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.
sem is a semantic version control tool that works on top of Git. It parses your code with tree-sitter, extracts every function, class, and method as an entity, and diffs at the entity level instead of lines. This means you see "function blahh was modified" instead of "lines x-y changed."https://github.com/Ataraxy-Labs/sem
A Golang-based Redis operator that will make/oversee Redis standalone, cluster, replication, and sentinel mode setup on top of Kubernetes. It can create Redis setups with best practices on Cloud as well as the bare metal environment. Also, it provides an in-built monitoring capability using redis-exporter.https://github.com/OT-CONTAINER-KIT/redis-operator
The fix took us down a rabbit hole of Next.js caching internals, Kubernetes networking, and a Redis Pub/Sub setup.https://strapi.io/blog/fixing-isr-revalidation-across-kubernetes-replicas-on-strapi
Base64 is a reversible encoding, not a security mechanism.https://segfaultpw.substack.com/p/sre-secrets-management-in-kubernetes
Kubermatic just released SecureGuard — an open-source secrets management platform built on OpenBao and External Secrets Operator.https://dmuix.medium.com/i-setup-kubermatic-secureguard-before-it-even-existed-03137e825c3a
This article documents our team’s research journey exploring Ansible AWX as an infrastructure automation orchestration platform — from initial deployment and OpenStack integration to air-gap installation.https://medium.com/@btech-engineering/ansible-awx-infrastructure-automation-on-top-of-kubernetes-9c81986131c4
96 B200 GPUs. 12 nodes. A load balancer distributing requests across them.https://medium.com/google-cloud/1-million-tokens-per-second-qwen-3-5-27b-on-gke-with-b200-gpus-161da5c1b592
Kubedock is a minimal implementation of the docker api that will orchestrate containers on a kubernetes cluster, rather than running containers locally. The main driver for this project is to run tests that require docker-containers inside a container, without the requirement of running docker-in-docker within resource heavy containers.https://github.com/joyrex2001/kubedock
The open-source framework for AI SRE agents, and the training and evaluation environment they need to improve. Connect the 60+ tools you already run, define your own workflows, and investigate incidents on your own infrastructure.https://github.com/Tracer-Cloud/opensre
Paneru is a MacOS window manager that arranges windows on an infinite strip, extending to the right. A core principle is that opening a new window will never cause existing windows to resize, maintaining your layout stability.https://github.com/karinushka/paneru
An infinite canvas for your code, terminals, browsers, docs, and AI agents.https://github.com/0-AI-UG/cate
MarkItDown is a lightweight Python utility for converting various files to Markdown for use with LLMs and related text analysis pipelines.https://github.com/microsoft/markitdown
Slumber is a TUI (terminal user interface) HTTP client. Define, execute, and share configurable HTTP requests.https://github.com/LucasPickering/slumber
“In the age of AI, taste is the ultimate differentiator.”https://terriblesoftware.org/2026/03/27/good-taste-is-just-experience
mq is a command-line tool that processes Markdown using a syntax similar to jq. It's written in Rust, allowing you to easily slice, filter, map, and transform structured data.https://github.com/harehare/mq
You’re in a 1:1 with your manager, and things are going just fine. You talk about the project and that other thing. Toward the end, she asks: “Anything else?” And there is something else. You want to lead that new initiative. Or move to a different team. Or you’ve been thinking about what stands in the way of your promotion. The thought is right there, sitting in the back of your throat. You’re going to say it, and then… “Nope, all good.” You get out of the call feeling a specific kind of regret. You rationalize it somehow and then tell yourself you’ll bring it up next time (you won’t).https://terriblesoftware.org/2026/04/01/say-the-thing-you-want
High-severity incidents expose how a team really works together, usually within the first ten minutes.https://uptimelabs.io/articles/teamwork-incident-response
