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 19 399 مشتركاً، محتلاً المرتبة 6 952 في فئة التكنولوجيات والتطبيقات والمرتبة 34 858 في منطقة روسيا.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 19 399 مشتركاً.
بحسب آخر البيانات بتاريخ 11 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 162، وفي آخر 24 ساعة بمقدار 13، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 15.12%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 7.09% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 2 932 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 376 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 1.
- 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 12 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
As part of an ongoing series, the Developer Experience SIG interviews organizations about their real-world OpenTelemetry Collector deployments to share practical lessons with the broader community. This post features Adobe, a global software company whose observability team has built an OpenTelemetry-based telemetry pipeline designed for simplicity at massive scale, with thousands of collectors running per signal type across the company’s infrastructure.https://opentelemetry.io/blog/2026/devex-adobe
Exports helm release, chart, and version statistics in the prometheus format.https://github.com/sstarcher/helm-exporter
The open-source, datacenter-scale inference stack. Dynamo is the orchestration layer above inference engines — it doesn't replace SGLang, TensorRT-LLM, or vLLM, it turns them into a coordinated multi-node inference system. Disaggregated serving, intelligent routing, multi-tier KV caching, and automatic scaling work together to maximize throughput and minimize latency for LLM, reasoning, multimodal, and video generation workloads.https://github.com/ai-dynamo/dynamo
This article explains how to use the In-Place Pod Resize feature in Kubernetes, combined with Kube Startup CPU Boost, to speed up Java application startup.https://piotrminkowski.com/2025/12/22/startup-cpu-boost-in-kubernetes-with-in-place-pod-resize/
This is a story about a tricky issue I resolved recently.https://dev.to/datton94/how-my-client-hit-linux-kernel-network-limits-on-aws-eks-3am5
More and more enterprises want the benefits of AI-assisted coding, automatic completions, suggestions, and inline generation, without sending their source code to external APIs. This has naturally increased interest in self-hosted coding assistants, where all inference runs on internal hardware and all models stay inside a controlled environment. We built a complete prototype of such a system. In this article, we walk through its architecture, explain how Kubernetes is used to deploy it, and how different system parameters interact to determine real-world performance. In a separate post, we study how the llama.cpp inference server behaves under increasing load.https://medium.com/@ferraricorneloup.teo/inside-a-self-hosted-ai-coding-assistant-architecture-kubernetes-deployment-and-llama-cpp-158330a12441
A personal knowledge base that turns markdown notes into a semantically-connected, AI-augmented knowledge graph. Atomic stores knowledge as atoms — markdown notes that are automatically chunked, embedded, tagged, and linked by semantic similarity. Your atoms can be synthesized into wiki articles, explored on a spatial canvas, and queried through an agentic chat interface.https://github.com/kenforthewin/atomic
Run multiple agents in parallel — each in its own container, with its own workspace, collaborating on your code or project files simultaneously.https://github.com/GoogleCloudPlatform/scion
A lightweight, single-binary OpenTelemetry viewer for local development. Visualize traces, logs, and metrics from your instrumented applications — no Docker, no databases, no complex setup.https://github.com/mesaglio/otel-front
DriftHound is a Rails WebApp that receives Terraform drift reports via API and provides visibility into infrastructure drift across your projects.https://github.com/drifthoundhq/drifthound
After successfully adopting Terraform for GitHub repository management, the next step in our Infrastructure as Code (IaC) journey was clear: dogfood our own product and manage our domains and DNS zones using the DNSimple Terraform provider.https://blog.dnsimple.com/2025/11/managing-domains-terraform-dnsimple
After a few years of writing open-source Terraform modules, I've picked up a few syntax tricks that make code safer, cleaner, and easier to maintain.https://rosesecurity.dev/2025/12/04/terraform-tips-and-tricks.html
Instead of managing node groups, installing Karpenter, configuring the VPC CNI plugin, deploying the AWS Load Balancer Controller, setting up the EBS CSI driver, and keeping all of those components updated and compatible with each other - you enable a single flag and AWS handles all of it.https://darryl-ruggles.cloud/a-complete-terraform-setup-for-eks-auto-mode-is-it-right-for-you
متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
