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 19 870 subscribers, ranking 6 598 in the Technologies & Applications category and 33 029 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 870 subscribers.
According to the latest data from 10 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -27 over the last 30 days and by -3 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 12.81%. Within the first 24 hours after publication, content typically collects 6.41% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 546 views. Within the first day, a publication typically gains 1 273 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 11 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.
Memory leaks are a common and frustrating problem in software development. These issues arise when a program fails to free up memory that is no longer being used, leading to a gradual loss of available memory over time.https://www.codereliant.io/what-is-a-memory-leak
This two-article series is about monitoring. Part One covers accumulating a multitude of different metrics in a single place, handling permissions for different aspects of those metrics, and storing large amounts of data. In Part Two, we then focus on choosing monitoring systems based on the brief example of a fictional company’s “journey” in struggling with continually expanding its monitoring system and growing its infrastructure.https://blog.palark.com/prometheus-architecture-tsdb
Cluster.dev is an open-source tool designed to manage cloud native infrastructures with simple declarative manifests - infrastructure templates. The infrastructure templates could be based on Terraform modules, Kubernetes manifests, Shell scripts, Helm charts, Kustomize and ArgoCD/Flux applications, OPA policies etc. Cluster.dev sticks those components together so that you could deploy, test and distribute a whole set of components with pinned versions.https://github.com/shalb/cluster.dev
The new Terraform version v1.6.0 introduce a test framework, named “Terraform test”. Here’s how to use it.https://blog.captaincy.io/how-to-use-terraform-test
Or, Eleven things we have learned as Site Reliability Engineers at Google 1. The riskiness of a mitigation should scale with the severity of the outage 2. Recovery mechanisms should be fully tested before an emergency 3. Canary all changes 4. Have a "Big Red Button" 5. Unit tests alone are not enough - integration testing is also needed 6. COMMUNICATION CHANNELS! AND BACKUP CHANNELS!! AND BACKUPS FOR THOSE BACKUP CHANNELS!!! 7. Intentionally degrade performance modes 8. Test for Disaster resilience 9. Automate your mitigations 10. Reduce the time between rollouts, to decrease the likelihood of the rollout going wrong 11. A single global hardware version is a single point of failurehttps://sre.google/resources/practices-and-processes/twenty-years-of-sre-lessons-learned
