The Problem
Kafka management shouldn't require a team of experts
Manual Partition Management
Managing partition redistributions in large environments requires significant manual work and deep Kafka knowledge. Adding new brokers and reassigning partitions demands specialized programming skills to find optimal assignments
Reactive Monitoring
Traditional cluster monitoring focuses on detecting issues after they occur, requiring manual intervention to identify imbalances and performance bottlenecks
Limited Built-in Visibility
Kafka provides minimal out-of-the-box monitoring capabilities, requiring teams to build custom solutions or integrate multiple tools to gain transparent insights into cluster health and partition activity