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Event-Driven Architecture
(EDA)

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Scale, update, and deploy loosely coupled services independently.

A modern method of application development, event-driven architecture enables the creation of highly scalable and resilient applications that can gracefully degrade and recover.

What is EDA?

At its core, event-driven architecture revolves around the concept of events—significant occurrences or notifications within a system that represent changes in state or actions that have taken place.
Event-driven architecture is an approach to building applications using loosely coupled microservices that communicate through these events.

Benefits

  • Cost-Efficiency: Add to your applications without the need for significant refactoring. With EDA, you can consume events from legacy applications while migrating to a modern cloud architecture, making the path to modernisation much faster.
  • Agility & Innovation: With EDA, new services can subscribe to events already being published without affecting current applications or requiring redevelopment. This flexibility enables businesses to introduce new features and products more rapidly, reducing the risk of disruption.
  • Fault Tolerance & Scalability: With asynchronous events, upstream systems can buffer the volume of events they are sending to downstream systems. This allows applications to scale for peaks without overwhelming any component.
  • Real-Time Insights: Legacy applications often deliver analytics through batch processing with multiple intermediate data processing stages – which may result in outdated insights. With EDA, the ability to process events in real time eliminates the need to wait for periodic reports, enabling faster decision-making.

How can it work for you?

  • Integrating heterogeneous systems When dealing with systems running on different technology stacks, you can use an EDA to enable the seamless exchange of information without creating dependencies.
  • Cross-region, cross-account data replication: Coordinate systems between teams operating in and deploying across different AWS Regions and accounts. Develop, scale, and deploy services independently using an event router to transfer data between systems.
  • Resource state monitoring and alerting: Instead of continuously checking your resources, EDA can be used to monitor and receive alerts on any anomalies, changes, and updates.
  • Fanout and parallel processing If you have many systems needing to respond to an event, EDA can be used to distribute the event without having to write custom code to push to each consumer. The event router pushes the event to the systems, each of which can process the event in parallel with a different purpose.

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