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 19 407 suscriptores, ocupando la posición 6 929 en la categoría Tecnologías y Aplicaciones y el puesto 34 717 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 407 suscriptores.
Según los últimos datos del 20 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 109, y en las últimas 24 horas de -1, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 14.80%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 7.24% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 873 visualizaciones. En el primer día suele acumular 1 405 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1.
- 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 21 junio, 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.
Tiny automation pipelines. Bring CI/CD to the smallest projects. Self-hosted, Lightweight, CLI only.https://github.com/pipelight/pipelight
At Spotify, we have experimented with the Bazel build system since 2017. Over the years, the project has matured, and support for more languages and ecosystems have been added, thanks to the open source community and its maintainers at Google. In 2020, it became clear that the future of our client development required a unified build system that would scale well with our polyglot, multiplatform, and multimillion-line codebase. So we focused more of our energy on Bazel, and we transitioned the iOS Spotify app to build completely with Bazel for our 200+ engineers — without missing a single weekly release for millions of our iOS users.https://engineering.atspotify.com/2023/10/switching-build-systems-seamlessly
This Terraform module creates the required infrastructure needed to host GitHub Actions self-hosted, auto-scaling runners on AWS spot instances. It provides the required logic to handle the life cycle for scaling up and down using a set of AWS Lambda functions. Runners are scaled down to zero to avoid costs when no workflows are active.https://github.com/philips-labs/terraform-aws-github-runner
erid: 2VtzqvQfvtTI wrote this blog post to share some of my learnings on creating intuitive documentation for products and projects over the past decade or so. This post is for those of you looking to make your documentation interesting enough for the audience to keep coming back for more.https://abstraction.blog/2023/11/22/intuitive-documentation-strategy
CLI tool, Prometheus exporter, and Go module to list your unused disks in all cloud providershttps://github.com/grafana/unused
A performance dashboard for Postgreshttps://github.com/ankane/pghero
How to manage TF multiple environments in your projectshttps://medium.com/@b0ld8/terraform-manage-multiple-environments-63939f41c454
OpenSource solution that defines and manages the complete lifecycle of resources used and provisioned into a cloud!https://github.com/D10S0VSkY-OSS/Stack-Lifecycle-Deployment
erid: 2VtzqxP11uMCilicon is a macOS App that leverages Apple's Virtualization Framework to create, provision and run ephemeral CI VMs with near-native performance. It currently supports Github Actions, Buildkite Agent, GitLab Runner and arbitrary scripts.https://github.com/traderepublic/Cilicon
This repository contains the DCGM-Exporter project. It exposes GPU metrics exporter for Prometheus leveraging NVIDIA DCGM.https://github.com/NVIDIA/dcgm-exporter
In addition to the basic Pod types, Kubernetes offers a variety of higher-level workload types, such as Deployment, DaemonSet, and StatefulSet. These higher-level controllers allow you to provide services with multiple replicas of your Pods, making it easier to achieve a high availability architecture. However, when Kubernetes nodes experience failures such as crashes, network disruptions, or system failures, what happens to the Pods running on those nodes? From a high availability perspective, some might think that having multiple replicas of an application ensures that the service remains unaffected by node failures. However, in certain cases where the application belongs to a StatefulSet, horizontal scaling isn’t an option. In such scenarios, it becomes necessary to quickly reschedule the related Pods to maintain service availability in the event of node failures.https://hwchiu.medium.com/handling-pods-when-nodes-fail-4daae20213b
¡Ya disponible! Investigación de Telegram 2025 — los principales insights del año 
