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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
Больше📈 Аналитический обзор Telegram-канала DevOps & SRE notes
Канал DevOps & SRE notes (@devops_sre_notes) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 12 668 подписчиков, занимая 10 041 место в категории Технологии и приложения и 2 974 место в регионе США.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 12 668 подписчиков.
Согласно последним данным от 12 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 218, а за последние 24 часа — 3, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 16.84%. В первые 24 часа после публикации контент обычно набирает 4.90% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 2 132 просмотров. В течение первых суток публикация набирает 620 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 4.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как kubernete, cluster, author, engineering, monitoring.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“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”
Благодаря высокой частоте обновлений (последние данные получены 13 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
12 668
Подписчики
+324 часа
+667 дней
+21830 день
Архив постов
12 669
Terminal JSON viewer & processor
https://github.com/antonmedv/fx
#JSONViewer #TerminalTools #DataProcessing
12 669
Test generation for Developers. Generate tests and stubs for your application that actually work!
https://github.com/keploy/keploy
#TestAutomation #SoftwareDevelopment #DevTools
12 669
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/
12 669
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
12 669
Enabling Kubernetes to make pod placement decisions with platform intelligence.
https://github.com/intel/platform-aware-scheduling
#Kubernetes #PodPlacement #IntelligentScheduling
12 669
kpexec is a kubernetes cli that runs commands in a container with high privileges.
#Kubernetes #CLI #ContainerManagement
https://github.com/ssup2/kpexec
12 669
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
12 669
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
12 669
kubenav is the navigator for your Kubernetes clusters right in your pocket.
#KubernetesNavigator #ClusterManagement #DevOpsTools
https://github.com/kubenav/kubenav
12 669
A cloud native Kubernetes Global Balancer
https://github.com/k8gb-io/k8gb
#Kubernetes #GlobalLoadBalancer #CloudNative
12 669
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
12 669
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
12 669
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
12 669
Your AI Kubernetes Expert
https://github.com/knight42/kopilot
#Kubernetes #AI #DevOps
12 669
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
12 669
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/
12 669
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
12 669
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
12 669
Automated management of large-scale applications on Kubernetes.
https://github.com/openkruise/kruise
