serverless/docs/providers/aws/guide/variables.md

Serverless Framework - Build web, mobile and IoT applications with serverless architectures using AWS Lambda, Azure Functions, Google CloudFunctions & more

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### [Read this on the main serverless docs site](https://www.serverless.com/framework/docs/providers/aws/guide/variables)

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# Variables

Variables allow users to dynamically replace config values in `serverless.yml` config.

They are especially useful when providing secrets for your service to use and when you are working with multiple stages.

## Syntax

To use variables, you will need to reference values enclosed in `${}` brackets.

```yml
# serverless.yml file
yamlKeyXYZ: ${variableSource} # see list of current variable sources below
# this is an example of providing a default value as the second parameter
otherYamlKey: ${variableSource, defaultValue}
```

You can define your own variable syntax (regex) if it conflicts with CloudFormation's syntax.

**Note:** You can only use variables in `serverless.yml` property **values**, not property keys. So you can't use variables to generate dynamic logical IDs in the custom resources section for example.

## Current variable sources:

- [Serverless Core variables](#referencing-serverless-core-variables)
- [Environment variables](#referencing-environment-variables)
- [CLI options](#referencing-cli-options)
- [Other properties defined in `serverless.yml`](#reference-properties-in-serverlessyml)
- [External YAML/JSON files](#reference-variables-in-other-files)
- [Variables from S3](#referencing-s3-objects)
- [Variables from AWS SSM Parameter Store](#reference-variables-using-the-ssm-parameter-store)
- [Variables from AWS Secrets Manager](#reference-variables-using-aws-secrets-manager)
- [CloudFormation stack outputs](#reference-cloudformation-outputs)
- [Properties exported from Javascript files (sync or async)](#reference-variables-in-javascript-files)
- [Pseudo Parameters Reference](#pseudo-parameters-reference)
- [Read String Variable Values as Boolean Values](#read-string-variable-values-as-boolean-values)

## Casting string variables to boolean values

## Recursively reference properties

You can also **Recursively reference properties** with the variable system. This means you can combine multiple values and variable sources for a lot of flexibility.

For example:

```yml
provider:
  name: aws
  environment:
    MY_SECRET: ${file(./config.${opt:stage, self:provider.stage, 'dev'}.json):CREDS}
```

If `sls deploy --stage qa` is run, the option `stage=qa` is used inside the `${file(./config.${opt:stage, self:provider.stage, 'dev'}.json):CREDS}` variable and it will resolve the `config.qa.json` file and use the `CREDS` key defined.

**How that works:**

1. stage is set to `qa` from the option supplied to the `sls deploy --stage qa` command
2. `${opt:stage, self:provider.stage, 'dev'}` resolves to `qa` and is used in `${file(./config.${opt:stage, self:provider.stage, 'dev'}.json):CREDS}`
3. `${file(./config.qa.json):CREDS}` is found & the `CREDS` value is read
4. `MY_SECRET` value is set

Likewise, if `sls deploy --stage prod` is run the `config.prod.json` file would be found and used.

If no `--stage` flag is provided, the fallback `dev` will be used and result in `${file(./config.dev.json):CREDS}`.

## Reference Properties In serverless.yml

To self-reference properties in `serverless.yml`, use the `${self:someProperty}` syntax in your `serverless.yml`. `someProperty` can contain the empty string for a top-level self-reference or a dotted attribute reference to any depth of attribute, so you can go as shallow or deep in the object tree as you want.

```yml
service: new-service
provider: aws
custom:
  globalSchedule: rate(10 minutes)
  newService: ${self:}
  # the following will resolve identically in other serverless.yml files so long as they define
  # `custom.newService: ${file(<relative-path-to-this-file>/serverless.yml)}`
  exportName: ${self:custom.newService.service}-export

functions:
  hello:
    handler: handler.hello
    events:
      - schedule: ${self:custom.globalSchedule}
  world:
    handler: handler.world
    events:
      - schedule: ${self:custom.globalSchedule}
resources:
  Outputs:
    NewServiceExport:
      Value: 'A Value To Export'
      Export:
        Name: ${self:custom.exportName}
```

In the above example you're setting a global schedule for all functions by referencing the `globalSchedule` property in the same `serverless.yml` file. This way, you can easily change the schedule for all functions whenever you like.

## Referencing Serverless Core Variables

Serverless initializes core variables which are used internally by the Framework itself. Those values are exposed via the Serverless Variables system and can be re-used with the `{sls:}` variable prefix.

The following variables are available:

**instanceId**

A random id which will be generated whenever the Serverless CLI is run. This value can be used when predictable random variables are required.

```yml
service: new-service
provider: aws

functions:
  func1:
    name: function-1
    handler: handler.func1
    environment:
      APIG_DEPLOYMENT_ID: ApiGatewayDeployment${sls:instanceId}
```

## Referencing Environment Variables

To reference environment variables, use the `${env:SOME_VAR}` syntax in your `serverless.yml` configuration file. It is valid to use the empty string in place of `SOME_VAR`. This looks like "`${env:}`" and the result of declaring this in your `serverless.yml` is to embed the complete `process.env` object (i.e. all the variables defined in your environment).

**Note:**

Keep in mind that sensitive information which is provided through environment variables can be written into less protected or publicly accessible build logs, CloudFormation templates, et cetera.

```yml
service: new-service
provider: aws
functions:
  hello:
    name: ${env:FUNC_PREFIX}-hello
    handler: handler.hello
  world:
    name: ${env:FUNC_PREFIX}-world
    handler: handler.world
```

In the above example you're dynamically adding a prefix to the function names by referencing the `FUNC_PREFIX` env var. So you can easily change that prefix for all functions by changing the `FUNC_PREFIX` env var.

## Referencing CLI Options

To reference CLI options that you passed, use the `${opt:some_option}` syntax in your `serverless.yml` configuration file. It is valid to use the empty string in place of `some_option`. This looks like "`${opt:}`" and the result of declaring this in your `serverless.yml` is to embed the complete `options` object (i.e. all the command line options from your `serverless` command).

```yml
service: new-service
provider: aws
functions:
  hello:
    name: ${opt:stage}-hello
    handler: handler.hello
  world:
    name: ${opt:stage}-world
    handler: handler.world
```

In the above example, you're dynamically adding a prefix to the function names by referencing the `stage` option that you pass in the CLI when you run `serverless deploy --stage dev`. So when you deploy, the function name will always include the stage you're deploying to.

## Reference CloudFormation Outputs

You can reference CloudFormation stack output values as the source of your variables to use in your service with the `cf:stackName.outputKey` syntax. For example:

```yml
service: new-service
provider: aws
functions:
  hello:
    name: ${cf:another-service-dev.functionPrefix}-hello
    handler: handler.hello
  world:
    name: ${cf:another-stack.functionPrefix}-world
    handler: handler.world
```

In that case, the framework will fetch the values of those `functionPrefix` outputs from the provided stack names and populate your variables. There are many use cases for this functionality and it allows your service to communicate with other services/stacks.

You can add such custom output to CloudFormation stack. For example:

```yml
service: another-service
provider:
  name: aws
  runtime: nodejs12.x
  region: ap-northeast-1
  memorySize: 512
functions:
  hello:
    name: ${self:custom.functionPrefix}hello
    handler: handler.hello
custom:
  functionPrefix: 'my-prefix-'
resources:
  Outputs:
    functionPrefix:
      Value: ${self:custom.functionPrefix}
      Export:
        Name: functionPrefix
    memorySize:
      Value: ${self:provider.memorySize}
      Export:
        Name: memorySize
```

You can also reference CloudFormation stack in another regions with the `cf.REGION:stackName.outputKey` syntax. For example:

```yml
service: new-service
provider: aws
functions:
  hello:
    name: ${cf.us-west-2:another-service-dev.functionPrefix}-hello
    handler: handler.hello
  world:
    name: ${cf.ap-northeast-1:another-stack.functionPrefix}-world
    handler: handler.world
```

You can reference [CloudFormation stack outputs export values](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/outputs-section-structure.html) as well. For example:

```yml
# Make sure you set export value in StackA.

  Outputs:
    DynamoDbTable:
      Value:
        "Ref": DynamoDbTable
      Export:
        Name: DynamoDbTable-${self:custom.stage}

# Then you can reference the export name in StackB

provider:
  environment:
    Table:
        'Fn::ImportValue': 'DynamoDbTable-${self:custom.stage}'
```

## Referencing S3 Objects

You can reference S3 values as the source of your variables to use in your service with the `s3:bucketName/key` syntax. For example:

```yml
service: new-service
provider: aws
functions:
  hello:
    name: ${s3:myBucket/myKey}-hello
    handler: handler.hello
```

In the above example, the value for `myKey` in the `myBucket` S3 bucket will be looked up and used to populate the variable.
Buckets from all regions can be used without any additional specification due to AWS S3 global strategy.

## Reference Variables using the SSM Parameter Store

You can reference SSM Parameters as the source of your variables with the `ssm:/path/to/param` syntax. For example:

```yml
service: ${ssm:/path/to/service/id}-service
provider:
  name: aws
functions:
  hello:
    name: ${ssm:/path/to/service/myParam}-hello
    handler: handler.hello
```

In the above example, the value for the SSM Parameters will be looked up and used to populate the variables.

You can also reference encrypted SSM Parameters, of type SecureString, using the extended syntax, `ssm:/path/to/secureparam~true`.

```yml
service: new-service
provider: aws
functions:
  hello:
    name: hello
    handler: handler.hello
custom:
  supersecret: ${ssm:/path/to/secureparam~true}
```

In this example, the serverless variable will contain the decrypted value of the SecureString.

For StringList type parameters, you can optionally split the resolved variable into an array using the extended syntax, `ssm:/path/to/stringlistparam~split`.

```yml
service: new-service
provider: aws
functions:
  hello:
    name: hello
    handler: handler.hello
custom:
  myArrayVar: ${ssm:/path/to/stringlistparam~split}
```

You can also reference SSM Parameters in another region with the `ssm.REGION:/path/to/param` syntax. For example:

```yml
service: ${ssm.us-west-2:/path/to/service/id}-service
provider:
  name: aws
functions:
  hello:
    name: ${ssm.ap-northeast-1:/path/to/service/myParam}-hello
    handler: handler.hello
```

## Reference Variables using AWS Secrets Manager

Variables in [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/) can be referenced [using SSM](https://docs.aws.amazon.com/systems-manager/latest/userguide/integration-ps-secretsmanager.html). Use the `ssm:/aws/reference/secretsmanager/secret_ID_in_Secrets_Manager~true` syntax(note `~true` as secrets are always encrypted). For example:

```yml
service: new-service
provider: aws
functions:
  hello:
    name: hello
    handler: handler.hello
custom:
  supersecret: ${ssm:/aws/reference/secretsmanager/secret_ID_in_Secrets_Manager~true}
```

In this example, the serverless variable will contain the decrypted value of the secret.

Variables can also be object, since AWS Secrets Manager can store secrets not only in plain text but also in JSON.

If the above secret `secret_ID_in_Secrets_Manager` is something like below,

```json
{
  "num": 1,
  "str": "secret",
  "arr": [true, false]
}
```

variables will be resolved like

```yml
service: new-service
provider: aws
functions:
  hello:
    name: hello
    handler: handler.hello
custom:
  supersecret:
    num: 1
    str: secret
    arr:
      - true
      - false
```

## Reference Variables in Other Files

You can reference variables in other YAML or JSON files. To reference variables in other YAML files use the `${file(./myFile.yml):someProperty}` syntax in your `serverless.yml` configuration file. To reference variables in other JSON files use the `${file(./myFile.json):someProperty}` syntax. It is important that the file you are referencing has the correct suffix, or file extension, for its file type (`.yml` for YAML or `.json` for JSON) in order for it to be interpreted correctly. Here's an example:

```yml
# myCustomFile.yml
globalSchedule: rate(10 minutes)
```

```yml
# serverless.yml
service: new-service
provider: aws
custom: ${file(./myCustomFile.yml)} # You can reference the entire file
functions:
  hello:
    handler: handler.hello
    events:
      - schedule: ${file(./myCustomFile.yml):globalSchedule} # Or you can reference a specific property
  world:
    handler: handler.world
    events:
      - schedule: ${self:custom.globalSchedule} # This would also work in this case
```

In the above example, you're referencing the entire `myCustomFile.yml` file in the `custom` property. You need to pass the path relative to your service directory. You can also request specific properties in that file as shown in the `schedule` property. It's completely recursive and you can go as deep as you want. Additionally you can request properties that contain arrays from either YAML or JSON reference files. Here's a YAML example for an events array:

```yml
myevents:
  - schedule:
      rate: rate(1 minute)
```

and for JSON:

```json
{
  "myevents": [
    {
      "schedule": {
        "rate": "rate(1 minute)"
      }
    }
  ]
}
```

In your `serverless.yml`, depending on the type of your source file, either have the following syntax for YAML:

```yml
functions:
  hello:
    handler: handler.hello
    events: ${file(./myCustomFile.yml):myevents}
```

or for a JSON reference file use this syntax:

```yml
functions:
  hello:
    handler: handler.hello
    events: ${file(./myCustomFile.json):myevents}
```

**Note:** If the referenced file is a symlink, the targeted file will be read.

## Reference Variables in Javascript Files

You can reference JavaScript files to add dynamic data into your variables.

References can be either named or unnamed exports. To use the exported `someModule` in `myFile.js` you'd use the following code `${file(./myFile.js):someModule}`. For an unnamed export you'd write `${file(./myFile.js)}`. If you export a function, the first argument will be a reference to the Serverless object, containing your configuration.

Here are some examples:

```js
// scheduleConfig.js
module.exports.rate = 'rate(10 minutes)';
```

```js
// config.js
module.exports = (serverless) => {
  serverless.cli.consoleLog('You can access Serverless config and methods as well!');

  return {
    property1: 'some value',
    property2: 'some other value',
  };
};
```

```yml
# serverless.yml
service: new-service
provider: aws

custom: ${file(./config.js)}

functions:
  hello:
    handler: handler.hello
    events:
      - schedule: ${file(./scheduleConfig.js):rate} # Reference a specific module
```

You can also return an object and reference a specific property. Just make sure you are returning a valid object and referencing a valid property:

```yml
# serverless.yml
service: new-service
provider: aws
functions:
  scheduledFunction:
    handler: handler.scheduledFunction
    events:
      - schedule: ${file(./myCustomFile.js):schedule.ten}
```

```js
// myCustomFile.js
module.exports.schedule = () => {
  // Code that generates dynamic data
  return {
    ten: 'rate(10 minutes)',
    twenty: 'rate(20 minutes)',
    thirty: 'rate(30 minutes)',
  };
};
```

If your use case requires handling dynamic/async data sources (ie. DynamoDB, API calls...etc), you can also return a Promise that would be resolved as the value of the variable:

```yml
# serverless.yml
service: new-service
provider: aws
functions:
  scheduledFunction:
    handler: handler.scheduledFunction
    events:
      - schedule: ${file(./myCustomFile.js):promised}
```

```js
// myCustomFile.js
module.exports.promised = () => {
  // Async code that fetches the rate config...
  return Promise.resolve('rate(10 minutes)');
};
```

For example, in such helper you could call AWS SDK to get account details:

```js
// myCustomFile.js
const { STS } = require('aws-sdk');
const sts = new STS();

module.exports.getAccountId = async () => {
  // Checking AWS user details
  const { Account } = await sts.getCallerIdentity().promise();
  return Account;
};
```

```yml
# serverless.yml
service: new-service
provider: aws
custom:
  accountId: ${file(./myCustomFile.js):getAccountId}
```

## Multiple Configuration Files

Adding many custom resources to your `serverless.yml` file could bloat the whole file, so you can use the Serverless Variable syntax to split this up.

```yml
resources:
  Resources: ${file(cloudformation-resources.json)}
```

The corresponding resources which are defined inside the `cloudformation-resources.json` file will be resolved and loaded into the `Resources` section.

In order to use multiple resource files combined with resources inside the `serverless.yml` you can use an array.

```yml
resources:
  - Resources:
      ApiGatewayRestApi:
        Type: AWS::ApiGateway::RestApi

  - ${file(resources/first-cf-resources.yml)}
  - ${file(resources/second-cf-resources.yml)}

  - Outputs:
      CognitoUserPoolId:
      Value:
        Ref: CognitoUserPool
```

Each of your cloudformation files has to start with a `Resources` entity

```yml
Resources:
  Type: 'AWS::S3::Bucket'
  Properties:
    BucketName: some-bucket-name
```

## Nesting Variable References

The Serverless variable system allows you to nest variable references within each other for ultimate flexibility. So you can reference certain variables based on other variables. Here's an example:

```yml
service: new-service
provider: aws
custom:
  myFlexibleArn: ${env:${opt:stage}_arn}

functions:
  hello:
    handler: handler.hello
```

In the above example, if you pass `dev` as a stage option, the framework will look for the `dev_arn` environment variable. If you pass `production`, the framework will look for `production_arn`, and so on. This allows you to creatively use multiple variables by using a certain naming pattern without having to update the values of these variables constantly. You can go as deep as you want in your nesting, and can reference variables at any level of nesting from any source (env, opt, self or file).

## Overwriting Variables

The Serverless framework gives you an intuitive way to reference multiple variables as a fallback strategy in case one of the variables is missing. This way you'll be able to use a default value from a certain source, if the variable from another source is missing.

For example, if you want to reference the stage you're deploying to, but you don't want to keep on providing the `stage` option in the CLI. What you can do in `serverless.yml` is:

```yml
service: new-service
provider:
  name: aws
  stage: dev
custom:
  myStage: ${opt:stage, self:provider.stage}
  myRegion: ${opt:region, 'us-west-1'}
  myCfnRole: ${opt:role, false}
  myLambdaMemory: ${opt:memory, 1024}

functions:
  hello:
    handler: handler.hello
```

What this says is to use the `stage` CLI option if it exists, if not, use the default stage (which lives in `provider.stage`). So during development you can safely deploy with `serverless deploy`, but during production you can do `serverless deploy --stage production` and the stage will be picked up for you without having to make any changes to `serverless.yml`.

You can have as many variable references as you want, from any source you want, and each of them can be of different type and different name.

## Using Custom Variable Syntax

In some cases, the `${xxx}` variable syntax conflicts with some CloudFormation functionality. In that case you can provide a custom syntax to overwrite our default `${xxx}` syntax by setting the `provider.variableSyntax` property to the desired regex:

```yml
service: new-service

provider:
  name: aws
  runtime: nodejs12.x
  variableSyntax: "\\${{([ ~:a-zA-Z0-9._@\\'\",\\-\\/\\(\\)]+?)}}" # notice the double quotes for yaml to ignore the escape characters!
#  variableSyntax: "\\${((?!AWS)[ ~:a-zA-Z0-9._@'\",\\-\\/\\(\\)]+?)}" # Use this for allowing CloudFormation Pseudo-Parameters in your serverless.yml -- e.g. ${AWS::Region}. All other Serverless variables work as usual.

custom:
  myStage: ${{opt:stage}}
```

In this example, we're overwriting the default regex for our variable syntax. So whenever you define variables, you now need to use `${{}}` instead of `${}` (double curly brackets).

## Migrating serverless.env.yml

Previously we used the `serverless.env.yml` file to track Serverless Variables. It was a completely different system with different concepts. To migrate your variables from `serverless.env.yml`, you'll need to decide where you want to store your variables.

**Using a config file:** You can still use `serverless.env.yml`, but the difference now is that you can structure the file however you want, and you'll need to reference each variable/property correctly in `serverless.yml`. For more info, you can check the file reference section above.

**Using the same `serverless.yml` file:** You can store your variables in `serverless.yml` if they don't contain sensitive data, and then reference them elsewhere in the file using `self:someProperty`. For more info, you can check the self reference section above.

**Using environment variables:** You can instead store your variables in environment variables and reference them with `env.someEnvVar`. For more info, you can check the environment variable reference section above.

**Making your variables stage/region specific:** `serverless.env.yml` allowed you to have different values for the same variable based on the stage/region you're deploying to. You can achieve the same result by using the nesting functionality of the new variable system. For example, if you have two different ARNs, one for `dev` stage and the other for `prod` stage, you can do the following: `${env:${opt:stage}_arn}`. This will make sure the correct env var is referenced based on the stage provided as an option. Of course you'll need to export both `dev_arn` and `prod_arn` env vars on your local system.

Now you don't need `serverless.env.yml` at all, but you can still use it if you want. It's just not required anymore. Migrating to the new variable system is easy and you just need to know how the new system works and make small adjustments to how you store & reference your variables.

## Pseudo Parameters Reference

You can reference [AWS Pseudo Parameters](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/pseudo-parameter-reference.html)

Here's an example:

```yml
Resources:
  - 'Fn::Join':
      - ':'
      - - 'arn:aws:logs'
        - Ref: 'AWS::Region'
        - Ref: 'AWS::AccountId'
        - 'log-group:/aws/lambda/*:*:*'
```

## Read String Variable Values as Boolean Values

In some cases, a parameter expect a `true` or `false` boolean value. If you are using a variable to define the value, it may return as a string (e.g. when using SSM variables) and thus return a `"true"` or `"false"` string value.

To ensure a boolean value is returned, read the string variable value as a boolean value. For example:

```yml
provider:
  tracing:
    apiGateway: ${strToBool(${ssm:API_GW_DEBUG_ENABLED})}
```

These are examples that explain how the conversion works:

```plaintext
${strToBool(true)} => true
${strToBool(false)} => false
${strToBool(0)} => false
${strToBool(1)} => true
${strToBool(2)} => Error
${strToBool(null)} => Error
${strToBool(anything)} => Error
```