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 19 874 subscribers, ranking 6 603 in the Technologies & Applications category and 33 031 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 874 subscribers.
According to the latest data from 09 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -22 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 12.79%. Within the first 24 hours after publication, content typically collects 6.46% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 541 views. Within the first day, a publication typically gains 1 284 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 10 November, 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.
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
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, erid: 2VtzqwyWcXVIn this post, you’ll learn the rationale and approach taken by Miro’s Compute team to enhance Kubernetes cluster scaling and efficiency. This was achieved by adopting groupless node pools using Karpenter and helped reduce the compute costs in non-production clusters up to 60%, while increasing production resources usage efficiency up to 95%.https://medium.com/miro-engineering/optimizing-kubernetes-scalability-and-cost-efficiency-with-karpenter-356153fcf546
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, www.otus.ru, erid: 2Vtzqv5o1ESA web user interface to manage your WireGuard setup.https://github.com/ngoduykhanh/wireguard-ui
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, erid: 2VtzqxNjfP8Kargo is a next-generation continuous delivery and application lifecycle orchestration platform for Kubernetes. It builds upon GitOps principles and integrates with existing technologies, like Argo CD, to streamline and automate the progressive rollout of changes across the many stages of an application's lifecycle.https://github.com/akuity/kargo
