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 19 414 suscriptores, ocupando la posición 6 946 en la categoría Tecnologías y Aplicaciones y el puesto 34 835 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 414 suscriptores.
Según los últimos datos del 12 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 166, y en las últimas 24 horas de 13, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 14.98%. 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 2 908 visualizaciones. En el primer día suele acumular 1 377 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 13 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.
UiPath Automation Suite has many services that communicate using FQDN (Fully Qualified Domain Name). As this suite operates on the premises of our customers, it provides them with the freedom to select their own FQDN. Often, the certificate required for their chosen FQDN is not signed by a known authority. To talk securely using the HTTPS protocol, all the services must trust the FQDN’s certificate. However, these services are owned by multiple teams. Asking each team to handle this individually is cumbersome and makes managing future certificate trust requests more challenging.https://engineering.uipath.com/overcoming-the-downsides-of-mutating-webhooks-our-journey-to-an-alternative-5b0fbea83c59
Multi-protocol service monitoring system with real-time alerts and web dashboard. Supports HTTP/HTTPS, TCP and gRPC monitoring with Telegram notifications.https://github.com/sxwebdev/sentinel
While migrating Pinterest’s search infrastructure — which powers core experiences for millions of users monthly — to Kubernetes, we faced a challenge in the new environment: one in every million search requests took 100x longer than usual. This post chronicles our investigation, uncovering an elusive interaction between our memory-intensive search system and a seemingly innocent monitoring process. The journey involves profiling search systems, debugging performance issues, Linux kernel features, and memory management.https://medium.com/pinterest-engineering/debugging-the-one-in-a-million-failure-migrating-pinterests-search-infrastructure-to-kubernetes-bef9af9dabf4
s3grep is a parallel CLI tool for searching logs and unstructured content in Amazon S3 buckets. It supports .gz decompression, progress bars, and robust error handling—making it ideal for cloud-native log analysis.https://github.com/dacort/s3grep
Strategies from SRE leaders fighting noisy alerts in complex system.https://rootly.com/blog/the-art-of-not-getting-woken-up-for-nothing
Terraform has two looping mechanisms for creating multiple resources, count and for_each. The count meta-argument has been around for a long time, but for_each is a relative newcomer (introduced in version 0.12). Each meta-argument allows you to create more than one resource or module with a single configuration block.https://nedinthecloud.com/2022/01/27/choosing-between-count-and-for-each
In this post I'm going to demonstrate 2 reasons I will be avoiding auto-increment fields in Postgres and MySQL in future. I'm going to prefer using UUID fields unless I have a very good reason not to.https://samwho.dev/blog/practical-problems-with-auto-increment
We're using AI to build an agentic product that works collaboratively with responders to improve incident investigations and resolve incidents faster. A bold claim, I know, and I think pretty impressive to land the word “agentic” so early on—I promise it’s the last time I use it. After six months of digging into this, I’m convinced: AI in incident response won’t just be helpful—it’ll be essential. As more software is built with, and increasingly by, AI, responders will have less and less context about the systems they’re operating. That shrinking understanding—combined with the ever-growing volume of software—only increases the need for tools that can assist. Done right, there's a huge upside in this approach too—faster incident resolution, reduced customer impact, and less cognitive burden on the folks putting out the fires. But with more automation comes a new shape of risk—much of which is captured in Lisanne Bainbridge’s 1983 paper, Ironies of automation. In the paper, Bainbridge explains that automation meant to help can paradoxically make things harder. As routine tasks get automated, human skills fade from lack of practice, so when the system fails (and they will!), responders are left underprepared and out of context. Working in tech companies, I’m yet to see these risks materialise seriously, but there are definite elements of truth here. Count the number of Kubernetes incidents where operators have no idea what’s happening and you’ll get the gist.https://incident.io/building-with-ai/avoiding-the-ironies-of-automation
¡Ya disponible! Investigación de Telegram 2025 — los principales insights del año 
