|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-building-enterprise-microservices-in-depth-project/
课程评论：没有评论
课程名称：企业微服务构建大师：深入项目 课程概述：本课程全面讲解了从零开始构建企业级微服务的整个过程，采用现代技术和最佳实践。通过实际项目的操作，您将获得宝贵的实践经验，涵盖以下内容： 1. **框架与API**：学习使用Spring Boot构建高效的微服务，并通过Open Feign Client管理API调用，以实现服务间的无缝通信。 2. **数据库集成**：通过JPA管理数据持久性，利用Flyway进行平滑的数据库迁移，确保数据库管理的一致性和可靠性。 3. **日志记录与监控**：实施ELK Stack（Elasticsearch、Logstash和Kibana）进行集中日志记录，并使用Micrometer、Prometheus和Grafana跟踪微服务的性能。 4. **分布式跟踪与可靠性**：通过ELK Stack和APM Server进行分布式跟踪，以确保在分布式系统中的性能监控，并在API网关中使用Bulkhead和Circuit Breaker模式增强可靠性。同时，通过Open Feign和Spring Retry为Kafka实现重试策略。 5. **异常处理与性能**：掌握Spring Boot中的异常处理，并通过Spring Boot Caching实现缓存来提升性能。 6. **容器化与部署**：利用Docker和Dockerfile对微服务进行容器化，并使用Docker Compose高效部署。 7. **API规范与事件驱动架构**：通过OpenAPI（Swagger）定义稳健的API规范，并利用Kafka构建事件驱动的微服务。 本课程旨在为学员提供实战经验，使其能够在企业环境中成功构建和管理微服务。
This comprehensive course takes you through the entire process of building enterprise-grade microservices from the ground up, using modern technologies and best practices.Throughout this course, you'll work on a hands-on project that incorporates real-world scenarios to help you gain practical experience with the following:Framework & APIs: Learn to build microservices using Spring Boot for fast and efficient application development, and manage API calls using Open Feign Client for seamless communication between services.Database Integration: Use JPA to handle data persistence and Flyway for smooth database migrations, ensuring consistent and reliable database management.Logging and Monitoring: Implement centralized logging with the ELK Stack (Elasticsearch, Logstash, and Kibana), and track your microservices' performance with Micrometer, Prometheus, and Grafana.Distributed Tracing and Reliability: Ensure robust monitoring with distributed tracing using the ELK Stack and APM Server to track performance across distributed systems, and use Bulkhead and Circuit Breaker patterns in your API Gateway to enhance reliability. Implement retry strategies with Open Feign and Spring Retry for Kafka.Exception Handling and Performance: Master exception handling with Spring Boot, and improve performance by implementing caching with Spring Boot Caching.Containerization and Deployment: Containerize your microservices with Docker and Dockerfiles, and deploy them efficiently using Docker Compose.API Specification and Event-Driven Architecture: Define robust API specifications with OpenAPI (Swagger) and build event-driven microservices using Kafka.
