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DevOps & SRE notes

DevOps & SRE notes

前往频道在 Telegram

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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📈 Telegram 频道 DevOps & SRE notes 的分析概览

频道 DevOps & SRE notes (@devops_sre_notes) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 12 637 名订阅者,在 技术与应用 类别中位列第 10 049,并在 美国 地区排名第 2 983

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 12 637 名订阅者。

根据 09 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 229,过去 24 小时变化为 5,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 18.34%。内容发布后 24 小时内通常能获得 4.83% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 2 317 次浏览,首日通常累积 610 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 3
  • 主题关注点: 内容集中在 kubernete, cluster, author, engineering, monitoring 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
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

凭借高频更新(最新数据采集于 10 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

12 637
订阅者
+524 小时
+607
+22930
帖子存档
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

This post by Brian Chambers reflects on the lessons learned from launching an edge compute platform at Chick-fil-A. It discusses the challenges and successes of developing and scaling the platform from within the Enterprise Architecture team. https://medium.com/chick-fil-atech/what-we-learned-from-launching-edge-compute-from-enterprise-architecture-1dc34e49482f

DevOps & SRE notes - Telegram 频道 @devops_sre_notes 的统计与分析