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Evolving Your Containerized REST Based Microservices to Adapt to EDA • Dhiraj Mahapatro • GOTO 2023
Learn how to evolve your containerized REST-based microservices to adopt event-driven architecture, reducing temporal coupling, improving scalability and fault tolerance, and enabling asynchronous processing.
- Event-driven architecture (EDA) enables decoupling of producers and consumers, reducing temporal coupling and improving scalability.
- EDA uses events to communicate between services, allowing for asynchronous processing and improved fault tolerance.
- Using event brokers, such as Amazon EventBridge, can help manage events and route them to the correct consumers.
- Event-driven design can be applied to existing systems, such as containerized microservices, to improve scalability and fault tolerance.
- KEDA (Kubernetes-based Event Driven Autoscaling) can be used to scale containerized applications based on event-based metrics.
- SQS (Simple Queue Service) can be used as a mechanism for handling events and scaling applications.
- Event-driven architecture can be used to integrate with third-party services and APIs.
- Using polyglot implementation, different teams can work on different services using different languages, such as Java,.NET, and TypeScript.
- Event-driven architecture can be used to reduce the area of impact in case of failures, improving overall system resilience.
- Using event-driven architecture, services can be scaled independently, improving overall system performance.
- Event-driven architecture can be used to reduce tight coupling between producers and consumers, improving overall system scalability.
- Using event brokers, such as Amazon EventBridge, can help manage events and route them to the correct consumers.
- Event-driven architecture can be used to improve fault tolerance and reduce the impact of failures.
- Using event-driven architecture, services can be scaled independently, improving overall system performance.
- Event-driven architecture can be used to reduce the area of impact in case of failures, improving overall system resilience.
- Using KEDA, containerized applications can be scaled based on event-based metrics.
- SQS can be used as a mechanism for handling events and scaling applications.
- Event-driven architecture can be used to integrate with third-party services and APIs.