📣 Event Driven Integration

Event-Driven patterns enable systems to communicate through events, promoting loose coupling and scalability. These patterns are ideal for real-time, reactive architectures.

🧠 Key Characteristics

• Asynchronous communication
• Event producers and consumers are decoupled
• High scalability and flexibility
• Kafka, Azure Event Grid, or Service Bus topics

📡 Real-Time Information Flow

Events are emitted and processed in real time using Kafka streams. Ideal for high-frequency or critical data.

Example
Real-time monitoring of temperature and humidity sensors in factories to automatically adjust production parameters.

📬 Asynchronous Event Transmission

Events are published to a topic and consumed by one or more subscribers. Enables strong decoupling between producers and consumers.

Example
When a purchase order is validated in the ERP, an event is emitted to trigger stock updates, logistics planning, and invoicing.

✅ When to Use

• Systems must react to changes in real time
• Decoupling between services is needed
• Multiple consumers need to react to the same event