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  1. Step-by-step guides
  2. Managing a container
  3. Mounting external resources to a container file system
  4. Mounting a bucket

Mounting a bucket to a container

Written by
Yandex Cloud
Updated at May 5, 2025

You can mount Yandex Object Storage buckets to a container. Mounting a bucket automatically creates a new container revision.

To mount buckets to a container:

Management console
CLI
Terraform
API
  1. In the management console, go to the folder with your container.

  2. From the list of services, select Serverless Containers.

  3. Select the container.

  4. Navigate to the Editor tab.

  5. In the Settings section, select or create a new service account with one of these roles:

    • storage.viewer to only read data from the mounted bucket.
    • storage.uploader to read and write data from/to the mounted bucket.
  6. Under Mounted buckets:

    1. Click Add bucket.

    2. Specify the following in the field:

      • Mount path: Absolute mount path. Use this path to access the directory the bucket will be mounted to.

        Do not use this path for anything other than an empty directory; otherwise, the container initialization may result in an error, and the mounted buckets will become unavailable.

      • Bucket: Bucket you want to mount. Create a new bucket if needed.

      • Directory: Bucket directory that will be mounted to the container. Leave this field empty to mount the entire bucket.

    3. Enable Read-only to disable writing to the bucket. With this option on, data from the mounted bucket will be read-only.

    To mount an additional bucket to the container, click Add bucket again and configure the parameters as needed.

  7. Click Create revision.

If you do not have the Yandex Cloud CLI yet, install and initialize it.

The folder specified when creating the CLI profile is used by default. To change the default folder, use the yc config set folder-id <folder_ID> command. You can specify a different folder using the --folder-name or --folder-id parameter.

Run this command:

yc serverless container revision deploy \
  --container-name <container_name> \
  --image <Docker_image_URL> \
  --memory <RAM_size> \
  --execution-timeout <execution_timeout> \
  --service-account-id <service_account_ID> \
  --command '<command_1>','<command_2>' \
  --args '<key_1=value_1>','<key_2=value_2>' \
  --mount type=object-storage,mount-point=<mount_path>,bucket=<bucket_name>,prefix=<directory_name>,mode=<mount_mode>

Where:

  • --container-name: Container name.

  • --image: URL of the Docker image you are creating a container revision from in the following format: cr.yandex/<registry_ID>/<Docker_image_name>:<tag>.

  • --memory: Required RAM.

  • --execution-timeout: Maximum container execution time before timeout.

  • --service-account-id: Service account ID. The service account needs the storage.viewer role to read from the bucket or the storage.uploader role to both read and write.

  • --command: Commands the container will run when started. Separate them by commas. It matches the ENTRYPOINT instruction in the Dockerfile.

  • --args: Arguments matching the CMD instruction in the Dockerfile. Specify them in key = value format separated by commas. If you do not specify this parameter, the default CMD value from the Docker image will be used.

  • --mount: Object Storage bucket mounting parameters:

    • type: Mounted storage type. For a bucket, the value is always object-storage.
    • mount-point: Absolute mount path. Use this path to access the directory the bucket will be mounted to.
    • bucket: Bucket name.
    • prefix: Bucket folder that will be mounted to the container. Skip this field or leave it empty to mount the entire bucket.
    • mode: Bucket mount mode, ro (read-only) or rw (read and write).

    To mount several buckets to the container at the same time, set the --mount parameter as many times as you need.

With Terraform, you can quickly create a cloud infrastructure in Yandex Cloud and manage it using configuration files. These files store the infrastructure description written in HashiCorp Configuration Language (HCL). If you change the configuration files, Terraform automatically detects which part of your configuration is already deployed, and what should be added or removed.

Terraform is distributed under the Business Source License. The Yandex Cloud provider for Terraform is distributed under the MPL-2.0 license.

For more information about the provider resources, see the documentation on the Terraform website or mirror website.

If you do not have Terraform yet, install it and configure its Yandex Cloud provider.

  1. Open the Terraform configuration file and add the mounts section to the container description:

    resource "yandex_serverless_container" "test-container" {
      ...
    
      mounts {
        mount_point_path = "<mount_point>"
        mode             = "<mount_mode>"
        object_storage {
          bucket = "<bucket_name>"
          prefix = "<directory_name>"
        }
      }
    }
    

    Where:

    • mounts: Object Storage bucket mounting parameters:

      • mount_point_path: Absolute mount path. Use this path to access the directory the bucket will be mounted to.
      • mode: Bucket mount mode, ro (read-only) or rw (read and write).
      • object_storage: Bucket parameters:
        • bucket: Bucket name.
        • prefix: Bucket folder that will be mounted to the container. Leave this field empty to mount the entire bucket.

      To mount several buckets to the container at the same time, set the mounts section as many times as you need.

    For more information about the yandex_serverless_container resource parameters, see this Terraform article.

  2. Apply the changes:

    1. In the terminal, change to the folder where you edited the configuration file.

    2. Make sure the configuration file is correct using the command:

      terraform validate
      

      If the configuration is correct, the following message is returned:

      Success! The configuration is valid.
      
    3. Run the command:

      terraform plan
      

      The terminal will display a list of resources with parameters. No changes are made at this step. If the configuration contains errors, Terraform will point them out.

    4. Apply the configuration changes:

      terraform apply
      
    5. Confirm the changes: type yes in the terminal and press Enter.

You can check the container revision update and its settings using the management console or this CLI command:

yc serverless container revision get <container_revision_ID>

Use the deployRevision REST API method for the Container resource or the ContainerService/DeployRevision gRPC API call.

See alsoSee also

  • Mounting external resources to a container file system
  • Mounting external resources to a function file system

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