Event Driven Architecture

Introduction

What is Event Driven Architecture? Publish domain facts to Kafka so services decouple in time and deploy cadence.

Understanding the topic

What happens — Event Driven Architecture:

• Publish domain facts to Kafka so services decouple in time and deploy cadence
• Publish domain facts to Kafka so services decouple in time and deploy cadence.
• Govern schemas and ownership.
• Measure lag, cost, and SLOs.

Visual explanation

Apache Kafka is a distributed event streaming platform. Producers write events to topics; brokers store them in partitioned logs; consumers read at their own pace. Multiple consumer groups can read the same topic independently, and retained history allows replay.

• Decouples services — producers do not wait for consumers.
• Scales horizontally with partitions.
• Built for high throughput and fault tolerance.

Step-by-step explanation

1. Assess — Current pain and requirements.
2. Design — Architecture and contracts.
3. Implement — Platform guardrails.
4. Operate — Monitor and iterate.

Execution workflow

Best practices

• One topic owner per domain stream.
• Register schemas before multi-team integration.
• Use DLT for poison messages.

Common mistakes

• God topics mixing unrelated domains.
• Non-idempotent consumers on at-least-once delivery.

Summary

Event Driven Architecture — Model past-tense domain events, use schema registry, and design idempotent consumers.