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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
Will the "Code Orange" help Cloudflare? https://blog.cloudflare.com/fail-small-resilience-plan/

Open Source Marketplace For Developer Tools https://github.com/alexellis/arkade

Cloudflare, again
Cloudflare, again

This paper delves into disaster recovery architectures that go beyond simple high availability to ensure systems remain operational even when HA fails. Yakaiah Bommishetti outlines various DR strategies, from cold backups to active-active multi-site setups, emphasizing the critical difference between preventing failures and restoring services after a catastrophe. https://hackernoon.com/beyond-high-availability-disaster-recovery-architectures-that-keep-running-when-ha-fails

This post compares Amazon EKS Auto Mode and Azure AKS Automatic, evaluating which platform offers a superior managed Kubernetes solution. While acknowledging AWS's progress, the author ultimately argues that AKS Automatic's more comprehensive, end-to-end automation makes it the clear winner for a truly hands-off experience. https://pixelrobots.co.uk/2024/12/amazon-eks-auto-mode-vs-azure-aks-automatic-the-better-managed-kubernetes-solution/

Repost from AWS Notes
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OpenYurt - Extending your native Kubernetes to edge(project under CNCF) https://github.com/openyurtio/openyurt

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle https://github.com/polyaxon/polyaxon

This dispatch offers a detailed walkthrough for backend engineers on creating a Kubernetes Operator using Go and Kubebuilder. The author, Amr Elhewy, simplifies complex DevOps concepts by building a practical "PodTracker" operator that sends Slack notifications for new pod creations. https://hewi.blog/a-backend-engineer-lost-in-the-devops-world-making-a-kubernetes-operator-with-go

This write-up explores the emerging discipline of AI Reliability Engineering (AIRe) as the "Third Age of SRE." It argues that the unique challenges of AI workloads, such as their probabilistic nature and new failure modes like model decay, require an evolution of traditional Site Reliability Engineering principles. https://thenewstack.io/ai-reliability-engineering-welcome-to-the-third-age-of-sre/

AWSDoor is a red team automation tool designed to simulate advanced attacker behavior in AWS environments https://github.com/OtterHacker/AWSDoor

The Airgap Native Packager Manager for Kubernetes https://github.com/zarf-dev/zarf

This piece, "The MTTI Manifesto," argues for the importance of a new metric in incident response: Mean Time to Isolate. The author contends that the majority of outage time is spent identifying the problem's source, not fixing it, and that focusing on MTTI can drive significant improvements in system architecture and observability. https://www.oldschoolburke.com/the-mtti-manifesto/

Repost from DevOps & SRE notes
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This article discusses the importance of the "what went well" section in incident write-ups, arguing that it's more than just a morale booster. Lorin Hochstein suggests that detailing successful improvisations and diagnostic work can be a powerful learning tool for future incident responders. https://surfingcomplexity.blog/2025/06/14/what-went-well-is-more-than-just-a-pat-on-the-back/

CDKTF ⚰️ Since December 10th https://github.com/hashicorp/terraform-cdk

Mark Tinderholt's dispatch demonstrates how to use Terraform's testing features, from examples to assertions, in real-world scenarios. The author provides a guide to setting up a testing structure that maximizes the benefits of these tools. https://www.marktinderholt.com/infrastructure-as-code/terraform/azure/cloud/2024/10/30/test-vwan.html

Asynchronous data replication for Kubernetes volumes https://github.com/backube/volsync

Intelligence for Kubernetes. World's most promising Kubernetes Visualization Tool for Developer and Platform Engineering teams. https://github.com/KusionStack/karpor