Packt

Microservices Architecture and Communication Patterns

Packt

Microservices Architecture and Communication Patterns

包含在 Coursera Plus

深入了解一个主题并学习基础知识。
中级 等级

推荐体验

8 小时 完成
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

8 小时 完成
灵活的计划
自行安排学习进度

您将学到什么

  • Master the fundamentals of microservices communication, including synchronous, asynchronous, RESTful APIs, and gRPC.

  • Learn to implement API Gateways and patterns like BFF to optimize communication in microservices architectures.

  • Understand advanced data management techniques, such as CQRS, event sourcing, and database sharding.

  • Gain practical skills in handling microservices issues like service-to-service communication, and database bottlenecks,

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作业

7 项作业

授课语言:英语(English)
91% of learners achieved a positive career outcome

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积累特定领域的专业知识

本课程是 Microservices Architecture: Design Patterns & Principles 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。
  • 向行业专家学习新概念
  • 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5个模块

In this module, we will cover the core principles of microservices communication, focusing on key differences with monolithic systems. You will explore synchronous vs asynchronous communication and learn how to design and implement RESTful APIs for seamless service interaction.

涵盖的内容

12个视频2篇阅读材料1个作业

In this module, we will dive into API Gateway patterns, exploring how they help manage and route traffic between microservices. You’ll design and implement the e-shop architecture using API Gateways, optimizing routing and communication for different client requirements.

涵盖的内容

13个视频1个作业

In this module, we will introduce asynchronous communication and event-driven architecture (EDA), exploring how these patterns support scalability and resilience. You will design and implement a publish/subscribe model in the e-shop’s microservices to optimize communication and system performance.

涵盖的内容

7个视频1个作业

In this module, we will explore the principles and patterns of microservices data management, including how to choose the right database. You will learn about database-per-service, polyglot persistence, and scaling strategies like sharding to ensure data consistency and high performance in your microservices.

涵盖的内容

11个视频1个作业

In this module, we will discuss advanced microservices data management patterns like CQRS and event sourcing. You will learn how to separate commands and queries to improve performance and scalability, and design a system that ensures eventual consistency across distributed transactions.

涵盖的内容

8个视频1篇阅读材料3个作业

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