Kafka Connector Health Monitoring
Complete guide to monitoring Kafka Connect clusters, connector health, task status, and data pipeline reliability with comprehensive error tracking and performance optimization.
Essential Connector Health Metrics
Monitor these critical aspects of Kafka Connect for reliable data pipelines.
Connector Status
Monitor connector and task states, failures, and automatic restart behavior.
Throughput Metrics
Track message processing rates, lag, and data pipeline performance.
Error Tracking
Comprehensive error monitoring with detailed failure analysis and alerts.
Connector-Specific Monitoring
Tailored monitoring approaches for different connector types and use cases.
Source Connectors
Database Sources
- • Connection pool health
- • CDC lag monitoring
- • Schema evolution tracking
File/Stream Sources
- • File processing rates
- • Offset commit frequency
- • Error record handling
Sink Connectors
Database Sinks
- • Write throughput rates
- • Batch size optimization
- • Transaction rollback tracking
Storage Sinks
- • File creation patterns
- • Partition management
- • Data format compliance
Automated Health Checks
Proactive monitoring with intelligent health assessments and automatic remediation.
Connectivity Tests
Automated testing of external system connections and authentication.
Configuration Validation
Continuous validation of connector configurations and compatibility.
Performance Baselines
Establish and monitor performance baselines with anomaly detection.
Connector Performance Metrics
Real-time visibility into connector health and data pipeline performance.
Connector Health
Throughput Metrics
Ensure Connector Reliability with KLogic
Get comprehensive connector monitoring and maintain healthy data pipelines with automated alerts.