KLogic
🔗 Kafka Connect

Kafka Connect Monitoring

Monitor and optimize your Kafka Connect clusters with comprehensive connector health tracking, data pipeline visibility, and automated error handling.

Kafka Connect Monitoring Challenges

Why standard monitoring falls short for Kafka Connect environments

Connector Failures

Connectors can fail silently, causing data loss or processing delays. Traditional monitoring doesn't provide visibility into connector internals.

Silent failures can cause hours of data loss

Complex Topologies

Multiple connectors with different configurations, schemas, and data flows create complex dependencies that are hard to monitor and debug.

Hundreds of connectors across environments

Performance Bottlenecks

Identifying performance issues requires understanding connector-specific metrics, worker distribution, and task allocation patterns.

Throughput can vary 10x between configurations

Comprehensive Connect Monitoring

Complete visibility into your Kafka Connect infrastructure

Connector Health Dashboard

Real-Time Status Monitoring

Track connector state, task distribution, and worker assignments

Error Detection & Alerting

Automatic detection of failures, retries, and dead letter queue events

Performance Metrics

Monitor throughput, latency, and resource utilization per connector

Connect Cluster StatusLive
mysql-source-ordersRUNNING
Tasks: 4/4 running
Throughput: 1.2K records/sec
s3-sink-analyticsRUNNING
Tasks: 2/2 running
Throughput: 850 records/sec
elasticsearch-sink-logsPAUSED
Tasks: 0/3 running
Last Error: Connection timeout
postgres-cdc-usersFAILED
Tasks: 0/1 running
Retries: 3/3 exhausted
12
Running
1
Paused
1
Failed
Data Pipeline Flow
Data Sources
MySQL
MongoDB
PostgreSQL
Kafka Topics
orders
users
events
Data Sinks
S3
Elasticsearch
Snowflake
3.2K rec/sec
Ingestion Rate
12 Topics
Active
2.8K rec/sec
Output Rate

Data Pipeline Visualization

End-to-End Data Flow

Visualize data movement from sources through Kafka to destination systems

Schema Evolution Tracking

Monitor schema changes and compatibility across your data pipeline

Bottleneck Identification

Automatically identify and highlight performance bottlenecks in your pipeline

Supported Connector Types

Monitor all your Kafka Connect connectors with specialized insights

Database Connectors

MySQL, PostgreSQL, MongoDB, Oracle, SQL Server with CDC and snapshot monitoring.

Change CaptureReal-time
Schema EvolutionTracked

Cloud Storage

S3, GCS, Azure Blob Storage with file format and partitioning monitoring.

File SizeOptimized
PartitioningMonitored

Analytics Platforms

Elasticsearch, Snowflake, BigQuery, ClickHouse with indexing and query performance.

Index HealthMonitored
Query PerfOptimized

Advanced Monitoring Features

Go beyond basic metrics with intelligent Connect monitoring

Configuration Management

Track connector configurations, detect drift, and manage changes across environments.

Configuration version control
Drift detection and alerts
Environment synchronization
Change impact analysis

Performance Optimization

Optimize connector performance with detailed metrics and intelligent recommendations.

Throughput optimization suggestions
Task distribution analysis
Resource utilization tracking
Batch size optimization

Error Handling & Recovery

Intelligent error detection, classification, and automated recovery procedures.

Error pattern recognition
Dead letter queue monitoring
Automated retry strategies
Recovery playbook execution

Schema Registry Integration

Monitor schema evolution, compatibility, and impact across your data pipeline.

Schema compatibility checking
Evolution timeline tracking
Breaking change detection
Consumer impact analysis

Connect Monitoring Use Cases

How organizations use KLogic to monitor their Connect infrastructure

Data Lake Ingestion

Monitor high-volume data ingestion from operational databases to data lakes with CDC connectors and storage optimizations.

Daily Ingestion500GB+
Source Tables250+ tables
CDC Latency< 30 seconds
Uptime99.95%

Real-Time Analytics Pipeline

Stream processing pipeline with multiple transforms and destinations for real-time business intelligence and reporting.

Processing Rate1M events/hour
Active Connectors45 connectors
End-to-End Latency< 5 minutes
Error Rate< 0.1%

Measurable Benefits

Real improvements from comprehensive Connect monitoring

80%
Faster Issue Resolution
99.9%
Data Pipeline Uptime
40%
Performance Improvement
95%
Reduction in Data Loss

Master Your Kafka Connect Infrastructure

Get complete visibility into your Kafka Connect clusters. Monitor connector health, optimize performance, and ensure reliable data pipeline operations.

Free 14-day trial • Connector health monitoring • Pipeline optimization • Error recovery automation