Console

1. In the Google Cloud console, go to Cloud Run:

   Go to Cloud Run

2. SelectWorker pools from the menu, and clickDeploy container toconfigure a new worker pool.If you are configuring an existing worker pool, click theworker pool, then clickEdit and deploy new revision.

3. If you are configuring a new worker pool, fill out the initial workerpool page, then clickContainer(s), Volumes, Networking, Security to expand theworker pools configuration page.

4. Click theContainer tab.

   

   • Select the memory size from theMemory list.

5. ClickCreate orDeploy.

gcloud

You canupdate the memory allocationof a given worker pool by using the following command:

gcloudbetarunworker-poolsupdateWORKER_POOL--memorySIZE

Replace the following:

• WORKER_POOL: the name of your worker pool
• SIZE: a memory size from theCPU and memory table.The format for size is a fixed or floating point number followedby a unit:G orM corresponding to gigabyte or megabyte,respectively, or use the power-of-two equivalents:Gi orMicorresponding to gibibyte or mebibyte respectively.

You can also set memory limits duringdeployment using the command:

gcloudbetarunworker-poolsdeploy--imageIMAGE_URL--memorySIZE

Replace the following:

• IMAGE_URL: a reference to the container image thatcontains the worker pool, such asus-docker.pkg.dev/cloudrun/container/worker-pool:latest.
• SIZE: a memory size from theCPU and memory table.The format for size is a fixed or floating point number followed by a unit:G or M corresponding to gigabyte or megabyte, respectively, or use thepower-of-two equivalents: Gi or Mi corresponding to gibibyte or mebibyterespectively.

YAML

1. If you are creating a new worker pool, skip this step.If you are updating an existing worker pool, download itsYAML configuration:

   gcloudbetarunworker-poolsdescribeWORKER_POOL--formatexport>workerpool.yaml

2. The following example contains the YAML configuration:

   apiVersion:run.googleapis.com/v1kind:WorkerPoolmetadata:name:WORKER_POOLannotations:run.googleapis.com/launch-stage:BETAspec:template:spec:containers:-image:IMAGE_URLresources:limits:memory:SIZE

   Replace the following:

   • WORKER_POOL: the name of your Cloud Run worker pool.
   • IMAGE_URL: a reference to the container image thatcontains the worker pool, such asus-docker.pkg.dev/cloudrun/container/worker-pool:latest.
   • SIZE: the chosen memory size.The format is a fixed or floating point number followed by a unit:G orM corresponding to gigabyte or megabyte,respectively, or use the power-of-two equivalents:Gi orMicorresponding to gibibyte or mebibyte respectively.

3. Create or update the worker pool using the following command:

   gcloudbetarunworker-poolsreplaceworkerpool.yaml

Terraform

To learn how to apply or remove a Terraform configuration, seeBasic Terraform commands.

resource"google_cloud_run_v2_worker_pool""default"{name="WORKER_POOL"location="REGION"launch_stage="BETA"template{containers{image="IMAGE_URL"resources{limits={memory="SIZE"}}}}}

Replace the following:

• WORKER_POOL: the name of the worker pool.
• REGION: the Google Cloud region. For example,europe-west1.
• IMAGE_URL: a reference to the container image thatcontains the worker pool, such asus-docker.pkg.dev/cloudrun/container/worker-pool:latest
• SIZE: a memory size from theCPU and memory table.The format for size is a fixed or floating point number followedby a unit:G orM corresponding to gigabyte or megabyte,respectively, or use the power-of-two equivalents:Gi orMicorresponding to gibibyte or mebibyte respectively.