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 19 401 suscriptores, ocupando la posición 6 933 en la categoría Tecnologías y Aplicaciones y el puesto 34 700 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 401 suscriptores.
Según los últimos datos del 21 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 89, 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 14.66%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 7.20% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 845 visualizaciones. En el primer día suele acumular 1 398 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 22 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.
Run kubectl commands in all/some contexts in parallel (similar to GNU xargs+parallel)https://github.com/ahmetb/kubectl-foreach
Etcd-backup-restore is collection of components to backup and restore the etcd. It also, provides the ability to validate the data directory, so that we could know the data directory is in good shape to bootstrap etcd successfully.https://github.com/gardener/etcd-backup-restore
Deploy DynamoDB and a client app using cdk8s along with AWS Controller for Kuberneteshttps://itnext.io/write-your-kubernetes-infrastructure-as-go-code-manage-aws-services-815ecd4d1af8
In this benchmark we compared initialization time across 8 managed Kubernetes providers.https://symbiosis.host/blog/comparing-node-launch-times
Kubernetes v1.25 introduced Container Checkpointing API as an alpha feature. This provides a way to backup-and-restore containers running in Pods, without ever stopping them. This feature is primarily aimed at forensic analysis, but general backup-and-restore is something any Kubernetes user can take advantage of. So, let's take a look at this brand-new feature and see how we can enable it in our clusters and leverage it for backup-and-restore or forensic analysis.https://martinheinz.dev/blog/85
eBPF-based auto-instrumentation of HTTP/HTTPS/GRPC Go services, as well as HTTP/HTTPS services written in other languages (intercepting Kernel-level socket operations as well as OpenSSL invocations).https://github.com/grafana/beyla
Slack handles billions of inbound network requests per day, all of which traverse through our edge network and ingress load balancing tiers. In this blog post, we’ll talk about how a request flows — from a Slack’s user perspective — across the vast ether of the network to reach AWS and then Slack’s internal services. Let’s dive in!https://slack.engineering/traffic-101-packets-mostly-flow
We dive into one of Terraform's most recent features to leverage infrastructure validation.https://masterpoint.io/updates/understanding-terraform-check
What if Kubernetes was idiot-proof?https://matduggan.com/gke-google-kubernetes-engine-review
I have been the first Site Reliability Engineer (SRE) several times as a consultant or full-time employee. I’ve been the tech lead on three SRE teams and the only SRE on two others. I’ve succeeded (growing from one SRE to a team of five twice) and failed (quitting without another SRE being found). Here’s what I’ve learned about being the first SRE.https://medium.com/@hans.knechtions/being-the-first-sre-7866a22975b4
Site Reliability Engineering has emerged as one of the hottest career paths in tech in the recent years. SREs get to tackle technical challenges on complex systems at scale, and are well-compensated for their specialized skillset. From the outside, the life of an SRE might seem prestige and full of opportunity. But behind the curtain you can often find reality full of chronic stress, career stagnation, and occupational hazards. By exploring the flip side of SRE, we can make more informed decisions about our engineering careers and have realistic expectations. Whether you're an aspiring or current SRE, let's discuss darker aspects of things.https://www.codereliant.io/the-dark-side-of-sre
Terravision visualises Terraform code as live Professional Cloud Architecture Diagrams by analysing the code dynamically. Supports AWS, Google and Azure.https://github.com/patrickchugh/terravision
This is purely my perspective as a practitioner with firsthand visibility into several working solutions in my career as a software consultant. Much of the vocabulary used in this series is of my own imagination and will surely cede to better nomenclature from the community. Moreover, many implementations I have seen in practice include multiple types of patterns discussed in this series.Part 1: Module Types: https://medium.com/devoops-discourse/terraform-observed-part-1-module-types-9dec5aa9dc9f Part 2: Module Arrangement: https://medium.com/devoops-discourse/terraform-observed-part-2-module-arrangement-109d2cf517e1 Part 3: State Misconceptions & Pitfalls: https://medium.com/devoops-discourse/terraform-patterns-observed-part-3-state-misconceptions-pitfalls-e051ca1b7be9
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