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 19 861 suscriptores, ocupando la posición 6 598 en la categoría Tecnologías y Aplicaciones y el puesto 33 029 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 861 suscriptores.
Según los últimos datos del 11 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -34, 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 12.87%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 6.37% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 556 visualizaciones. En el primer día suele acumular 1 265 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 12 noviembre, 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.
Нативная интеграция. Информация о продукте www.otus.ruWhat is it? How does it work? When to use it and when not to use it?https://blog.alexewerlof.com/p/failover
Reliable software design is a discipline that involves a careful balance of numerous principles, each of which is intended to ensure the development of high-quality software that meets the needs of users and stakeholders.https://www.codereliant.io/principles-of-reliable-software-design-part-1
hi! this article is aimed at folks who are interested in performance analysis or operations of software, and want to understand the impact on user experience. the examples will be centered around web applications and web services, but can be applied in other contexts as well.https://igor.io/latency
We are going to describe how CloudFront can be integrated with API Gateway to provide lower-latency. And we will go through the attributes of the CloudFront resources in Terraform, including the ones that we need to create the distribution and configure origins and behaviors.https://medium.com/@xpiotrkleban/cloudfront-and-terraform-essentials-how-to-optimize-content-delivery-27c84e8aef04
- Consulting - Embedded - Infra Teamhttps://certomodo.substack.com/p/sre-engagement-models
tfvar is a Terraform's variable definitions template generator. It scans your Terraform configurations or modules and extracts the variables into formats of your choice for editing, e.g., tfvar, environment variables, etc.https://github.com/shihanng/tfvar
This is an implementation of the Terraform registry protocol used to host a private Terraform registry.https://github.com/nrkno/terraform-registry
Terragrunt alternative to keep your Terraform code consistent and DRYhttps://github.com/refl3ction/tfgen
Leveraging Terraform to automate the setup and configuration of SSO resources, streamline user management, and enhance security.https://medium.com/cloud-native-daily/automate-aws-sso-using-terraform-2f219a45c16f
We investigated Crossplane at a deep level and found it wasn't for us. Read on to learn about our investigation and the issues we found.https://masterpoint.io/updates/passing-on-crossplane
TL:DR At Spotify, we run containerized workloads in production across our entire organization in five regions where our main production workloads are in Google Kubernetes Engine (GKE) on Google Cloud Platform (GCP). If we detect suspicious behavior in our workloads, we need to be able to quickly analyze it and determine if something malicious has happened. Today we leverage commercial solutions to monitor them, but we also do our own research to discover options and alternative methods. One such research project led to the discovery of a new method for conducting memory analysis on GKE by combining three open source tools, AVML, dwarf2json, and Volatility 3, the result being a snapshot of all the processes and memory activities on a GKE node. This new method empowers us and other organizations to use an open source alternative if we do not have a commercial solution in place or if we want to compare our current monitoring to the open source one. In this blog post, I’ll explain in detail how memory analysis works and how this new method can be used on any GKE node in production today.https://engineering.atspotify.com/2023/06/analyzing-volatile-memory-on-a-google-kubernetes-engine-node
