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 19 866 subscribers, ranking 6 619 in the Technologies & Applications category and 33 090 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 866 subscribers.
According to the latest data from 30 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -7 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 13.27%. Within the first 24 hours after publication, content typically collects 6.74% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 637 views. Within the first day, a publication typically gains 1 339 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
- 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 31 October, 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.
A fast, lightweight CLI utility toolkit for developers and IT professionals. ut provides a comprehensive set of commonly-used tools in a single binary, eliminating the need to install and remember multiple utilities or search for random websites to perform simple tasks.https://github.com/ksdme/ut
kubectl-ai acts as an intelligent interface, translating user intent into precise Kubernetes operations, making Kubernetes management more accessible and efficient.https://github.com/GoogleCloudPlatform/kubectl-ai
Kubernetes clusters on your very own machinehttps://jc1175.medium.com/a-crash-course-in-running-kubernetes-locally-7c573dd64933
One of the things we quickly find out when using Kubernetes is that it’s hard to know what is going on in our cluster. In most cases, we implement monitoring and alerting after we’ve dealt with problems, but there is a better way. We don’t need to wait for the explosions, we can re-use the community’s knowledge and implement observability from the beginning.https://www.amazinglyabstract.it/kubernetes/observability/2025/06/26/kubernetes-mixins.html
Elephantshark helps monitor, understand and troubleshoot Postgres network traffic: Postgres clients, drivers and ORMs talking to Postgres servers, proxies and poolers (also: standby servers talking to their primaries and subscriber servers talking to their publishers).https://github.com/neondatabase-labs/elephantshark
A comprehensive list of PostgreSQL 18 new features, performance optimizations, operational and observability improvements, and new tools for devs.https://xata.io/blog/going-down-the-rabbit-hole-of-postgres-18-features
Understand Kubernetes monitoring metrics that help detect issues early, improve reliability, and keep your cluster performing at its best.https://last9.io/blog/kubernetes-monitoring-metrics
Metrics are the quantitative backbone of observability—the numbers that tell us how our systems are performing. This is the third post in our OpenTelemetry naming series, where we've already explored how to name spans and how to enrich them with meaningful attributes. Now let's tackle the art of naming the measurements that matter.https://blog.olly.garden/how-to-name-your-metrics
High-performance read-through cache for object storage.https://github.com/s2-streamstore/cachey
