DevOps&SRE Library
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام DevOps&SRE Library
تُعد قناة DevOps&SRE Library (@devopslibrary) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 19 875 مشتركاً، محتلاً المرتبة 6 610 في فئة التكنولوجيات والتطبيقات والمرتبة 33 156 في منطقة روسيا.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 19 875 مشتركاً.
بحسب آخر البيانات بتاريخ 27 أكتوبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 19، وفي آخر 24 ساعة بمقدار -2، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 13.30%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 6.75% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 2 644 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 342 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 2.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل kubernete, cluster, infrastructure, storage, configuration.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 28 أكتوبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
OpenRun is an Apache-2.0 licensed open source web app deployment platform for deploying internal tools. OpenRun makes it easy to declaratively deploy containerized web apps. OpenRun can deploy apps on a single-node or onto a Kubernetes cluster. OpenRun provides declarative GitOps based blue-green deployment, OAuth/OIDC/SAML access controls, TLS certs & secrets management. OpenRun is built for teams to easily deploy internal tools, with full RBAC support. OpenRun apps are deployed directly from the git repo, no build server required. OpenRun scales idles apps down to zero and supports atomic updates across multiple apps.https://github.com/openrundev/openrun
Chainloop is an open-source evidence store for your Software Supply Chain attestations, Software Bill of Materials (SBOMs), VEX, SARIF, QA reports, and more. With Chainloop, Security, Compliance, and Risk management teams can define security and compliance policies, what evidence and artifacts they want to receive, and where to store them. On the other hand, developers are shielded from all this complexity by being given simple instructions on what to provide when instrumenting their CI/CD pipelines.https://github.com/chainloop-dev/chainloop
This article walks through a production deployment that solves all of the above using llm-d for intelligent inference scheduling, Istio as a Gateway API provider with Inference Extension support, and LiteLLM as a unified API gateway.https://medium.com/@prasannanattuthurai/serving-multiple-llms-on-kubernetes-with-intelligent-routing-using-llm-d-istio-and-litellm-7d33760d1001
Step-by-step guide to deploying a private Amazon EKS cluster with zero public API exposure, self-hosted OpenVPN access, kube-prometheus-stack monitoring, and Route 53 private DNS — all automated with Terraform.https://dev.to/aws-builders/building-a-production-grade-private-eks-cluster-with-openvpn-prometheus-grafana-419
Here we’ll walk through a small, concrete demo where a single hub control plane actively reconciles cert-manager.io/v1 Certificate resources across multiple downstream clusters, issues TLS Secrets, and does so safely from multiple controller replicas without relying on leader election.https://medium.com/@zach.dsmith/a-hub-style-multi-cluster-cert-manager-control-plane-d568ea334998
In this post, we'll take a polyglot microservice app from local source code to a production Kubernetes cluster with TLS, Auth0 login, and Stripe webhooks — all working end-to-end. No cloud staging environment. No Docker Compose. No YAML by hand.https://dev.to/jeffvincent/from-source-to-production-with-oauth-the-full-kindling-flow-1i73
A practical guide to packaging kong custom plugins as Helm charts, deploying them as ConfigMaps, and automating releases with GitHub Actionshttps://medium.com/@shambhand2020/installing-kong-gateway-custom-plugins-on-kubernetes-using-helm-charts-b6d6f3434c3a
In this article we explain how we built a new observability platform over the span of approximately two years to address a variety of problems.https://blog.ah.technology/observability-at-albert-heijn-d901f4caac8a
⏺ Эволюция инструментов: расскажем, почему старые подходы не работают и как выбрать современное решение. ⏺ Бизнес-драйверы: обсудим, как бизнес-задачи определяют тренды развития мониторинга. ⏺ Эпоха ИИ: покажем, как ИИ помогает автоматизировать процессы и анализировать данные. ⏺ «Астра Мониторинг»: продемонстрируем решение, которое позволяет не просто видеть, а предвидеть. Приходите, чтобы узнать, как сделать ваши ИТ-системы прозрачными, управляемыми и надежными.🔗 Зарегистрироваться на вебинар
How we eliminated crash loops and hundreds of errors and why “high availability” was making everything worse.https://medium.com/@j.aslanov94/why-your-grafana-is-slow-on-kubernetes-and-3-replicas-wont-fix-it-f375527de85a
A few years ago, Roland Huss and I wrote Kubernetes Patterns, a catalogue of repeatable solutions for building cloud-native applications on Kubernetes. The book covers patterns across six categories: foundational, behavioral, structural, configuration, security, and advanced, everything from health probes and init containers to controllers, operators, and elastic scaling. Recently, Roland and Daniele Zonca co-authored a new book, Generative AI on Kubernetes, which covers the operational side of running LLMs on Kubernetes. I was a reviewer on that book, and the more I read through it, the more I recognized patterns from our original work, just applied to a very different class of workload. Deployments, StatefulSets, Init Containers, DaemonSets. They were all there. Just with bigger numbers. Here is a high-level summary of how Kubernetes patterns apply to LLM workloads, which Roland and I will cover in more detail in our upcoming KubeCon + CloudNativeCon Europe 2026 talk in Amsterdam.https://generativeprogrammer.com/p/applying-kubernetes-patterns-to-llm
Cluster API is a Kubernetes subproject focused on providing declarative APIs and tooling to simplify provisioning, upgrading, and operating multiple Kubernetes clusters. Started by the Kubernetes Special Interest Group (SIG) Cluster Lifecycle, the Cluster API project uses Kubernetes-style APIs and patterns to automate cluster lifecycle management for platform operators. The supporting infrastructure, like virtual machines, networks, load balancers, and VPCs, as well as the Kubernetes cluster configuration are all defined in the same way that application developers operate deploying and managing their workloads. This enables consistent and repeatable cluster deployments across a wide variety of infrastructure environments.https://github.com/kubernetes-sigs/cluster-api
Docker-compatible container CLI built on Apple's Containerization framework. Same commands, same flags — mocker run, ps, stop, build, compose, stats — all working on macOS 26.https://github.com/us/mocker
In this guide, I'll explain how to collect Prometheus metrics from an application running in a Kubernetes cluster and push the data to a Prometheus instance on a VM in a different geographic region using Prometheus's remote write endpoint.https://medium.com/doubleverify-engineering/a-step-by-step-guide-to-securing-observability-pipelines-using-vector-by-datadog-75417454e532
Image Trust with Cosign and Kyvernohttps://cloudsecburrito.com/signed-sealed-and-admitted
In this article we deploy ArgoCD in a bare-metal Kubernetes cluster built on Proxmox.https://ruzhnikov.substack.com/p/stateless-argocd-for-bare-metal-kubernetes
