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 19 758 subscribers, ranking 6 513 in the Technologies & Applications category and 33 367 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 758 subscribers.
According to the latest data from 29 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 133 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 13.79%. Within the first 24 hours after publication, content typically collects 6.96% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 724 views. Within the first day, a publication typically gains 1 375 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 30 August, 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.
Phoenix is an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting.https://github.com/Arize-ai/phoenix
A set of Grafana dashboards and Prometheus alerts for Kubernetes Autoscaling using the metrics from Kube-state-metrics, Karpenter, and Cluster-autoscaler.https://github.com/adinhodovic/kubernetes-autoscaling-mixin
JuiceFS is a high-performance POSIX file system released under Apache License 2.0, particularly designed for the cloud-native environment. The data, stored via JuiceFS, will be persisted in Object Storage (e.g. Amazon S3), and the corresponding metadata can be persisted in various compatible database engines such as Redis, MySQL, and TiKV based on the scenarios and requirements. With JuiceFS, massive cloud storage can be directly connected to big data, machine learning, artificial intelligence, and various application platforms in production environments. Without modifying code, the massive cloud storage can be used as efficiently as local storage.https://github.com/juicedata/juicefs
zot: a production-ready vendor-neutral OCI image registry - images stored in OCI image format, distribution specification on-the-wire, that's it!https://github.com/project-zot/zot
OpenObserve Kide is a lightweight and fast Kubernetes IDE.https://github.com/openobserve/kide
Declarative node network configuration driven through Kubernetes API.https://github.com/nmstate/kubernetes-nmstate
Kanidm is a simple and secure identity management platform, allowing other applications and services to offload the challenge of authenticating and storing identities to Kanidm. The goal of this project is to be a complete identity provider, covering the broadest possible set of requirements and integrations. You should not need any other components (like Keycloak) when you use Kanidm - we already have everything you need! To achieve this we rely heavily on strict defaults, simple configuration, and self-healing components. This allows Kanidm to support small home labs, families, small businesses, and all the way to the largest enterprise needs. If you want to host your own authentication service, then Kanidm is for you!https://github.com/kanidm/kanidm
Что тебя ждёт: ⏺ 2,5 месяца работы над проектом; ⏺ 80% времени — практика, задания и code review; ⏺ обучение онлайн или в офисе YADRO в Санкт-Петербурге; ⏺ менторство от инженеров YADRO; ⏺ возможность попасть на стажировку по итогам обучения.*⃣ Подходит тебе, если: ты студент 2 курса и старше, уумеешь работать с Linux, скриптами и настройкой серверов. Подробности о курсе и других направлениях подготовки смотри на сайте!
Recently, I’ve had a number of folks ask for some more details about how SimKube can be used to predict or forecast your Kubernetes expenditures, and I realized that I’ve said you can do this several times, but I’ve never actually gone through the details! So this post will show you how.https://blog.appliedcomputing.io/p/howto-use-simkube-for-cost-forecasting
Lessons in systems because AWS deprecated OpsWorkshttps://medium.com/freshworks-engineering-blog/two-million-websockets-90f63e760cfd
“I understand why we need to be blameless, but I have this person in my team who is often reckless. How can I not blame them when their actions continuously make things worse?” Someone asked me this at the SRE meetup, right after my talk on incidents. Since then I’ve been thinking about it, because it surfaces a concern many people might have.https://humansinsystems.com/blog/you-cant-debug-a-systems-by-blaming-a-person
Datadog cut off our observability overnight. We migrated to an open Grafana stack in 48 hours. Here’s why vendor lock-in is fading in an AI-native world.https://www.deductive.ai/blogs/datadog-thank-you-for-blocking-us
In this post, I will discuss if there is a difference between resilience and fault tolerance when talking about IT systems.https://www.ufried.com/blog/resilience_vs_fault_tolerance
If you ask 10 SRE engineers to define SRE, you'll get 11 definitions.https://queue.acm.org/detail.cfm?ref=rss&id=3773094
