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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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📈 تحلیل کانال تلگرام DevOps & SRE notes

کانال DevOps & SRE notes (@devops_sre_notes) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 12 643 مشترک است و جایگاه 10 049 را در دسته فناوری و برنامه‌ها و رتبه 2 983 را در منطقه الولايات المتحدة الأمريكية دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 12 643 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 09 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 229 و در ۲۴ ساعت گذشته برابر 5 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 18.34% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 4.83% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 2 317 بازدید دریافت می‌کند. در اولین روز معمولاً 610 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 3 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند kubernete, cluster, author, engineering, monitoring تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
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

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 10 ژوئن, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامه‌ها تبدیل کرده‌اند.

12 643
مشترکین
+524 ساعت
+607 روز
+22930 روز
آرشیو پست ها
A terminal OpenTelemetry viewer inspired by otel-desktop-viewer https://github.com/ymtdzzz/otel-tui

This dispatch explores how eBPF maps can be used to synchronize state across multiple nodes in a Kubernetes cluster. It delves into the technical details of leveraging this capability for advanced networking and observability. https://medium.com/all-things-ebpf/ebpf-maps-state-synchronization-across-multi-node-kubernetes-cluster-d0c075810fa7

Gergely Orosz's story offers a look inside the engineering culture at Bluesky, the decentralized social media platform. He explores how a small, autonomous team is working to build a viable alternative to established networks. https://newsletter.pragmaticengineer.com/p/bluesky-engineering-culture

Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source) https://github.com/slimtoolkit/slim

Kubernetes performance and scale test orchestration framework written in golang https://github.com/kube-burner/kube-burner

Anvesh Muppeda provides a hands-on analysis of Kubernetes Endpoints and their modern, more scalable counterpart, EndpointSlices. The content uses practical examples to explain their crucial role in Kubernetes service discovery. https://medium.com/@muppedaanvesh/a-hands-on-guide-to-kubernetes-endpoints-endpointslices-%EF%B8%8F-1375dfc9075c

This report demystifies the frequently misunderstood metric of Mean Time to Resolution (MTTR). It clearly defines the four key "mean time" metrics and outlines their significance within a DevOps framework. https://www.causely.ai/blog/mttr-meaning

Chaos and resiliency testing tool for Kubernetes with a focus on improving performance under failure conditions. A CNCF sandbox project. https://github.com/krkn-chaos/krkn

Kepler (Kubernetes-based Efficient Power Level Exporter) is a Prometheus exporter that measures energy consumption metrics at the container, pod, and node levels in Kubernetes clusters. https://github.com/sustainable-computing-io/kepler

This commentary from Mercari Engineering outlines their strategy for a zero-downtime database migration. It is the first part in a series, focusing on the initial design for achieving strong data consistency. https://engineering.mercari.com/en/blog/entry/20241113-designing-a-zero-downtime-migration-solution-with-strong-data-consistency-part-i/

The concept of observability in Kubernetes is more nuanced than it might first appear. This essay argues for a deeper understanding of the unique challenges and requirements for observing applications on the platform. https://itnext.io/observability-is-not-equal-observability-in-kubernetes-1b79c4b8dc4c

Kubernetes-like control planes for form-factors and use-cases beyond Kubernetes and container workloads. https://github.com/kcp-dev/kcp

A Kubernetes web UI that is fully-featured, user-friendly and extensible https://github.com/kubernetes-sigs/headlamp

Ensuring messages are delivered in the correct sequence is a critical aspect of any chat application. This tutorial from Ably explores the architectural patterns required to achieve reliable message ordering at scale. https://ably.com/blog/chat-architecture-reliable-message-ordering

In his recent post, Peter Szasz addresses the topic of imposter syndrome for new engineering managers. He offers personal insights and practical advice for navigating this common hurdle when transitioning into a leadership role. https://peterszasz.com/managing-impostor-syndrome-as-a-new-engineering-manager/

🧹 Cleaning up images from Kubernetes nodes https://github.com/eraser-dev/eraser

🧵 CLI tool for directly patching container images! https://github.com/project-copacetic/copacetic

This guide provides a structured methodology for managing Terraform on AWS using the concept of "stacks." It demonstrates how to organize code for better reusability and maintainability across different environments. https://mattias.engineer/blog/2024/terraform-stacks-aws/

Marcin Cuber's piece tackles the common challenge of managing etcd database size in Amazon EKS. The author provides actionable advice and commands for diagnosing and fixing issues related to database bloat. https://marcincuber.medium.com/amazon-eks-managing-and-fixing-etcd-database-size-b6fb875888cb

Managing your Kubernetes clusters (including public, private, edge, etc.) as easily as visiting the Internet https://github.com/clusternet/clusternet