Comment by makilan

I'm working on KLogic, a self-hosted Kafka observability platform built for dev and ops teams.

It helps you monitor metrics, logs, and consumer behavior in real time.

Check it out: https://klogic.io

Book a demo: https://klogic.io/request-demo/

Features:

- Message inspection from any topic — trace and analyze messages, view flow, lag, and delivery status

- Anomaly detection & forecasting — predict lag spikes, throughput drops, and other unusual behaviors

- Real-time dashboards for brokers, topics, partitions, and consumer groups

- Track config changes across clusters and understand their impact on performance

- Interactive log search with filtering by topic, partition, host, and message fields

- Build custom dashboards & widgets to visualize metrics that matter to your team

What pain points do you face in monitoring Kafka, which features would you like next, and any improvements to dashboards, log search, or message inspection?