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 19 449 suscriptores, ocupando la posición 6 810 en la categoría Tecnologías y Aplicaciones y el puesto 34 405 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 449 suscriptores.
Según los últimos datos del 07 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 71, y en las últimas 24 horas de 6, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 12.90%. 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 2 508 visualizaciones. En el primer día suele acumular 1 408 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 08 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.
A lightweight and ultra-fast tool for building observability pipelineshttps://github.com/timberio/vector
- Define a path for error handling - Have a plan for recovery - Always set timeouts on remote system calls - Retry on timeout - Use circuit breaker - Don't handle timeouts like a failure - Don't invoke remote systems inside transactions - Use smart batching - All APIs MUST be idempotent - Define response time and throughput SLAs explicitly and code to adhere to them - Define and limit batch APIs - Think about Observability up-front - Cache aggressively - Consider unit of failure - Isolate external domain objects at the edge of the system - Sanitize input at every edge - Never commit credentialshttps://www.kislayverma.com/post/code-review-checklist-for-distributed-systems
KubeDB by AppsCode is a production-grade cloud-native database management solution for Kubernetes. KubeDB simplifies and automates routine database tasks such as provisioning, patching, backup, recovery, failure detection, and repair for various popular databases on private and public clouds. It frees you to focus on your applications so you can give them the fast performance, high availability, security and compatibility they need.https://github.com/kubedb/operator
This year, my teammates and I solved a CPU throttling issue that affects nearly every container orchestrator with hard limits, including Kubernetes, Docker, and Mesos. In doing so, we lowered worst-case response latency in one of Indeed’s applications from over two seconds to 30 milliseconds. In this two-part series, I’ll explain our journey to find the root cause and how we ultimately arrived at the solution.Part 1: https://medium.com/indeed-engineering/unthrottled-fixing-cpu-limits-in-the-cloud-a0995ede8e89 Part 2: https://medium.com/indeed-engineering/unthrottled-how-a-valid-fix-becomes-a-regression-f61eabb2fbd9
Experiments with connection poolers on Kubernetes for Postgres Operatorhttps://engineering.zalando.com/posts/2020/06/postgresql-connection-poolers.html
Twitter’s SRE team is one of the most advanced in the industry, managing the services that capture the pulse of the world every single day and throughout the moments that connect us all. We had the privilege of interviewing Brian Brophy, Sr. Staff SRE, Carrie Fernandez, Head of Site Reliability Engineering, JP Doherty, Engineering Manager, and Zac Kiehl, Sr. Staff SRE to learn about how SRE is practiced at Twitter.Part 1: https://www.blameless.com/blog/twitters-reliability-journey Part 2: https://www.blameless.com/blog/slo-adoption-twitter
Syncthing is a continuous file synchronization program. It synchronizes files between two or more computers in real time, safely protected from prying eyes. Your data is your data alone and you deserve to choose where it is stored, whether it is shared with some third party, and how it's transmitted over the internet.https://syncthing.net
A list command for AWS resources. It supports listing of over 200 types of resources across 76 different AWS services. The goal is to support every AWS resource that is also covered by Terraform (currently over 500) without adding much code but rather generating it.https://github.com/jckuester/awsls
Allok8 is a dynamic, conventional, and uncomplicated Kubernetes visualization tool.https://github.com/oslabs-beta/Allok8
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