DevOps & SRE notes
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Helpful articles and tools for DevOps&SRE youtube: https://www.youtube.com/@DevOpsAndSRENotes
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام DevOps & SRE notes
تُعد قناة DevOps & SRE notes (@devops_sre_notes) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 13 292 مشتركاً، محتلاً المرتبة 9 509 في فئة التكنولوجيات والتطبيقات والمرتبة 2 720 في منطقة الولايات المتحدة.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 13 292 مشتركاً.
بحسب آخر البيانات بتاريخ 04 نوفمبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -43، وفي آخر 24 ساعة بمقدار 0، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 14.83%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 4.82% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 1 971 مشاهدة. وخلال اليوم الأول يجمع عادةً 641 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 10.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل kubernete, cluster, author, engineering, monitoring.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Helpful articles and tools for DevOps&SRE
youtube: https://www.youtube.com/@DevOpsAndSRENotes”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 05 نوفمبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
13 292
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أرشيف المشاركات
13 292
kubectl plugin to list allocations (cpu, memory, gpu,... X utilization, requested, limit, allocatable,...)
https://github.com/davidB/kubectl-view-allocations
13 292
Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
https://github.com/aquasecurity/trivy
13 292
Rhel compatible distribution in danger. RedHat change their policy and licenses agreements
https://www.jeffgeerling.com/blog/2023/dear-red-hat-are-you-dumb
13 292
This is a Helm plugin which map deprecated or removed Kubernetes APIs in a release to supported APIs
https://github.com/helm/helm-mapkubeapis
13 292
Debug a target container in a Kubernetes cluster by automatically creating a new, non-invasive, 'debug' container in the same pid, network, user, and ipc namespace as the target container without disrupting the target container.
https://github.com/JamesTGrant/kubectl-debug
13 292
Adrien "ZeratoR" Nougaret's annual charity event, Zevent, returned this year with a new addition called Zevent Place. Inspired by Reddit's r/place, Zevent Place is a collaborative canvas where donors can draw pixels based on the amount they donate. Developers William Traoré and Alexandre Moghrabi created the platform with several features, such as Pixel Upgrade system and real-time updates, to protect community creations and enhance user experience.
The team utilized various technologies like GraphQL, NestJS, Redis, and MinIO, and managed to handle massive amounts of updates while maintaining a low CPU and bandwidth footprint. Although there were challenges, such as unexpected rate limit errors with Cloudflare, the event achieved 98.4% uptime, with the downtime being addressed and resolved promptly.
Overall, Zevent Place was a successful project, and valuable lessons were learned throughout its development and implementation.
https://medium.com/@alexmogfr/zevent-place-how-we-handled-100k-ccu-on-a-real-time-collective-canvas-71d3d346e0ab
13 292
In this post, the author explores various load balancing algorithms, including round robin, weighted round robin, dynamic weighted round robin, and least connections. The simulations demonstrate how these algorithms perform in different scenarios, highlighting their strengths and weaknesses. Round robin performs well in terms of median latency but struggles with higher percentiles. Least connections offer a good balance between simplicity and performance but may not be optimal in terms of latency. The PEWMA algorithm, which combines techniques from dynamic weighted round robin and least connections, shows significant improvements across all latency percentiles but has additional complexity and may not handle dropped requests as well as least connections. Ultimately, the choice of load balancing algorithm depends on the specific requirements of a workload and the performance characteristics that need to be optimized.
https://samwho.dev/load-balancing/
13 292
macOS and Linux VMs on Apple Silicon to use in CI and other automations
https://github.com/cirruslabs/tart
13 292
Have you ever heard that company migrate from microservice architecture to monolith?
Moving our service to a monolith reduced our infrastructure cost by over 90%. It also increased our scaling capabilities. Today, we’re able to handle thousands of streams and we still have capacity to scale the service even further. Moving the solution to Amazon EC2 and Amazon ECS also allowed us to use the Amazon EC2 compute saving plans that will help drive costs down even further.
https://www.primevideotech.com/video-streaming/scaling-up-the-prime-video-audio-video-monitoring-service-and-reducing-costs-by-90
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rustic - fast, encrypted, deduplicated backups powered by Rust
https://github.com/rustic-rs/rustic
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Roadmapper - A Roadmap as Code (Rac) python library. Generate professional roadmap diagram using python code.
https://github.com/csgoh/roadmapper
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Efficient GPU utilization is crucial for minimizing infrastructure expenses, especially in large Kubernetes clusters running AI and HPC workloads. NVIDIA MIG enables partitioning GPUs into smaller slices, but using MIG in Kubernetes through the NVIDIA GPU Operator alone has limitations due to static configurations. Dynamic MIG Partitioning addresses these limitations by automating the creation and deletion of MIG profiles based on real-time workload requirements, ensuring optimal GPU utilization. The nos module works alongside the NVIDIA GPU Operator to implement dynamic MIG partitioning, simplifying the management of MIG configurations and reducing operational costs.
https://towardsdatascience.com/dynamic-mig-partitioning-in-kubernetes-89db6cdde7a3
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