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 19 385 suscriptores, ocupando la posición 6 952 en la categoría Tecnologías y Aplicaciones y el puesto 34 902 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 385 suscriptores.
Según los últimos datos del 10 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 154, y en las últimas 24 horas de 7, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 15.22%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 7.12% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 949 visualizaciones. En el primer día suele acumular 1 380 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 11 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.
Since 2023, AWS CSI drivers can be misused to bypass node isolation in multi-tenant clusters.https://soc-inspiration.medium.com/upgrade-aws-csi-drivers-in-your-multi-tenant-kubernetes-cluster-a2cbc47e47f8
Siper is a high-performance, XDP-based IP blacklist firewall built with Go and C (eBPF). It allows you to drop malicious traffic at the earliest possible stage in the Linux networking stack—the network driver level. By leveraging XDP (Express Data Path), Siper processes packets before they even reach the kernel's heavy networking subsystem, providing extreme performance even under heavy DDoS conditions.https://github.com/fksvs/siper
Migrate Kubernetes Ingress NGINX to Traefik or Gateway API — CLI + web UIhttps://blog.kubesimplify.com/ing-switch-migrate-from-ingress-nginx-to-traefik-or-gateway-api-in-minutes-not-days
As announced November 2025, Kubernetes will retire Ingress-NGINX in March 2026. Despite its widespread usage, Ingress-NGINX is full of surprising defaults and side effects that are probably present in your cluster today. This blog highlights these behaviors so that you can migrate away safely and make a conscious decision about which behaviors to keep. This post also compares Ingress-NGINX with Gateway API and shows you how to preserve Ingress-NGINX behavior in Gateway API. The recurring risk pattern in every section is the same: a seemingly correct translation can still cause outages if it does not consider Ingress-NGINX's quirks. I'm going to assume that you, the reader, have some familiarity with Ingress-NGINX and the Ingress API. Most examples use httpbin as the backend. Also, note that Ingress-NGINX and NGINX Ingress are two separate Ingress controllers. Ingress-NGINX is an Ingress controller maintained and governed by the Kubernetes community that is retiring March 2026. NGINX Ingress is an Ingress controller by F5. Both use NGINX as the dataplane, but are otherwise unrelated. From now on, this blog post only discusses Ingress-NGINX.https://kubernetes.io/blog/2026/02/27/ingress-nginx-before-you-migrate
Wozz is a Kubernetes cost optimization tool that catches expensive resource changes before they merge.https://github.com/WozzHQ/wozz
This article explains how to reduce a Kubernetes sidecar container from 421MB to 90MB by building a statically linked Go binary and using a FROM scratch base image.https://medium.com/@soumya-rout/how-we-shrunk-a-kubernetes-sidecar-from-421mb-to-90mb-with-no-os-inside-8757eaefc3ed
This article explains how to think about Kubernetes as a runtime for declarative infrastructure with a type system rather than just a container orchestrator.https://garnaudov.com/writings/how-i-think-about-kubernetes
tapes is an Agentic telemetry system for content-addressable LLM interactions. It provides durable storage of agent sessions, plug-and-play OpenTelemetry instrumentation, and deterministic replay of past agent messages.https://github.com/papercomputeco/tapes
Zvec is an open-source, in-process vector database — lightweight, lightning-fast, and designed to embed directly into applications. Built on Proxima (Alibaba's battle-tested vector search engine), it delivers production-grade, low-latency, scalable similarity search with minimal setup.https://github.com/alibaba/zvec
A git diff pager based on delta but with a file tree, à la GitHub.https://github.com/dlvhdr/diffnav
Upright is a self-hosted synthetic monitoring system. It provides a framework for running health check probes from multiple geographic sites and reporting metrics via Prometheus. Alerts can then be configured with AlertManager.https://github.com/basecamp/upright
This guide covers enabling GPU-accelerated headless Chromium on EKS by wiring host drivers and handling virtual GPU constraints.https://medium.com/@misterdev/gpu-accelerated-headless-chromium-on-kubernetes-a-practical-guide-b4171c72e87e
The article shows how to identify insecure RBAC, secret leakage, and risky Helm template behavior using Trivy, GitHub search, and OPA.https://allthingsopen.org/articles/detecting-vulnerabilities-public-helm-charts
This guide walks through deploying micro frontends on Kubernetes with ingress routing and CI/CD patterns for team-isolated delivery.https://medium.com/@tamer-abdulghani/building-production-ready-micro-frontends-in-kubernetes-a-pragmatic-approach-708134467b02
Codefresh explains a custom Kubernetes scheduler and ballast pods strategy to pack CI workloads and reduce build-start delays.https://codefresh.io/blog/custom-k8s-scheduler-continuous-integration
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