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DevOps & SRE notes

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📈 Análisis del canal de Telegram DevOps & SRE notes

El canal DevOps & SRE notes (@devops_sre_notes) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 12 643 suscriptores, ocupando la posición 10 049 en la categoría Tecnologías y Aplicaciones y el puesto 2 983 en la región EEUU.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 12 643 suscriptores.

Según los últimos datos del 09 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 229, y en las últimas 24 horas de 5, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 18.34%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 4.83% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 2 317 visualizaciones. En el primer día suele acumular 610 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 3.
  • Intereses temáticos: El contenido se centra en temas clave como kubernete, cluster, author, engineering, monitoring.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
Helpful articles and tools for DevOps&SRE WhatsApp: https://whatsapp.com/channel/0029Vb79nmmHVvTUnc4tfp2F For paid consultation (RU/EN), contact: @tutunak All ways to support https://telegra.ph/How-support-the-channel-02-19

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 10 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.

12 643
Suscriptores
+524 horas
+607 días
+22930 días
Archivo de publicaciones
Meta's engineering team has published a fascinating report detailing how they built a cryptographic monitoring system capable of operating at a massive scale. The document discusses the architecture and the challenges they overcame to secure their vast infrastructure. https://engineering.fb.com/2024/11/12/security/how-meta-built-large-scale-cryptographic-monitoring/

🌀 An interactive fuzzy finder for the terminal https://github.com/leo-arch/fnf

🧨 Get data in & out of Redis with RIOT https://github.com/redis/riot

This practical tutorial walks you through the delicate process of uninstalling Multus CNI from a Kubernetes cluster without causing major disruptions. Following these steps can help you avoid common pitfalls and ensure a smooth removal. https://medium.com/spectro-cloud/how-to-uninstall-multus-cni-without-borking-your-k8s-cluster-3c3825cc1dab

In this detailed write-up, the team at incident.io shares their approach to assigning ownership for errors within their monolithic architecture. This post offers valuable insights into creating clear accountability and streamlining the debugging process. https://incident.io/blog/organizing-ownership-how-we-assign-errors-in-our-monolith

👀 A Kubernetes cluster resource sanitizer https://github.com/derailed/popeye

Ultra-lightweight Kubernetes https://github.com/portainer/kubesolo

If you've ever wondered what Helm is and why it's so popular in the Kubernetes ecosystem, this excellent guide has you covered. The text breaks down the fundamentals of the package manager and explains its core concepts in an easy-to-understand way. https://glasskube.dev/blog/what-is-helm-in-kubernetes/

This new analysis from Honeycomb argues against the traditional use of incident severities, proposing a shift towards classifying incidents by type instead. It's a thought-provoking read that challenges common practices in incident management. https://www.honeycomb.io/blog/against-incident-severities-favor-incident-types

Library for managing git hooks https://github.com/greenbone/autohooks

Kubernetes controller for GitHub Actions self-hosted runners https://github.com/actions/actions-runner-controller

Mark Tinderholt's latest blogpost provides a comprehensive walkthrough on setting up a Jekyll blog using Azure Static Web Apps and Azure Storage. This piece is a great resource for anyone looking to establish a low-cost and scalable personal website. https://www.marktinderholt.com/infrastructure-as-code/terraform/azure/cloud/2024/10/24/setup-blog-jekyll-azure-storage.html

This insightful article explores the complexities of managing long-lived connections within Kubernetes, offering solutions for ensuring they remain stable and reliable. The author delves into the technical challenges and provides practical examples to overcome them. https://learnkube.com/kubernetes-long-lived-connections

Hwameistor is an HA local storage system for cloud-native stateful workloads. https://github.com/hwameistor/hwameistor

The CloudKitchens tech publication examines the powerful self-healing mechanisms built into Kubernetes. It highlights how features like readiness probes and replication controllers enable the creation of resilient, automated systems. https://techblog.cloudkitchens.com/p/kubernetes-self-healing

An AWS author provides a helpful review of using Terraform to provision and manage AWS IoT Things. The text demonstrates how to automate the lifecycle of IoT devices using infrastructure as code. https://builder.aws.com/content/2iJVs17s7drNneJiB9GdYrNszWw/using-terraform-to-create-aws-iot-things

Simple but still extremely powerful K9S alternative. An interactive explain command. Security scanning based on trivy. Supports multiple envs. Midnight commander like interface. Custom hotkeys https://github.com/pymag09/kubecui

This item serves as a practical walkthrough for managing AWS EKS Access Entries with both Terraform and OpenTofu. It provides the necessary code and configuration to streamline Kubernetes user access management. https://dev.to/aws-builders/managing-aws-eks-access-entries-with-terraform-and-opentofu-414

The Agoda Engineering team details their "private cloud first" approach to load shedding in this feature. They explain how this strategy helps protect their most critical systems by gracefully degrading services during traffic surges. https://medium.com/agoda-engineering/load-shedding-private-cloud-first-81ddd5ab53ac

Prometheus-based Kubernetes Resource Recommendations https://github.com/robusta-dev/krr