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

📈 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 12 657 مشتركاً، محتلاً المرتبة 10 040 في فئة التكنولوجيات والتطبيقات والمرتبة 2 978 في منطقة الولايات المتحدة.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 12 657 مشتركاً.

بحسب آخر البيانات بتاريخ 11 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 228، وفي آخر 24 ساعة بمقدار 17، مع بقاء الوصول العام مرتفعاً.

حالة التحقق: غير موثّقة
معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 17.75‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 4.84‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
وصول المنشورات: يحصل كل منشور على متوسط 2 247 مشاهدة. وخلال اليوم الأول يجمع عادةً 612 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 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.

12 657

المشتركون

+1724 ساعات

+677 أيام

+22830 أيام

2 247

عرض المشاهدات

~ 61224 ساعات

~ 79248 ساعات

17.75%

معدل المشاركة

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This article provides an in-depth exploration of OpenTelemetry logs, a powerful open-source observability framework. It discusses how OpenTelemetry simplifies the collection and management of telemetry data at scale, offering developers better insights into application performance and behavior. https://manassharma.hashnode.dev/opentelemetry-logs-deep-dive

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n³ The unorthodox terminal file manager https://github.com/jarun/nnn

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An extensible framework for application-level data management on Kubernetes, Kanister is a Cloud Native Computing Foundation sandbox project and was originally created by the Veeam Kasten team. https://github.com/kanisterio/kanister

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This blog post provides an in-depth exploration of the new mseal system call introduced in Linux kernel 6.10. The mseal syscall implements "memory sealing," allowing developers to make memory regions immutable during program runtime1 . It prevents attackers from modifying sealed memory areas, even with code execution capabilities1 https://blog.trailofbits.com/2024/10/25/a-deep-dive-into-linuxs-new-mseal-syscall/

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This article details the author's experience integrating a MongoDB NoSQL database into a Kubernetes cluster and connecting it with a Spring Boot application. It provides a step-by-step guide on setting up a local Kind Kubernetes cluster, installing the MongoDB operator, creating a MongoDB cluster, and developing a Spring Boot application that interacts with the database https://medium.com/@martin.hodges/my-experience-adding-a-mongodb-no-sql-database-to-my-kubernetes-cluster-f43fe72fa0ba

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Repost from N/a

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static builds cURL with HTTP3 https://github.com/stunnel/static-curl

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PostgreSQL binary manager https://github.com/theory/pgenv

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The article demonstrates how TAR can cause a complete service outage in one zone if pods become unavailable, despite the presence of healthy pods in other zones1 . It also highlights additional limitations of TAR, such as inconsistent behavior with fewer than three pods per zone and potential conflicts with other Kubernetes features like horizontal pod autoscaling https://buoyant.io/blog/the-trouble-with-topology-aware-routing-sacrificing-reliability-to-avoid-cross-zone-traffic

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This article provides a comprehensive guide on implementing a Kubernetes webhook admission controller for custom authorization logic. It covers the process of creating an authorization service using Golang, setting up TLS certificates for secure communication, and configuring the necessary Kubernetes resources https://itnext.io/kubernetes-webhook-admission-controller-3271d041c636

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🚀 Perplexity – Your DevOps Superpower! 🔥 I use Perplexity daily for my DevOps tasks, and it’s a game-changer! 💻⚡️ 🔍 Use it instead of search – get precise, instant answers without the noise. 🤖 All-in-One AI Hub – ChatGPT, Claude, and more in a single app. Boost your workflow with smarter AI! 🚀💡 👉 🔗 Register Now 👈

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Lightweight server monitoring hub with historical data, docker stats, and alerts. https://github.com/henrygd/beszel

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Hypermedia based internal tools for teams. Application server for containerized apps. Runbook automation like Rundeck, custom apps like Retool. https://github.com/claceio/clace

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This article discusses using the Monkale CoreDNS Manager Operator to manage internal DNS in air-gapped Kubernetes (k3s) clusters. It provides a comprehensive guide on exposing k3s CoreDNS to the network, utilizing it as a DNS server, and managing DNS zones using Custom Resource Definitions (CRDs). https://itnext.io/managing-internal-dns-in-air-gapped-k3s-clusters-with-monkale-coredns-manager-operator-fa1c9136cc2c

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This blog post introduces a solution for deploying serverless Streamlit applications using Terraform on AWS. It describes a scalable architecture that leverages Amazon ECS with Fargate, CloudFront for content delivery, and a CI/CD pipeline using CodePipeline and CodeBuild. The solution aims to simplify the deployment process, allowing developers to focus on building AI-powered apps without managing infrastructure https://aws.amazon.com/blogs/devops/accelerate-serverless-streamlit-app-deployment-with-terraform/

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A static analysis tool for GitHub Actions https://github.com/woodruffw/zizmor

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Collection of Intel device plugins for Kubernetes https://github.com/intel/intel-device-plugins-for-kubernetes

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This blog post provides a comprehensive guide on selecting appropriate Postgres indexes to optimize database performance. It covers the fundamentals of indexes, their benefits and drawbacks, and offers practical advice on when and how to implement them effectively. https://pixelrobots.co.uk/2024/06/advanced-network-observability-supercharging-container-network-observability-in-azure-kubernetes-service-aks/

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This guide demonstrates how to create an event-driven image processing pipeline using AWS Lambda, S3, and Terraform. When an image is uploaded to a source S3 bucket, it triggers a Lambda function that pixelates the image in real-time and stores the processed versions in a separate S3 bucket https://deepak-tyagi.medium.com/image-pixelator-event-driven-real-time-s3-to-lambda-image-processing-workflow-using-terraform-6fb88ba5cdf5

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Experience Kubernetes Mastery Through Practice https://github.com/natrontech/kubelab