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DevOps&SRE Library

DevOps&SRE Library

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Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3

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📈 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 19 874 suscriptores, ocupando la posición 6 614 en la categoría Tecnologías y Aplicaciones y el puesto 33 156 en la región Rusia.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 874 suscriptores.

Según los últimos datos del 28 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 1, y en las últimas 24 horas de -8, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 13.25%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 6.75% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 2 633 visualizaciones. En el primer día suele acumular 1 341 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 29 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.

19 874
Suscriptores
-824 horas
-187 días
+130 días
Archivo de publicaciones
helm-controller
A simple way to manage helm charts with Custom Resource Definitions in k8s.
https://github.com/k3s-io/helm-controller

Queue-Based Autoscaling Without Flapping: Rethinking App Scaling with K8s, KEDA, and RabbitMQ https://blog.stackademic.com/autoscaling-with-message-queues-why-everyone-gets-it-wrong-with-kubernetes-keda-rabbitmq-and-f1a4c38e0df4

Rethinking QA: From DevOps to Platform Engineering and SRE
A wake‑up call for QA to upskill for platform engineering and SRE, including cloud‑native practices, automation mastery, and system reliability at scale.
https://dzone.com/articles/rethinking-qa-from-devops-to-platform-engineering

Finding the grain of sand in a heap of Salt
How do you find the root cause of a configuration management failure when you have a peak of hundreds of changes in 15 minutes on thousands of servers? That was the challenge we faced as we built the infrastructure to reduce release delays due to failures of Salt, a configuration management tool. (We eventually reduced such failures on the edge by over 5%, as we’ll explain below.) We’ll explore the fundamentals of Salt, and how it is used at Cloudflare. We then describe the common failure modes and how they delay our ability to release valuable changes to serve our customers. By first solving an architectural problem, we provided the foundation for self-service mechanisms to find the root cause of Salt failures on servers, datacenters and groups of datacenters. This system is able to correlate failures with git commits, external service failures and ad hoc releases. The result of this has been a reduction in the duration of software release delays, and an overall reduction in toilsome, repetitive triage for SRE. To start, we will go into the basics of the Cloudflare network and how Salt operates within it. And then we’ll get to how we solved the challenge akin to finding a grain of sand in a heap of Salt.
https://blog.cloudflare.com/finding-the-grain-of-sand-in-a-heap-of-salt

PHP 8.5 benchmarks: The state of PHP performance across major CMSs and frameworks
PHP 8.5 has now been officially released, and developers naturally want to know what kind of performance improvements they can expect across popular CMSs and frameworks. To find out, we benchmarked 13 widely used CMSs and frameworks, including WordPress, WooCommerce, Drupal, Joomla, Laravel, Symfony and CodeIgniter, on PHP 8.2, 8.3, 8.4, and 8.5 under identical conditions. WordPress was also tested on PHP 7.4, since a notable share of sites still run on that version. Our intention is to provide a clear, practical look at how performance shifts across recent PHP releases and what you can expect when upgrading.
https://kinsta.com/blog/php-benchmarks

Enroll
Enroll inspects a Debian-like or RedHat-like system, harvests the state that matters, and generates Ansible roles/playbooks so you can bring snowflakes under management fast.
https://enroll.sh

ch-vmm
ch-vmm is a Kubernetes add-on for running Cloud Hypervisor virtual machines. By using Cloud Hypervisor as the underlying hypervisor, ch-vmm enables a lightweight and secure way to run fully virtualized workloads in a canonical Kubernetes cluster.
https://github.com/nalajala4naresh/ch-vmm

clickhouse-operator
The Altinity Kubernetes Operator for ClickHouse creates, configures and manages ClickHouse clusters running on Kubernetes.
https://github.com/Altinity/clickhouse-operator

kexa
Kexa is an open-source compliance management tool that simplifies security and compliance across multiple cloud platforms including Azure, Google Cloud, AWS, and more.
https://github.com/kexa-io/kexa

build
Shipwright is an extensible framework for building container images on Kubernetes.
https://github.com/shipwright-io/build

Strengthen Kubernetes Security with Vault Agent Injector https://hackernoon.com/strengthen-kubernetes-security-with-vault-agent-injector

Intelligent Kubernetes Load Balancing at Databricks
Real-Time, Client-Side Load Balancing for Internal and Ingress Traffic in Kubernetes
https://www.databricks.com/blog/intelligent-kubernetes-load-balancing-databricks

Extracting JVM Data from Crash-Looping Java Containers in Kubernetes https://medium.com/@zelldon91/getting-data-out-of-burning-java-containers-6e0c8bb53eec

Karpenter at Beekeeper by LumApps: Fun Stories
At the beginning of this year, we (Beekeeper by LumApps Engineering) decided to adopt Karpenter for our EKS (Kubernetes/K8s) workloads, replacing our previous node autoscaling setup that used cluster-autoscaler with a managed autoscaling group (ASG). We made this decision before the release and hype of EKS Auto Mode, which is why we chose to implement a self-managed Karpenter solution.
https://medium.com/beekeeper-technology-blog/karpenter-at-beekeeper-by-lumapps-fun-stories-7c55656f02b8

It works on my cluster: a tale of two troubleshooters https://octopus.com/blog/verifying-and-troubleshooting-kubernetes-deployments

How we deploy the largest GitLab instance 12 times daily
Take a deep technical dive into GitLab.com's deployment pipeline, including progressive rollouts, Canary strategies, database migrations, and multiversion compatibility.
https://about.gitlab.com/blog/continuously-deploying-the-largest-gitlab-instance

Pulse
Pulse is a modern, unified dashboard for monitoring your infrastructure across Proxmox, Docker, and Kubernetes. It consolidates metrics, alerts, and AI-powered insights from all your systems into a single, beautiful interface.
https://github.com/rcourtman/Pulse

notifuse
The open-source alternative to Mailchimp, Brevo, Mailjet, Listmonk, Mailerlite, and Klaviyo, Loop.so, etc. Notifuse is a modern, self-hosted emailing platform that allows you to send newsletters and transactional emails at a fraction of the cost. Built with Go and React, it provides enterprise-grade features with the flexibility of open-source software.
https://github.com/Notifuse/notifuse

databasus
Databasus is a free, open source and self-hosted tool to backup databases. Make backups with different storages (S3, Google Drive, FTP, etc.) and notifications about progress (Slack, Discord, Telegram, etc.).
https://github.com/databasus/databasus