DevOps&SRE Library
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
Show more📈 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 19 876 subscribers, ranking 6 610 in the Technologies & Applications category and 33 156 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 876 subscribers.
According to the latest data from 28 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 1 over the last 30 days and by -8 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 13.25%. Within the first 24 hours after publication, content typically collects 6.75% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 633 views. Within the first day, a publication typically gains 1 341 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
- 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 29 October, 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.
This interview compares the cost and operational tradeoffs of moving a Kubernetes workload from GKE Autopilot to Hetzner with Edka.https://kube.fm/migrating-kubernetes-off-big-cloud-fernando
Микросервисное приложение мало просто задеплоить — нужны правила запуска, обновлений, масштабирования и изоляции. Именно они делают эксплуатацию предсказуемой, а инфраструктуру — готовой к росту нагрузки.На вебинаре 26 марта в 11:00 эксперты Cloud.ru разберут, как превратить Managed Kubernetes в удобную и надежную платформу для работы микросервисов. В программе:
1⃣ разберете, в каких проектах микросервисы действительно нужны и как быстро запустить готовое масштабируемое решение в облаке без лишних сложностей; 2⃣ рассмотрите базовую структуру Kubernetes для микросервисов: что потребуется сразу, а что можно отложить; 3⃣обсудите, как организовать деплой, обновления и откаты, чтобы релизы были управляемыми; 4⃣ настроите масштабирование с помощью нативных инструментов Kubernetes; 5⃣ свяжете платформу с реестром артефактов; 6⃣ узнаете, как следить за метриками и логами приложения.👉Зарегистрироваться👈
This tutorial shows how to deploy NGINX Gateway Fabric on GKE with Terraform, split traffic paths, and automate TLS certificates.https://medium.com/@henrikamirbekyan/gateway-api-setup-on-gke-with-nginx-gateway-fabric-1b0d0ec3bbf3
This tutorial shows how to migrate PostgreSQL to CloudNativePG on Kubernetes with logical replication and no downtime.https://kndoni.medium.com/postgresql-migration-with-cloudnativepg-logical-replication-on-kubernetes-zero-downtime-aef1c33a3a53
This tutorial walks through building a Go game server with Agones, matchmaking, Fleet allocation, and autoscaling on Kubernetes.https://noe-t.dev/posts/making-and-scaling-a-game-server-in-k8s-using-agones
At VictoriaMetrics, we built vlagent as a high-performance log collector for VictoriaLogs. To validate its performance and correctness under a real production-like load, we developed a benchmark suite and ran it against 8 popular log collectors. This post covers the methodology, throughput results, resource usage, and delivery correctness.https://victoriametrics.com/blog/log-collectors-benchmark-2026/index.html
This article covers rebuilding a Kubernetes platform for GPU workloads to reach 99.9% uptime after operational instability.https://medium.com/@mateenali66/from-chaos-to-99-9-uptime-rebuilding-a-kubernetes-platform-for-gpu-workloads-4fadb1067a0b
This article distills incident-driven lessons on troubleshooting, configuration mistakes, and operational habits that make Kubernetes outages worse.https://hackernoon.com/hidden-kubernetes-bad-practices-learned-the-hard-way-during-incidents
This case study explains how JVM tuning, a smaller Hikari pool, and faster HPA scale-up doubled traffic capacity while reducing baseline pods.https://medium.com/@feridquluzade2002/we-cut-our-kubernetes-pods-by-60-and-doubled-traffic-capacity-b1cfb6850fca
Security-focused extension project for strengthening Kubernetes environments.https://github.com/guardon-dev/guardon
Tooling aimed at simplifying local Kubernetes development environments.https://github.com/torloejborg/easykube
Enterprise-oriented platform for serving and operating LLM workloads on Kubernetes.https://github.com/volcano-sh/kthena
Project targeting high-performance large language model inference workloads.https://github.com/llm-d/llm-d
Agent project focused on improving Kubernetes configuration hygiene and reducing misconfiguration risk.https://github.com/topiaruss/kogaro
Open-source kubectl plugin for collecting a structured cluster snapshot for debugging and analysis.https://github.com/crust-gather/crust-gather
