Apache Kafka

Kafka Monitoring Without JMX

Get complete visibility into your Kafka clusters using wire protocol analysis. Monitor consumer lag, partition metrics, broker health, and message throughput without any JMX configuration or performance impact.

Start Monitoring KafkaSee Live Demo
No
JMX Required
Wire
Protocol Level
<1ms
Latency Added
100%
Message Visibility

Complete Kafka Observability

Monitor every aspect of your streaming infrastructure without agents

Kafka Protocol Analysis

Wire-level protocol analysis captures every produce and consume request without JMX overhead

Topic & Partition Metrics

Real-time visibility into topic throughput, partition lag, and consumer group performance

Consumer Lag Tracking

Monitor consumer lag per partition with automatic alerting on threshold breaches

Broker Health Monitoring

Track broker health, leadership changes, ISR status, and replication lag

Message Flow Tracing

Trace messages from producers through brokers to consumers with correlation

Zero-Copy Performance

Monitor Kafka's zero-copy performance and network utilization patterns

Consumer Lag Monitoring

Never Miss a Lagging Consumer

Per-Partition Tracking

  • • Current offset per consumer
  • • Log end offset per partition
  • • Lag in messages and time
  • • Consumption rate trends

Smart Alerting

  • • Lag threshold alerts
  • • Stuck consumer detection
  • • Rebalancing notifications
  • • Historical lag analysis
# Example consumer lag metrics
kafka_consumer_lag{
  group="payment-processor",
  topic="transactions",
  partition="3"
} 15234

kafka_consumer_rate{
  group="payment-processor",
  topic="transactions"
} 1250.5 msg/sec

How It Works

1

Wire Protocol Capture

eBPF programs capture Kafka protocol traffic between clients and brokers, parsing request/response headers to extract metrics without any overhead.

Produce Request → Track throughput, latency, errors
2

Consumer Group Tracking

Monitor consumer group coordination, offset commits, and rebalancing events to calculate lag and detect stuck consumers automatically.

Offset Commit → Calculate lag per partition
3

Broker Metadata

Track broker health, partition leadership, ISR status, and replication lag through metadata requests without needing JMX access.

Metadata Request → Topology and health status

Kafka Monitoring Capabilities

Kafka protocol 2.x+ support
Produce/Fetch request tracking
Consumer group coordination
Partition leader tracking
In-sync replica monitoring
Topic configuration changes
Batch size and compression stats
Network throughput per broker
Disk usage and retention
Zookeeper/KRaft mode support

Easy Installation

# Deploy HyperObserve agent
docker run -d \
  --name hyperobserve \
  --pid host \
  --network host \
  -v /sys/kernel/debug:/sys/kernel/debug:ro \
  -e KAFKA_BROKERS=broker1:9092,broker2:9092 \
  -e API_KEY=YOUR_API_KEY \
  hyperobserve/agent:latest

# Or configure in YAML
collectors:
  queues:
    - type: kafka
      brokers:
        - kafka-1.example.com:9092
        - kafka-2.example.com:9092
        - kafka-3.example.com:9092
      consumer_groups:
        - payment-processor
        - analytics-consumer
        - event-streamer

Works with Kafka 2.0+ including KRaft mode (no Zookeeper required)

Monitor Kafka Without Any Configuration

No JMX setup. No client changes. Just instant streaming visibility.

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