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Cloud Datastore is a highly-scalable NoSQL database for your web and mobile applications.
Get metrics from Google Datastore to:
If you haven’t already, set up the Google Cloud Platform integration first. There are no other installation steps that need to be performed.
Google Cloud Datastore logs are collected with Google Cloud Logging and sent to a Dataflow job through a Cloud Pub/Sub topic. If you haven’t already, set up logging with the Datadog Dataflow template.
Once this is done, export your Google Cloud Datastore logs from Google Cloud Logging to the Pub/Sub topic:
gcp.datastore.api.request_count (count) | Datastore API calls. Shown as request |
gcp.datastore.index.write_count (count) | Datastore index writes. Shown as write |
gcp.datastore.entity.read_sizes.avg (gauge) | Average of sizes of read entities. Shown as byte |
gcp.datastore.entity.read_sizes.samplecount (count) | Sample Count for sizes of read entities. Shown as byte |
gcp.datastore.entity.read_sizes.sumsqdev (gauge) | Sum of Squared Deviation for sizes of read entities. Shown as byte |
gcp.datastore.entity.write_sizes.avg (gauge) | Average of sizes of written entities. Shown as byte |
gcp.datastore.entity.write_sizes.samplecount (gauge) | Sample Count for sizes of written entities. Shown as byte |
gcp.datastore.entity.write_sizes.sumsqdev (gauge) | Sum of Squared Deviation for sizes of written entities. Shown as byte |
The Google Cloud Datastore integration does not include any events.
The Google Cloud Datastore integration does not include any service checks.
Need help? Contact Datadog support.