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 theVolumes tab.

   

   • UnderVolumes, clickAdd volume.
     • In theVolume type drop-down, selectIn-memory.
     • In theVolume name field, enter the name you want to use for the volume.
     • ClickDone.
   • Click the Container tab.
   • Click theVolume Mounts tab.
   • ClickMount volume.
   • Select the in-memory volume from the menu.
   • Specify the path where you want to mount the volume.
   • ClickMount Volume.

5. ClickCreate orDeploy.

gcloud

• To add a volume and mount it:

  gcloudbetarunworker-poolsupdateWORKER_POOL\--add-volume=name=VOLUME_NAME,type=in-memory,size-limit=SIZE_LIMIT\--add-volume-mountvolume=VOLUME_NAME,mount-path=MOUNT_PATH

  Replace the following:

  • WORKER_POOL: the name of your worker pool.
  • VOLUME_NAME: any name you want for your volume. TheVOLUME_NAME value is used to map the volume to the volume mount.
  • MOUNT_PATH: the relative path within the containerfile system where you want to mount this volume, for example,/mnt/my-volume.
  • SIZE_LIMIT: the memory limit you want to assign to the volume, inMiB or GiB (specified as Mi or Gi)—for example,500Mi. This limitmust be less than thetotal memoryspecified for your containers.

• If you are using multiple containers, first specify the volumes, thenspecify the volume mounts for each container:

  gcloudbetarunworker-poolsupdateWORKER_POOL\--add-volume=name=VOLUME_NAME,type=in-memory,size-limit=SIZE_LIMIT\--container=CONTAINER_1\--add-volume-mount=volume=VOLUME_NAME,mount-path=MOUNT_PATH\--container=CONTAINER_2\--add-volume-mountvolume=VOLUME_NAME,mount-path=MOUNT_PATH2

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:-name:CONTAINER_NAMEimage:IMAGE_URLvolumeMounts:-name:VOLUME_NAMEmountPath:MOUNT_PATHvolumes:-name:VOLUME_NAMEemptyDir:medium:MemorysizeLimit:SIZE_LIMIT

   Replace the following:

   • WORKER_POOL: the name of your Cloud Run worker pool.
   • CONTAINER_NAME: the name of the container.
   • IMAGE_URL: a reference to the container image thatcontains the worker pool, such asus-docker.pkg.dev/cloudrun/container/worker-pool:latest
   • VOLUME_NAME: any name you want for your volume. TheVOLUME_NAME value is used to map the volume to the volume mount.
   • MOUNT_PATH: the relative path where you are mounting the volume, for example,/mnt/my-volume.
   • SIZE_LIMIT: the memory limit you want to assign to the volume, inMiB or GiB (specified as Mi or Gi), for example,500Mi. This limitmust be less than thetotal memoryspecified for your containers.

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.

To specify a single container, volume, and volume mount:

resource"google_cloud_run_v2_worker_pool""default"{name="WORKER_POOL"location="REGION"launch_stage="BETA"template{containers{image="IMAGE_URL"volume_mounts{name="VOLUME_NAME"mount_path="MOUNT_PATH"}}volumes{name="VOLUME_NAME"empty_dir{medium="MEMORY"size_limit="SIZE_LIMIT"}}}}

Replace the following:

• SERVICE_NAME: the name of your Cloud Run service.
• 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.
• VOLUME_NAME: any name you want for your volume. TheVOLUME_NAME value is used to map the volume to the volume mount.
• MOUNT_PATH: the relative path within the containerfile system where you want to mount this volume—for example,/mnt/my-volume.
• SIZE_LIMIT: the memory limit you want to assign to thevolume, in MiB or GiB (specified as Mi or Gi)—for example,500Mi. Thislimit must be less than thetotal memoryspecified for your containers.

To specify multiple containers, volumes, and volume mounts:

resource"google_cloud_run_v2_worker_pool""default"{name="WORKER_POOL"location="REGION"launch_stage="BETA"template{containers{image="IMAGE_URL"volume_mounts{name="VOLUME_NAME"mount_path="MOUNT_PATH"}}containers{image="IMAGE_URL_2"volume_mounts{name="VOLUME_NAME_2"mount_path="MOUNT_PATH_2"}}volumes{name="VOLUME_NAME"empty_dir{medium="MEMORY"size_limit="SIZE_LIMIT"}}volumes{name="VOLUME_NAME_2"empty_dir{medium="MEMORY"size_limit="SIZE_LIMIT_2"}}}}

Replace the following:

• SERVICE_NAME: the name of your Cloud Run service.
• REGION: the Google Cloud region—for example,europe-west1.
• IMAGE_URL,IMAGE_URL_2: a reference to the containerimage that contains the worker pool, such asus-docker.pkg.dev/cloudrun/container/worker-pool:latest.
• VOLUME_NAME,VOLUME_NAME_2: any name you want for yourvolume. This value is used to map the volume to the volume mount.
• MOUNT_PATH,MOUNT_PATH_2: the relative path within thecontainer file system where you want to mount this volume—for example,/mnt/my-volume.
• SIZE_LIMIT,SIZE_LIMIT_2: the memory limit you want toassign to the volume, in MiB or GiB (specified as Mi or Gi)—for example,500Mi. This limit must be less than thetotal memoryspecified for your containers.

Nodejs

Use the File System module to create a new file or append to an existing filein the volume,/mnt/my-volume:

var fs = require('fs');fs.appendFileSync('/mnt/my-volume/sample-logfile.txt', 'Hello logs!', { flag: 'a+' });

Python

Write to a file kept in the volume,/mnt/my-volume:

f = open("/mnt/my-volume/sample-logfile.txt", "a")

Go

Use theos package to create a new file kept in the volume,/mnt/my-volume:

f, err := os.Create("/mnt/my-volume/sample-logfile.txt")

Java

Use theJava.io.File class to create a log file in the volume,/mnt/my-volume:

import java.io.File;File f = new File("/mnt/my-volume/sample-logfile.txt");