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 19 395 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 19 395 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.
From DEFLATE dependency chains to FUSE mounts: how few competing approaches make container layers randomly accessible, and what they all require you to change on every node.https://blog.zmalik.dev/p/lazy-pulling-container-images-a-deep
A Kubernetes operator for deploying and managing blockchain full nodes. Supports 102 chains with built-in health monitoring, snapshot bootstrapping, and automatic recovery.https://github.com/tazhate/chainplane
Теперь ИИ-помощник в облаке может создавать несколько виртуальных машин, а после управлять ими по команде. Например, добавлять или удалять диски, менять конфигурации и выполнять другие повседневные операции.2⃣ Три новых сценария
▶
DevOps-агент
— может разворачивать и обслуживать PostgreSQL, Kafka, WordPress, GitLab и другие популярные сервисы по текстовому промпту.
▶
SRE-агент
— настраивает мониторинг, алертинг и помогает разбирать инциденты.
▶
FinOps-агент
— находит забытые или неиспользуемые ВМ и предлагает их удалить, чтобы исключить бессмысленные траты. А еще может показать топ дорогих ресурсов, позволяя сравнивать траты за разные периоды.👉 Попробовать
Chapter 1: A networking storyhttps://substack.com/home/post/p-188586336
PgQue brings back PgQ — one of the longest-running Postgres queue architectures in production — in a form that runs on any Postgres platform, managed providers included. PgQ was designed at Skype to run messaging for hundreds of millions of users, and it ran on large self-managed Postgres deployments for over a decade. Standard PgQ depends on a C extension (pgq) and an external daemon (pgqd), neither of which run on most managed Postgres providers. PgQue rebuilds that battle-tested engine in pure PL/pgSQL, so the zero-bloat queue pattern works anywhere you can run SQL — without adding another distributed system to your stack. The anti-extension. Pure SQL + PL/pgSQL on any Postgres 14+ — including RDS, Aurora, Cloud SQL, AlloyDB, Supabase, Neon, and most other managed providers. No C extension, no shared_preload_libraries, no provider approval, no restart.https://github.com/NikolayS/pgque
The most dangerous thing I’ve seen in engineering isn’t a failed system. It’s a team that thinks their system can’t fail. It’s not just about adding and adapting tooling. The leader who believes a new $30pp automation tool will resolve deep systemic issues is overlooking the most valuable resource already sitting inside their organisation: their people. At Uptime Labs, we come back to the same principle repeatedly – the true source of resilience is people. Not because it’s a neat slogan, but because the evidence keeps pointing there. Below are five reasons why resilience can’t be automated away from people entirely – hope you enjoy.https://uptimelabs.io/articles/5-ways-that-resilience-cant-be-automated
How a complex, large-scale migration to an in-house observability platform led to superior tooling, consistent data, and a fundamental reset of the developer experience.https://medium.com/airbnb-engineering/from-vendors-to-vanguard-airbnbs-hard-won-lessons-in-observability-ownership-3811bf6c1ac3
Imagine this — you click play on Netflix on a Friday night and behind the scenes hundreds of containers spring to action in a few seconds to answer your call. At Netflix, scaling containers efficiently is critical to delivering a seamless streaming experience to millions of members worldwide. To keep up with responsiveness at this scale, we modernized our container runtime, only to hit a surprising bottleneck: the CPU architecture itself. Let us walk you through the story of how we diagnosed the problem and what we learned about scaling containers at the hardware level.https://netflixtechblog.com/mount-mayhem-at-netflix-scaling-containers-on-modern-cpus-f3b09b68beac
A lightweight AWS service emulator written in Go. Works as both a CI/CD testing tool and a local development server with optional data persistence.https://github.com/sivchari/kumo
Every time an application on your computer opens a network connection, it does so quietly, without asking. Little Snitch for Linux makes that activity visible and gives you the option to do something about it. You can see exactly which applications are talking to which servers, block the ones you didn't invite, and keep an eye on traffic history and data volumes over time.https://obdev.at/products/littlesnitch-linux/index.html
After nearly a decade of development, over 900 releases, and tens of millions of infrastructure deployments by platform teams, today we're happy to announce that Terragrunt 1.0 is officially here.https://www.gruntwork.io/blog/terragrunt-1-0-released
Versity Gateway, a simple to use tool for seamless inline translation between AWS S3 object commands and storage systems. The Versity Gateway bridges the gap between S3-reliant applications and other storage systems, enabling enhanced compatibility and integration while offering exceptional scalability.https://github.com/versity/versitygw
Cardamon is a metric auditor for Prometheus. It identifies metrics that exist in your TSDB but are never actually queried by dashboards, alerting rules, recording rules, or any other consumer. You can then generate Prometheus drop rules to remove them and reduce storage need.https://github.com/dominikhei/cardamon
Log analytics in a single binary. No dependencies. Lynx Flow query language.https://github.com/lynxbase/lynxdb
Traceway is a self-hosted observability platform that ingests OpenTelemetry traces and metrics, groups exceptions automatically, and gives you endpoint performance, distributed tracing, and alerts — all in a single binary. No OTel Collector or separate time-series database required.https://github.com/tracewayapp/traceway
As part of an ongoing series, the Developer Experience SIG interviews organizations about their real-world OpenTelemetry Collector deployments to share practical lessons with the broader community. This post features Adobe, a global software company whose observability team has built an OpenTelemetry-based telemetry pipeline designed for simplicity at massive scale, with thousands of collectors running per signal type across the company’s infrastructure.https://opentelemetry.io/blog/2026/devex-adobe
Exports helm release, chart, and version statistics in the prometheus format.https://github.com/sstarcher/helm-exporter
Available now! Telegram Research 2025 — the year's key insights 
