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 19 429 subscribers, ranking 6 863 in the Technologies & Applications category and 34 483 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 429 subscribers.
According to the latest data from 02 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 47 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 13.23%. Within the first 24 hours after publication, content typically collects 7.43% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 571 views. Within the first day, a publication typically gains 1 444 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 03 July, 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.
Allstar is a GitHub App installed on organizations or repositories to set and enforce security policies. Its goal is to be able to continuously monitor and detect any GitHub setting or repository file contents that may be risky or do not follow security best practices. If Allstar finds a repository to be out of compliance, it will take an action such as create an issue or restore security settings.https://github.com/ossf/allstar
Think of it as a swiss army knife for Kubernetes taskshttps://github.com/homeport/havener
Между неправильными измерениями и неправильными ожиданиями тонкая грань. Люди обвиняют метрики в том, что они не показывают того, чего от них ждут. В этой статье я на практике покажу какие метрики либвирта часто понимают неправильно и почему это происходит.https://alexzzz.ru/post/wrong-metrics-libvirt
UPD: пишет девушка Кирилла. он вследствие врачебной ошибки потерял здоровье и работоспособность.
кто хочет помочь в сложной ситуации, номер карты Сбербанка 4276380156637956 или пишите мне в телеграм @annseThis repo contains the source for two separate tools: docker-credential-magic - credential helper which proxies auth to other helpers based on domain name docker-credential-magician - tool to augment images with various credential helpers (including magic)repo: https://github.com/docker-credential-magic/docker-credential-magic post about project: https://medium.com/@jdolitsky/docker-credential-magic-a-magic-shim-for-docker-credential-helpers-deae9e78c2df
Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management. It enables data analysts and engineers to transform their data by writing simple SQL queries and YAML configuration while Optimus handles dependency management, scheduling and all other aspects of running transformation jobs at scale.https://github.com/odpf/optimus
Use Docker Buildkit to securely configure your Docker image to access private resourceshttps://medium.com/marionete/pass-secure-information-for-building-docker-images-8adeafe08355
Dasel (short for data-selector) allows you to query and modify data structures using selector strings. Comparable to jq / yq, but supports JSON, YAML, TOML, XML and CSV with zero runtime dependencies.https://github.com/TomWright/dasel
Prometheus is an incredibly popular option for monitoring and time series data on kubernetes. Many developers simply install it and let it do its thing. So it can come as a shock when it starts getting overwhelmed. Don’t panic! We’ll help you understand some of the cases you might be encountering and what your options are.https://hackernoon.com/my-prometheus-is-overwhelmed-help-qi1937xj
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