DevOps&SRE Library
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
Show more📈 Analytical overview of Telegram channel DevOps&SRE Library
Channel DevOps&SRE Library (@devopslibrary) in the English language segment is an active participant. Currently, the community unites 19 444 subscribers, ranking 6 821 in the Technologies & Applications category and 34 364 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 444 subscribers.
According to the latest data from 06 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 69 over the last 30 days and by 2 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 12.98%. Within the first 24 hours after publication, content typically collects 7.22% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 523 views. Within the first day, a publication typically gains 1 404 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
- Thematic interests: Content is focused on key topics such as kubernete, cluster, infrastructure, storage, configuration.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
Thanks to the high frequency of updates (latest data received on 07 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
A collection of scripts for various Kubernetes tasks - Get all cluster nodes IPs and names - See all cluster nodes CPU and Memory requests and limits - Get all labels attached to all pods in a namespace - Extract and decode a secret's value - Copy secret from namespace1 to namespace2 - Get formatted list of container images in pods - etchttps://github.com/eldada/kubernetes-scripts
A reference repository of YAML with canonical and as-simple-as-possible demonstrations of kubernetes functionality and features.https://github.com/ContainerSolutions/kubernetes-examples
This project is aimed at building an abstraction framework over K8s (for app deployments) in the same vein as jQuery over Javascript or Spring over servlets. HyScale takes a simple, short Declarative definition of your service config, given the config it generates Dockerfile, Container Image, Kubernetes Manifests (YAMLs) and deploys to any Kubernetes Cluster returning back the app URL. Also it abstracts & simplifies Deployment Troubleshooting and Runtime Ops.https://github.com/hyscale/hyscale
Installs the kube-prometheus stack, a collection of Kubernetes manifests, Grafana dashboards, and Prometheus rules combined with documentation and scripts to provide easy to operate end-to-end Kubernetes cluster monitoring with Prometheus using the Prometheus Operator. Note: This chart was formerly named prometheus-operator chart, now renamed to more clearly reflect that it installs the kube-prometheus project stack, within which Prometheus Operator is only one component.https://github.com/prometheus-community/helm-charts/tree/main/charts/kube-prometheus-stack
QuakeKube is a Kubernetes-ified version of QuakeJS that runs a dedicated Quake 3 server in a Kubernetes Deployment, and then allow clients to connect via QuakeJS in the browser.
https://github.com/criticalstack/quake-kubeTL;DR: In Kubernetes resource constraints are used to schedule the Pod in the right node, and it also affects which Pod is killed or starved at times of high load. In this blog, you will explore setting resource limits for a Flask web service automatically using the Vertical Pod Autoscaler and the metrics server.https://learnk8s.io/setting-cpu-memory-limits-requests
This article is an update of my previous benchmark (2018 and 2019), now running Kubernetes 1.19 and Ubuntu 18.04 with CNI version up-to-date in August 2020.https://itnext.io/benchmark-results-of-kubernetes-network-plugins-cni-over-10gbit-s-network-updated-august-2020-6e1b757b9e49
A Kubernetes operator for automating the provisioning and management of Sentry resources via Kubernetes CRDs.https://github.com/jace-ys/sentry-operator
GitOps is a fast-growing technology movement that is being talked about more and more. Our latest e-book, by Ian Miell, a Cloud Native engineer at Container Solutions, is aimed at anyone who finds themselves unsure about how to navigate this emergent way of working and wants to know more about it.Ian Miell 2020
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