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DevOps & SRE notes

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
A terminal OpenTelemetry viewer inspired by otel-desktop-viewer https://github.com/ymtdzzz/otel-tui

This dispatch explores how eBPF maps can be used to synchronize state across multiple nodes in a Kubernetes cluster. It delves into the technical details of leveraging this capability for advanced networking and observability. https://medium.com/all-things-ebpf/ebpf-maps-state-synchronization-across-multi-node-kubernetes-cluster-d0c075810fa7

Gergely Orosz's story offers a look inside the engineering culture at Bluesky, the decentralized social media platform. He explores how a small, autonomous team is working to build a viable alternative to established networks. https://newsletter.pragmaticengineer.com/p/bluesky-engineering-culture

Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source) https://github.com/slimtoolkit/slim

Kubernetes performance and scale test orchestration framework written in golang https://github.com/kube-burner/kube-burner

Anvesh Muppeda provides a hands-on analysis of Kubernetes Endpoints and their modern, more scalable counterpart, EndpointSlices. The content uses practical examples to explain their crucial role in Kubernetes service discovery. https://medium.com/@muppedaanvesh/a-hands-on-guide-to-kubernetes-endpoints-endpointslices-%EF%B8%8F-1375dfc9075c

This report demystifies the frequently misunderstood metric of Mean Time to Resolution (MTTR). It clearly defines the four key "mean time" metrics and outlines their significance within a DevOps framework. https://www.causely.ai/blog/mttr-meaning

Chaos and resiliency testing tool for Kubernetes with a focus on improving performance under failure conditions. A CNCF sandbox project. https://github.com/krkn-chaos/krkn

Kepler (Kubernetes-based Efficient Power Level Exporter) is a Prometheus exporter that measures energy consumption metrics at the container, pod, and node levels in Kubernetes clusters. https://github.com/sustainable-computing-io/kepler

This commentary from Mercari Engineering outlines their strategy for a zero-downtime database migration. It is the first part in a series, focusing on the initial design for achieving strong data consistency. https://engineering.mercari.com/en/blog/entry/20241113-designing-a-zero-downtime-migration-solution-with-strong-data-consistency-part-i/

The concept of observability in Kubernetes is more nuanced than it might first appear. This essay argues for a deeper understanding of the unique challenges and requirements for observing applications on the platform. https://itnext.io/observability-is-not-equal-observability-in-kubernetes-1b79c4b8dc4c

Kubernetes-like control planes for form-factors and use-cases beyond Kubernetes and container workloads. https://github.com/kcp-dev/kcp

A Kubernetes web UI that is fully-featured, user-friendly and extensible https://github.com/kubernetes-sigs/headlamp

Ensuring messages are delivered in the correct sequence is a critical aspect of any chat application. This tutorial from Ably explores the architectural patterns required to achieve reliable message ordering at scale. https://ably.com/blog/chat-architecture-reliable-message-ordering

In his recent post, Peter Szasz addresses the topic of imposter syndrome for new engineering managers. He offers personal insights and practical advice for navigating this common hurdle when transitioning into a leadership role. https://peterszasz.com/managing-impostor-syndrome-as-a-new-engineering-manager/

🧹 Cleaning up images from Kubernetes nodes https://github.com/eraser-dev/eraser

🧵 CLI tool for directly patching container images! https://github.com/project-copacetic/copacetic

This guide provides a structured methodology for managing Terraform on AWS using the concept of "stacks." It demonstrates how to organize code for better reusability and maintainability across different environments. https://mattias.engineer/blog/2024/terraform-stacks-aws/

Marcin Cuber's piece tackles the common challenge of managing etcd database size in Amazon EKS. The author provides actionable advice and commands for diagnosing and fixing issues related to database bloat. https://marcincuber.medium.com/amazon-eks-managing-and-fixing-etcd-database-size-b6fb875888cb

Managing your Kubernetes clusters (including public, private, edge, etc.) as easily as visiting the Internet https://github.com/clusternet/clusternet