Troubleshoot Kafka issues across every layer of your stack with Kafka Console

Datadog Kafka Console is presented as a centralized tool for monitoring, troubleshooting, and optimizing Kafka environments by collecting health and performance data directly from clusters. It helps teams investigate issues such as consumer lag, offline or under-replicated partitions, configuration changes, schema changes, and message deserialization failures through views of clusters, topics, brokers, partitions, consumer groups, and messages. The platform can alert users when lag approaches retention limits, correlate operational problems with configuration or schema updates, identify affected producer and consumer services, and connect teams with ownership information. Authorized users can inspect topic messages and schema versions to distinguish infrastructure failures from data-related problems, while configuration recommendations support performance tuning. Kafka Console can be used independently or alongside Datadog Data Streams Monitoring to combine Kafka infrastructure visibility with application-level flow and latency context, and it integrates with Bits AI and the Datadog MCP Server to assist investigations and recommend potential fixes.

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