Examining Producers and Consumers

Explore the producer-consumer pattern to understand how producers generate events and consumers process them asynchronously in event-driven microservices. Learn its role in achieving scalability, fault tolerance, and eventual consistency through examples and system design considerations in .NET 7 applications.

We'll cover the following...

Relating to real-world examples
Enabling event-driven architectures
Understanding the adoption curve

The producer-consumer pattern might be more familiar under a different moniker— Publish-Subscribe or pub-sub. While the terminology might differ, the intent behind the messaging pattern is the same. There are components that produce (or publish) events, and there are components that consume (or subscribe to) events. As mentioned in The Sample Application, different mechanisms can support event-based messaging patterns.

Note: We’ve already established that we’ll be using Kafka as the primary mechanism for sourcing events, but if you’ve never used streaming technology ...

1.Introduction

2.The Sample Application

3.The Producer-Consumer Pattern

4.Message Brokers

5.Domain Model and Asynchronous Events

6.Containerization and Local Environment Setup

7.Localized Testing and Debugging of Microservices

8.Microservice Observability

9.CI/CD Pipelines and Integrated Testing

10.Fault Injection and Chaos Testing

11.Modern Design Patterns for Scalability

12.Minimizing Data Loss

13.Service and Application Resiliency

14.Telemetry Capture and Integration

15.Observability Revisited

16.Conclusion

Examining Producers and Consumers