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 19 416 subscribers, ranking 6 942 in the Technologies & Applications category and 34 783 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 416 subscribers.
According to the latest data from 13 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 171 over the last 30 days and by 9 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 14.76%. Within the first 24 hours after publication, content typically collects 7.06% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 866 views. Within the first day, a publication typically gains 1 371 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 14 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.
STU is the TUI explorer application for Amazon S3 (AWS S3) written in Rust using ratatui.https://github.com/lusingander/stu
DiceDB is an open-source, fast, reactive, in-memory database optimized for modern hardware. Commonly used as a cache, it offers a familiar interface while enabling real-time data updates through query subscriptions. It delivers higher throughput and lower median latencies, making it ideal for modern workloads.https://github.com/dicedb/dice
Falco is a cloud native runtime security tool for Linux operating systems. It is designed to detect and alert on abnormal behavior and potential security threats in real-time.https://github.com/falcosecurity/falco
Processes kubectl outputs to enable vim-like navigation in a buffer for your cluster.https://github.com/Ramilito/kubectl.nvim
container-startup-autoscaler (CSA) is a Kubernetes controller that modifies the CPU and/or memory resources of containers depending on whether they're starting up, according to the startup/post-startup settings you supply. CSA works at the pod level and is agnostic to how the pod is managed; it works with deployments, statefulsets, daemonsets and other workload management APIs.https://github.com/ExpediaGroup/container-startup-autoscaler
In this article I will explain how you can safely fail over a rook-ceph Monitor to a new Kubernetes node. I hope I will save you some time and if you find the content useful please leave a clap.Also let me know in the comments of the article if you need professional help with a common topic.https://blog.devgenius.io/managing-kubernetes-ceph-cluster-monitor-easier-than-it-looks-56ee000e68ff
Kubernetes RBAC has some tricky areas where the behaviour you get might not be exactly what you expect, and sometimes as in this case, those unexpected behaviours are not very apparent!https://raesene.github.io/blog/2024/11/11/When-Is-Read-Only-Not-Read-Only
TL;DR Istio proxy costs for 10-nodes GKE cluster reduced from $3065 to $185 per month.https://medium.com/google-cloud/from-autopilot-to-standard-gke-the-key-to-15x-cheaper-istio-d755c1d3866d
At Mercado Libre, managing over 30,000 microservices and supporting 16,000 developers requires a robust and scalable solution. To address these challenges, we adopted Kubernetes (K8s) as the core engine of our internal platform, Fury. This article explores how Kubernetes streamlined our infrastructure management, accelerated software delivery, and improved cost efficiency, enabling our developers to focus on innovation and product creation.https://medium.com/mercadolibre-tech/kubernetes-at-mercado-libre-ec331bea1866
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