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 19 397 suscriptores, ocupando la posición 6 907 en la categoría Tecnologías y Aplicaciones y el puesto 34 704 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 397 suscriptores.
Según los últimos datos del 24 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 75, 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 14.71%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 7.02% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 854 visualizaciones. En el primer día suele acumular 1 361 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 25 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.
For a data format, yaml is extremely complicated. It aims to be a human-friendly format, but in striving for that it introduces so much complexity, that I would argue it achieves the opposite result. Yaml is full of footguns and its friendliness is deceptive. In this post I want to demonstrate this through an example. This post is a rant, and more opinionated than my usual writing.https://ruudvanasseldonk.com/2023/01/11/the-yaml-document-from-hell
There are multiple ways to configure environment settings in Terraform. This repo evaluates initial four but it has branched out to multiple possible methods with an aim of writing DRY easy to maintain code.https://github.com/neilpricetw/terraform-workspaces-terragrunt-ansible
TerraCurl is a utility Terraform provider that allows engineers to make managed and unmanaged API calls in their Terraform code.https://www.hashicorp.com/blog/writing-terraform-for-unsupported-resources
GoReplay is an open-source tool for capturing and replaying live HTTP traffic into a test environment in order to continuously test your system with real data. It can be used to increase confidence in code deployments, configuration changes and infrastructure changes.https://github.com/buger/goreplay
How Relational Databases Work. This post talks about how indexes and transactions work on the inside of relational databases.https://architecturenotes.co/things-you-should-know-about-databases
Streamlining Your Team’s Incident Responsehttps://medium.com/saas-infra/navigating-the-storm-strategies-for-managing-production-incidents-e92ece8315c
The Twelve-Factor App methodology is a methodology for building software-as-a-service applications by Adam Wiggins. We cover how they have since evolved, and what we can learn from them today and how they changed the status quo of yesteryear.https://architecturenotes.co/12-factor-app-revisited
Have you ever wondered what it takes to build a serverless software as a service (SaaS) offering in under a year? In this blog post, we will describe how we built ClickHouse Cloud – a managed service on top of one of the most popular online analytical processing (OLAP) databases in the world – from the ground up. We delve into our planning process, design and architecture decisions, security and compliance considerations, how we achieved global scalability and reliability in the cloud, and some of the lessons we learned along the way.https://clickhouse.com/blog/building-clickhouse-cloud-from-scratch-in-a-year
More features, active users, and data are collected daily. Your database is slowing your application. Many people don't understand database sharding, which could solve their difficulties. This article explains database sharding, its benefits, including how to use it and when not to.https://architecturenotes.co/database-sharding-explained
The prometheus monitoring stack includes an alert dispatching component called alertmanager. Many integrations are available to dispatch the alerts to pager, slack, etc… i.e. notification channels. But how to bring easily and efficiently automated responses is the question we’ll try to answer here.https://touilleio.medium.com/alertmanager-incident-response-automation-with-n8n-c61227e196e9
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