You can monitor your Kafka deployment with Datadog to gain visibility into key metrics, logs, and traces. To implement ongoing monitoring, you will need a platform where you can collect and analyze your Kafka metrics, logs, and distributed request traces alongside monitoring data from the rest of your infrastructure. Datadog automatically collects many of the key metrics discussed in Part 1 of this series and makes them available in a template dashboard. You can install the Datadog Agent to collect metrics, logs, and traces from your Kafka deployment. Before you begin, you must verify that Kafka is configured to report metrics via JMX and check that ZooKeeper is sending JMX data to its designated port. The Datadog Agent collects metrics, logs, and distributed request traces from your hosts so that you can view and monitor them in Datadog. You will need to create Agent configuration files for both Kafka and ZooKeeper and modify the Agent's configuration file to set `logs_enabled: true` to collect logs from Kafka and ZooKeeper. Once the Agent begins reporting metrics from your deployment, you will see a comprehensive Kafka dashboard among your list of available dashboards in Datadog. You can easily create a more comprehensive dashboard to monitor your entire web stack by adding additional graphs and metrics from other systems. With Datadog, you can collect distributed traces to measure request volume and latency, set up alerts to be automatically notified of potential issues, and use Data Streams Monitoring to track and improve the performance of streaming data pipelines and event-driven applications that use Kafka.