Configure Apache Kafka® metrics sent to Datadog
When creating a Datadog service integration, customize which metrics are sent to the Datadog endpoint using the Aiven CLI.
The following metrics are currently supported for each topic and partition in Apache Kafka®:
kafka.log.log_sizekafka.log.log_start_offsetkafka.log.log_end_offset
All metrics are tagged with topic and partition, enabling
independent monitoring of each topic and partition.
Variables
These are the placeholders you will need to replace in the code samples.
| Variable | Description |
|---|---|
SERVICE_NAME | Aiven for Apache Kafka® service name |
INTEGRATION_ID | ID of the integration between Aiven for Apache Kafka service and Datadog |
You can find the INTEGRATION_ID parameter by executing this command:
avn service integration-list SERVICE_NAME
Customize Apache Kafka® metrics for Datadog
Before customizing metrics, ensure a Datadog endpoint is configured and
enabled in your Aiven for Apache Kafka service. For setup instructions,
see
Send metrics to Datadog. Format any listed parameters as a comma-separated list:
['value0', 'value1', 'value2', ...].
To customize the metrics sent to Datadog, you can use the
service integration-update passing the following customized
parameters:
kafka_custom_metrics: defining the comma-separated list of custom metrics to include (withinkafka.log.log_size,kafka.log.log_start_offsetandkafka.log.log_end_offset)
For example, to send the kafka.log.log_size and
kafka.log.log_end_offset metrics, execute the following code:
avn service integration-update \
-c kafka_custom_metrics=['kafka.log.log_size','kafka.log.log_end_offset'] \
INTEGRATION_ID
After you successfully update and the metrics are collected and sent to Datadog, you can view them in your Datadog explorer.
Also see Datadog and Aiven.
Customize Apache Kafka® consumer metrics for Datadog
Kafka Consumer
Integration
collects metrics for message offsets. To customize the metrics sent from
this Datadog integration to Datadog, you can use the
service integration-update passing the following customized
parameters:
-
include_topics: Specify a comma-separated list of topics to include.noteBy default, all topics are included.
-
exclude_topics: Specify a comma-separated list of topics to exclude. -
include_consumer_groups: Specify a comma-separated list of consumer groups to include. -
exclude_consumer_groups: Specify a comma-separated list of consumer groups to exclude.
For example, to include topics topic1 and topic2, and exclude
topic3, execute the following code:
avn service integration-update \
-c kafka_custom_metrics="['kafka.log.log_size','kafka.log.log_end_offset']" \
-c include_topics="['topic1','topic2']" \
INTEGRATION_ID
After you successfully update and the metrics are collected and sent to Datadog, you can view them in your Datadog explorer.