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 19 864 subscribers, ranking 6 625 in the Technologies & Applications category and 33 063 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 864 subscribers.
According to the latest data from 12 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -25 over the last 30 days and by 1 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 13.05%. Within the first 24 hours after publication, content typically collects 6.36% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 592 views. Within the first day, a publication typically gains 1 263 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 13 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.
Distributed tracing is crucial for monitoring complex systems. This article covers the three most popular open-source tracing tools: Jaeger, Zipkin, and Grafana Tempo.https://codersociety.com/blog/articles/jaeger-vs-zipkin-vs-tempo
A Guide to Effective Dashboard Design for DevOps and SREhttps://horovits.medium.com/unreadable-metrics-why-you-cant-find-anything-in-your-monitoring-dashboards-12fcc23d34c8
Everyone wants high utilization and high reliability. The hard truth about Kubernetes is that you need to pick one or the other.https://home.robusta.dev/blog/kubernetes-utilization-vs-reliability
TL;DR: Scaling nodes in a Kubernetes cluster could take several minutes with the default settings. Learn how to size your cluster nodes and proactively create nodes for quicker scaling.https://hashnode.com/post/proactive-cluster-autoscaling-in-kubernetes-cl88pz1ua01obu5nv24520hv6
On Kubernetes, the best practice is to set memory limit=request. This surprises many people, especially because we recommend not setting Kubernetes CPU limits altogether! Here's everything to know when setting a Kubernetes memory limit.https://home.robusta.dev/blog/kubernetes-memory-limit
AWS Load Balancer advanced tips & trickshttps://towardsdatascience.com/manage-your-aws-eks-load-balancer-like-a-pro-7ca599e081ca
