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 19 885 suscriptores, ocupando la posición 6 568 en la categoría Tecnologías y Aplicaciones y el puesto 33 108 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 885 suscriptores.
Según los últimos datos del 25 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 31, y en las últimas 24 horas de 3, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 13.15%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 6.71% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 615 visualizaciones. En el primer día suele acumular 1 335 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
- 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 26 octubre, 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.
Cordium is a free and open source, self-hosted, identity-based sandbox platform built on Kubernetes and Octelium. Cordium is a general-purpose platform that provides isolated, reproducible isolated sandboxes for developers, AI agents, and automated workloads.https://github.com/octelium/cordium
Ballast is a Kubernetes operator that automatically right-sizes workload resource requests and limits based on real operational history. It is a more active alternative to Fairwinds Goldilocks: rather than suggesting changes, it applies them — at admission time and on running pods via in-place resize (Kubernetes 1.35+).https://github.com/Tight-Line/ballast
A native iOS and Android app for monitoring and managing Argo CD deployments from your phone.https://github.com/argoproj-labs/mobile-for-argocd
DCGM exporter tells you a GPU is hot. It won't tell you whose job is frying it. l9gpu closes the loop. One agent per node emits vendor-neutral OTLP with workload attribution baked in — Kubernetes pod, namespace, deployment; Slurm job, user, partition.https://github.com/last9/gpu-telemetry
In this article, we will use Kubernetes Service Accounts and the TokenReview API to authenticate requests between two in-cluster services, then improve the setup with audience-bound projected Service Account tokens.https://learnkube.com/microservices-authentication-kubernetes
This guide breaks down the ultimate architectural blueprint to solve cluster sprawl and deployment friction for good. By unifying the centralized governance of Rancher, the resource-saving isolation of virtual control planes (vCluster), and the advanced multi-stage pipeline automation of Kargo GitOps, this write-up touches on how to build a highly scalable, zero-touch infrastructure environment.https://medium.com/@taofeekaoyusuf/architecting-next-generation-infrastructure-enterprise-multi-cluster-management-using-rancher-fd024a400c87
As you'll know if you've ever tried to build a reasonably sized microservices application locally, you can run out of system resources quickly. So, in order to free up some of that valuable memory, I figured I'd offload things to a Kubernetes cluster running on some relatively cheap hardware, and in this post I'll describe the steps I took so that you can do the same.https://medium.com/@chris.allmark/building-a-kubernetes-raspberry-pi-homelab-with-k3s-f934e4b24162
A short debugging story about a two-year-old credentials file, an EKS cluster, and the AWS credential chain quietly doing exactly what it was designed to do.https://medium.com/@pradhyuman-pandey/the-kubectl-401-that-wasnt-a-kubernetes-problem-4e04438f33ae
Cilium runs in the kernel-level networking path of millions of Kubernetes pods. If our supply chain were compromised, the blast radius would not be small. Hardening the project against that scenario is something we work on continuously, and we wanted to write down what we actually do, in detail. Most of what follows isn't Cilium-specific: any open source project running CI/CD on GitHub Actions can apply these patterns.https://cilium.io/blog/2026/05/06/securing-cicd-open-source-lessons-from-cilium
You've got ten Claude Code agents running. Each is working on a different issue. Agent 3 just created a PR that conflicts with Agent 7's changes. Agent 5 has been stuck on "Analyzing codebase…" for 45 minutes. Welcome to multi-agent chaos. Turns out, scaling AI coding agents from 1 to 10+ is a completely different problem from running a single agent in a terminal.https://medium.com/@bobbydeveaux/how-i-learned-to-stop-worrying-and-love-the-reconciliation-loop-32928d0d80cf
I maintain an app that builds on top of kubernetes port forwarding, so i track KEP-4006 because the streaming protocol underneath keeps changing. I wrote about this back in april 2024 around Kubernetes 1.30, and six releases later it's changed enough to be worth another look.https://kftray.app/blog/kubernetes-spdy-to-websockets
Server-side apply matters because Kubernetes objects are shared state: it moves field ownership into the API server, so apply-style tools can surface conflicts instead of hiding them as silent overwrites.https://learnkube.com/server-side-apply-kubernetes
As a part of the journey to transition Netflix's compute infrastructure to be more Kubernetes-native, we have leaned into incorporating components from the Kubernetes ecosystem into our container platform Titus. One example of this is our use of Kueue, a cloud-native job queueing system for batch workloads, which has largely replaced the custom queuing and scheduling logic in our homegrown managed batch solution Compute Managed Batch (CMB).https://medium.com/netflix-techblog/how-netflix-simplified-batch-compute-with-kueue-87860682629c
A harness wraps a model. A rig wraps your harnesses. Define your agent team in YAML, boot it with one command. Claude Code and Codex in the same rig, managed as one system. OpenRig turns AI coding agents from a pile of terminal sessions into a persistent, organized team. Talk to a lead agent about the outcome you want; it can coordinate specialists across teams and bring you results and decisions that need your attention. Start with a repository and one useful change, then keep the team's work and context at the same addresses.https://github.com/mvschwarz/openrig
Whiteboard is an open-source desktop app where humans and agents can architect software together in a common workspace.https://github.com/devdotfast/whiteboard
walgit with a GitHub Enterprise Server facade — git over smart HTTP from an object-store buckethttps://github.com/rgodha24/walgithub
