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Apache Kafka Partition Consumer Lag Visualizer.

Event-driven architecture simulator to identify Consumer Group backpressure and Topic Partition log offset lag spikes inside data streaming infrastructure.

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## Monitoring Kafka Consumer Lag

In event-driven architectures, Apache Kafka acts as the central nervous system bridging microservices. 'Consumer Lag' is the definitive health metric of this system—it represents the delta between the latest message appended to a partition by the Producer, and the current offset successfully parsed by your Consumer Group.

### FAQ

**Q: How do we fix consumer lag?**
A: If your consumers are bound by heavy calculation or database inserts (Wait I/O), you are experiencing Backpressure. You must either scale up the compute power of your consumer nodes, or geometrically increase your Kafka Partitions and scale out more consumer replica pods horizontally.