REST-based microservices have a problem: synchronous communication creates coupling and cascading failures. Event-driven architecture solves this.
Kafka as the Event Backbone¶
Confluent Cloud (managed Kafka) — durability, scalability, ordering within partitions, consumer groups. Self-hosted Kafka is operationally demanding.
Saga Pattern for Distributed Transactions¶
A sequence of local transactions with compensating transactions on failure. Order example: Order → Payment → Inventory → Confirmed (or compensation).
Eventual Consistency — A Mental Shift¶
The hardest part isn’t the technology — it’s the mindset. “Order is being processed” instead of instant confirmation. A different approach to UI and testing.
Event-Driven = Resilience + Decoupling¶
New tools, new patterns, new mindset. But the reward is a system that’s more resilient and scalable.
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