Compute Engine lets you export detailed reports of your
Compute Engine usage to a Cloud Storage bucket
using the usage export feature. Usage reports provide information about the
lifetime of your resources. For example, you can see how many VM instances in
your project are running an n2-standard-4
machine type and how long each
instance has been running. You can also review the storage space of a persistent
disk, and information about other Compute Engine features.
Usage reports do not provide billing or activity information, such as information about API requests. For billing information, see the Billing Export feature. For activity logs, see Activity logs.
Before you begin
-
If you haven't already, then set up authentication.
Authentication is
the process by which your identity is verified for access to Google Cloud services and APIs.
To run code or samples from a local development environment, you can authenticate to
Compute Engine by selecting one of the following options:
Select the tab for how you plan to use the samples on this page:
Console
When you use the Google Cloud console to access Google Cloud services and APIs, you don't need to set up authentication.
gcloud
-
Install the Google Cloud CLI, then initialize it by running the following command:
gcloud init
- Set a default region and zone.
Python
To use the Python samples on this page in a local development environment, install and initialize the gcloud CLI, and then set up Application Default Credentials with your user credentials.
- Install the Google Cloud CLI.
-
To initialize the gcloud CLI, run the following command:
gcloud init
-
If you're using a local shell, then create local authentication credentials for your user account:
gcloud auth application-default login
You don't need to do this if you're using Cloud Shell.
For more information, see Set up authentication for a local development environment.
-
Overview
When you enable usage reports, Compute Engine delivers two types of reports to the Cloud Storage bucket you specify:
Daily usage reports
These reports are delivered daily and include usage data from the preceding day. Each report is a separate file that contains data from the last period. Data in these reports are immutable, meaning that Compute Engine does not update or rewrite the log file if there are inaccuracies. Instead, the data is corrected in the next new report that is delivered to the bucket.
Daily usage reports have the following name format:
<bucket>/<report_prefix>_<numeric_project_id>_<YYYYMMDD>.csv
Monthly rollup report
A single monthly rollup report is delivered daily, which contains monthly usage data for that project up to, but not including, that day. The monthly usage report is overwritten each day with new data that reflects the monthly usage of resources up to that date. There is only one monthly usage data file per project, per month.
Monthly rollup reports have following name format:
<bucket>/<report_prefix>_<numeric_project_id>_<YYYYMM>.csv
The daily and monthly report files look very similar, except for the difference in date format, where the monthly rollup reports are dated using the year and month (
YYYYMM
), and the daily usage reports are dated using the year, month, and date (YYYYMMDD
).
All usage reports are delivered in comma-separated values (CSV) format
and usage report files are prefixed using <report_prefix>
. The <report_prefix>
is a customizable value chosen by the user. If you don't specify a report prefix,
the prefix usage_gce
is used by default. All times are given in Pacific time (PST).
Prerequisites
Before you can start using Compute Engine usage export:
- You must have already created a bucket to store usage logs.
Setting up usage export
When you first enable the usage export feature, the first report is sent the following day, detailing the previous day's usage. Afterwards, you receive reports in 24 hour intervals.
To set up the usage export feature, enable the feature in the
gcloud compute
tool. When you enable this
feature, you must define two properties:
The Cloud Storage bucket where you would like your reports to be delivered.
You can select any Cloud Storage bucket for which you are an owner, including buckets that are from different projects. This bucket must exist before you can start exporting reports and you must have owner access to the bucket. Cloud Storage charges for usage, so you should review Cloud Storage pricing for information on how you might incur charges for the service.
Any user who has read access to the Cloud Storage bucket can view the usage reports in the bucket. Any user who has write access to the bucket can create, view, and modify existing files in the bucket. For more information, see the Access control section.
The report prefix for your files.
You can specify the report prefix to use for your usage reports. Your usage reports then have file names that contain this prefix. For example, specifying "my-cool-project-report" as your report prefix results in a file name similar to the format
my-cool-project-report_1234567890_20131230.csv
. If you do not specify a report prefix, the default prefixusage_gce
is used.
After you decide on these two properties, you can enable the usage export feature in the following ways:
Console
Go to the Compute Engine Settings page.
Check the Enable usage export box.
Fill in the field asking for a Bucket name. Optionally, provide a Report prefix, if desired. If you leave the report prefix empty, the default prefix
usage_gce
is used. All usage reports delivered to the bucket are named with this prefix.Click Save.
gcloud
In gcloud compute
, use the gcloud compute project-info set-usage-bucket
command to enable this feature:
gcloud compute project-info set-usage-bucket --bucket [BUCKET_NAME] [--prefix [PREFIX]]
Where:
[BUCKET_NAME]
is the name of an existing bucket to receive the usage reports. Must be in the formatgs://<bucket-name>
orhttps://storage.googleapis.com/<bucket-name>
. The user running this command must be an owner of the bucket.[PREFIX]
is the optional prefix for the usage report names. If not specified, the default prefix isusage_gce
.
Python
To enable usage exports, use the set_usage_export_bucket()
method in the
Projects
collection. The following example uses the
Cloud Client Libraries for Python:
For more information, see the API reference documentation for
projects.setUsageExportBucket
Downloading usage export reports
After you start receiving usage reports in your bucket, download your reports like you would download other objects from Cloud Storage. For more information, see Download objects.
Supported metrics
Daily usage reports provide usage information about the following resources:
- Virtual machines
- Persistent disks
- Images
- Snapshots
- Static IP addresses
- Load balancers
- Reservations
Each resource is described using the following metrics:
Metric Name | Metric Properties |
---|---|
Report Date |
|
MeasurementId |
|
Quantity |
|
Unit |
|
Resource URI |
|
ResourceId |
|
Location |
|
An example entry in the report would look like the following:
Report Date | MeasurementId | Quantity | Unit | Resource URI | Resource ID | Location |
---|---|---|---|---|---|---|
02/13/2019 |
com.google.cloud/services/compute-engine/VmimageE2Standard_2
|
86400 | seconds |
https://compute.googleapis.com/compute/v1/projects/myproject/zones/us-central1-a/instances/my-instance
|
16557630484 | us-central1-a |
Access control
When you enable the usage export feature for a Cloud Storage bucket, Compute Engine automatically adds itself to the bucket with write access in order to deliver usage reports. As long as Compute Engine has access to the bucket and the usage export feature is enabled, Compute Engine continues to export usage reports to the specified Cloud Storage bucket.
You can identify that Compute Engine has access to a bucket if you see the following identity added to the bucket IAM policy:
cloud-cluster-analytics-export@google.com
Any user who is an owner of the project has full access to the Cloud Storage bucket. Other users, such as writers and readers, have different degrees of access to the bucket. To learn about IAM for a bucket, read IAM for Cloud Storage.
If you disable the usage export feature, Compute Engine automatically removes write access from Compute Engine to the bucket. If you modify the permissions on the cloud-cluster-analytics-export@google.com account and then disable the usage export feature, Compute Engine disables the usage export feature but won't remove the account from the project access list. You can choose to remove the account manually if desired.
Checking if usage reports are enabled
You can check on a project's usage export settings by getting information about the project:
gcloud compute project-info describe
Look for the usageExportLocation
field:
+-------------------------+----------------------------------------------------+ | name | myproject | | description | | | creation-time | 2019-10-18T16:31:52.308-07:00 | | usage | | | snapshots | 1.0/1000.0 | | networks | 2.0/2.0 | | firewalls | 3.0/10.0 | |... | | | usageExportLocation | | | bucketName | https://storage.googleapis.com/usage-export-sample | | reportNamePrefix | | +-------------------------+----------------------------------------------------+
Disabling usage reports
When you disable usage reports, Compute Engine automatically removes write access for Compute Engine to your Cloud Storage bucket and stops sending new reports.
Console
Go to the Compute Engine Settings page.
Uncheck the Enable usage export box to disable usage export.
gcloud
In gcloud compute
, disable the usage export feature by running the
gcloud compute project-info set-usage-bucket
command with the --no-bucket
flag:
gcloud compute project-info set-usage-bucket --no-bucket
Python
To disable usage exports, use the set_usage_export_bucket()
method in the Projects
collection with usage_export_location_resource
set to None
. The following example uses the Cloud Client Libraries for Python:
What's next
- Turn on the Billing Export feature to view your billing logs.
- Track the activity in your project using Activity Logs.
- Learn more about Cloud Storage buckets.
- Learn more about Compute Engine pricing.
- Use the pricing calculator to get an estimated price.