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 19 870 suscriptores, ocupando la posición 6 604 en la categoría Tecnologías y Aplicaciones y el puesto 33 067 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 870 suscriptores.
Según los últimos datos del 05 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -13, y en las últimas 24 horas de 11, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 13.00%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 6.56% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 583 visualizaciones. En el primer día suele acumular 1 303 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 06 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.
Additional Networks on Kubernetes using Multus CNI.https://medium.datadriveninvestor.com/can-a-kubernetes-pod-have-more-than-one-network-attached-6d78456dbeb2
Understanding Terraform Variable Precedence: Which Value Wins?https://towardsaws.com/mastering-terraform-understanding-variable-precedence-for-optimal-configuration-control-59c98dcd1505
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, erid: 2VtzqwFfAuVRecently, I was tasked with analyzing cross-AZ traffic in Kubernetes to identify opportunities for reduction, as it is a significant contributor to our AWS bill. The first step was to understand how traffic flows between services and what portion consistently crosses Availability Zones (AZs). To optimize cross-AZ traffic, I considered using topology-aware routing for services. However, before implementing this solution, I needed a method to effectively analyze inter-pod traffic at the AZ level. To achieve this, monitoring network traffic at the pod level is necessary. I decided to use eBPF (Extended Berkeley Packet Filter) technology, as it allows us to observe network interactions with minimal performance overhead. In this article, I will explain what eBPF is, explore the tools available for using it, and provide a step-by-step guide on implementing monitoring for inter-pod traffic using Retina, Kube State Metrics, Prometheus, and Grafana.https://medium.com/@j.aslanov94/monitoring-inter-pod-traffic-at-the-az-level-with-ebpf-based-tool-retina-7a79818e305b
Master Terraform modules for Azure infrastructure management. Learn to create, use, and optimize modules, build a multi-tier application, and implement best practices for large-scale projects. Ideal for DevOps engineers and cloud architects looking to enhance their Infrastructure as Code skills on Azure.https://www.iamachs.com/p/azure-terraform/part-7-modules-grand-finale
Add a terraform plan -light flag such that only resources modified in code are targeted for planning. This would reduce the scope of the pre-plan refresh down to the set of resources we know changed, which reduces overall plan times without the consistency risk of -refresh=false. For Terraform to know what resources were modified in code, it would store the hash of the serialized sorted attribute map for each resource successfully applied. This would allow diff’ing “last-applied code” vs. “new code”, the result of which is the scope of the next -light plan. Basically, -light autogenerates the -target list from code changes.https://www.bejarano.io/terraform-plan-light
In this article I want to describe how to configure the IAM relationships in a multi-account AWS organization with AWS SSO to allow managing infrastructure as a code with terragrunt/terraform from both CI/CD runner and local PCs.https://dev.to/yyarmoshyk/proper-setup-of-iam-federation-in-multi-account-aws-organization-for-terragrunt-3ape
In this blog post we will look at securing an AWS Terraform configuration using Trivy to check for known security issues. We will explore different ways of using Trivy, integrating it into your CI pipelines, practical issues you might face and solutions to those issues to get you started with improving the security of your IaC codebases.https://verifa.io/blog/how-to-secure-terraform-trivy
wush is a command line tool that lets you easily transfer files and open shells over a peer-to-peer WireGuard connection.https://github.com/coder/wush
Self-hostable clone of lazydocker for the web. Manage your Docker fleet with easehttps://github.com/will-moss/isaiah
The fastest knowledge base for growing teams. Beautiful, realtime collaborative, feature packed, and markdown compatible.https://github.com/outline/outline
