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DevOps & SRE notes

DevOps & SRE notes

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Helpful articles and tools for DevOps&SRE WhatsApp: https://whatsapp.com/channel/0029Vb79nmmHVvTUnc4tfp2F For paid consultation (RU/EN), contact: @tutunak All ways to support https://telegra.ph/How-support-the-channel-02-19

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تُعد قناة DevOps & SRE notes (@devops_sre_notes) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 12 637 مشتركاً، محتلاً المرتبة 10 049 في فئة التكنولوجيات والتطبيقات والمرتبة 2 983 في منطقة الولايات المتحدة.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 12 637 مشتركاً.

بحسب آخر البيانات بتاريخ 09 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 229، وفي آخر 24 ساعة بمقدار 5، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 18.34‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 4.83‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 2 317 مشاهدة. وخلال اليوم الأول يجمع عادةً 610 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 3.
  • 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 WhatsApp: https://whatsapp.com/channel/0029Vb79nmmHVvTUnc4tfp2F For paid consultation (RU/EN), contact: @tutunak All ways to support https://telegra.ph/How-support-the-channel-02-19

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 10 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

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Will the "Code Orange" help Cloudflare? https://blog.cloudflare.com/fail-small-resilience-plan/

Open Source Marketplace For Developer Tools https://github.com/alexellis/arkade

Cloudflare, again
Cloudflare, again

This paper delves into disaster recovery architectures that go beyond simple high availability to ensure systems remain operational even when HA fails. Yakaiah Bommishetti outlines various DR strategies, from cold backups to active-active multi-site setups, emphasizing the critical difference between preventing failures and restoring services after a catastrophe. https://hackernoon.com/beyond-high-availability-disaster-recovery-architectures-that-keep-running-when-ha-fails

This post compares Amazon EKS Auto Mode and Azure AKS Automatic, evaluating which platform offers a superior managed Kubernetes solution. While acknowledging AWS's progress, the author ultimately argues that AKS Automatic's more comprehensive, end-to-end automation makes it the clear winner for a truly hands-off experience. https://pixelrobots.co.uk/2024/12/amazon-eks-auto-mode-vs-azure-aks-automatic-the-better-managed-kubernetes-solution/

Repost from AWS Notes
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OpenYurt - Extending your native Kubernetes to edge(project under CNCF) https://github.com/openyurtio/openyurt

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle https://github.com/polyaxon/polyaxon

This dispatch offers a detailed walkthrough for backend engineers on creating a Kubernetes Operator using Go and Kubebuilder. The author, Amr Elhewy, simplifies complex DevOps concepts by building a practical "PodTracker" operator that sends Slack notifications for new pod creations. https://hewi.blog/a-backend-engineer-lost-in-the-devops-world-making-a-kubernetes-operator-with-go

This write-up explores the emerging discipline of AI Reliability Engineering (AIRe) as the "Third Age of SRE." It argues that the unique challenges of AI workloads, such as their probabilistic nature and new failure modes like model decay, require an evolution of traditional Site Reliability Engineering principles. https://thenewstack.io/ai-reliability-engineering-welcome-to-the-third-age-of-sre/

AWSDoor is a red team automation tool designed to simulate advanced attacker behavior in AWS environments https://github.com/OtterHacker/AWSDoor

The Airgap Native Packager Manager for Kubernetes https://github.com/zarf-dev/zarf

This piece, "The MTTI Manifesto," argues for the importance of a new metric in incident response: Mean Time to Isolate. The author contends that the majority of outage time is spent identifying the problem's source, not fixing it, and that focusing on MTTI can drive significant improvements in system architecture and observability. https://www.oldschoolburke.com/the-mtti-manifesto/

Repost from DevOps & SRE notes
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This article discusses the importance of the "what went well" section in incident write-ups, arguing that it's more than just a morale booster. Lorin Hochstein suggests that detailing successful improvisations and diagnostic work can be a powerful learning tool for future incident responders. https://surfingcomplexity.blog/2025/06/14/what-went-well-is-more-than-just-a-pat-on-the-back/

CDKTF ⚰️ Since December 10th https://github.com/hashicorp/terraform-cdk

Mark Tinderholt's dispatch demonstrates how to use Terraform's testing features, from examples to assertions, in real-world scenarios. The author provides a guide to setting up a testing structure that maximizes the benefits of these tools. https://www.marktinderholt.com/infrastructure-as-code/terraform/azure/cloud/2024/10/30/test-vwan.html

Asynchronous data replication for Kubernetes volumes https://github.com/backube/volsync

Intelligence for Kubernetes. World's most promising Kubernetes Visualization Tool for Developer and Platform Engineering teams. https://github.com/KusionStack/karpor