Adding function scaling settings

To configure:

• Any scaling setting other than the number of calls processed concurrently by a single function instance (concurrency), run this command:

  yc serverless function set-scaling-policy \
    --id=<function_ID> \
    --tag=\$latest \
    --zone-instances-limit=1 \
    --zone-requests-limit=2 \
    --provisioned-instances-count=3
  

  Where:

  • --id: Function ID. To find out the ID, request a list of functions.
  • --tag: Function version tag.
  • --zone-instances-limit: Number of function instances.
  • --zone-requests-limit: Number of calls in progress.
  • --provisioned-instances-count: Number of ready-to-go instances.

  Result:

  function_id: d4eokpuol55h********
  tag: $latest
  zone_instances_limit: "1"
  zone_requests_limit: "2"
  provisioned_instances_count: "3"
  

• Number of calls processed concurrently by a single function instance (concurrency), run this command:

  yc serverless function version create \
  --function-name=<function_name> \
  --runtime <runtime_environment> \
  --entrypoint <entry_point> \
  --memory 128m \
  --concurrency 2 \
  --execution-timeout 3s \
  --source-path <path_to_ZIP_archive>
  

  Where:

  • --function-name: Name of the function whose version you want to create.
  • --runtime: Function runtime environment.
  • --entrypoint: Entry point in the following format: <file_name_without_extension>.<listener_name>.
  • --memory: Amount of RAM.
  • --concurrency: Maximum number of calls processed concurrently by a single function instance.
  • --execution-timeout: Maximum function running time before the timeout is reached.
  • --source-path: ZIP archive with the function code and required dependencies.

  Result:

  done (1s)
  id: d4evvn8obisa********
  function_id: d4elpv8pft63********
  created_at: "2020-08-01T19:09:19.531Z"
  runtime: nodejs18
  entrypoint: index.handler
  resources:
  memory: "134217728"
  execution_timeout: 3s
  image_size: "4096"
  status: ACTIVE
  tags:
  - $latest
  log_options:
  folder_id: b1g681qpemb4********
  concurrency: "2"
  

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.

To add scaling settings:

1. In the configuration file, define the parameters of the resources you want to create:

   • yandex_function: Description of the function being created and its source code.
     • name: Function name.
     • user_hash: Any string to identify the function version. When the function changes, update this string, too. The function will update when this string is updated.
     • runtime: Function runtime environment.
     • entrypoint: Entry point in the following format: <file_name_without_extension>.<listener_name>.
     • memory: Amount of memory allocated for the function, in MB.
     • concurrency: Maximum number of calls processed concurrently by a single function instance.
     • execution_timeout: Maximum function running time before the timeout is reached.
     • service_account_id: ID of the service account to call the function under.
     • content: Function source code.
       • content.0.zip_filename: Name of the ZIP archive containing the function source code.
   • yandex_function_scaling_policy: Description of function scaling settings.
     • function_id: Function ID.
     • policy: Scaling settings:
       • policy.0.tag: Function version tag.
       • policy.0.zone_instances_limit: Number of function instances.
       • policy.0.zone_requests_limit: Number of calls in progress.

   Here is an example of the configuration file structure:

   provider "yandex" {
       token     = "<service_account_OAuth_token_or_static_key>"
       folder_id = "<folder_ID>"
       zone      = "ru-central1-a"
   }
   
   resource "yandex_function" "test-function" {
       name               = "<function_name>"
       user_hash          = "<hash>"
       runtime            = "<runtime_environment>"
       entrypoint         = "<entry_point>"
       memory             = "128"
       concurrency        = "2"
       execution_timeout  = "10"
       service_account_id = "<service_account_ID>"
       content {
           zip_filename = "<path_to_ZIP_archive>"
       }
   }
   
   resource "yandex_function_scaling_policy" "my_scaling_policy" {
       function_id = "<function_ID>"
       policy {
           tag = "$latest"
           zone_instances_limit = 2
           zone_requests_limit  = 1
       }
   }
   

   For more information about resource parameters, see yandex_function and yandex_function_scaling_policy.

2. Check the configuration using this command:

   terraform validate
   

   If the configuration is correct, you will get this message:

   Success! The configuration is valid.
   

3. Run this command:

   terraform plan
   

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

4. Apply the configuration changes:

   terraform apply
   

5. Confirm the changes: type yes into the terminal and press Enter.

You can check that the scaling settings are added using the management console or these CLI commands:

yc serverless function list-scaling-policies <function_name_or_ID>

yc serverless function version get <version_ID>

To configure any function scaling setting other than the number of calls processed concurrently by a single function instance (concurrency), use the setScalingPolicy REST API method for the Function resource or the FunctionService/SetScalingPolicy gRPC API call.

To set the number of calls processed concurrently by a single function instance (concurrency), create a function version using the createVersion REST API method for the Function resource or the FunctionService/CreateVersion gRPC API call. Add the concurrency field to the request body.

You can configure any function scaling setting other than the number of calls processed concurrently by a single function instance (concurrency) using the Yandex Cloud Toolkit plugin for the IDE family on the JetBrains IntelliJ platform.