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 19 413 subscribers, ranking 6 932 in the Technologies & Applications category and 34 727 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 413 subscribers.
According to the latest data from 19 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 123 over the last 30 days and by -3 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 14.85%. Within the first 24 hours after publication, content typically collects 7.26% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 883 views. Within the first day, a publication typically gains 1 409 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 20 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.
Turn a fresh Ubuntu installation into a fully-configured, beautiful, and modern web development system by running a single command.https://omakub.org
Maximize GPU utilization and reduce infrastructure costs.https://towardsdatascience.com/dynamic-mig-partitioning-in-kubernetes-89db6cdde7a3
Tableau announced that you can run their server on Kubernetes back in 2021. Now that it’s been a few years, let’s take a look and see how it is to setup.https://medium.com/@almenon214/tableau-on-kubernetes-how-not-to-design-a-kubernetes-offering-b18decf30c18
Pipedrive Infra operates self-managed Kubernetes clusters in different clouds, mainly AWS and on-premise OpenStack. At the time of writing, we manage over 20 different clusters — more and less specific, big and small.https://medium.com/pipedrive-engineering/solving-the-mystery-of-pods-health-checks-failures-in-kubernetes-55b375493d03
This guide presents a simple and developer-friendly GitOps-based CI/CD pipeline built on GitHub Actions, designed for SOC 2 compliance. Having successfully implemented this approach numerous times, I'm sharing an illustrative version for reference. You can explore a working implementation on your own on GitHub (https://github.com/cicd-excellence), or continue reading for a step-by-step breakdown.https://mathieularose.com/gitops-cicd-github-actions
List of free Trials/Credit for Managed Kubernetes Serviceshttps://github.com/learnk8s/free-kubernetes
Distributed systems are often described as a double-edged sword. There is plenty of excellent content out there written on both why they suck and also why they are great. This is not one of those posts. I would say generally I am an advocate and believer in distributed systems where they make sense, but the goal of this blog post (and the two others that will follow) is to share some stories with you about where I have got something wrong within a distributed system that has led to a far reaching impact. In this first post, I will share a mistake that I have seen made in multiple companies now that can lead to cascading failure. I call it the Kubernetes deep health check.https://encore.dev/blog/horror-stories-k8s
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