اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
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
نمایش بیشتر📈 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 12 634 مشترک است و جایگاه 10 049 را در دسته فناوری و برنامهها و رتبه 2 991 را در منطقه الولايات المتحدة الأمريكية دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 12 634 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 08 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 223 و در ۲۴ ساعت گذشته برابر 7 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 19.00% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 4.69% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 2 400 بازدید دریافت میکند. در اولین روز معمولاً 593 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 09 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.
12 634
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آرشیو پست ها
12 637
Open Source Marketplace For Developer Tools
https://github.com/alexellis/arkade
12 637
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
12 637
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/
12 637
Repost from AWS Notes
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12 637
OpenYurt - Extending your native Kubernetes to edge(project under CNCF)
https://github.com/openyurtio/openyurt
12 637
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
https://github.com/polyaxon/polyaxon
12 637
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
12 637
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/
12 637
AWSDoor is a red team automation tool designed to simulate advanced attacker behavior in AWS environments
https://github.com/OtterHacker/AWSDoor
12 637
The Airgap Native Packager Manager for Kubernetes
https://github.com/zarf-dev/zarf
12 637
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/
12 637
Repost from DevOps & SRE notes
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12 637
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/
12 637
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
12 637
Asynchronous data replication for Kubernetes volumes
https://github.com/backube/volsync
12 637
Intelligence for Kubernetes. World's most promising Kubernetes Visualization Tool for Developer and Platform Engineering teams.
https://github.com/KusionStack/karpor
12 637
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
