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 19 438 subscribers, ranking 6 835 in the Technologies & Applications category and 34 358 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 438 subscribers.
According to the latest data from 05 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 67 over the last 30 days and by 5 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 13.00%. Within the first 24 hours after publication, content typically collects 7.32% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 526 views. Within the first day, a publication typically gains 1 423 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 06 July, 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.
A service health dashboard in Go that is meant to be used as a docker image with a custom configuration file.https://github.com/TwinProduction/gatus
Karpenter is a metrics-driven autoscaler built for Kubernetes and can run in any Kubernetes cluster anywhere. It's performant, extensible, and can autoscale anything that implements the Kubernetes scale subresource.https://github.com/awslabs/karpenter
- Don’t assign blame - Do take responsibility - Don’t procrastinate - Do gather information - Don’t be vague - Do define clear owners - Don’t lose focus - Do use a consistent templatehttps://victorops.com/blog/8-tips-to-create-an-accurate-and-helpful-post-mortem-incident-report
The example case is simple: Deploy a minimal REST API and evolve its code from the easiest (read: ugliest) to the what we think is production ready.https://medium.com/last9/infrastructure-as-code-as-software-a5e4b2b93e8e
k6 is a modern load testing tool, building on Load Impact's years of experience in the load and performance testing industry. It provides a clean, approachable scripting API, local and cloud execution, and flexible configuration.https://github.com/loadimpact/k6
An open-source guide to help you write better command-line programs, taking traditional UNIX principles and updating them for the modern day.
https://clig.devWith all the news coming out of GitHub Universe today we wanted to give you a quick summary of all the announcements and timelines for the features being shown off this week.
https://github.blog/2020-12-08-new-from-universe-2020-dark-mode-github-sponsors-for-companies-and-moreWe prepared a dataset from the GH Archive that contains all the events in all GitHub repositories since 2011 in structured format. The dataset was uploaded into ClickHouse, where it contains 3.1 billion records. We redistribute it for research purposes and it can be downloaded at this direct link. This dataset can help answer almost any question about GitHub that you can imagine. This article shows the usage of the dataset and offers insights into the GitHub ecosystem. It emphasizes how easy it is to play with data using modern tools.https://gh.clickhouse.tech/explorer/
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