akhq VS kafka-lag-exporter

Download docker-compose from github - https://github.com/tchiotludo/akhq. Launch docker-compose:

You also have https://akhq.io/

This may help as well https://akhq.io/

akHQ - https://github.com/tchiotludo/akhq

AKHQ

The project start as a side project (yet another side project I do the night and weekend) but was quickly promoted and used in a French Big Retail Company.

This one trust on the project and decide to go production with Kestra. So they decide to inject some resource in order to develop some features that need and that is missing.

But basically, not so much people for now. We are trying to start a community around the product and started to communicate around the product since few weeks only, I hope community will follow us! And I hope to succeed like on my other open source project: https://github.com/tchiotludo/akhq

- https://github.com/prometheus/jmx_exporter - https://github.com/lightbend/kafka-lag-exporter (Export Kafka Topics Lag Metrics) - https://github.com/danielqsj/kafka_exporter (Export Kafka Metrics) - https://github.com/obsidiandynamics/kafdrop (Topic Administration tool - create/edit/delete topics & view messages)

Kafka Lag Exporter is not part of the Apache Kafka project nor the Confluent Platform. It’s an open-source project under Apache-2.0 License to export Consumer Lag with reporters like Prometheus, Graphite, or InfluxDB. Kafka Lag Exporter enables to monitor Consumer Lag but it also allows to estimate the Time Lag. This metric shows how far a Consumer group is behind the last produced record in terms of time. It shows the actual latency of a consumer application. For more information about this estimation, you can read the chapter of the documentation Estimate Consumer Group Time Lag