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 19 389 subscribers, ranking 6 921 in the Technologies & Applications category and 34 722 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 389 subscribers.
According to the latest data from 22 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 81 over the last 30 days and by -7 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 14.62%. Within the first 24 hours after publication, content typically collects 7.25% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 837 views. Within the first day, a publication typically gains 1 407 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 23 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.
In this article, we will explore some method of workflow debugging and create a reusable workflow. The DRY principle stands for Don’t Repeat Yourself, and it is a principle of software development that aims at reducing the repetition and code duplication. DRY principle can also apply to workflows and can be relatively easily implemented in Github Actions to avoid duplication. We will first recap the essentials of GitHub Actions, explore methods of workflow debugging. Then, we will create a composite action to lint Terraform code and compare it with reusable workflows. Finally, we will create a simple reusable workflow to run testing of Terraform modules in parallel.https://medium.com/@xpiotrkleban/github-actions-reusability-dry-principle-debugging-and-fast-feedback-c810ed87a43f
Seamless and efficient Docker and Linux on your Mac. Glide through your work faster with our Docker Desktop alternative.https://orbstack.dev
Cody answers code questions and writes code for you by reading your entire codebase and the code graphhttps://about.sourcegraph.com/cody
This repo covers Kubernetes with LABs: Kubectl, Pod, Deployment, Service, PV, PVC, Rollout, Multicontainer, Daemonset, Taint-Toleration, Job, Ingress, Kubeadm, Helm, etc.https://github.com/omerbsezer/Fast-Kubernetes
ContainerSSH: Launch containers on demandhttps://github.com/ContainerSSH/ContainerSSH
A couple of months ago, the new Kubernetes Gateway API graduated to beta. Why do you need another API to handle external traffic when you have the stable Kubernetes Ingress API and dozens of implementations? What problems of the Ingress API does the new Gateway API solve? Does this mean the end of the Ingress API? I will try to answer these questions in this article by getting hands-on with these APIs and looking at how they evolved.https://navendu.me/posts/gateway-vs-ingress-api
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