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Mastering Microservices Design with CQRS, DDD, and Marten

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Packt

Mastering Microservices Design with CQRS, DDD, and Marten

包含在 Coursera Plus

深入了解一个主题并学习基础知识。
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1 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
中级 等级

推荐体验

1 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • How to design microservices using CQRS, DDD, and Marten in a .NET environment.

  • How to implement gRPC for high-performance communication between microservices.

  • Best practices for handling cross-cutting concerns, like logging and exception handling, in microservices.

  • How to optimize microservices performance using Redis caching and Docker containers.

要了解的详细信息

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最近已更新!

January 2026

作业

9 项作业

授课语言:英语(English)

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积累特定领域的专业知识

本课程是 .NET 8 Microservices – DDD, CQRS & Clean Architecture 专项课程 专项课程的一部分
在注册此课程时,您还会同时注册此专项课程。
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  • 获得对主题或工具的基础理解
  • 通过实践项目培养工作相关技能
  • 获得可共享的职业证书

该课程共有7个模块

In this module, we will focus on developing the foundational components for Catalog.API, including infrastructure, handlers, and endpoints for CRUD operations. We'll use Marten as a transactional document database and integrate PostgreSQL using Docker for seamless data management. By the end of this section, you will be able to create and test CRUD operations for your Catalog API.

涵盖的内容

26个视频2篇阅读材料1个作业

In this module, we will address various cross-cutting concerns in Catalog.API, including validation, exception handling, and logging. We will introduce MediatR and Fluent Validation for automatic request validation and demonstrate how to handle global exceptions. By the end of this section, you'll have a robust, maintainable Catalog API with improved reliability and error management.

涵盖的内容

21个视频1个作业

In this module, we will explore how to design Basket microservices with Vertical Slice Architecture and implement CQRS using MediatR. We will focus on building and testing features like GetBasket, StoreBasket, and DeleteBasket, while utilizing Marten for data management. You will also learn how to containerize and orchestrate Basket microservices using Docker and Docker-Compose for seamless deployment.

涵盖的内容

25个视频1个作业

In this module, we will enhance the performance of Basket microservices by integrating Redis for distributed caching. You will learn how to implement the cache-aside pattern and use Docker-Compose to orchestrate both PostgreSQL and Redis for a scalable microservices architecture. By the end of this section, you will have a high-performing, fault-tolerant Basket microservice.

涵盖的内容

15个视频1个作业

In this module, we will focus on synchronous communication in microservices using gRPC. You will learn about the benefits of gRPC, how it works, and its role in enabling efficient communication between services. By the end of this section, you will be able to leverage gRPC for high-performance, real-time interactions between microservices.

涵盖的内容

5个视频1个作业

In this module, we will design and develop Discount.Grpc microservices, exposing CRUD operations for managing discounts via gRPC. You will also learn how to generate service classes from the discount.proto file and configure the service in your microservices solution. By the end of this section, you'll be able to implement and test gRPC communication for discount management.

涵盖的内容

20个视频1个作业

In this module, we will focus on consuming the Discount gRPC service from the Basket microservice when adding items to the cart. You will learn how to configure and test this integration in a Docker environment, ensuring that discounts are correctly applied during checkout. By the end of this section, you'll be able to integrate and verify gRPC communication between Basket and Discount microservices.

涵盖的内容

8个视频1篇阅读材料3个作业

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