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Architectureadvanced
Designing Event-Driven Systems
How to build event-driven architectures with Kafka or Redis Streams - from event schemas to idempotency, ordering, and failure handling.
120 min7 steps
Technologies Used
KafkaRedis StreamsEventBridgePostgreSQL
Implementation
Step by Step Guide
Follow these steps to implement this pattern in your project
1
Identify Domain Events
Model events as facts about the business, not commands.
2
Design the Schema
Use a schema registry. Plan for backwards-compatible evolution.
3
Choose Transport
Kafka for durable, high-volume; Redis Streams for simpler use cases.
4
Implement Idempotency
Every consumer must handle duplicates safely.
5
Handle Ordering
Use partition keys when ordering matters.
6
Plan for Failure
Dead-letter queues, retries with backoff, and replay tools.
7
Add Observability
Trace events end-to-end - see the monitoring playbook.
Results
What You'll Achieve
Expected outcomes from implementing this playbook
Loosely coupled services
Reliable async workflows
Replay and debugging capability
Clear ownership of events
See the event-driven blueprint or contact me for an audit.
Need help implementing this?
I can help you implement this pattern in your project or customize it for your specific needs.
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