Google Cloud Functions

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Overview

Google Cloud Functions is a lightweight, event-based, asynchronous compute solution that allows you to create small, single-purpose functions.

Get metrics from Google Functions to:

  • Visualize the performance of your Functions.
  • Correlate the performance of your Functions with your applications.

Setup

Metric collection

Installation

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

Log collection

Google Cloud Function 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 Function logs from Google Cloud Logging to the Pub/Sub topic:

  1. Go to the Google Cloud Logging page and filter the Google Cloud Function logs.
  2. Click Create Sink and name the sink accordingly.
  3. 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.
  4. Click Create and wait for the confirmation message to show up.

Data Collected

Metrics

gcp.cloudfunctions.function.active_instances
(gauge)		The number of active function instances
Shown as instance
gcp.cloudfunctions.function.execution_count
(count)		The number of function executions.
Shown as occurrence
gcp.cloudfunctions.function.execution_times.avg
(gauge)		Average of functions execution times.
Shown as nanosecond
gcp.cloudfunctions.function.execution_times.p95
(gauge)		95th percentile of functions execution times.
Shown as nanosecond
gcp.cloudfunctions.function.execution_times.p99
(gauge)		99th percentile of functions execution times.
Shown as nanosecond
gcp.cloudfunctions.function.execution_times.samplecount
(count)		Sample count for functions execution times.
Shown as occurrence
gcp.cloudfunctions.function.execution_times.sumsqdev
(gauge)		Sum of squared deviation for functions execution times.
Shown as nanosecond
gcp.cloudfunctions.function.instance_count
(gauge)		The number of function instances broken down by state
Shown as instance
gcp.cloudfunctions.function.network_egress
(gauge)		The outgoing network traffic of a function
Shown as byte
gcp.cloudfunctions.function.user_memory_bytes.avg
(gauge)		The average function memory usage during execution
Shown as byte
gcp.cloudfunctions.function.user_memory_bytes.p95
(gauge)		The 95th percentile of function memory usage during execution
Shown as byte
gcp.cloudfunctions.function.user_memory_bytes.p99
(gauge)		The 99th percentile of function memory usage during execution
Shown as byte
gcp.cloudfunctions.function.user_memory_bytes.samplecount
(count)		The sample count for a function's memory usage.
Shown as occurrence
gcp.cloudfunctions.function.user_memory_bytes.sumsqdev
(gauge)		The sum of squared deviation for function's memory usage.
Shown as byte

Events

The Google Cloud Functions integration does not include any events.

Service Checks

The Google Cloud Functions integration does not include any service checks.

Troubleshooting

Need help? Contact Datadog support.