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Analyzing GKE costs with GKE Usage Metering
To enable the GKE usage metering, you must first [create a BigQuery dataset](https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-usage-metering#create-dataset. The dataset should be created for either a single cluster, multiple clusters in the project, or the entire project. For more information about choosing a mapping between datasets and clusters, checkout the documentation on choosing one or more BigQuery datasets.
If you have created a dashboard using the template provided by Google with the initial Beta, you must first create a new dashboard from the new template in order to visualize actual resource consumption.
To use the GKE usage metering for clusters in your Google Cloud project, you must first create the BigQuery dataset, and then configure clusters to use it. You can use a single BigQuery dataset to store information about resource usage for multiple clusters in the same project.
Visit creating datasets to know more details. Set the
Default table expirationfor the dataset to
Neverso that the table doesn't expire. However, in the second GKE usage metering Beta, if a table expires, it is recreated automatically (as an empty table).
This feature writes to the BigQuery dataset that you provide with the Google service account (service-PROJECT_ID@container-engine-robot.iam.gserviceaccount.com) and with the Kubernetes Engine Service Agent role.
If you delete a BigQuery dataset or table that a cluster is using to log the GKE usage metering data, Cloud Logging shows transient warnings such as Failed to upload a record to BigQuery. To resolve the warning, re-create the dataset or configure the cluster to use a different dataset. Your historical data will be lost.
You can enable the GKE usage metering on a new or existing cluster, using either the
gcloudcommand or the Cloud Console.
Enabling GKE usage metering also enables resource consumption metering by default. To selectively disable resource consumption metering while continuing to track resource requests, see the specific instructions for enabling GKE usage metering using the
gcloudcommand, in this topic.
2. Next to the cluster you want to modify, click Actions, then click Edit.
3. Under Features, click Edit next to GKE usage metering.
4. Select Enable GKE usage metering.
5. Enter the name of the BigQuery dataset.
7. Click Save Changes.
1. Go to the Kuberenetes Clusters page on Google Cloud.
2. Click on the cluster that you have enabled GKE Usage metering.
3. Under the features section, you can find GKE Usage Metering along with the Dataset name. Clicking on it will take you to the respective dataset.
4. On the left pane, you can expand on your dataset name to find the table called
5. Click on the Share -> Add Principal.
6. Enter economize's service account as principal, select BigQuery Data Edior on Role and then Click on Save.
7. Click on the details tab to find your table id and copy that, as seen in the screenshot below.
7. Paste the table id in the
GKE Usage metering tablefield and click on test to test the connection.