5 repository-uri
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.
Explore 5 awesome GitHub repositories matching devops & infrastructure · Cloud-Native Microservices. Refine with filters or upvote what's useful.
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 este un toolchain pentru aplicații distribuite .NET și un orchestrator de aplicații cloud-native. Acesta oferă un stack de dezvoltare code-first pentru construirea, rularea și deployment-ul aplicațiilor distribuite, gestionând în mod specific coordonarea mai multor servicii în diferite limbaje de programare. Toolchain-ul se distinge printr-o abordare programatică a topologiilor de servicii, folosind o metodologie code-first pentru a defini modul în care serviciile, containerele și bazele de date se interconectează. Gestionează ciclul de viață al containerelor terțe ca resurse și traduce aceste modele programatice de aplicație în configurații de deployment specifice platformei pentru medii cloud. Proiectul include capabilități pentru descoperirea dinamică a serviciilor, coordonarea build-ului aplicațiilor distribuite și executarea locală a aplicațiilor printr-o interfață în linie de comandă. De asemenea, integrează un dashboard de observabilitate și un sistem de monitorizare bazat pe standardele OpenTelemetry pentru a urmări starea și performanța componentelor distribuite.
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.