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 19 398 subscribers, ranking 6 921 in the Technologies & Applications category and 34 722 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 398 subscribers.
According to the latest data from 22 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 81 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 14.62%. Within the first 24 hours after publication, content typically collects 7.25% 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 1 407 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 23 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.
Нативная интеграция. Информация о продукте www.otus.ruIn CWISE we use Terraform a lot. The most common use cases for Terraform for us is cloud resource provisioning, Kubernetes configuration management, and SaaS services (like Github/Gitlab) management. We prefer Terraform over many other competitors due multiple reasons: - Tried and tested tool, has been around for a long time and Hashicorp is doing great work of developing it. Can be defined as mature and even boring technology; - A large number of community resources like providers, modules, and documentation; - Good developer experience due to support in IDE's and support tools; - Has got a configuration state (database);https://www.cwise.eu/post/scaling-terraform-with-terramate
BlazingMQ is an open source distributed message queueing framework, which focuses on efficiency, reliability, and a rich feature set for modern-day workflows. At its core, BlazingMQ provides durable, fault-tolerant, highly performant, and highly available queues, along with features like various message routing strategies (e.g., work queues, priority, fan-out, broadcast, etc.), compression, strong consistency, poison pill detection, etc.https://github.com/bloomberg/blazingmq
faasd is OpenFaaS reimagined, but without the cost and complexity of Kubernetes. It runs on a single host with very modest requirements, making it fast and easy to manage. Under the hood it uses containerd and Container Networking Interface (CNI) along with the same core OpenFaaS components from the main project.https://github.com/openfaas/faasd
Learn how to identify your Inter-Zone Egress costs in a few easy steps, using commonly available methods. Ever wondered where those Inter-Zone Egress costs are coming from? Found yourself looking at GCP’s network pricing page many times to break it down? Me too. So I thought I might as well try to help clear things up.https://www.doit.com/identifying-gcps-hidden-network-inter-zone-egress-costs
PostgreSQL, a powerful open-source object-relational database system, has been lauded for its robustness, functionality, and flexibility. However, it is not without its challenges – one of which is the notorious VACUUM process. However, the dawn of a new era is upon us with OrioleDB, a novel engine designed for PostgreSQL that promises to eliminate the need for the resource-consuming VACUUM.https://www.orioledata.com/blog/no-more-vacuum-in-postgresql
Is there really any value in setting service level indicators and objectives?https://blog.alexewerlof.com/p/why-bother-with-sli-and-slo
Нативная интеграция. Информация о продукте www.otus.ru
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