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 19 870 suscriptores, ocupando la posición 6 592 en la categoría Tecnologías y Aplicaciones y el puesto 33 022 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 870 suscriptores.
Según los últimos datos del 08 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -26, 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 12.80%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 6.49% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 544 visualizaciones. En el primer día suele acumular 1 289 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 09 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.
KubeMod is a universal Kubernetes mutating operator. It introduces ModRule - a custom Kubernetes resource that can intercept the deployment of any Kubernetes object and apply targeted modifications to it, or reject it before it is deployed to the cluster.https://github.com/kubemod/kubemod
Podinfo is a tiny web application made with Go that showcases best practices of running microservices in Kubernetes. Podinfo is used by CNCF projects like Flux and Flagger for end-to-end testing and workshops.https://github.com/stefanprodan/podinfo
ArgoCD is a fantastic tool to deploy applications via GitOps. You can defined all your kubernetes manifests in git and have ArgoCD watch them for changes. It’s a very popular product used to manage resources in kubernetes. There are a couple syncing options that you can use, automated, self health or manually sync. I would love to see some kind of approval process in the future. Let’s build one.https://systemweakness.com/waiting-for-hooks-in-argocd-e5329ec0436c
Let’s install kubecost in 1 minute and get a fine grain report of your K8S expenseshttps://medium.com/@chaisarfati/monitor-your-k8s-cluster-costs-with-kubecost-4a9d64050466
Learn key aspects of Kubernetes Pod Policies, focusing on dnsPolicy, including practical insights into configurations like ClusterFirst, Default, and more.https://decisivedevops.com/kubernetes-pod-policies-dnspolicy-1a70064ec590
Learn practical uses of terminationMessagePolicy in Kubernetes for efficient container debugging and error diagnostics.https://decisivedevops.com/kubernetes-pod-policies-terminationmessagepolicy-c073eb936ef2
When a pod is launched in Kubernetes, it starts with several policies. In this series, we will understand these policies, starting with imagePullPolicy.https://decisivedevops.com/kubernetes-pod-policies-imagepullpolicy-fd939057a93f
If you’re anything like me then using product features that you don’t fully understand always leaves you with a feeling of unease. Sure, using the feature might even be easy and cheerful at least as long as everything works as expected. We could even leave it at that. However, somewhere in between intrinsic engineering curiosity and the life experience that at some point in the future a deeper understanding will come in handy, we still have the desire to understand and debunk the magic.https://medium.com/google-cloud/whoami-the-quest-of-understanding-gke-workload-identity-federation-e951e5e4a03f
Around 4 years ago, the ELMO Infrastructure team began the Kubernetes journey which involved building out multiple production clusters across multiple AWS regions, across multiple AWS accounts. Since then we have been able to migrate almost all our applications into Kubernetes from various different places such as Amazon ECS, AWS Opsworks and datacenters. One of the biggest challenges we faced, and i’m sure everyone has faced, is ensuring that we didn’t blow out the AWS bill with our Kubernetes costs. The idea is to have the cheapest but highest performing cluster possible… it’s important to not compromise performance for cost.https://medium.com/elmo-software/kubernetes-cost-optimisation-and-savings-on-aws-88a7cf8e7469
Optimizing the use of limited AI training acceleratorshttps://towardsdatascience.com/maximizing-the-utility-of-scarce-ai-resources-a-kubernetes-approach-0230ba53965b
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, www.otus.ru, erid: 2VtzqvfVXodThis article may be useful for those who are aware of service meshes and probably trying to improve scalability and connectivity between applications in Kubernetes and other container orchestration systems, e.g., adding encryption and authorization for application connections.https://dev.to/pragmagic/testing-service-mesh-performance-in-multi-cluster-scenario-istio-vs-kuma-vs-nsm-4agj
In this article I will write about the horizontal autoscaling in kubernetes. The intended audience is the software developers and devops/SRE engineers with at least some elementary background in kubernetes interested in learning about auto-scaling. When I was learning this topic, I didn’t find a single straightforward article that explains all the relveant concepts, so I took the challenge and rolled one myself.https://medium.com/@aharon.haravon/horizontal-autoscaling-in-kubernetes-b9ef7a9f067a
