DevOps&SRE Library
前往频道在 Telegram
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
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📈 Telegram 频道 DevOps&SRE Library 的分析概览
频道 DevOps&SRE Library (@devopslibrary) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 19 858 名订阅者，在 技术与应用 类别中位列第 6 626，并在 俄罗斯 地区排名第 33 031 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 19 858 名订阅者。
根据 14 十一月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 -36，过去 24 小时变化为 0，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 12.88%。内容发布后 24 小时内通常能获得 6.37% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 2 557 次浏览，首日通常累积 1 265 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 0。
- 主题关注点： 内容集中在 kubernete, cluster, infrastructure, storage, configuration 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
凭借高频更新（最新数据采集于 15 十一月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。
19 858
订阅者
无数据24 小时
-167 天
-3630 天
正在加载数据
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| 日期 | 订阅者增长 | 提及 | 频道 | |
| 15 十一月 | 0 | |||
| 14 十一月 | +2 | |||
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| 12 十一月 | +8 | |||
| 11 十一月 | +3 | |||
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| 05 十一月 | +14 | |||
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| 02 十一月 | +4 | |||
| 01 十一月 | +2 |
频道帖子
Stop paging on how your machines feel
Many companies are frustrated that too many of their outages are detected first by customers, rather than by their own monitoring. They create more alerts, but it doesn't seem to help. Often, the problem is that they're still focusing on how their machines are performing, not what their users are experiencing.https://greatcircle.com/blog/2026/10/06/page-on-user-experience
| 2 | Beyond synthetic testing: Capturing and replaying real database workloads at Airbnb
How we capture real production database traffic at Airbnb and replay it offline to load-test, plan capacity, and de-risk upgrades.
https://medium.com/airbnb-engineering/beyond-synthetic-testing-capturing-and-replaying-real-database-workloads-at-airbnb-cea7ee9b1ab2 | 1 074 |
| 3 | Key Autoscaling Metric #2 - Mean Time to Stop Sucking
Specifically, how can your autoscaling behaviour impact the actual end-user experience for your application? We're going to do this via a metric that nobody's ever heard of before, called "Mean Time to Stop Sucking" (MTSS).
https://blog.appliedcomputing.io/p/key-autoscaling-metric-2-mean-time | 1 233 |
| 4 | Jev-Driven SRE Diagnosis: What Worked and What Failed
In this post, we present a Jev-driven diagnosis pipeline without any LLM agent. The pipeline programmatically collects and organizes cluster evidence, then feeds it to Jev. Jev selects a likely root cause and supporting observations, and the pipeline uses them to assemble a diagnosis report.
https://www.sregym.com/blog/jev-driven-sre-diagnosis | 1 489 |
| 5 | omnidiff
Fast, robust, accurate content-aware diffing.
https://github.com/ivankovic/omnidiff | 1 616 |
| 6 | Under the hood, off the hot path: How D1 scales to millions of databases
The question becomes: how do you scale the control plane for millions of databases without making every query slower by sending it through centralized bottlenecks? This post is a behind-the-scenes deep dive into how the D1 control plane works.
https://blog.cloudflare.com/d1-control-plane | 1 705 |
| 7 | Backstage #2: Nobody Maintains a Catalog for SRE
The first article ended on the catch: a service catalog is only as good as its data, and the people who want it most — SREs — aren't the people who can keep it accurate. The engineering teams are. This one is about that part.
https://billduncan.org/backstage-2 | 1 762 |
| 8 | Backstage #1: Who Owns This? Why SREs Want a Service Catalog
This is the first of a short series on Backstage: why SREs want a service catalog, how we got engineering teams to actually keep one current, and how it was built. This one is about the why.
https://billduncan.org/backstage-1 | 1 889 |
| 9 |  Как пустить LLM в прод и не сжечь все токены? 🤖
26 ноября Orion soft и Онтико проводят DevOps Lounge — бесплатный митап про AI в проде и в задачах DevOps-инженеров.
— Orion soft: AI Gateway в Nova AI. Единая точка входа к моделям: RBAC, квоты и лимиты токенов, трейсинг, умная балансировка и фейловер. Плюс guardrails поверх гейтвея: фильтрация PII и неэтичного контента;
— VK Tech: от локального харнесса с Codex и Claude к мультиплееру. Агент подписан на события команды, сидит в Jira и мессенджере, делает ревью и катит на стейдж после апрува тимлида.
📍 26 ноября, 18:30–22:00 · Москва + онлайн
После докладов — ужин, нетворкинг и шоу-игра.
🔓 Участие бесплатное, нужна регистрация.
Зарегистрироваться бесплатно 👈
Реклама. ООО "Конференции Олега Бунина", ИНН: 7733863233, erid: 2VtzqunvVsC | 1 983 |
| 10 | Kubey
Kubey is a web-based Kubernetes dashboard that gives your entire team visibility into your infrastructure—without requiring everyone to configure kubectl, manage kubeconfigs, or learn CLI commands.
https://github.com/justinbehncodes/kubey | 1 807 |
| 11 | VictoriaStack
You can deploy VictoriaStack as binaries on bare metal, as docker containers, or in Kubernetes via Helm charts and the operator.
https://docs.victoriametrics.com/victoriastack/quick-start | 1 951 |
| 12 | wellcake
A Kubernetes operator for Valkey. It manages Valkey across four topologies — Standalone, Replication, Sentinel, and Cluster — with operator-driven failover, proactive zero-downtime rolling restarts, cluster bootstrap/scale/reshard, S3 backups, multi-region replication, and no-restart secret rotation.
https://github.com/melancholictheory/wellcake | 1 924 |
| 13 |  Как доставлять приложение в продакшен без ручных операций и зависимости от внешних сервисов?
На открытом уроке покажем связку GitLab CI и Argo CD внутри Kubernetes-кластера: от сборки и тестирования кода до автоматической доставки приложения.
За 90 минут соберём работающий конвейер и разберём, как настроить автономный процесс CI/CD внутри собственной инфраструктуры.
Урок проходит в преддверии старта курса «Инфраструктурная платформа на основе Kubernetes» 16 ноября в 20:00 МСК. Все участники получат скидку на обучение. Принять участие: https://vk.cc/d3Jopg
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, www.otus.ru, erid: 2VtzqwZgASa | 2 146 |
| 14 | KICS
Find security vulnerabilities, compliance issues, and infrastructure misconfigurations early in the development cycle of your infrastructure-as-code with KICS by Checkmarx. KICS stands for Keeping Infrastructure as Code Secure, it is open source and is a must-have for any cloud native project.
https://github.com/Checkmarx/kics | 2 003 |
| 15 | Multi-VLAN MetalLB on OpenShift4 Without BGP
How to make MetalLB’s Layer 2 mode work across multiple VLANs on bare-metal and virtualized OpenShift 4.x workers without touching a single BGP session.
https://medium.com/@salehmiri90/multiple-vlan-metallb-on-openshift4-without-bgp-82f243cb2d2e | 2 236 |
| 16 | An eBPF Loophole: Using XDP for Egress Traffic
XDP (eXpress Data Path) is the fastest packet processing framework in linux - but it only works for incoming (ingress) traffic. We discovered how to use it for outgoing (egress) traffic by exploiting a loophole in how the linux kernel determines packet direction.
https://loopholelabs.io/blog/xdp-for-egress-traffic | 2 333 |
| 17 | How We Built Production-Like Staging Environments on Kubernetes for Every Feature Branch
A practical way to give every feature branch its own production-like environment without multiplying infrastructure complexity.
https://medium.com/@danielerota/how-we-built-production-like-staging-environments-on-kubernetes-for-every-feature-branch-11cfb285d76b | 2 335 |
| 18 | How We Built Production-Like Staging Environments on Kubernetes for Every Feature Branch
A practical way to give every feature branch its own production-like environment without multiplying infrastructure complexity.
https://medium.com/@danielerota/how-we-built-production-like-staging-environments-on-kubernetes-for-every-feature-branch-11cfb285d76b | 2 375 |
| 19 | We Scaled an Insurance Batch Job 4000x — Here’s Every Bottleneck We Hit
Our insurance platform was tested with 50 insured objects maximum and that also took around 10 minutes for the end to end policy creation. And this happened via an asynchronous batch job which started after the user uploaded a csv file with the input data. And our goal was to do it for 100k insured objects in 20 minutes max.
https://medium.com/@anandasishmishra/how-we-scaled-our-insurance-system-from-50-insured-objects-per-policy-to-200k-insured-objects-222195c7e8e7 | 2 371 |
| 20 | Client-Side Load Balancing at a Million Requests Per Second
How we built an in-process client-side load balancer for a million requests per second of internal fan-out traffic, what we layered on top (N-ring fade-in, occupancy-based bounded load, and AZ-aware routing with a latency health factor), and how hardening that path cut cost and made the service resilient to the infrastructure underneath it.
https://engineering.zalando.com/posts/2026/06/client-side-load-balancing.html | 2 351 |
