Datadog-Google Datastore Integration

Overview

Cloud Datastore is a highly-scalable NoSQL database for your web and mobile applications.

Get metrics from Google Datastore to:

  • Visualize the performance of your Datastores
  • Correlate the performance of your Datastores with your applications

Setup

Installation

If you haven’t already, set up the Google Cloud Platform integration first. There are no other installation steps that need to be performed.

Data Collected

Metrics

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.max
(gauge)
Maximum of sizes of read entities.
shown as byte
gcp.datastore.entity.read_sizes.min
(gauge)
Minimum of 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.max
(gauge)
Maximum of sizes of written entities.
shown as byte
gcp.datastore.entity.write_sizes.min
(gauge)
Minimum of 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