Overview
Google Cloud APIs allow you to access Google Cloud Platform products from your code.
Use the Datadog Google Cloud Platform integration to collect metrics from Google Cloud APIs.
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 API 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 API logs from Google Cloud Logging to the Pub/Sub topic:
- Go to the Google Cloud Logging page and filter the Google Cloud API 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.serviceruntime.api.request_count
(count) | The count of completed requests.
Shown as request |
gcp.serviceruntime.api.request_latencies.avg
(gauge) | Distribution of latencies in seconds for non-streaming requests.
Shown as second |
gcp.serviceruntime.api.request_latencies.samplecount
(count) | Sample count for API request latencies
Shown as second |
gcp.serviceruntime.api.request_latencies.sumsqdev
(gauge) | Sum of squared deviation for API request latencies
Shown as second |
gcp.serviceruntime.api.request_latencies_backend.avg
(gauge) | Distribution of backend latencies in seconds for non-streaming requests.
Shown as second |
gcp.serviceruntime.api.request_latencies_backend.samplecount
(count) | Sample count for API backend request latencies
Shown as second |
gcp.serviceruntime.api.request_latencies_backend.sumsqdev
(gauge) | Sum of squared deviation for API backend request latencies
Shown as second |
gcp.serviceruntime.api.request_latencies_overhead.avg
(gauge) | Distribution of request latencies in seconds for non-streaming requests excluding the backend.
Shown as second |
gcp.serviceruntime.api.request_latencies_overhead.samplecount
(count) | Sample count for API overhead request latencies
Shown as second |
gcp.serviceruntime.api.request_latencies_overhead.sumsqdev
(gauge) | Sum of squared deviation for API overhead request latencies
Shown as second |
gcp.serviceruntime.api.request_sizes.avg
(gauge) | Distribution of request sizes in bytes recorded at request completion.
Shown as byte |
gcp.serviceruntime.api.request_sizes.samplecount
(count) | Sample count for API request sizes
Shown as byte |
gcp.serviceruntime.api.request_sizes.sumsqdev
(gauge) | Sum of squared deviation for API request sizes
Shown as byte |
gcp.serviceruntime.api.response_sizes.avg
(gauge) | Distribution of response sizes in bytes recorded at request completion.
Shown as byte |
gcp.serviceruntime.api.response_sizes.samplecount
(count) | Sample count for response sizes
Shown as byte |
gcp.serviceruntime.api.response_sizes.sumsqdev
(gauge) | Sum of squared deviation for response sizes
Shown as byte |
gcp.serviceruntime.quota.allocation.usage
(gauge) | The total consumed allocation quota. |
gcp.serviceruntime.quota.exceeded
(gauge) | The error happened when the quota limit was exceeded. |
gcp.serviceruntime.quota.limit
(gauge) | The limit for the quota. |
gcp.serviceruntime.quota.rate.net_usage
(count) | The total consumed rate quota. |
Events
The Google Cloud APIs integration does not include any events.
Service Checks
The Google Cloud APIs integration does not include any service checks.
Troubleshooting
Need help? Contact Datadog support.
