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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 19 865 subscribers, ranking 6 619 in the Technologies & Applications category and 33 096 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 865 subscribers.

According to the latest data from 31 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -16 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 13.29%. Within the first 24 hours after publication, content typically collects 6.74% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 641 views. Within the first day, a publication typically gains 1 339 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 01 November, 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.

19 865
Subscribers
-224 hours
-257 days
-1630 days
Posts Archive
Load Testing with Impulse at Airbnb
Comprehensive Load Testing with Load Generator, Dependency Mocker, Traffic Collector, and More
https://medium.com/airbnb-engineering/load-testing-with-impulse-at-airbnb-f466874d03d2

Understanding the Circuit Breaker: A Key Design Pattern for Resilient Systems
The Circuit Breaker Pattern is a key design pattern for building resilient systems by preventing cascading failures and ensuring graceful degradation.
https://dzone.com/articles/circuit-breaker-pattern-resilient-systems

kpatch
kpatch is a Linux dynamic kernel patching infrastructure which allows you to patch a running kernel without rebooting or restarting any processes. It enables sysadmins to apply critical security patches to the kernel immediately, without having to wait for long-running tasks to complete, for users to log off, or for scheduled reboot windows. It gives more control over uptime without sacrificing security or stability.
https://github.com/dynup/kpatch

Why Every Platform Engineer Should Care About Kubernetes Operators https://www.pulumi.com/blog/why-every-platform-engineer-should-care-about-kubernetes-operators

Can Configuration Languages (config DSLs) solve configuration complexity? https://itnext.io/can-configuration-languages-dsls-solve-configuration-complexity-eee8f124e13a

Operational Considerations for Managing Stateful Workloads
When managing stateful workloads, whether in Kubernetes or traditional infrastructure, operational concerns like isolation, lifecycle management, security, disaster recovery, scalability, and observability take center stage. While the examples focus on AWS, PostgreSQL, and Kubernetes, the principles and best practices discussed here are broadly applicable to any environment. This article approaches these topics from an operations perspective, prioritizing reliability, maintainability, and resilience. The goal is not just to run a database, but to ensure it operates efficiently, scales properly, and remains secure in real-world conditions. We’ll explore key aspects of running stateful workloads, from managing failure domains to ensuring observability, and how these impact both operations teams and developers. Whether you’re running a database in a cloud-native setup or on bare metal, these strategies will help you build a robust, well-managed system.
https://dev.to/pampatzoglou/operational-considerations-for-managing-stateful-workloads-20c3

FacetController: How we made infrastructure changes at Lyft simple https://eng.lyft.com/facetcontroller-how-we-made-infrastructure-changes-at-lyft-simple-dab49f5b27c7

Why Our Pods Were Breaking Bad (and How We Fixed Them)
In this article, we’ll walk through the process of diagnosing a memory leak, analyzing the root cause, and implementing effective solutions to mitigate its impact. We’ll explore practical steps that any application, regardless of the underlying stack or architecture, can follow to troubleshoot and optimize performance.
https://kshitij-nawandar.medium.com/why-our-pods-were-breaking-bad-and-how-we-fixed-them-b3c3e9e8003b

canine
Canine is an easy to use intuitive deployment platform for Kubernetes clusters.
https://github.com/czhu12/canine

lstr
A blazingly fast, minimalist directory tree viewer, written in Rust. Inspired by the command line program tree, with a powerful interactive mode.
https://github.com/bgreenwell/lstr

Staying on Nix
I have been using Nix regularly since roughly 2019, when I set up my primary build server to use Nix to manage the various toolchains, though it wasn't until 2022 that I really invested heavily, and I'm now using Nix in combination with other more traditional DevOps tools to provision and manage more than 10 physical machines and 50 VMs in my homelab.
https://pid1.sh/blog/staying-on-nix

Moving on from Nix
After using nix in my dotfiles for over 2 years, I’m now moving away from it. Here’s why.
https://carlosbecker.com/posts/bye-nix

pgrwl
pgrwl is a PostgreSQL write-ahead log (WAL) receiver written in Go. It’s a drop-in, container-friendly alternative to pg_receivewal, supporting streaming replication, encryption, compression, and remote storage (S3, SFTP). Designed for disaster recovery and PITR (Point-in-Time Recovery), pgrwl ensures zero data loss (RPO=0) and seamless integration with Kubernetes environments.
https://github.com/hashmap-kz/pgrwl