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 12 668 مشترک است و جایگاه 10 041 را در دسته فناوری و برنامهها و رتبه 2 974 را در منطقه الولايات المتحدة الأمريكية دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 12 668 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 12 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 218 و در ۲۴ ساعت گذشته برابر 3 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 16.84% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 4.90% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 2 132 بازدید دریافت میکند. در اولین روز معمولاً 620 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 4 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 13 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.
12 668
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+324 ساعت
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12 669
Terminal JSON viewer & processor
https://github.com/antonmedv/fx
#JSONViewer #TerminalTools #DataProcessing
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Test generation for Developers. Generate tests and stubs for your application that actually work!
https://github.com/keploy/keploy
#TestAutomation #SoftwareDevelopment #DevTools
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Discover the potential pitfalls of using Helm in your Kubernetes deployments. This article highlights five key shortcomings of Helm, providing valuable insights to help you navigate and mitigate these challenges effectively. Enhance your deployment strategies by understanding the limitations and best practices associated with this popular tool.
#Kubernetes #Helm #DevOps
https://glasskube.eu/en/r/knowledge/5-helm-shortcomings/
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Learn how integrating KEDA with Kafka can significantly enhance performance, achieving up to a 62.15% improvement during peak loads. This article delves into the methods and benefits of combining these powerful technologies to optimize your system's efficiency and reliability.
#KEDA #Kafka #PerformanceOptimization
https://kedify.io/resources/blog/keda-kafka-improve-performance-by-62-15-at-peak-loads
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Enabling Kubernetes to make pod placement decisions with platform intelligence.
https://github.com/intel/platform-aware-scheduling
#Kubernetes #PodPlacement #IntelligentScheduling
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kpexec is a kubernetes cli that runs commands in a container with high privileges.
#Kubernetes #CLI #ContainerManagement
https://github.com/ssup2/kpexec
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Selecting the right orchestrator for a multi-tenant code execution system is a critical decision that can impact performance, scalability, and security. This article provides an in-depth analysis of various orchestrator options, evaluating their strengths and weaknesses to help you make an informed choice for your system.
#Orchestration #CloudComputing #DevOps
https://dev.to/oo00oo00oo00/choosing-an-orchestrator-for-multi-tenant-code-execution-system-pmm
12 669
Explore the diverse landscape of server architectures in this insightful article. Learn about the various configurations, their advantages, and how to choose the best setup for your specific needs. Whether you are dealing with on-premises servers, cloud-based solutions, or hybrid environments, this guide provides valuable information to help you make informed decisions.
#ServerArchitecture #CloudComputing #ITInfrastructure
https://mattweidner.com/2024/06/04/server-architectures.html
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The missing glue to put together large Kubernetes deployments, composed of multiple smaller parts (Helm/Kustomize/...) in a manageable and unified way.
#Kubernetes #DevOps #DeploymentAutomation
https://github.com/kluctl/kluctl
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kubenav is the navigator for your Kubernetes clusters right in your pocket.
#KubernetesNavigator #ClusterManagement #DevOpsTools
https://github.com/kubenav/kubenav
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A cloud native Kubernetes Global Balancer
https://github.com/k8gb-io/k8gb
#Kubernetes #GlobalLoadBalancer #CloudNative
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Achieving high availability and reliability in database systems is crucial for any online service. This article delves into the strategies and methodologies employed to ensure 99.999% uptime while performing zero-downtime data migrations. It highlights the innovative approaches and technologies that facilitate seamless transitions and uninterrupted service for users.
#DatabaseReliability #ZeroDowntime #HighAvailability
https://stripe.com/blog/how-stripes-document-databases-supported-99.999-uptime-with-zero-downtime-data-migrations
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Explore the top tools for Kubernetes development that streamline workflows, enhance productivity, and simplify container orchestration. These essential tools are designed to support developers in creating, testing, and managing Kubernetes applications effectively.
https://semaphoreci.com/blog/kubernetes-development-tools
#Kubernetes #DevOps #DevelopmentTools
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Maintaining control over Kubernetes clusters is essential for enforcing policies and ensuring compliance. This article by Yodamad explores how Kyverno, a Kubernetes-native policy engine, can help you manage and secure your clusters effectively. Learn about the features, benefits, and best practices for using Kyverno to automate policy enforcement and maintain a well-governed Kubernetes environment.
#Kubernetes #PolicyManagement #Kyverno
https://yodamad.hashnode.dev/keep-your-cluster-under-control-with-kyverno
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Your AI Kubernetes Expert
https://github.com/knight42/kopilot
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The terraform controller manages the life cycles of a terraform resource, allowing developers to self-serve dependencies in a controlled manner.
https://github.com/appvia/terranetes-controller
#Terraform #Kubernetes #DevOps #InfrastructureAsCode
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Running an active-active multi-region Kubernetes application is crucial for achieving high availability and fault tolerance. This AWS blog post explores how to use App Mesh and Amazon EKS to build and manage such an application across multiple regions. Learn about the architecture, setup, and best practices for ensuring seamless operation and resilience in a globally distributed Kubernetes environment.
#Kubernetes #MultiRegion #AWSAppMesh
https://aws.amazon.com/blogs/containers/run-an-active-active-multi-region-kubernetes-application-with-appmesh-and-eks/
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Learn how to streamline your deployment previews with faster data imports, enhancing the efficiency and reliability of your development process. This method ensures smoother and quicker testing cycles for your applications.
https://engineering.theblueground.com/faster-data-imports-in-deployment-previews/
#DataImport #Deployment #DevOps
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Discover how to optimize your web content delivery by leveraging Lambda@Edge and CloudFront for geolocation-based redirection. This approach enhances user experience by ensuring visitors are served region-specific content seamlessly.
https://newsletter.simpleaws.dev/p/lambda-edge-cloudfront-geolocation-redirect
#AWS #CloudFront #LambdaAtEdge
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Automated management of large-scale applications on Kubernetes.
https://github.com/openkruise/kruise
