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 19 415 subscribers, ranking 6 877 in the Technologies & Applications category and 34 521 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 415 subscribers.
According to the latest data from 27 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 72 over the last 30 days and by 14 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 14.66%. Within the first 24 hours after publication, content typically collects 7.19% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 846 views. Within the first day, a publication typically gains 1 395 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 28 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.
Kotal operator is a cloud agnostic blockchain deployer that makes it super easy to deploy highly-available, self-managing, self-healing blockchain infrastructure (networks, nodes, storage clusters ...) on any cloud.https://github.com/kotalco/kotal
Реклама. Информация о рекламодателе на сайте otus.ruParseable is an efficient and scalable log storage and management platform. Cloud native by design, Parseable ensures ease of deployment and use. It is compatible with standard logging agents like FluentBit, LogStash etc. With object storage as primary storage for Parseable, you get seamless scale and flexibility for ever growing log data. Parseable also offers a builtin, intuitive GUI for log query and analysis.https://github.com/parseablehq/parseable
Tracee is a Runtime Security and forensics tool for Linux. It uses Linux eBPF technology to trace your system and applications at runtime, and analyzes collected events in order to detect suspicious behavioral patterns. It is usually delivered as a docker container, but there are other ways you can use it (even create your own customized tracee container).https://github.com/aquasecurity/tracee
Schedule bpftrace programs on your kubernetes cluster using the kubectlhttps://github.com/iovisor/kubectl-trace
Linux eBPF backdoor over TCP. Spawn reverse shells, RCE, on prior privileged access.https://github.com/kris-nova/boopkit
Pixie is an open-source observability tool for Kubernetes applications. Use Pixie to view the high-level state of your cluster (service maps, cluster resources, application traffic) and also drill down into more detailed views (pod state, flame graphs, individual full-body application requests).https://github.com/pixie-io/pixie
Discover the ins and outs of eBPF and why it is particularly exciting when it comes to observing your containers and Kubernetes clustershttps://www.groundcover.com/blog/what-is-ebpf
Terraform-diff helps you detect what Terraform projects have changed when changes are made to Terraform modules.https://github.com/contentful-labs/terraform-diff
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