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 19 754 subscribers, ranking 6 513 in the Technologies & Applications category and 33 367 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 754 subscribers.
According to the latest data from 29 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 133 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 13.79%. Within the first 24 hours after publication, content typically collects 6.96% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 724 views. Within the first day, a publication typically gains 1 375 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 30 August, 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.
As applications grow, the question quickly shifts from what OTel can do to how we can deploy it effectively at scale. In this post, we’ll explore some deployment patterns for the OTel Collector!https://newsletter.signoz.io/p/patterns-for-deploying-otel-collector
Terragrunt vs Terraform: Why I chose Terragrunt to eliminate code duplication, automate state management, orchestrate deployments, and follow pattern-level reusehttps://www.axelmendoza.com/posts/terraform-vs-terragrunt
pvc-autoresizer resizes PersistentVolumeClaims (PVCs) when the free amount of storage is below the threshold. It queries the volume usage metrics from Prometheus that collects metrics from kubelet.https://github.com/topolvm/pvc-autoresizer
A high-throughput Java service was stalling. The culprit? Stop-the-World GC pauses were blocked by synchronous log writes to a busy disk.https://dzone.com/articles/the-jvm-pause-that-wasnt-a-war-story
“Good communication” is one of those phrases everyone nods along to — until the incident hits, and suddenly comms unravel before your eyes. So here’s what I actually mean when I say communication matters.https://uptimelabs.io/articles/good-communication-in-incident-response
