diff --git a/kafka/README.md b/kafka/README.md
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--- a/kafka/README.md
+++ b/kafka/README.md
@@ -2,12 +2,12 @@
 
 ![Kafka Dashboard][1]
 
+**New:** [Kafka Monitoring][24] tracks consumer lag, throughput, schemas, and adds message reading capabilities.
+
 ## Overview
 
 View Kafka broker metrics and logs for a 360-view of the health and performance of your Kafka clusters in real time.
 
-Add [Data Streams Monitoring][24] to your producers and consumers to visualize the application topology, root cause issues across services, and measure end to end latency, throughput and lag.
-
 **Note**:
 
 - This check has a limit of 350 metrics per instance. The number of returned metrics is indicated in the Agent status output. Specify the metrics you are interested in by editing the configuration below. For more detailed instructions on customizing the metrics to collect, see the
@@ -25,8 +25,6 @@ To collect Kafka consumer metrics, see the [kafka_consumer check][3].
 
 The Agent's Kafka check is included in the [Datadog Agent][4] package, no additional installation is needed on your Kafka nodes.
 
-Add [Data Streams Monitoring][24] to your producers and consumers to visualize the application topology, root cause issues across services, and measure end to end latency, throughput and lag.
-
 The check collects metrics from JMX with [JMXFetch][5]. A JVM is needed on each kafka node so the Agent can run JMXFetch. The same JVM that Kafka uses can be used for this.
 
 **Note**: The Kafka check cannot be used with Managed Streaming for Apache Kafka (Amazon MSK). Use the [Amazon MSK integration][6] instead.
@@ -184,5 +182,4 @@ See [service_checks.json][15] for a list of service checks provided by this inte
 [21]: https://www.datadoghq.com/blog/monitor-kafka-with-datadog
 [22]: https://raw.githubusercontent.com/DataDog/dd-agent/5.2.1/conf.d/kafka.yaml.example
 [23]: https://www.datadoghq.com/knowledge-center/apache-kafka/
-[24]: https://docs.datadoghq.com/data_streams/
-[25]: /data-streams
+[24]: https://docs.datadoghq.com/data_streams/kafka?utm_source=docs&utm_medium=callout&utm_campaign=DocsCTA-DSMKafka-IntegrationsKafka