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所在平台: Udemy |
课程主页: https://www.udemy.com/course/kafka-with-go/
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课程名称：使用Go掌握Kafka 课程概述： 欢迎参加“使用Go掌握Kafka：构建稳健的订单服务应用程序”课程。本课程旨在为软件工程师、开发人员和架构师提供深入了解Kafka分布式消息平台的机会，并利用Go编程语言发挥其强大功能。通过实践项目，您将掌握Kafka的架构、特性以及实际应用。课程结束时，您将构建一个生产就绪的订单服务应用程序，展示如何集成Kafka以实现无缝通信、容错和可扩展性。 您将学习到： - Apache Kafka基础：主题、分区、生产者、消费者和代理。 - 本地及云端设置Kafka集群。 - 使用Golang编写Kafka生产者和消费者。 - 管理Kafka主题、分区和复制以确保高可用性。 - 实现消息序列化和反序列化（使用JSON）。 - 处理消息投递保障：最多一次、至少一次和正好一次。 - 构建订单服务的微服务架构。 - 使用Kafka流处理实时订单和事件。 - 将Kafka与数据库集成以存储订单数据。 - 调试和监控Kafka应用程序。 课程结构： 1. Kafka与Golang简介 - Kafka的定义及分布式消息系统概述。 - 使用Golang与Kafka的优势及应用场景。 2. 环境设置 - 本地安装Kafka和Zookeeper。 - 设置Go开发环境，并安装Golang的Kafka库。 3. Kafka基础 - 理解Kafka主题、分区和偏移量。 - 配置Kafka生产者和消费者。 - 使用Golang编写第一个生产者和消费者。 4. 高级Kafka概念 - 处理JSON和Avro的消息序列化。 - 消息投递语义：最多一次、至少一次和正好一次。 - 管理Kafka主题与分区。 5. 构建订单服务应用 - 设计订单服务架构。 - 使用Golang实现订单API。 - 集成Kafka以发布和消费订单事件。 - 实现错误处理和重试机制。 6. 扩展订单服务 - 添加分区以扩展Kafka消费者。 - 利用Kafka流进行实时订单处理。 - 在数据库（PostgreSQL或MongoDB）中存储订单数据。 7. 监控与调试 - 使用Prometheus和Grafana进行Kafka监控。 - 调试Kafka应用中的常见问题。 - 优化Kafka与Golang性能的最佳实践。 8. 部署生产环境 - 使用Docker对订单服务进行容器化。 - 将Kafka和订单服务部署到Kubernetes。 - 确保高可用性和容错性。 最终项目：构建和部署生产就绪的订单服务 - 开发一个功能全面的订单服务应用。 - 演示使用Kafka进行实时订单处理。 - 将应用部署到云环境中。 适合人群： - 对学习Kafka和Golang感兴趣的软件开发人员。 - 建设分布式系统和微服务的后端工程师。 - 设计可扩展和可靠系统的架构师。 - 任何对实时数据处理有兴趣的人士。 课程要求： - 具备基本的Golang编程知识。 - 熟悉REST API和微服务。 - 对分布式系统的基本理解有帮助，但不是必需的。 涵盖工具与技术： - Apache Kafka - Golang - Docker - MongoDB - JSON消息序列化 立即注册： 不要错过使用Golang掌握Kafka并构建可扩展订单服务应用的机会。立即注册，迈出软件开发之路的下一步！
Course DescriptionWelcome to "Mastering Kafka with Golang: Building a Robust Order Service Application." This comprehensive course is designed for software engineers, developers, and architects who want to dive deep into Kafka's distributed messaging platform and leverage its power using the Go programming language. Through practical and hands-on projects, you will gain a strong foundation in Kafka's architecture, features, and real-world applications.By the end of this course, you will have built a production-ready Order Service application, showcasing how to integrate Kafka for seamless communication, fault tolerance, and scalability.What You'll LearnFundamentals of Apache Kafka: Topics, partitions, producers, consumers, and brokers.Setting up a Kafka cluster locally and in the cloud.Writing Kafka producers and consumers using Golang.Managing Kafka topics, partitions, and replication for high availability.Implementing message serialization and deserialization with JSON.Handling message delivery guarantees: at-most-once, at-least-once, and exactly-once.Building a microservice architecture for the Order Service.Processing real-time orders and events using Kafka streams.Integrating Kafka with databases for storing order data.Debugging and monitoring Kafka applications.Course StructureSection 1: Introduction to Kafka and GolangWhat is Kafka? Overview of distributed messaging systems.Why use Golang with Kafka? Benefits and use cases.Course overview and application walkthrough.Section 2: Setting Up Your EnvironmentInstalling Kafka and Zookeeper locally.Setting up Go development environment.Installing Kafka libraries for Golang.Section 3: Kafka FundamentalsUnderstanding Kafka topics, partitions, and offsets.Configuring Kafka producers and consumers.Writing your first producer and consumer in Golang.Section 4: Advanced Kafka ConceptsHandling message serialization with JSON and Avro.Message delivery semantics: at-most-once, at-least-once, and exactly-once.Managing Kafka topics and partitions.Section 5: Building the Order Service ApplicationDesigning the Order Service architecture.Implementing the Order API with Golang.Integrating Kafka for publishing and consuming order events.Implementing error handling and retries.Section 6: Scaling the Order ServiceAdding partitions for scaling Kafka consumers.Using Kafka Streams for real-time order processing.Storing order data in a database (PostgreSQL or MongoDB).Section 7: Monitoring and DebuggingSetting up Prometheus and Grafana for Kafka monitoring.Debugging common issues in Kafka applications.Best practices for optimizing Kafka and Golang performance.Section 8: Deploying to ProductionContainerizing the Order Service with Docker.Deploying Kafka and Order Service to Kubernetes.Ensuring high availability and fault tolerance.Final Project: Build and Deploy a Production-Ready Order ServiceDevelop a fully functional Order Service application.Demonstrate real-time order processing with Kafka.Deploy the application to a cloud environment.Who This Course is ForSoftware developers interested in learning Kafka and Golang.Backend engineers building distributed systems and microservices.Architects designing scalable and reliable systems.Anyone interested in real-time data processing.PrerequisitesBasic knowledge of Golang programming.Familiarity with REST APIs and microservices.Fundamental understanding of distributed systems is helpful but not required.Tools and Technologies CoveredApache KafkaGolangDockerMongoDBJSON for message serializationEnroll NowDon't miss this opportunity to master Kafka with Golang and build a scalable Order Service application. Enroll now and take the next step in your software development journey!
