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 19 859 subscribers, ranking 6 603 in the Technologies & Applications category and 33 084 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 859 subscribers.
According to the latest data from 03 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -20 over the last 30 days and by -4 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 13.32%. Within the first 24 hours after publication, content typically collects 6.63% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 645 views. Within the first day, a publication typically gains 1 317 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 04 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.
Managing Terraform and Terragrunt at scale can be challenging! My team was spending much time identifying affected stacks and dealing with plan and apply processes, leading to increased drift risks. Existing solutions like Atlantis, Digger, and Spacelift didn’t fully meet our needs, so we decided to build our own! This article details why and how we developed Terraflow to have stack detection, manage dependencies, and simplify our deployment workflows. Some refer to tools like Terraflow as TACOS, which stands for Terraform Automation and Collaboration Software. TACOS frameworks are designed specifically to tackle the challenges of operating IaC at scale by streamlining automation, collaboration, and control across infrastructure deployments.https://medium.com/@dotdc/creating-terraflow-a-ci-cd-orchestrator-to-scale-terraform-3965b3f8931f
Scooter is an interactive find-and-replace terminal UI app.https://github.com/thomasschafer/scooter
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, erid: 2Vtzqx9LHjfThis container image watches over the number of schedulable nodes and cores of the cluster and resizes the number of replicas for the required resource. This functionality may be desirable for applications that need to be autoscaled with the size of the cluster, such as DNS and other services that scale with the number of nodes/pods in the cluster.https://github.com/kubernetes-sigs/cluster-proportional-autoscaler
SlimFaas: The slimest and simplest Function As A Servicehttps://github.com/AxaFrance/SlimFaas
The namespace-configuration-operator helps keeping configurations related to Users, Groups and Namespaces aligned with one of more policies specified as a CRshttps://github.com/redhat-cop/namespace-configuration-operator
In the world of Kubernetes, ensuring high availability of application during maintenance and upgrades can be a frustrating this has happened to me most times. As you scale and manage containerized applications, minimizing downtime and maintaining service continuity becomes a huge challenge especially when a simple human error can cause service disruption. This is where the concept of Pod Disruption Budgets (PDBs) comes into play, today we will dive deep into the fundamentals of Pod Disruption Budget explore how to implement them in your Kubernetes clusters.https://dev.to/alpharm/pod-disruption-in-kubernetes-2cmb
При покупке потока вы получите курс «Gitlab CI/CD» в подарок!Старт 9 декабря. 👉Занять место на курсе Реклама ООО «Слёрм» ИНН 3652901451
For applications deployed in orchestrated environments (e.g., Kubernetes), graceful handling of termination signals is crucial.https://packagemain.tech/p/graceful-shutdowns-k8s-go
