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Datadog is a popular fully managed observability service. This guide demonstrates how to set up Cube Cloud to export logs and metrics to Datadog.

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Configuration

First, enable monitoring integrations in Cube Cloud.

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Exporting logs

To export logs to Datadog, go to Organization Settings → API Keys obtain an API key:
Then, configure the datadog_logs sink in your vector.toml configuration file. Example configuration: 
[sinks.datadog_logs]
type = "datadog_logs"
inputs = [
  "cubejs-server",
  "refresh-scheduler",
  "warmup-job",
  "cubestore"
]
default_api_key = "$CUBE_CLOUD_MONITORING_DATADOG_API_KEY"
site = "datadoghq.eu"
compression = "gzip"
healthcheck = false
Note that Datadog accounts belong to specific sites throughout the world. Use the site option to configure the sink appropriately. When miscofigured, Vector agent outputs the following error: Client request was forbidden. Commit the configuration for Vector, it should take effect in a minute. Then, navigate to Logs in Datadog and watch the logs coming:

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Exporting metrics

To export metrics to Datadog, use the same API key from Organization Settings → API Keys as configured for logs. Then, configure the datadog_metrics sink in your vector.toml configuration file. Example configuration: 
[sinks.datadog_metrics]
type = "datadog_metrics"
inputs = [
  "metrics"
]
default_api_key = "$CUBE_CLOUD_MONITORING_DATADOG_API_KEY"
site = "datadoghq.eu"
Again, upon commit the configuration for Vector should take effect in a minute. Then, navigate to Metrics → Summary in Datadog and explore the available metrics. Cube metrics are prefixed with cube_, such as cube_cpu_usage_ratio, cube_memory_usage_ratio, and cube_requests_total.