Kafka Schema Registry Monitoring Guide
Comprehensive guide to monitoring Confluent Schema Registry performance, schema evolution, compatibility checks, and data governance for robust Kafka data pipelines.
Essential Schema Registry Metrics
Monitor these critical aspects of Schema Registry for reliable data governance.
Schema Evolution
Track schema changes, version updates, and compatibility validation across subjects.
API Performance
Monitor API response times, request rates, and caching effectiveness.
Compatibility Issues
Detect schema compatibility violations and breaking changes before deployment.
Schema Governance & Compliance
Implement comprehensive schema governance with automated policy enforcement.
Compatibility Policies
Evolution Strategies
- • BACKWARD: New schema can read old data
- • FORWARD: Old schema can read new data
- • FULL: Both backward and forward compatible
- • NONE: No compatibility checking
Validation Rules
- • Required field additions
- • Type compatibility checks
- • Default value validation
Schema Metadata
- Schema registration and versioning tracking
- Subject-level configuration monitoring
- Producer and consumer schema usage
- Schema deletion and cleanup policies
- Cross-environment schema synchronization
Schema Registry Performance
Monitor performance metrics and optimize Schema Registry for high-throughput environments.
API Metrics
Request Performance
Cache Performance
Health Indicators
- Schema Registry cluster availability
- Kafka topic storage health (_schemas)
- SSL/TLS certificate validity
- Authentication and authorization status
- Storage backend connectivity
Schema Registry Analytics Dashboard
Real-time visibility into schema usage, evolution patterns, and governance compliance.
Schema Inventory
API Performance
Govern Your Schemas with KLogic
Get comprehensive Schema Registry monitoring and ensure data governance across your Kafka ecosystem.