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 12 663 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 12 663 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.
12 663
مشترکین
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+21830 روز
آرشیو پست ها
12 667
A Private Terraform Registry
#Terraform #Registry #PrivateCloud
https://github.com/PacoVK/tapir
12 667
Terraform drift can lead to discrepancies between your infrastructure and code, posing significant challenges. This article from DragonDrop Cloud discusses the negative impacts of Terraform drift, examining the causes and potential solutions. Understand how to identify and mitigate drift to maintain consistent and reliable infrastructure.
#Terraform #InfrastructureDrift #CloudManagement
https://dragondrop.cloud/2023/08/10/terraform-drift-the-bad-the-ugly-and-the-black-swan/
12 667
Understanding how to effectively use Terraform Check is crucial for maintaining infrastructure as code. This article from Masterpoint.io provides an in-depth look at Terraform Check, explaining its purpose, functionality, and best practices. Learn how to leverage this tool to ensure your Terraform configurations are error-free and compliant with best practices.
https://masterpoint.io/updates/understanding-terraform-check/
#Terraform #InfrastructureAsCode #DevOpsTools
12 667
The easiest way to bootstrap a self-hosted High Availability Kubernetes cluster. A fully automated HA k3s etcd install with kube-vip, MetalLB, and more. Build. Destroy. Repeat.
#Kubernetes #HighAvailability #SelfHosted
https://github.com/techno-tim/k3s-ansible
12 667
The technical interview process is a crucial step in hiring top talent, especially in engineering and software development roles. This article from Semaphore CI outlines best practices for designing an effective technical interview process. Learn how to create a fair and comprehensive interview experience that accurately assesses candidates' skills, aligns with your company's needs, and promotes a positive candidate experience.
#TechnicalInterviews #HiringProcess #SoftwareEngineering
https://semaphoreci.com/blog/technical-interview-process
12 667
SaaS-simple deployment of Kubernetes - on your own hardware.
https://github.com/siderolabs/omni
12 667
KubeStellar - a flexible solution for challenges associated with multi-cluster configuration management for edge, multi-cloud, and hybrid cloud
#MultiCluster #ConfigurationManagement #EdgeComputing
https://github.com/kubestellar/kubestellar
12 667
Adopting automated testing is a critical transformation for engineering teams aiming to improve software quality and deployment speed. This article by Vaidik Kapoor explores the journey of adopting automated testing, discussing the benefits, challenges, and strategies for successful implementation. Learn how to integrate automated testing into your development pipeline to enhance efficiency, reduce errors, and accelerate delivery.
#AutomatedTesting #SoftwareQuality #DevOps
https://vaidik.in/engineering-transformations-adopting-automated-testing/
12 667
Collection of patterns, examples and resources for GitOps process design, GitOps repository structures, etc
#GitOps #Patterns #RepositoryDesign
https://github.com/cloudogu/gitops-patterns
12 667
Reducing AWS costs is a top priority for many organizations. This article from Levels.fyi explores practical strategies to slash your AWS bill. From optimizing resource utilization to leveraging cost-saving tools, learn how to implement effective measures to significantly lower your cloud expenses while maintaining performance and efficiency.
#AWS #CostOptimization #CloudSavings
https://www.levels.fyi/blog/slashing-aws-bill.html
12 667
Cascading failures can disrupt systems in unexpected ways, and even the simple task of scheduling team lunches can illustrate these complexities. This article by Jaywhy13 uses the metaphor of organizing team lunches to explain the intricacies of cascading failures in systems. Discover how these failures occur and strategies to prevent them in both technical and everyday scenarios.
#CascadingFailures #SystemDesign #TeamManagement
https://jaywhy13.hashnode.dev/cascading-failures-and-the-impossibility-of-scheduling-team-lunches
12 667
Percona Everest is a cloud-native database platform to deploy and manage enterprise-grade PostgreSQL, MongoDB and MySQL database clusters.
https://github.com/percona/everest
#CloudNative #DatabaseManagement #EnterpriseDB
12 667
Cloud-agnostic managed Kubernetes
https://github.com/berops/claudie
#Kubernetes #CloudAgnostic #ManagedServices
12 667
Debugging random node lock-ups in a Linux kernel can be a complex and daunting task. This article by Povilas Veresciakas delves into the intricate process of diagnosing and resolving such issues, providing a detailed walkthrough of the techniques and tools used to identify the root cause. Gain insights into effective debugging practices and learn how to tackle similar challenges in your own systems.
#LinuxKernel #Debugging #SystemReliability
https://povilasv.me/debugging-a-random-node-lock-up-in-a-linux-kernel/
12 667
Understanding how to optimize costs and performance using Karpenter and AWS Reserved Instances is essential for managing cloud infrastructure efficiently. This article from PerfectScale discusses the integration of Karpenter with AWS Reserved Instances, highlighting the benefits and strategies for achieving cost-effective scalability and enhanced resource utilization.
#CloudOptimization #Karpenter #AWSReservedInstances
https://www.perfectscale.io/blog/karpenter-and-aws-reserved-instances
12 667
Manage Kubernetes Operators from the command line
https://github.com/operator-framework/kubectl-operator
#Kubernetes #CLI #OperatorManagement
12 667
An operator to apply patches to Kubernetes objects in a declarative way.
https://github.com/redhat-cop/patch-operator
#Kubernetes #Operator #Patching
12 667
Integrating CI/CD pipelines with multi-architecture containers presents unique challenges and opportunities. This article from InfraCloud explores the strategies and tools necessary for building and deploying multi-architecture containers efficiently. Learn how to streamline your CI/CD processes to support diverse architectures, ensuring consistent performance and compatibility across different environments.
#CICD #MultiArchContainers #DevOps
https://www.infracloud.io/blogs/multi-arch-containers-ci-cd-integration/
12 667
Analyzing volatile memory on a Google Kubernetes Engine (GKE) node is crucial for understanding performance issues and security vulnerabilities. This article delves into the methods and tools used by Spotify's engineering team to examine and manage volatile memory effectively on GKE nodes, offering valuable insights and practical techniques for improving system reliability and performance.
#Kubernetes #MemoryAnalysis #CloudEngineering
https://engineering.atspotify.com/2023/06/analyzing-volatile-memory-on-a-google-kubernetes-engine-node/
12 667
Request-based autoscaling in Kubernetes allows for dynamic scaling of applications based on incoming traffic, including the ability to scale down to zero when no requests are present. This article by Daniele Polencic explores the concept of request-based autoscaling in Kubernetes, detailing how it works, the benefits, and implementation strategies. Learn how to efficiently manage resources by automatically scaling your applications in response to demand.
#Kubernetes #Autoscaling #CloudNative
https://dev.to/danielepolencic/request-based-autoscaling-in-kubernetes-scaling-to-zero-2i73
