5 Repos
Deployment patterns specifically for containerized microservices using Docker and Kubernetes.
Distinct from Application Cloud Deployments: Focuses on the microservices architectural pattern specifically, rather than general application cloud deployments.
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This project is a Kubernetes microservices reference architecture implemented as a functional cloud-native e-commerce demo. It serves as a distributed systems testbed designed to demonstrate cloud-native deployment patterns, orchestration, and the interaction of independent services. The system showcases a polyglot service implementation using high-performance communication via gRPC and REST. It integrates generative AI for image analysis and product recommendations, and implements a service mesh to manage traffic, security, and observability between services. The application covers e-commer
Implements a reference architecture for containerized microservices deployed and orchestrated on Kubernetes.
SpringCloud is a development platform for building distributed systems and cloud-native microservices. It provides an integrated framework for microservice development, incorporating service governance, security, and system coordination. The platform features a microservice gateway for managing traffic through dynamic routing and rate limiting, alongside a service registry for discovery. It implements distributed security through token-based authentication, role-based access control, and a specialized system that uses aspect-oriented programming to automatically enforce data-level permissions
Enables packaging and deploying services using Docker and Kubernetes for scalable cloud-native environments.
Aspire ist ein .NET-Toolchain für verteilte Anwendungen und ein Cloud-Native-Anwendungs-Orchestrator. Es bietet einen Code-First-Entwicklungsstack zum Erstellen, Ausführen und Bereitstellen verteilter Anwendungen und verwaltet insbesondere die Koordination mehrerer Dienste über verschiedene Programmiersprachen hinweg. Die Toolchain zeichnet sich durch einen programmatischen Ansatz für Dienst-Topologien aus, wobei eine Code-First-Methodik verwendet wird, um zu definieren, wie Dienste, Container und Datenbanken miteinander interagieren. Sie verwaltet den Lebenszyklus von Drittanbieter-Containern als Ressourcen und übersetzt diese programmatischen Anwendungsmodelle in plattformspezifische Deployment-Konfigurationen für Cloud-Umgebungen. Das Projekt umfasst Funktionen für dynamische Service-Discovery, Koordination von Builds verteilter Anwendungen und lokale Anwendungsausführung über eine Command-Line-Interface. Es integriert zudem ein Observability-Dashboard und ein Monitoring-System auf Basis von OpenTelemetry-Standards, um den Status und die Performance verteilter Komponenten zu verfolgen.
Implements deployment patterns for containerized microservices in cloud environments.
light-4j is a Java microservices framework designed for building scalable distributed systems. It provides a toolkit for developing cloud-native services with integrated support for service discovery, telemetry, and secure inter-service communication. The project includes a runtime OpenAPI request validator to ensure communication consistency by checking data against formal specifications. It also features an OAuth2 API security gateway for verifying identity tokens and managing credentials, alongside an event-sourcing messaging system for building command query responsibility segregation arc
Implements cloud-native deployment patterns for containerized microservices using Docker.
This repository is a learning resource and collection of hands-on exercises illustrating cloud-native architecture, microservice composition, and container design patterns for distributed environments. It provides implementation blueprints demonstrating sidecar, adapter, and ambassador patterns for applications deployed within Kubernetes containers. The materials cover traffic management capabilities such as routing requests through proxy containers, splitting traffic between production and experimental servers, enforcing rate limits, and isolating failing services using circuit breakers. Add
Provides hands-on tutorials illustrating microservice composition, traffic routing, and batch processing pipelines.