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Google Cloud Tasks is a fully managed service that allows you to manage the execution, dispatch, and delivery of a large number of distributed tasks.
Use the Datadog Google Cloud Platform integration to collect metrics from Google Cloud Tasks.
If you haven’t already, set up the Google Cloud Platform integration first. There are no other installation steps.
Google Cloud Tasks 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 Tasks logs from Google Cloud Logging to the Pub/Sub topic:
gcp.cloudtasks.api.request_count (count) | Count of Cloud Tasks API calls. Shown as request |
gcp.cloudtasks.queue.task_attempt_count (count) | Count of task attempts broken down by response code. |
gcp.cloudtasks.queue.task_attempt_delays.avg (gauge) | Delay between each scheduled attempt time and actual attempt time. Shown as millisecond |
gcp.cloudtasks.queue.task_attempt_delays.samplecount (count) | Sample count for task attempt delays Shown as millisecond |
gcp.cloudtasks.queue.task_attempt_delays.sumsqdev (gauge) | Sum of squared deviation for task attempt delays Shown as second |
The Google Cloud Tasks integration does not include any events.
The Google Cloud Tasks integration does not include any service checks.
Need help? Contact Datadog support.