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 19 758 subscribers, ranking 6 527 in the Technologies & Applications category and 33 399 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 758 subscribers.
According to the latest data from 27 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 137 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 14.01%. Within the first 24 hours after publication, content typically collects 7.00% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 768 views. Within the first day, a publication typically gains 1 382 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
- 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 28 August, 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.
When working on code with GenAI assistance you need a better understanding of the system than when working without.https://www.spinellis.gr/blog/20260523
When thinking about Service Level Objectives (SLOs) and contractual Service Level Agreements (SLAs) for availability, I always like to put the percentages into concrete numbers.https://incident.io/blog/humans-arent-fast-enough-for-4-nines
Benchmarking is hard. There are many ways to do it wrong and few to do it right. But zooming out from any single system or harness, there are broad principles that should be applied to all benchmarking. Using these correctly makes it difficult to produce biased results. Am I the world's best benchmarker? Certainly not. I invented the language balls, after all. But correctness and precision are important parts of PlanetScale's culture. We've spent considerable time learning the art of benchmarking, and are here to share best-practices. Here, we're focusing primarily on benchmarking databases, but these principles apply to many domains.https://planetscale.com/blog/on-benchmarking
AI tools have genuinely changed how fast teams can produce code, but they haven't changed how fast a codebase can safely absorb that code.https://stackoverflow.blog/2026/05/12/you-shipped-it-fast-but-did-you-ship-it-right
The real learning comes from analyzing the incident while writing the document, not reading it; the document at the end is the residue of the learning.https://greatcircle.com/blog/2026/05/05/problem-with-ai-generated-post-incident-reviews
A single front door for all your AI agents and MCPshttps://github.com/dfradehubs/agentgram
SlimFaas is a lightweight, plug-and-play Function-as-a-Service (FaaS) platform for Kubernetes (and Docker-Compose / Podman-Compose).https://github.com/SlimPlanet/SlimFaas
How I turned four Proxmox nodes, some enterprise surplus drives, and an afternoon into a fully automated HA k3s cluster with Rancher, Traefik, and Ansible — all running on hardware that draws less power than a gaming PC.https://thiago-marsal.medium.com/homelab-k3s-ha-cluster-a-complete-architecture-guide-6a60005b6e99
This post focuses on three areas that separate a demo from production systems: backups, recovery and connection pooling.https://dylanmarkdacosta.medium.com/designing-for-failure-with-cloudnativepg-2c3987605a39
Workflow DevKit lets you write durable, long-running workflows directly in your Next.js and Node.js apps. You define steps with ’use step’, and the SDK handles persistence, retries, and replay automatically. Workflows survive server restarts, can sleep for days, and resume exactly where they left off. On Vercel, all of this works out of the box — the platform handles deployment versioning and queue routing behind the scenes. But what happens when you deploy to your own Kubernetes cluster? Version mismatch. And it’s subtle enough to corrupt data before you notice. We built Platformatic World to fix this. It’s a drop-in World implementation that brings the same deployment safety to any Kubernetes cluster. Every workflow run is pinned to the code version that created it. Queue messages are routed to the correct versioned pods. Old versions stay alive until all their in-flight runs are complete.https://blog.platformatic.dev/durable-workflows-kubernetes-version-safe
When we set out to build the Logins page for AuditRadar — a real-time audit log explorer for OpenShift and Kubernetes — we hit a wall that forced us to deeply understand how authentication actually works on each platform.https://blog.audit-radar.com/why-kubernetes-has-no-login-and-how-we-solved-it-for-auditradar
Every time we restarted Atlantis, the tool we use to plan and apply Terraform changes, we’d be stuck for 30 minutes waiting for it to come back up.https://blog.cloudflare.com/one-line-kubernetes-fix-saved-600-hours-a-year
A practitioner's account of the errors the KServe getting-started documentation doesn't tell you about — with exact terminal output, root causes, and working Kustomize patches.https://sodiq-jimoh.hashnode.dev/why-your-kserve-inferenceservice-won-t-become-ready-four-production-failures-and-fixes
Railway experienced a platform-wide service disruption due to Google Cloud incorrectly placing our account in a suspended status.https://blog.railway.com/p/incident-report-may-19-2026-gcp-account-outage
As part of a routine infrastructure change, a configuration update accidentally caused a large portion of Discord's session management servers to shut down simultaneously.https://discord.com/blog/behind-the-scenes-of-the-3-25-26-voice-outage
GitHub's reliability has been beyond unacceptable recently: last month, third party measurements pinned it at one nine (right at 90%).https://blog.pragmaticengineer.com/the-pulse-ai-load-breaks-github
