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 12 681 مشترک است و جایگاه 10 048 را در دسته فناوری و برنامهها و رتبه 2 966 را در منطقه الولايات المتحدة الأمريكية دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 12 681 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 14 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 228 و در ۲۴ ساعت گذشته برابر 6 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 15.90% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 4.81% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 2 016 بازدید دریافت میکند. در اولین روز معمولاً 610 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 5 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 15 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.
12 681
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+624 ساعت
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آرشیو پست ها
12 682
If you like this channel, you can support it. If you don't have an account in DO and what to have a simple cloud platform for development and running your project, you can register here by my referral link, https://m.do.co/c/0f8bec835d26 .
By this link, you get $200 in credit over 60 days.
12 682
The blog post elaborates on scaling Elasticsearch by optimizing the Cluster State, which isn't about the amount of data stored but the metadata's size and rate of change. The post suggests minimizing cluster state size by practices such as avoiding field overuse, distributing data across multiple clusters, and preferring fewer, larger nodes. These adjustments, alongside others like strict mappings and efficient alias usage, contribute to a more manageable and scalable Elasticsearch environment
https://sematext.com/blog/elasticsearch-scaling-cluster-state/
12 682
AWS Reference Platform for Kubernetes + Data Services for use as a starting point in upbound.io to build, run, and operate your own internal cloud platform and offer a self-service console and API to your internal teams.
https://github.com/upbound/platform-ref-aws
12 682
A better kubectl explain with the fuzzy finder
https://github.com/keisku/kubectl-explore
12 682
The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams
https://github.com/ZachGoldberg/Startup-CTO-Handbook
12 682
Optimized and Maintenance-free Kubernetes on Hetzner Cloud in one command!
https://github.com/kube-hetzner/terraform-hcloud-kube-hetzner
12 682
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
https://github.com/ByteByteGoHq/system-design-101
12 682
The article on Depot highlights the introduction of on-demand Dockerfile linting to identify common linting issues, aiming to adhere to best practices for efficient Docker image creation. It lists the top 10 prevalent linting issues observed in Depot, elaborating on each problem and providing solutions to amend them, thus serving as a resource for improving Dockerfile writing practices
https://depot.dev/blog/dockerfile-linting-issues
12 682
A set of modern Grafana dashboards for Kubernetes.
https://github.com/dotdc/grafana-dashboards-kubernetes
12 682
The blog post elucidates the author's journey with Argo Workflows, highlighting its effectiveness for infrastructure automation and its advantage over Jenkins. Through personal experiences, the author shares mistakes made, lessons learned, and certain developed patterns to assist readers in avoiding similar pitfalls. The blog's objective is to impart the acquired knowledge and patterns which are conducive to a more efficient utilization of Argo Workflows
https://hodgkins.io/argo-workflow-proven-patterns-from-production
12 682
Mutating Webhook to dynamically add tolerations based on detected image architectures
https://github.com/PeterGrace/tolerable
12 682
The blog post recounts a real-world scenario where a Kubernetes API was overwhelmed by numerous requests, detailing the troubleshooting process and the implemented solution to stabilize the system. Through creating and deploying FlowSchema and PriorityLevelConfiguration manifests, the authors were able to manage request flows efficiently, thereby restoring and optimizing the Kubernetes cluster's performance
https://blog.palark.com/kubernetes-api-flow-control-management/
12 682
The blog post discusses the application of chaos engineering to intentionally induce failures in distributed systems, aiding in assessing their resilience and improving the observability stack at Coroot. Through simulated network failures, the post explores how such disruptions can be detected in a distributed environment, providing insights into ensuring accurate identification of different failure scenarios
https://coroot.com/blog/chaos-driven-observability-spotting-network-failures
12 682
KrakenD Community Edition: High-performance, stateless, declarative, API Gateway written in Go.
https://github.com/krakend/krakend-ce
12 682
The article delves into how chaos engineering helps in proactively identifying potential system failures in modern cloud applications, thereby averting costly outages. It further elaborates on the application of chaos engineering in security testing, dubbed Security Chaos Engineering (SCE), to ensure systems respond appropriately to common threats by conducting controlled experiments that inject failures into various components like servers and database
https://www.datadoghq.com/blog/chaos-engineering-for-security/
12 682
underlay network and rdma solution of cloud native, for bare metal, VM and public cloud environment
https://github.com/spidernet-io/spiderpool
