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DevOps&SRE Library

DevOps&SRE Library

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Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3

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📈 Analytical overview of Telegram channel DevOps&SRE Library

Channel DevOps&SRE Library (@devopslibrary) in the English language segment is an active participant. Currently, the community unites 19 385 subscribers, ranking 6 952 in the Technologies & Applications category and 34 902 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 385 subscribers.

According to the latest data from 10 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 154 over the last 30 days and by 7 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 15.22%. Within the first 24 hours after publication, content typically collects 7.12% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 949 views. Within the first day, a publication typically gains 1 380 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
  • Thematic interests: Content is focused on key topics such as kubernete, cluster, infrastructure, storage, configuration.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3

Thanks to the high frequency of updates (latest data received on 11 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

19 385
Subscribers
+724 hours
+67 days
+15430 days
Posts Archive
Upgrade AWS CSI Drivers in your Multi-Tenant Kubernetes Cluster
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
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

ing-switch: Migrate from Ingress NGINX to Traefik or Gateway API in Minutes, Not Days
Migrate Kubernetes Ingress NGINX to Traefik or Gateway API — CLI + web UI
https://blog.kubesimplify.com/ing-switch-migrate-from-ingress-nginx-to-traefik-or-gateway-api-in-minutes-not-days

Spegel for p2p docker registries in k3s https://ellie.wtf/notes/spegel

Before You Migrate: Five Surprising Ingress-NGINX Behaviors You Need to Know
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

Инфраструктура современного сервиса — это не только код, но и стабильность его работы под нагрузкой. Если вы отвечаете за Dev
Инфраструктура современного сервиса — это не только код, но и стабильность его работы под нагрузкой. Если вы отвечаете за DevOps-процессы или эксплуатацию распределенных систем, стоит посмотреть на новую observability-платформу от Yandex B2B Tech. Monium — это инструмент для мониторинга состояния ИТ-систем, анализа телеметрии в реальном времени и быстрого поиска причин инцидентов. Платформа объединяет метрики, логи и трейсы в одном интерфейсе, поддерживает Prometheus и OpenTelemetry, а также рассчитана на highload-нагрузки уровня enterprise. Исторически решение было разработано командой Yandex Infrastructure для мониторинга критических сервисов внутри Яндекса, а сейчас оно уже доступно всем пользователям и подходит для работы с облачными и on-prem инфраструктурами. Среди сценариев использования — мониторинг приложений, сервисов и цифровых продуктов с гибкой настройкой алертинга и эскалаций. Если вы хотите сократить время реакции на инциденты и получить более полную картину состояния системы — подробнее о платформе можно узнать по ссылке.

Wozz: Kubernetes Cost Tool
Wozz is a Kubernetes cost optimization tool that catches expensive resource changes before they merge.
https://github.com/WozzHQ/wozz

How We Shrunk a Kubernetes Sidecar from 421MB to 90MB (With No OS Inside)
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

Harness engineering: leveraging Codex in an agent-first world https://openai.com/index/harness-engineering
Harness engineering: leveraging Codex in an agent-first world https://openai.com/index/harness-engineering

How I think about Kubernetes
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
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
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

diffnav
A git diff pager based on delta but with a file tree, à la GitHub.
https://github.com/dlvhdr/diffnav

upright
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

GPU-accelerated headless Chromium on Kubernetes: a practical guide
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

Detecting vulnerabilities in public Helm charts
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

Building Production-Ready Micro Frontends in Kubernetes: A Pragmatic Approach
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

How we replaced the default Kubernetes scheduler to optimize our continuous integration builds
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