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.
In Kubernetes, containers typically start with root privileges. This happens because, by default, container processes run as UID 0 unless overridden. Kubernetes does not impose a non-root policy; it inherits whatever the image defines. This isn't a bug, it's a design choice carried over from Docker. While convenient during development, it introduces unnecessary risk in production environments. If an attacker compromises the container, root access increases the likelihood of privilege escalation to the host. The Kubernetes API offers several ways to restrict container privileges using the Security Context. With it, you can control the user a container runs as, manage Linux capabilities, enforce read-only filesystems, and block privilege escalation. However, despite its importance, Security Contexts are often misunderstood or misapplied. Many teams discover these controls only after a security audit or scanner flags a running container. The next steps are usually reactively patching the config, suppressing the warning and moving on. Before we get into Kubernetes SecurityContexts, we need to understand what they're actually configuring under the hood.https://learnkube.com/security-contexts
HAMi, formerly known as 'k8s-vGPU-scheduler', is a Heterogeneous device management middleware for Kubernetes. It can manage different types of heterogeneous devices (like GPU, NPU, etc.), share heterogeneous devices among pods, make better scheduling decisions based on topology of devices and scheduling policies.https://github.com/Project-HAMi/HAMi
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
