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 19 804 subscribers, ranking 6 522 in the Technologies & Applications category and 33 431 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 804 subscribers.
According to the latest data from 05 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 122 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 13.81%. Within the first 24 hours after publication, content typically collects 6.85% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 733 views. Within the first day, a publication typically gains 1 357 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 06 September, 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.
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, erid: 2VtzqwFfAuVRecently, I was tasked with analyzing cross-AZ traffic in Kubernetes to identify opportunities for reduction, as it is a significant contributor to our AWS bill. The first step was to understand how traffic flows between services and what portion consistently crosses Availability Zones (AZs). To optimize cross-AZ traffic, I considered using topology-aware routing for services. However, before implementing this solution, I needed a method to effectively analyze inter-pod traffic at the AZ level. To achieve this, monitoring network traffic at the pod level is necessary. I decided to use eBPF (Extended Berkeley Packet Filter) technology, as it allows us to observe network interactions with minimal performance overhead. In this article, I will explain what eBPF is, explore the tools available for using it, and provide a step-by-step guide on implementing monitoring for inter-pod traffic using Retina, Kube State Metrics, Prometheus, and Grafana.https://medium.com/@j.aslanov94/monitoring-inter-pod-traffic-at-the-az-level-with-ebpf-based-tool-retina-7a79818e305b
Master Terraform modules for Azure infrastructure management. Learn to create, use, and optimize modules, build a multi-tier application, and implement best practices for large-scale projects. Ideal for DevOps engineers and cloud architects looking to enhance their Infrastructure as Code skills on Azure.https://www.iamachs.com/p/azure-terraform/part-7-modules-grand-finale
Add a terraform plan -light flag such that only resources modified in code are targeted for planning. This would reduce the scope of the pre-plan refresh down to the set of resources we know changed, which reduces overall plan times without the consistency risk of -refresh=false. For Terraform to know what resources were modified in code, it would store the hash of the serialized sorted attribute map for each resource successfully applied. This would allow diff’ing “last-applied code” vs. “new code”, the result of which is the scope of the next -light plan. Basically, -light autogenerates the -target list from code changes.https://www.bejarano.io/terraform-plan-light
In this article I want to describe how to configure the IAM relationships in a multi-account AWS organization with AWS SSO to allow managing infrastructure as a code with terragrunt/terraform from both CI/CD runner and local PCs.https://dev.to/yyarmoshyk/proper-setup-of-iam-federation-in-multi-account-aws-organization-for-terragrunt-3ape
In this blog post we will look at securing an AWS Terraform configuration using Trivy to check for known security issues. We will explore different ways of using Trivy, integrating it into your CI pipelines, practical issues you might face and solutions to those issues to get you started with improving the security of your IaC codebases.https://verifa.io/blog/how-to-secure-terraform-trivy
wush is a command line tool that lets you easily transfer files and open shells over a peer-to-peer WireGuard connection.https://github.com/coder/wush
Self-hostable clone of lazydocker for the web. Manage your Docker fleet with easehttps://github.com/will-moss/isaiah
The fastest knowledge base for growing teams. Beautiful, realtime collaborative, feature packed, and markdown compatible.https://github.com/outline/outline
kubetrim tidies up old and broken cluster and context entries from your kubeconfig file.https://github.com/alexellis/kubetrim
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, erid: 2VtzquuKJk6