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 19 867 subscribers, ranking 6 613 in the Technologies & Applications category and 33 130 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 867 subscribers.
According to the latest data from 29 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 1 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 13.13%. Within the first 24 hours after publication, content typically collects 6.75% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 610 views. Within the first day, a publication typically gains 1 341 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
- 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 30 October, 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.
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.https://github.com/containers/ramalama
K3k, Kubernetes in Kubernetes, is a tool that empowers you to create and manage isolated K3s clusters within your existing Kubernetes environment.https://github.com/rancher/k3k
Monitor cross-zone network traffic in Kubernetes.https://github.com/polarsignals/kubezonnet
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.https://github.com/NVIDIA/KAI-Scheduler
Volcano vgpu device-plugin can provide device-sharing mechanism for NVIDIA devices managed by volcano.https://github.com/Project-HAMi/volcano-vgpu-device-plugin
Cluster Bare Autoscaler (CBA) automatically adjusts the size of a bare-metal Kubernetes cluster by powering nodes off or on based on real-time resource usage, while safely cordoning and draining nodes before shutdown.https://github.com/docent-net/cluster-bare-autoscaler
A single <11MB binary with a modern Web UI, CLI, and API for KVM. No XML. No bloat. Just VMs.https://github.com/volantvm/flint
Private Captcha is an independent, privacy-first, self-hostable Proof-of-Work CAPTCHA service made in EU.https://github.com/PrivateCaptcha/PrivateCaptcha
A self-hosted database backup management tool. Schedule automated backups, monitor status, and manage multiple databases from one place.https://github.com/dendianugerah/velld
Self-hosted file management system with multi-cloud support.https://github.com/cloudreve/Cloudreve
A comprehensive guide to understanding metrics in OpenTelemetry. What they are, how they work, and how to implement them effectively with practical code examples.https://oneuptime.com/blog/post/2025-08-26-what-are-metrics-in-opentelemetry/view
