DevOps&SRE Library
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
Больше📈 Аналитический обзор Telegram-канала DevOps&SRE Library
Канал DevOps&SRE Library (@devopslibrary) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 19 424 подписчиков, занимая 6 933 место в категории Технологии и приложения и 34 753 место в регионе Россия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 19 424 подписчиков.
Согласно последним данным от 15 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 169, а за последние 24 часа — 4, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 14.78%. В первые 24 часа после публикации контент обычно набирает 7.10% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 2 870 просмотров. В течение первых суток публикация набирает 1 379 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 1.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как kubernete, cluster, infrastructure, storage, configuration.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
Благодаря высокой частоте обновлений (последние данные получены 16 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
About a year ago, Honeycomb kicked off an internal experiment to structure how we do incident response. We looked at the usual severity-based approach (usually using a SEV scale), but decided to adopt an approach based on types, aiming to better play the role of quick definitions for multiple departments put together. This post is a short report on our experience doing it.https://www.honeycomb.io/blog/against-incident-severities-favor-incident-types
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, erid: 2VtzqwCYrt7According to a survey done by W3Techs, as of October 2024, Cloudflare is used as an authoritative DNS provider by 14.5% of all websites. As an authoritative DNS provider, we are responsible for managing and serving all the DNS records for our clients’ domains. This means we have an enormous responsibility to provide the best service possible, starting at the data plane. As such, we are constantly investing in our infrastructure to ensure the reliability and performance of our systems.https://blog.cloudflare.com/migrating-billions-of-records-moving-our-active-dns-database-while-in-use
mise is a polyglot tool version manager. It replaces tools like asdf, nvm, pyenv, rbenv, etc. mise allows you to switch sets of env vars in different project directories. It can replace direnv. mise is a task runner that can replace make, or npm scripts.https://github.com/jdx/mise
Netavark is a rust based network stack for containers.https://github.com/containers/netavark
As generative AI evolves, we're beginning to see the transformative potential it is having across industries and our lives. And as large language models (LLMs) increase in size — current models are reaching hundreds of billions of parameters, and the most advanced ones are approaching 2 trillion — the need for computational power will only intensify. In fact, training these large models on modern accelerators already requires clusters that exceed 10,000 nodes. With support for 15,000-node clusters — the world’s largest — Google Kubernetes Engine (GKE) has the capacity to handle these demanding training workloads. Today, in anticipation of even larger models, we are introducing support for 65,000-node clusters. With support for up to 65,000 nodes, we believe GKE offers more than 10X larger scale than the other two largest public cloud providers.https://cloud.google.com/blog/products/containers-kubernetes/gke-65k-nodes-and-counting
BemiDB is a Postgres read replica optimized for analytics. It consists of a single binary that seamlessly connects to a Postgres database, replicates the data in a compressed columnar format, and allows you to run complex queries using its Postgres-compatible analytical query engine.https://github.com/BemiHQ/BemiDB
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, erid: 2Vtzqwp3neBIndexes can make a world of difference to performance in Postgres, but it’s not always obvious when you’ve written a query that could do with an index. Here we’ll cover: - What indexes are - Some use cases for when they’re helpful - Rules of thumb for figuring out which sort of index to add - How to identify when you’re missing an indexhttps://incident.io/blog/choosing-the-right-postgres-indexes
I am afraid to inform you that you have built a Kubernetes. I know you wanted to "choose boring tech" to just run some containers. You said that "Kubernetes is overkill" and "it's just way too complex for a simple task" and yet, six months later, you have pile of shell scripts that do not work—breaking every time there's a slight shift in the winds of production.https://www.macchaffee.com/blog/2024/you-have-built-a-kubernetes
Bashly is a command line application (written in Ruby) that lets you generate feature-rich bash command line tools. Bashly lets you focus on your specific code, without worrying about command line argument parsing, usage texts, error messages and other functions that are usually handled by a framework in any other programming language.https://github.com/DannyBen/bashly
This program walks a hierarchy of Argo CD Application templates, renders Kubernetes manifests from the input templates, and posts the rendered files back for the user to review and validate. It is designed to be called from a CI job within a pull request, enabling the author to update templates and see the resulting manifests directly within the pull request before the changes are applied to the Kubernetes cluster. The rendered manifests are kept within the repository, making diffs between revisions easy to parse, dramatically improving safety when updating complex application templates.https://github.com/chime/mani-diffy
As an open-source distributed storage, CubeFS can serve as your datacenter filesystem, data lake storage infra, and private or hybrid cloud storage. In particular, CubeFS enables the separation of storage/compute architecture for databases and AI/ML applications.https://github.com/cubefs/cubefs
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, erid: 2VtzqxWYLzb
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