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 19 861 suscriptores, ocupando la posición 6 598 en la categoría Tecnologías y Aplicaciones y el puesto 33 029 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 861 suscriptores.
Según los últimos datos del 11 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -34, y en las últimas 24 horas de -8, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 12.87%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 6.37% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 556 visualizaciones. En el primer día suele acumular 1 265 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 12 noviembre, 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.
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
A guide to map transformation using for loops in Terraform.https://medium.com/@akhilesh-mishra/elevate-your-terraform-game-by-leveraging-for-loops-in-terraform-5fe32e76847a
A step-by-step guide on how to provision highly scalable specific runners in AWS using Packer, Ansible, and Terraformhttps://medium.com/cloud-native-daily/immutable-infrastructure-how-to-deploy-auto-scalable-gitlab-runners-in-aws-using-packer-7b7319068872
Secret management in IaC: Learn how to manage secrets using the time_rotating resource.https://medium.com/cloud-native-daily/terraform-hidden-gems-secret-rotation-with-time-rotating-72ae8683ef7f
TLDR: On some cloud providers, you get half the CPU you expect due to burstable nodes. Without burstable nodes, overhead is improved but still significant.https://home.robusta.dev/blog/k8s-node-benchmark
