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 19 766 suscriptores, ocupando la posición 6 512 en la categoría Tecnologías y Aplicaciones y el puesto 33 334 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 766 suscriptores.
Según los últimos datos del 30 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 135, y en las últimas 24 horas de 1, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 13.71%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 6.94% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 709 visualizaciones. En el primer día suele acumular 1 372 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
- 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 31 agosto, 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.
The Infrastructure team at Hugging Face is excited to share a behind-the-scenes look at the inner workings of Hugging Face's production infrastructure, which we’ve had the privilege of helping to build and maintain. Our team's dedication to designing and implementing a robust monitoring and alerting system has been instrumental in ensuring the stability and scalability of our platforms. We’re constantly reminded of the impact that our alerts have on our ability to identify and respond to potential issues before they become major incidents. In this blog post, we’ll dive into the details of three mighty alerts that play their unique role in supporting our production infrastructure, and explore how they've helped us maintain the high level of performance and uptime that our community relies on.https://huggingface.co/blog/infrastructure-alerting
Fourteen years ago, Dropbox took its first steps toward building its own hardware infrastructure—and as our product and user base has grown, so has our infrastructure. What started with just a handful of servers has evolved into one of the largest custom-built storage systems in the world. We've scaled from a few dozen machines to tens of thousands of servers with millions of drives. That evolution didn’t happen by accident. It took years of iteration, close collaboration with suppliers, and a product-first mindset that treated infrastructure as a strategic advantage. Now we’re excited to share what’s next: the launch of our seventh-generation hardware platform, now featuring Crush, Dexter, and Sonic for our traditional compute, database, and storage workloads, and our newest GPU tiers, Gumby and Godzilla. To make this leap possible, we dramatically increased storage bandwidth, effectively doubled our available rack power, and introduced a next-gen storage chassis designed to even further minimize vibration and heat. This generation represents our most efficient, capable, and scalable architecture yet—and it’ll help us as we continue to build and scale helpful AI products like Dropbox Dash. Below, we’ll walk you through how we designed the latest version of our server hardware as well as key lessons we’ll carry into generations to come.https://dropbox.tech/infrastructure/seventh-generation-server-hardware
At the PGConf.dev 2025 Global Developer Conference, Bohan Zhang from OpenAI shared OpenAI’s best practices with PostgreSQL, offering a glimpse into the database usage of one of the most prominent unicorn company.https://www.pixelstech.net/article/1747708863-openai%3a-scaling-postgresql-to-the-next-level
A short list of common mistakes.https://wiki.postgresql.org/wiki/Don%27t_Do_This
There is a set of things that you can do when working with a Postgres database which I have found made my and my coworker's lives much more pleasant. Each one is by itself small, but in aggregate have a noticeable effect.https://mccue.dev/pages/3-11-25-life-altering-postgresql-patterns
The ClickPipes team had encountered a bug with logical replication slot creation on Postgres read replicas—specifically, an issue where a query that was already taking hours rather than the few seconds it usually took couldn’t be terminated by any of the usual methods in Postgres, causing customer frustration and risking the stability of production databases. In this blog post, I’ll walk through how I investigated the problem and ultimately discovered it was due to a Postgres bug. We’ll also share how we fixed it and our experience working with the Postgres community.https://clickhouse.com/blog/sigterm-postgres-mystery
Generate Terraform moved blocks automatically for painless refactoringhttps://github.com/busser/tfautomv
Demystifying the most common misconception in Service Level jargonhttps://blog.alexewerlof.com/p/sla-vs-slo
ktea is a tool designed to simplify and accelerate interactions with Kafka clusters.https://github.com/jonas-grgt/ktea
