Event-Driven Architecture
Instructions
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System design
- •Identify event producers, consumers, and brokers
- •Define asynchronous communication boundaries
- •Ensure loose coupling between microservices
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Kafka fundamentals
- •Create and manage Kafka topics
- •Configure partitions and replication factors
- •Implement producers and consumers
- •Handle offsets, retries, and error scenarios
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Pub/Sub patterns
- •Apply publish/subscribe for inter-service communication
- •Design fan-out and event streaming use cases
- •Ensure idempotent event handling
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Platform setup
- •Work with Redpanda Cloud or self-hosted Kafka clusters
- •Configure local and cloud-based environments
- •Secure Kafka with authentication and authorization
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Dapr integration
- •Use Dapr Pub/Sub with Kafka or Redpanda
- •Implement State Management for event-driven workflows
- •Use Bindings for external systems
- •Manage Secrets securely
- •Enable Service Invocation for sync calls when required
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Event contracts
- •Design clear event schemas (JSON, Avro, or Protobuf)
- •Version events safely without breaking consumers
- •Validate and document message contracts
Best Practices
- •Prefer events over direct service calls
- •Keep events immutable and self-describing
- •Design for at-least-once delivery
- •Handle duplicate events gracefully
- •Version schemas explicitly
- •Monitor lag, throughput, and failures
- •Separate command and event topics
Example Structure
yaml
# Kafka Topic name: order.created partitions: 6 replicationFactor: 3