5.4 Messaging and Event-Driven Communication

In this section

• Message Brokers and Queues: Facilitating Asynchronous Communication in Microservices
  Explore the role of message brokers and queues in microservices architecture, including implementation strategies, message schema design, and ensuring message durability.
• Event Streaming Platforms: Real-Time Data Streaming and Processing in Microservices
  Explore event streaming platforms like Apache Kafka and Amazon Kinesis, and learn how to design and implement event-driven architectures for real-time data processing in microservices.
• Publish/Subscribe Pattern: Enhancing Microservices Communication
  Explore the Publish/Subscribe Pattern in microservices, its use cases, implementation strategies, and benefits for scalable, decoupled systems.
• Competing Consumers Pattern: Enhancing Microservices Scalability and Resilience
  Explore the Competing Consumers Pattern in microservices architecture, enabling parallel processing and improving message throughput. Learn implementation strategies, message distribution, scaling, and optimization techniques.