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 19 862 subscribers, ranking 6 619 in the Technologies & Applications category and 33 096 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 862 subscribers.
According to the latest data from 31 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -16 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 13.29%. Within the first 24 hours after publication, content typically collects 6.74% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 641 views. Within the first day, a publication typically gains 1 339 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 02 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.
Kubernetes seems like the obvious choice for building out remote, standardized and automated development environments. We thought so too and have spent six years invested in making the most popular cloud development environment platform at internet scale. That’s 1.5 million users, where we regularly see thousands of development environments per day. In that time, we’ve found that Kubernetes is not the right choice for building development environments.https://www.gitpod.io/blog/we-are-leaving-kubernetes
Harnessing the power of policy-driven governance in shared computing environmentshttps://alessandropomponio.medium.com/taming-the-wild-west-of-research-computing-how-policies-saved-us-a-thousand-headaches-9432558f5740
On December 11, 2024, OpenAI experienced a major outage caused by a failure in the Kubernetes cluster control plane. For outsiders, this may simply seem like an interesting incident, but as an insider, I analyzed this failure from a technical perspective.https://midbai.com/en/post/how-to-avoid-openai-incident
In this article, we take a look at the Azure Verified Module for Azure Landing Zones, and how we can customise deployments.P1: https://mikeguy.co.uk/posts/azure-verified-module-landing-zones-part-1 P2: https://mikeguy.co.uk/posts/azure-verified-module-landing-zones-part-2
A single binary to manage your multiple kubernetes clusters. kubewall provides a simple and rich real time interface to manage and investigate your clusters.https://github.com/kubewall/kubewall
This project aims to simplify the creation and management of complex custom resources for Kubernetes. Kube Resource Orchestrator (kro) helps you to define complex multi-resource constructs as reusable components in your applications and systems. It does this by providing a Kubernetes-native, vendor agnostic way to define groupings of Kubernetes resources. kro's fundamental custom resource is the ResourceGraphDefinition. A ResourceGraphDefinition defines collections of underlying Kubernetes resources. It can define any Kubernetes resources, either native or custom, and can specify the dependencies between them. This lets you define complex custom resources, and include default configurations for their use. The kro controller will determine the dependencies between resources, establish the correct order of operations to create and configure them, and then dynamically create and manage all of the underlying resources for you. kro is Kubernetes native and integrates seamlessly with existing tools to preserve familiar processes and interfaces.https://github.com/kro-run/kro
While research CNI recently, I recalled an interesting issue I encountered during the development of network plugins and investigation of Calico: Calico assigns IP addresses to its own components’ Pods (e.g., calico-kube-controllers). How does Calico achieve this? From the installation of the Calico network plugin to assigning IPs to its own Pods, what happens at the underlying level? This essentially poses a “chicken-and-egg” problem: running a Pod requires the CNI plugin, while the CNI plugin’s operation depends on the proper functioning of other Pods. This analysis is based on Cilium v1.16.5, Calico v3.29.1, and Kubernetes v1.23.https://midbai.com/en/post/cni-chicken-egg-problem
