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 19 442 suscriptores, ocupando la posición 6 821 en la categoría Tecnologías y Aplicaciones y el puesto 34 364 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 442 suscriptores.
Según los últimos datos del 06 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 69, y en las últimas 24 horas de 2, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 12.98%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 7.22% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 523 visualizaciones. En el primer día suele acumular 1 404 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 07 julio, 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.
What is CML? Continuous Machine Learning (CML) is an open-source library for implementing continuous integration & delivery (CI/CD) in machine learning projects. Use it to automate parts of your development workflow, including model training and evaluation, comparing ML experiments across your project history, and monitoring changing datasets.https://github.com/iterative/cml
Kip is a Virtual Kubelet provider that allows a Kubernetes cluster to transparently launch pods onto their own cloud instances. The kip pod is run on a cluster and will create a virtual Kubernetes node in the cluster. When a pod is scheduled onto the Virtual Kubelet, Kip starts a right-sized cloud instance for the pod’s workload and dispatches the pod onto the instance. When the pod is finished running, the cloud instance is terminated. We call these cloud instances “cells”.https://github.com/elotl/kip
This post will explore the newest addition to the kubectl plugin of cert-manager, kubectl cert-manager status certificate, a command designed to make the troubleshooting experience of cert-manager problems easier.https://blog.jetstack.io/blog/cert-manager-status-cert
It is an operator that brings a layer of verification and policy to the native ResourceQuotas mechanism.https://github.com/ca-gip/kotary
As part of Jetstack’s Subscription offering, the assigned CRE (Customer Reliability Engineer) will carry out Proof of Concepts for validating and developing projects that your team can implement against your Kubernetes Cluster. One of our Subscription customers, Sky Betting and Gaming, tasked us with investigating whether it was possible to migrate the CNI solution for a Kubernetes cluster from Canal to Cilium, live. In this post we’ll discuss why one might want to change CNIs, what I have learnt developing a solution for live migration, and how it all works.https://blog.jetstack.io/blog/cni-migration
Arktos is an open source project designed for large scale cloud compute infrastructure. It is evolved from the open source project Kubernetes codebase with core design changes.
https://github.com/centaurus-cloud/arktosAuthelia is an open-source authentication and authorization server providing 2-factor authentication and single sign-on (SSO) for your applications via a web portal. It acts as a companion of reverse proxies like nginx, Traefik or HAProxy to let them know whether queries should pass through. Unauthenticated user are redirected to Authelia Sign-in portal instead.https://github.com/authelia/authelia
In mid-2019, the Linkerd project’s continuous integration (CI) took 45 minutes, all tests were serialized on a single Kubernetes cluster, and multi-hour backups were common. A migration onto one-off Kubernetes in Docker (kind) clusters and GitHub Actions got CI below 10 minutes, and made it parallelizable. This post will detail Linkerd’s CI journey from a single, persistent Kubernetes cluster to theoretically unlimited one-off kind clusters. This journey includes a few detours on what patterns and tools worked well (and not so well) for Linkerd’s use case.https://buoyant.io/2020/09/16/linkerds-ci-kubernetes-in-docker-github-actions
For about a year now, the infrastructure department has been working on migrating all services that run on GitLab.com to Kubernetes. The effort has not been without challenges, not only with moving services to Kubernetes but also managing a hybrid deployment during the transition. We have learned a number of lessons along the way that we will explore in this post.https://about.gitlab.com/blog/2020/09/16/year-of-kubernetes
Mount kubernetes's metadata object store as a file systemhttps://github.com/configurator/kubefs
A collection of diagrams explaining kuberneteshttps://github.com/cloudogu/k8s-diagrams
The helm-docs tool generates automatic documentation from helm charts into a markdown file. The resulting file contains metadata about the chart and a table with all of your charts' values, their defaults, and an optional description parsed from comments.https://github.com/norwoodj/helm-docs
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