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Канал DevOps & SRE notes (@devops_sre_notes) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 12 643 подписчиков, занимая 10 049 место в категории Технологии и приложения и 2 983 место в регионе США.

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С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 12 643 подписчиков.

Согласно последним данным от 09 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 229, а за последние 24 часа — 5, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 18.34%. В первые 24 часа после публикации контент обычно набирает 4.83% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 2 317 просмотров. В течение первых суток публикация набирает 610 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 3.
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Автор описывает ресурс как площадку для выражения субъективного мнения:
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

Благодаря высокой частоте обновлений (последние данные получены 10 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

12 643
Подписчики
+524 часа
+607 дней
+22930 день
Архив постов
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