Event Driven Archtiecture

Info

A Software Design Paradigm where components of (usually) a distributed systems communicate asynchronously through the production, reaction and consumption of events.

Map Of Content

• Key Components
• Benefits
• Challenges
• Common Tools
  • Kafka
  • RabbitMQ
  • Amazon SNS
  • NATS
• Event-Driven Models
  • Simple Event Processing
  • Event Streaming Processing
  • Complex Event Processing

🧩 When to Use EDA?

• Microservices architectures
• Systems requiring real-time processing
• Applications with asynchronous workflows
• IoT systems
• Highly scalable, decoupled environments

Key Components

• Event Producer is the component that produces an event.
• Event Consumer is the component that consumes and reacts to the event that was produced.
• Event Broker is the component that stores the event and allows for producing and consumption of events.
• Event is the actual message that is being produced and consumed.

Benefits

• Loose Coupling
• Scalability. Consumers can scale independently based on workload
• Flexibility. Easy to add or modify consumers without it affecting the producer.

Challenges

• Debugging is complicated and the flow of logic is hard to trace
• Pitfalls of Eventual Consistency
• Event Duplication. Consumers must handle this with Idempotency.
• Schema Evolution. Managing changes to the structure of events can be tricky