We used a database as a message queue. Now we use Kafka

说明与用途

团队将基于数据库的消息队列迁移到 Apache Kafka，提升了性能和可扩展性。

问题

The team relied on a relational database to queue messages, which caused performance bottlenecks and limited scalability.

结果

Kafka reduced message latency by 70%, increased throughput to 10k events/s, and simplified scaling.

工作流

• 1. Identify bottlenecks in database‑based queue
• 2. Design Kafka topic schema
• 3. Set up Kafka cluster (single broker for dev, multi‑broker for prod)
• 4. Implement producer to publish events to Kafka
• 5. Update consumers to read from Kafka
• 6. Decommission database queue and archive data

证据

We used a database as a message queue

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Now we use Kafka

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