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 19 396 subscribers, ranking 6 923 in the Technologies & Applications category and 34 735 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 396 subscribers.
According to the latest data from 23 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 66 over the last 30 days and by -12 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 14.63%. Within the first 24 hours after publication, content typically collects 7.14% 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 1 384 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 24 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, I will explain how I analyzed and configured my Prometheus setup in order to significantly reduce its resource usage and worked around cardinality issues.https://0xdc.me/blog/prometheus-performance-and-cardinality-in-practice
Kubemarine is an open source, lightweight and powerful management tool built for end-to-end Kubernetes cluster deployment and maintenance.https://github.com/Netcracker/KubeMarine
kubeaudit helps you audit your Kubernetes clusters against common security controlshttps://github.com/Shopify/kubeaudit
To know about the concept of Linux's OOMKilled and how it helps Kubernetes to define a Quality of Service (QoS) class for its pods.https://cloudyuga.guru/hands_on_lab/k8s-qos-oomkilled
This is a Helm plugin which map deprecated or removed Kubernetes APIs in a release to supported APIshttps://github.com/helm/helm-mapkubeapis
Debug a target container in a Kubernetes cluster by automatically creating a new, non-invasive, 'debug' container in the same pid, network, user, and ipc namespace as the target container without disrupting the target container.https://github.com/JamesTGrant/kubectl-debug
In this post we're going to focus on the ways that a single load balancer might distribute HTTP requests to a set of servers. We'll start from the bottom and work our way up to modern load balancing algorithms.https://samwho.dev/load-balancing
macOS and Linux VMs on Apple Silicon to use in CI and other automationshttps://github.com/cirruslabs/tart
TL;DR: In this article you will learn how to create clusters on the GCP Google Kubernetes Engine (GKE) with the gcloud CLI and Terraform. By the end of the tutorial, you will automate creating three clusters (dev, staging, prod) complete with the GKE Ingress in a single click. UPDATED IN JANUARY 2023https://learnk8s.io/terraform-gke
Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not dayshttps://github.com/jitsucom/jitsu
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