DevOps&SRE Library
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
Mostrar más📈 Análisis del canal de Telegram DevOps&SRE Library
El canal DevOps&SRE Library (@devopslibrary) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 19 424 suscriptores, ocupando la posición 6 933 en la categoría Tecnologías y Aplicaciones y el puesto 34 753 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 424 suscriptores.
Según los últimos datos del 15 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 169, y en las últimas 24 horas de 4, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 14.78%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 7.10% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 870 visualizaciones. En el primer día suele acumular 1 379 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1.
- Intereses temáticos: El contenido se centra en temas clave como kubernete, cluster, infrastructure, storage, configuration.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 16 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
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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