DevOps & SRE notes

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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

EEUU2 979 Tecnologías y Aplicaciones10 047...

📈 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 12 657 suscriptores, ocupando la posición 10 047 en la categoría Tecnologías y Aplicaciones y el puesto 2 979 en la región EEUU.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 12 657 suscriptores.

Según los últimos datos del 10 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 217, y en las últimas 24 horas de 3, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 18.62%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 4.84% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 2 354 visualizaciones. En el primer día suele acumular 612 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 11 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.

12 657

Suscriptores

+324 horas

+487 días

+21730 días

2 354

Visitas de la publicación

~ 61224 horas

~ 79248 horas

18.62%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

beta

Archivo de publicaciones

12 657

In the article "Run security scans on Terraform and OpenTofu projects with Trivy and GitHub Actions," the author provides a hands-on tutorial on integrating security scans into infrastructure-as-code (IaC) workflows using Trivy and GitHub Actions. https://janik6n.net/posts/run-security-scans-on-terraform-and-opentofu-project-with-trivy-and-github-actions/

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Find directories where changed terraform_remote_state data source is used https://github.com/suzuki-shunsuke/tfrstate

12 657

An extensible framework for application-level data management on Kubernetes, Kanister is a Cloud Native Computing Foundation sandbox project and was originally created by the Veeam Kasten team. https://github.com/kanisterio/kanister

12 657

In his article "Kubernetes CRD: the versioning joy," Joel Takvorian shares the challenges encountered while evolving the CustomResourceDefinition (CRD) versions for the Network Observability operator. https://dev.to/jotak/kubernetes-crd-the-versioning-joy-6g0

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https://medium.com/@gajaoncloud/karpeneters-drift-detection-maintaining-consistency-in-your-kubernetes-cluster-cabe2a34bb49

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Automate Kubernetes Configuration Editing https://github.com/kptdev/kpt

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

12 657

In the article "The Karpenter Transformation," Nadav Buchman from Fiverr Engineering discusses the company's migration of their Kubernetes compute nodes to Karpenter, an open-source Kubernetes node lifecycle manager developed by AWS. https://medium.com/fiverr-engineering/the-karpenter-transformation-1c278294bd9b

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In December 2024, AWS introduced a visual deployment timeline feature for CloudFormation, enhancing the infrastructure-as-code service with real-time visualization of resource provisioning sequences. This timeline offers a graphical representation of the order and duration of resource deployments, providing insights into dependencies and potential bottlenecks. https://www.infoq.com/news/2024/12/cloudformation-visual-deployment/

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NVIDIA device plugin for Kubernetes https://github.com/NVIDIA/k8s-device-plugin

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Local development for AWS Lambda's and Terraform https://github.com/uatec/teleform

12 657

In the article discusses the challenges of maintaining Service Level Objectives (SLOs) in a microservices environment. The team redefined their Critical User Journeys (CUJs) and implemented end-to-end (E2E) testing to automate SLO maintenance, resulting in a 99% reduction in maintenance time and immediate impact assessment during incidents. https://engineering.mercari.com/en/blog/entry/20241204-keeping-user-journey-slos-up-to-date-with-e2e-testing-in-a-microservices-architecture/

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Lawrence Jones discusses the challenges of ensuring that an incident management system can alert its own team during outages. https://incident.io/hubs/building-on-call/who-watches-the-watchers

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Chaos snake for Kubernetes. Chaos engineering combined with a classic snake game. https://github.com/deggja/chaossnake

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Define sleep & wake up cycles for your Kubernetes resources. Automatically schedule to shutdown Deployments, CronJobs, StatefulSets and HorizontalPodAutoscalers that occupy resources in your cluster and wake them up only when you need them, reducing that way the overall power consumption. https://github.com/rekuberate-io/sleepcycles

12 657

Repost from N/a

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12 657

In this article "Solutions to the Lost Update Problem," Sönke Ruempler addresses the challenges of concurrent transactions leading to lost updates in database systems. https://ruempler.eu/2024/11/25/solutions-to-the-lost-update-problem/

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In the blogpost examined how increasing CPU utilization can lead to higher latency, affecting overall system performance. Through various experiments, they observed that as CPU usage rises, latency increases, highlighting the importance of optimizing system efficiency to maintain performance under varying loads. citeturn0search0 https://github.blog/engineering/architecture-optimization/breaking-down-cpu-speed-how-utilization-impacts-performance/

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Runbook automation platform with deep observability integrations for SRE & On-Call Teams https://github.com/DrDroidLab/playbooks

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The mighty, self-hostable Git server for the command line🍦 https://github.com/charmbracelet/soft-serve