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 19 414 subscribers, ranking 6 946 in the Technologies & Applications category and 34 835 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 414 subscribers.
According to the latest data from 12 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 166 over the last 30 days and by 13 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 14.98%. Within the first 24 hours after publication, content typically collects 7.10% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 908 views. Within the first day, a publication typically gains 1 377 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 13 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.
At the PGConf.dev 2025 Global Developer Conference, Bohan Zhang from OpenAI shared OpenAI’s best practices with PostgreSQL, offering a glimpse into the database usage of one of the most prominent unicorn company.https://www.pixelstech.net/article/1747708863-openai%3a-scaling-postgresql-to-the-next-level
A short list of common mistakes.https://wiki.postgresql.org/wiki/Don%27t_Do_This
There is a set of things that you can do when working with a Postgres database which I have found made my and my coworker's lives much more pleasant. Each one is by itself small, but in aggregate have a noticeable effect.https://mccue.dev/pages/3-11-25-life-altering-postgresql-patterns
The ClickPipes team had encountered a bug with logical replication slot creation on Postgres read replicas—specifically, an issue where a query that was already taking hours rather than the few seconds it usually took couldn’t be terminated by any of the usual methods in Postgres, causing customer frustration and risking the stability of production databases. In this blog post, I’ll walk through how I investigated the problem and ultimately discovered it was due to a Postgres bug. We’ll also share how we fixed it and our experience working with the Postgres community.https://clickhouse.com/blog/sigterm-postgres-mystery
Generate Terraform moved blocks automatically for painless refactoringhttps://github.com/busser/tfautomv
Demystifying the most common misconception in Service Level jargonhttps://blog.alexewerlof.com/p/sla-vs-slo
ktea is a tool designed to simplify and accelerate interactions with Kafka clusters.https://github.com/jonas-grgt/ktea
AI coding agent, built for the terminal.https://github.com/sst/opencode
At my current employer, we use Kubernetes to run hundreds of thousands of bare metal servers, spread over hundreds of Kubernetes clusters. We use Kubernetes beyond officially supported/tested scale limits by running more than 5,000 nodes and over a hundred thousand of pods in a single cluster.1 In these large scale setups, expensive “list” calls on the Kubernetes API are the achilles heel of the control plane reliability and scalability. In this article, I’ll explain which list call patterns pose the most risk, and how recent and upcoming Kubernetes versions are improving the list API performance.https://ahmet.im/blog/kubernetes-list-performance
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