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Spring Boot (Micrometer) with Kafka Templates.

Watermill is a Go library for working efficiently with message streams. It is intended for building event driven applications, enabling event sourcing, RPC over messages, sagas and basically whatever else comes to your mind. You can use conventional pub/sub implementations like Kafka or RabbitMQ, but also HTTP or MySQL binlog if that fits your use case.

Watermill is a Go library for working efficiently with message streams. It is intended for building event driven applications, enabling event sourcing, RPC over messages, sagas and basically whatever else comes to your mind. You can use conventional pub/sub implementations like Kafka or RabbitMQ, but also HTTP or MySQL binlog if that fits your use case.

Kafka resource usage and throughput

Spring Boot (Micrometer) with Kafka Listeners.

Kafka resource usage and consumer lag overview

Kafka Lag Monitoring

Dashboard to view Mirror Maker 2 related metrics

Simple dashboard to read metrics from actuator and camel kafka

Kafka resource usage and throughput

A comprehensive Kafka monitoring dashboard for Kubernetes. Visualizes Consumer Lag, Throughput, and Broker Health using Kafka Exporter and cAdvisor.

Dashboard to view KRaft related metrics

Kafka Overview using JMX metrics.

Warpstream Schema Registry Dashboard

Instant visual feedback for Kafka Connect integration health, tracking individual Connector and Task states using Kpow's telemetry.

Granular visibility into Apache Kafka topics, tracking throughput, consumer lag, and URPs using Kpow's high-fidelity telemetry.

A high-level macro view of Apache Kafka cluster stability, capacity, and operational health using Kpow's high-fidelity telemetry.

Comprehensive Kafka consumer lag and health monitoring for Klag (https://github.com/themoah/klag). Lag, velocity, hot partitions, time-based lag, data-loss-prevention and JVM runtime metrics. Requires a Prometheus-compatible data source.