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 19 769 subscribers, ranking 6 510 in the Technologies & Applications category and 33 301 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 769 subscribers.
According to the latest data from 31 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 143 over the last 30 days and by 10 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 13.72%. Within the first 24 hours after publication, content typically collects 6.94% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 713 views. Within the first day, a publication typically gains 1 371 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 September, 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.
The Infrastructure team at Hugging Face is excited to share a behind-the-scenes look at the inner workings of Hugging Face's production infrastructure, which we’ve had the privilege of helping to build and maintain. Our team's dedication to designing and implementing a robust monitoring and alerting system has been instrumental in ensuring the stability and scalability of our platforms. We’re constantly reminded of the impact that our alerts have on our ability to identify and respond to potential issues before they become major incidents. In this blog post, we’ll dive into the details of three mighty alerts that play their unique role in supporting our production infrastructure, and explore how they've helped us maintain the high level of performance and uptime that our community relies on.https://huggingface.co/blog/infrastructure-alerting
Fourteen years ago, Dropbox took its first steps toward building its own hardware infrastructure—and as our product and user base has grown, so has our infrastructure. What started with just a handful of servers has evolved into one of the largest custom-built storage systems in the world. We've scaled from a few dozen machines to tens of thousands of servers with millions of drives. That evolution didn’t happen by accident. It took years of iteration, close collaboration with suppliers, and a product-first mindset that treated infrastructure as a strategic advantage. Now we’re excited to share what’s next: the launch of our seventh-generation hardware platform, now featuring Crush, Dexter, and Sonic for our traditional compute, database, and storage workloads, and our newest GPU tiers, Gumby and Godzilla. To make this leap possible, we dramatically increased storage bandwidth, effectively doubled our available rack power, and introduced a next-gen storage chassis designed to even further minimize vibration and heat. This generation represents our most efficient, capable, and scalable architecture yet—and it’ll help us as we continue to build and scale helpful AI products like Dropbox Dash. Below, we’ll walk you through how we designed the latest version of our server hardware as well as key lessons we’ll carry into generations to come.https://dropbox.tech/infrastructure/seventh-generation-server-hardware
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
