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macrozheng/springcloud-learning

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6,924 Stars·2,818 Forks·Java·8 Aufrufecloud.macrozheng.com↗

Springcloud Learning

This project is a reference implementation of a distributed system built using Spring Cloud Alibaba, Spring Boot, and JDK 17. It serves as a comprehensive model for implementing a microservices architecture.

The system integrates a wide range of distributed patterns, including global transaction coordination for data consistency, OAuth2 and JWT for identity management, and Kubernetes-based container orchestration. It features a dedicated observability stack for distributed request tracing, log aggregation, and service health monitoring.

The implementation covers several functional domains, including e-commerce operations such as product inventory management, order processing, and marketing campaign execution. It also incorporates technical capabilities for asynchronous message queuing, distributed data caching, full-text search, and cloud object storage.

The project provides deployment templates for Kubernetes to manage the scaling and reliability of the microservices cluster.

Features

  • Cloud Alibaba Integrations - Serves as a reference implementation of a distributed system using Spring Cloud Alibaba and Spring Boot.
  • Spring Cloud Implementations - Provides a comprehensive reference implementation of a Spring Cloud microservices architecture.
  • Container Orchestrators - Automates the deployment, scaling, and management of containerized microservices across a host cluster.
  • Microservice Orchestrations - Orchestrates containerized microservices using a management platform to ensure reliable deployment and scaling.
  • Observability Stacks - Implements an integrated suite for collecting, storing, and visualizing telemetry data across the system.
  • Request Gateways - Provides a stateless entry point to manage client connections and route traffic to backend services.
  • Load Balancers - Distributes incoming network traffic across multiple service instances to ensure high availability and resource optimization.
  • Request Routing - Implements a central entry point that directs incoming traffic to appropriate microservices using routing logic.
  • Service Discovery - Implements mechanisms for identifying and locating microservice instances within the distributed environment.
  • Centralized Identity Management - Consolidates authentication policies and manages identity via a centralized authorization server using OAuth2 and JWT.
  • OAuth2 Client Authorization - Secures API resources through a centralized authorization server using OAuth2 and JWT token validation.
  • OAuth2 Implementations - Implements OAuth2 and JWT layers to handle authentication and authorization for distributed API resources.
  • OAuth2 Providers - Implements a centralized authorization server to manage identity and issue access tokens via OAuth2.
  • Distributed Transaction Coordinators - Manages global transaction lifecycles to ensure data consistency across multiple distributed databases.
  • Distributed Transaction Management - Implements global transaction coordination to ensure data consistency across multiple microservices.
  • Event Driven Messaging - Decouples system components through asynchronous message delivery and pub-sub patterns to handle high traffic.
  • Message Queuing Architectures - Utilizes asynchronous message routing to decouple task producers and consumers for high-volume traffic.
  • Service Discovery Registries - Maintains dynamic registries of service locations and health status to enable communication without hardcoded addresses.
  • Observability Pipelines - Includes a dedicated pipeline for aggregating logs, traces, and health metrics across distributed services.
  • E-commerce Administration Interfaces - Implements a centralized administrative interface for managing product catalogs, order processing, and marketing campaigns.
  • Marketing Campaign Executions - Manages e-commerce promotional workflows including flash sales, coupons, and curated recommendations.
  • Order Lifecycle Orchestration - Coordinates the full e-commerce order lifecycle from initial creation and payment to delivery.
  • Product Catalogs - Organizes and manages complex product listings, categories, types, and brands within a centralized catalog.
  • Distributed Caching - Implements distributed in-memory caching to reduce database load and improve response times.
  • Full Text Search - Provides high-performance full-text search capabilities by indexing large datasets using a specialized engine.
  • Non-Relational Data Storage - Persists flexible, schema-less documents in a NoSQL database to handle varied and unstructured data formats.
  • Kubernetes Cluster Orchestration - Ships configurations and templates for orchestrating the microservices cluster using Kubernetes.
  • Kubernetes Deployments - Provides deployment templates and configuration sets for running microservices on Kubernetes.
  • Circuit Breakers - Integrates circuit breakers to stop traffic to failing services and prevent cascading failures in the distributed system.
  • User Access Controls - Provides mechanisms for restricting system access based on user identity, roles, and authorization levels.
  • Centralized Configuration Systems - Distributes application settings from a central server to multiple services to ensure environment consistency.
  • Circuit Breakers - Prevents cascading failures by stopping requests to unhealthy services and providing fallback responses.
  • Administrative Dashboards - Provides a web-based interface for centralized management of backend operations and system configurations.
  • Distributed Log Aggregation - Collects and indexes application logs from multiple distributed sources into a searchable interface.
  • Distributed Tracing - Tracks the end-to-end path of requests across services to diagnose errors and performance bottlenecks.
  • Service Health Monitoring - Tracks operational status and resource usage of active service instances via a centralized dashboard.

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Häufig gestellte Fragen

Was macht macrozheng/springcloud-learning?

This project is a reference implementation of a distributed system built using Spring Cloud Alibaba, Spring Boot, and JDK 17. It serves as a comprehensive model for implementing a microservices architecture.

Was sind die Hauptfunktionen von macrozheng/springcloud-learning?

Die Hauptfunktionen von macrozheng/springcloud-learning sind: Cloud Alibaba Integrations, Spring Cloud Implementations, Container Orchestrators, Microservice Orchestrations, Observability Stacks, Request Gateways, Load Balancers, Request Routing.

Welche Open-Source-Alternativen gibt es zu macrozheng/springcloud-learning?

Open-Source-Alternativen zu macrozheng/springcloud-learning sind unter anderem: doocs/advanced-java — This project is a comprehensive Java backend engineering guide and technical reference focused on high-concurrency… yudaocode/springboot-labs — SpringBoot-Labs is a collection of educational resources and reference implementations for Java backend architecture… quarkusio/quarkus — Quarkus is a Kubernetes-native Java framework designed for building high-performance, memory-efficient applications.… apache/dubbo — Dubbo is a Java RPC framework and microservices governance platform designed for high-performance remote procedure… moleculerjs/moleculer — Moleculer is a Node.js microservices framework designed for building distributed systems. It functions as a… thinkgem/jeesite — Jeesite is a full-stack low-code development framework designed for building enterprise administrative portals using…