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 19 872 subscribers, ranking 6 592 in the Technologies & Applications category and 33 022 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 872 subscribers.
According to the latest data from 08 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -26 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 12.80%. Within the first 24 hours after publication, content typically collects 6.49% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 544 views. Within the first day, a publication typically gains 1 289 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 09 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.
The GitButler version control client, backed by Git, powered by Tauri/Rust/Sveltehttps://github.com/gitbutlerapp/gitbutler
Cleaner is a Kubernetes controller that identifies unused or unhealthy resources, helping you maintain a streamlined and efficient Kubernetes cluster. It provides flexible scheduling, label filtering, Lua-based selection criteria, resource removal or update and notifications via Slack, Webex and Discord.https://github.com/gianlucam76/k8s-cleaner
Do you have a set of projects sitting in a mono-repo and having various workspaces, file structures, and Terraform versions? A pain of switching the versions and remembering all path/workspace combinations? Uncertainty about the correctness of the workspace, or plan file before applying it? I feel you! I’d share my experience in managing such projects, an approach to make it much easier, and a simple tool I wrote a few years ago for that. How is it related to Docker Compose? I’ll tell you…https://tech.westwing.de/multiple-terraform-projects-in-a-mono-repo-how-to-survive-a-mess-e1ec5a136d17
Apache APISIX is a dynamic, real-time, high-performance API Gateway. APISIX API Gateway provides rich traffic management features such as load balancing, dynamic upstream, canary release, circuit breaking, authentication, observability, and more. You can use APISIX API Gateway to handle traditional north-south traffic, as well as east-west traffic between services. It can also be used as a k8s ingress controller.https://github.com/apache/apisix
Using traditional package managers or applying manifests directly can be super confusing and doesn't scale. Therefore, Glasskube will help you to install your favorite Kubernetes packages using the Glasskube UI for reduced complexity and increased transparency. We are also providing a brew inspired CLI for advanced users. Our packages are dependency aware, as you would expect from a package manager. Designed as a cloud native application, so you can follow your GitOps approach.https://github.com/glasskube/glasskube
Good alerting hygiene consists of a few components: chasing down alert conditions, reflecting on incidents, and thinking of what makes a signal good or bad. The hope is that we can get our alerts to the stage where they will page us when they should, and they won’t when they shouldn’t. However, the reality of alerting in a socio-technical system must cater not only to the mess around the signal, but also to the longer term interpretation of alerts by people and automation acting on them. This post will expand on this messiness and why Honeycomb favors an iterative approach to setting our alerts.https://www.honeycomb.io/blog/alerts-are-fundamentally-messy
Inbucket is an email testing service; it will accept messages for any email address and make them available via web, REST and POP3 interfaces. Once compiled, Inbucket does not have any external dependencies - HTTP, SMTP, POP3 and storage are all built in.https://github.com/inbucket/inbucket
