configuration update accidentally caused a large portion of Discord's session management servers to shut down simultaneously.https://discord.com/blog/behind-the-scenes-of-the-3-25-26-voice-outage
GitHub's reliability has been beyond unacceptable recently: last month, third party measurements pinned it at one nine (right at 90%).https://blog.pragmaticengineer.com/the-pulse-ai-load-breaks-github
