5 مستودعات
Packaging applications in containers to ensure consistent deployment across any cloud infrastructure provider.
Distinct from Cloud Deployment: Focuses specifically on the container-based agnostic deployment model rather than general cloud integration.
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Midway هو مجموعة من أطر عمل الخلفية لـ Node.js مصممة لبناء الخدمات المصغرة للمؤسسات وتطبيقات كاملة المكدس. يركز على بنية حقن التبعية باستخدام حاوية عكس التحكم (IoC) والمزخرفات (decorators) لتنظيم منطق الأعمال المعقد وهياكل جانب الخادم القابلة للصيانة. يوفر إطار العمل دعماً متعدد البروتوكولات لـ HTTP، وgRPC، وWebSockets، مما يسمح لبيئة واحدة بالتعامل مع متطلبات شبكات الخدمة إلى الخدمة المتنوعة. كما يتضمن طبقة محول متعددة وقت التشغيل تتيح نشر التطبيقات عبر الحاويات التقليدية ومنصات السحابة بدون خادم (serverless) المختلفة. تشمل القدرات الإضافية نظام إضافات قائم على المكونات للامتدادات النمطية، وخط أنابيب تنفيذ وسيط لمعالجة الطلبات، وأدوات لاتصال API موحد بين واجهات الواجهة الأمامية ومنطق الخلفية. يدمج النظام أيضاً التحقق من بيانات الطلب ومعالجة الأخطاء الموحدة.
Allows applications to be hosted across traditional servers, containers, and various serverless cloud platforms.
The container native, cloud agnostic serverless platform.
Abstracts cloud provider specifics so functions run identically on any cloud or on-premises infrastructure.
This project is a container orchestration workshop and DevOps learning curriculum. It provides a structured training course and instructional materials designed to teach container fundamentals and cluster orchestration. The curriculum consists of educational slides, recorded workshops, and code samples. It includes containerized sample applications and multi-service orchestration templates to demonstrate how to deploy and manage applications across different orchestration environments. The materials cover a cloud native learning path and DevOps skills development, focusing on the practical a
Uses generic container manifests to enable the same training labs to run across various cluster managers.
This is a .NET podcast application designed for managing and consuming podcast content. It functions as a cross-platform audio player and a cloud-native media service that streams podcast data and manages content submissions across different cloud providers. The project integrates machine learning services into its application logic to act as an AI-integrated content manager for automated podcast discovery and decision making. It utilizes a shared codebase to provide a unified audio playback interface across web, mobile, and desktop environments. The system includes an administrative content
Packages application logic into containers that run on any major cloud provider without modification.
This project is a declarative container orchestration standard and a vendor-neutral application model. It provides a portable configuration format for describing multi-container applications, including their services and dependencies, to enable consistent deployments across different environments. The specification focuses on cloud-agnostic deployment, allowing application definitions to be translated into platform-specific resources for various container orchestrators and cloud provider APIs, including Kubernetes. It facilitates portability from local development to production by separating
Enables consistent deployment of containerized applications across different cloud providers using a vendor-neutral model.