Event-driven microservices architecture is a software design approach that emphasizes the use of small, independent, and loosely-coupled services that communicate with each other via events. In this architecture, services are responsible for processing specific business events, and they communicate with each other asynchronously through event streams.
The event-driven architecture is based on the idea of an event, which is a significant occurrence in the system that other services can act on. Events can be generated by user actions, system events, or other services. Services can subscribe to specific types of events and perform actions based on them. This approach promotes decoupling and enables each service to operate independently and in isolation. In the market, there are event-driven services in the cloud: AWS Event Bridge, Azure Event Grid, and Google EventArc that provide intelligent routing and filtering capabilities to every event scenario and ensure that applications focus on core business logic rather than worrying about event routing.
- Scalability: The architecture allows for horizontal scaling of services and enables the addition or removal of services without impacting the system’s overall functionality.
- Flexibility: Each service can be developed, deployed, and maintained independently, which provides flexibility to update and modify services without impacting the entire system.
- Resilience: Since services are decoupled, failures in one service do not impact the entire system, making the system more resilient.
- Agility: The architecture enables faster development and deployment cycles due to the decoupling of services and the flexibility to make changes independently. However, implementing an event-driven microservices architecture also has some challenges.
This session is for… IT professionals, developers, software architects, or anyone interested in learning more about managing batch workflows with serverless technology. This presentation could be beneficial for individuals who are responsible for designing, building, or managing batch workflows, data pipelines, or machine learning training jobs, as well as those who are interested in leveraging the benefits of serverless architecture.