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.
Modern Kubernetes deployment methodologies have grown increasingly complex, layering abstraction upon abstraction in pursuit of flexibility. This article challenges that trajectory by examining how fundamental Unix tools combined with Makefiles can provide a more transparent and maintainable alternative to popular solutions like Helm and Kustomize.https://dev.to/avkr/replace-helm-with-kiss-456a
In today's workplace, communication tools like Slack or Microsoft Teams are essential for staying connected at work. However, as orchestration and automation needs increase, so does the volume of notifications flooding these channels. What’s meant to streamline work can quickly become overwhelming. We call it "ChatOps fatigue" - when teams get so many alerts, they start tuning them out.https://www.tines.com/blog/chatops-fatigue-how-to-create-alerts-that-matter
Super quick one I want to document here! I got myself on a side quest, again! No biggie, my ZSH shell was taking ages to load. When I say ages, more like 5+ seconds every time I opened a new terminal, that sort of thing can add up. This is just something I’ve lived with over the years, nothing has prompted this other than me wondering why it’s slow, then searching for how to profile it.https://scottspence.com/posts/speeding-up-my-zsh-shell
External Secrets is the de-facto choice for secrets management in Kubernetes clusters. It simplifies the task of the administrator(s) of the cluster, ensuring only the secrets that are explicitly defined are present and accessible. It comes with many great features but most important than all is its integration with major cloud providers. In this blog post you will learn how to deploy it without hard-coded credentials and using only the power of OpenID Connect for trust relationship between services.https://developer-friendly.blog/blog/2025/03/24/cloud-native-secret-management-oidc-in-k8s-explained/
At Freshworks, we regularly perform blue-green migrations to upgrade our EKS clusters and implement Redis-related changes with minimal disruption. In this article, we’ll walk through how we migrate approximately 900 Redis endpoints — spanning one staging region and five production regions, each with 4–5 EKS clusters — while ensuring high availability for our stateful Redis workloads. Our mission was clear: complete the migration with minimal disruption to our services while ensuring data consistency. Here’s how we tackled this complex engineering challenge and achieved near-zero downtime migrations at scale.https://medium.com/freshworks-engineering-blog/fast-k8s-upgrades-9cb60be7f93e
Insights and best practices from a real-world rollback gamedayhttps://medium.com/expedia-group-tech/lessons-from-a-rollback-gameday-4d05cf1c9524
With Yoke, you write your infrastructure definitions in Go or Rust, compile it to WebAssembly, and then you take input and output Kubernetes manifests that get applied to the cluster.https://xeiaso.net/blog/2025/yoke-k8s
RustFS is a high-performance distributed object storage software built using Rust, one of the most popular languages worldwide. Along with MinIO, it shares a range of advantages such as simplicity, S3 compatibility, open-source nature, support for data lakes, AI, and big data. Furthermore, it has a better and more user-friendly open-source license in comparison to other storage systems, being constructed under the Apache license. As Rust serves as its foundation, RustFS provides faster speed and safer distributed features for high-performance object storage.https://github.com/rustfs/rustfs
