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 19 407 subscribers, ranking 6 929 in the Technologies & Applications category and 34 717 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 407 subscribers.
According to the latest data from 20 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 109 over the last 30 days and by -1 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 14.80%. Within the first 24 hours after publication, content typically collects 7.24% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 873 views. Within the first day, a publication typically gains 1 405 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 21 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.
Tiny automation pipelines. Bring CI/CD to the smallest projects. Self-hosted, Lightweight, CLI only.https://github.com/pipelight/pipelight
At Spotify, we have experimented with the Bazel build system since 2017. Over the years, the project has matured, and support for more languages and ecosystems have been added, thanks to the open source community and its maintainers at Google. In 2020, it became clear that the future of our client development required a unified build system that would scale well with our polyglot, multiplatform, and multimillion-line codebase. So we focused more of our energy on Bazel, and we transitioned the iOS Spotify app to build completely with Bazel for our 200+ engineers — without missing a single weekly release for millions of our iOS users.https://engineering.atspotify.com/2023/10/switching-build-systems-seamlessly
This Terraform module creates the required infrastructure needed to host GitHub Actions self-hosted, auto-scaling runners on AWS spot instances. It provides the required logic to handle the life cycle for scaling up and down using a set of AWS Lambda functions. Runners are scaled down to zero to avoid costs when no workflows are active.https://github.com/philips-labs/terraform-aws-github-runner
erid: 2VtzqvQfvtTI wrote this blog post to share some of my learnings on creating intuitive documentation for products and projects over the past decade or so. This post is for those of you looking to make your documentation interesting enough for the audience to keep coming back for more.https://abstraction.blog/2023/11/22/intuitive-documentation-strategy
CLI tool, Prometheus exporter, and Go module to list your unused disks in all cloud providershttps://github.com/grafana/unused
A performance dashboard for Postgreshttps://github.com/ankane/pghero
How to manage TF multiple environments in your projectshttps://medium.com/@b0ld8/terraform-manage-multiple-environments-63939f41c454
OpenSource solution that defines and manages the complete lifecycle of resources used and provisioned into a cloud!https://github.com/D10S0VSkY-OSS/Stack-Lifecycle-Deployment
erid: 2VtzqxP11uMCilicon is a macOS App that leverages Apple's Virtualization Framework to create, provision and run ephemeral CI VMs with near-native performance. It currently supports Github Actions, Buildkite Agent, GitLab Runner and arbitrary scripts.https://github.com/traderepublic/Cilicon
This repository contains the DCGM-Exporter project. It exposes GPU metrics exporter for Prometheus leveraging NVIDIA DCGM.https://github.com/NVIDIA/dcgm-exporter
In addition to the basic Pod types, Kubernetes offers a variety of higher-level workload types, such as Deployment, DaemonSet, and StatefulSet. These higher-level controllers allow you to provide services with multiple replicas of your Pods, making it easier to achieve a high availability architecture. However, when Kubernetes nodes experience failures such as crashes, network disruptions, or system failures, what happens to the Pods running on those nodes? From a high availability perspective, some might think that having multiple replicas of an application ensures that the service remains unaffected by node failures. However, in certain cases where the application belongs to a StatefulSet, horizontal scaling isn’t an option. In such scenarios, it becomes necessary to quickly reschedule the related Pods to maintain service availability in the event of node failures.https://hwchiu.medium.com/handling-pods-when-nodes-fail-4daae20213b
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