DevOps&SRE Library
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
نمایش بیشتر📈 تحلیل کانال تلگرام DevOps&SRE Library
کانال DevOps&SRE Library (@devopslibrary) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 19 885 مشترک است و جایگاه 6 593 را در دسته فناوری و برنامهها و رتبه 33 159 را در منطقه روسيا دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 19 885 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 26 اکتبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 23 و در ۲۴ ساعت گذشته برابر -8 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 13.22% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 6.74% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 2 629 بازدید دریافت میکند. در اولین روز معمولاً 1 340 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 2 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند kubernete, cluster, infrastructure, storage, configuration تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 27 اکتبر, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
OpenKruise Agents provides best practices for managing AI agent workloads in Kubernetes. It is a sub-project of the open-source workload project OpenKruise under the Cloud Native Computing Foundation (CNCF), specifically tailored for the AI agent domain. OpenKruise Agents accelerates AI agent deployment and makes it easily accessible to both AI algorithm scientists and infrastructure engineers.https://github.com/openkruise/agents
I'm starting a series of blog posts to explore CloudNativePG (CNPG), a Kubernetes operator for PostgreSQL that automates high availability in containerized environments.https://dev.to/franckpachot/cloudnativepg-install-218-and-first-test-transient-failure-4ml
If you've ever wanted to develop a command line client for a Kubernetes API, especially if you've considered making your client usable as a kubectl plugin, you might have wondered how to make your client feel familiar to users of kubectl. In fact, the Kubernetes project provides two libraries to help you handle kubectl-style command line arguments in Go programs: clientcmd and cli-runtime (which uses clientcmd). This article will show how to use the former.https://kubernetes.io/blog/2026/01/19/clientcmd-apiserver-access
Recently, in our daily operations, we took a deep dive into the inner workings of linkerd-destination, one of the most critical components of the Linkerd control plane.https://medium.com/@bezarsnba/deep-dive-the-linkerd-destination-service-en-19f6efd1b308
If Red Hat trusts OpenShift to run the control plane for their largest infrastructure orchestrator, the same pattern should apply to your smallest.https://hashicorpengineering.substack.com/p/nomad-on-openshift-the-control-plane
How I reduced pod startup times from minutes to seconds with intelligent image preloadinghttps://medium.com/@yyadid7/from-minutes-to-seconds-how-i-eliminated-kubernetes-image-pull-delays-16f166327576
So we built a pipeline that’s intentionally “boring”: GitHub pull requests, GitHub Actions, Kubernetes, and Argo CD — split across staging and production. This post is a walkthrough of how a feature goes from a developer’s machine to real users, and why we made the choices we did.https://medium.com/openmirai/from-push-to-production-our-deployment-pipeline-with-argo-cd-00e55b3feee9
Argo CD Diff Preview is a tool that renders the diff between two branches in a Git repository. It is designed to render manifests generated by Argo CD, providing a clear and concise view of the changes between two branches. It operates similarly to Atlantis for Terraform, creating a plan that outlines the proposed changes.https://github.com/dag-andersen/argocd-diff-preview
A lightweight, extensible Kubernetes Operator that probes any endpoint—HTTP/JSON, TCP, DNS, ICMP, Trino, OpenSearch, and more—and routes alerts to Slack or e-mail with a simple Custom Resource.https://github.com/iam404/endpoint-monitoring-operator
Netfence runs as a daemon on your VM/container hosts and automatically injects eBPF filter programs into cgroups and network interfaces, with a built-in DNS server that resolves allowed domains and populates the IP allowlist.https://github.com/danthegoodman1/netfence
This blog aims to provide a practical example of how core tools like Kubernetes, Terraform, and DevContainers can be combined to build a local data platform in a structured and maintainable way.https://blog.dataengineerthings.org/building-a-local-data-platform-with-kubernetes-and-terraform-9547a4256a7f
Jenkins might feel like legacy tech, but it's still powering CI/CD at thousands of companies. Instead of ripping it out, here's how to modernize it with Kubernetes — solving cost tracking, resource isolation, and scalability problems along the way.https://blog.stackademic.com/modernizing-jenkins-from-static-agents-to-kubernetes-dynamic-pods-fbda3f897018
This article explains how Cosign, Kyverno, and Harbor can work together to enforce image signature verification in Kubernetes. The approach is well-suited for enterprise environments with private registries, custom TLS certificates, and restricted access to public transparency logs.https://medium.com/@hansakabiyon99/enforcing-signed-container-images-in-kubernetes-using-cosign-kyverno-helm-based-setup-646209ecb8ce
Operators make life easier, but they are not always an option. In this post, I'll walk through a practical way to deploy large language models on OpenShift without relying on the OpenShift AI or NVIDIA operators. The approach uses llama.cpp as a lightweight runtime engine and runs a quantized GGUF model to enable efficient inference with minimal dependencies.https://medium.com/@ahmeddraz/deploy-llm-models-on-openshift-84ecb014f09a
This article is about the patterns that actually work when you're managing real databases in Kubernetes, not hello-world demos: when your boss says "everything should be containerized" but your databases laugh in the face of ephemeral pods, and when GitOps meets a 200GB production database that absolutely cannot lose a single transaction.https://medium.com/@firaassboui/database-state-management-in-kubernetes-running-sql-server-on-aks-with-gitops-69286a87f8de
The Kubernetes story is one I hear often. Teams adopt K8s expecting operational simplicity, only to discover they've traded application complexity for infrastructure complexity. For a solo founder focused on content creation, maintaining a Kubernetes cluster was simply the wrong trade-off.https://dev.to/aws-builders/case-study-reducing-complexity-by-migrating-from-k8s-to-ecs-fargate-for-networklessons-3271
If you're running PostgreSQL on Kubernetes, chances are you've used Bitnami's popular Helm charts. They've been a go-to for many, but a significant change is on the horizon. As outlined in this GitHub issue, Bitnami is moving its production-ready charts and images to a commercial offering. For those of us who rely on and advocate for open-source solutions, this means it's time to find a robust alternative.https://k8scockpit.tech/posts/cloudnative-pg
