Overview
Google Cloud Firestore is a flexible, scalable database for mobile, web, and server development from Firebase and Google Cloud Platform.
Use the Datadog Google Cloud Platform integration to collect metrics from Google Cloud Firestore.
Setup
Installation
If you haven’t already, set up the Google Cloud Platform integration first. There are no other installation steps.
Log collection
Google Cloud Firestore 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 Firestore logs from Google Cloud Logging to the Pub/Sub topic:
- Go to the Google Cloud Logging page and filter the Google Cloud Firestore logs.
- Click Create Export and name the sink.
- Choose “Cloud Pub/Sub” as the destination and select the Pub/Sub topic that was created for that purpose. Note: The Pub/Sub topic can be located in a different project.
- Click Create and wait for the confirmation message to show up.
Data Collected
Metrics
gcp.firestore.document.delete_count
(count) | The number of successful document deletes.
Shown as document |
gcp.firestore.document.read_count
(count) | The number of successful document reads from queries or lookups.
Shown as document |
gcp.firestore.document.write_count
(count) | The number of successful document writes.
Shown as document |
Events
The Google Cloud Firestore integration does not include any events.
Service Checks
The Google Cloud Firestore integration does not include any service checks.
Troubleshooting
Need help? Contact Datadog support.
