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A service is like a project. It's where you define your AWS Lambda Functions, the events that trigger them and any AWS infrastructure resources they require, all in a file called serverless.yml.

To get started building your first Serverless Framework project, create a service.


In the beginning of an application, many people use a single Service to define all of the Functions, Events and Resources for that project. This is what we recommend in the beginning.

  serverless.yml  # Contains all functions and infrastructure resources

However, as your application grows, you can break it out into multiple services. A lot of people organize their services by workflows or data models, and group the functions related to those workflows and data models together in the service.

  serverless.yml # Contains 4 functions that do Users CRUD operations and the Users database
  serverless.yml # Contains 4 functions that do Posts CRUD operations and the Posts database
  serverless.yml # Contains 4 functions that do Comments CRUD operations and the Comments database

This makes sense since related functions usually use common infrastructure resources, and you want to keep those functions and resources together as a single unit of deployment, for better organization and separation of concerns.

Note: Currently, every service will create a separate REST API on AWS API Gateway. Due to a limitation with AWS API Gateway, you can only have a custom domain per one REST API. If you plan on making a large REST API, please make note of this limitation. Also, a fix is in the works and is a top priority.


To create a service, use the create command. You must also pass in a runtime (e.g., node.js, python etc.) you would like to write the service in. You can also pass in a path to create a directory and auto-name your service:

# Create service with nodeJS template in the folder ./myService
serverless create --template aws-nodejs --path myService

Here are the available runtimes for AWS Lambda:

  • aws-nodejs
  • aws-python
  • aws-java-gradle
  • aws-java-maven
  • aws-scala-sbt
  • aws-csharp

Check out the create command docs for all the details and options.


You'll see the following files in your working directory:

  • serverless.yml
  • handler.js


Each service configuration is managed in the serverless.yml file. The main responsibilities of this file are:

  • Declare a Serverless service
  • Define one or more functions in the service
  • Define the provider the service will be deployed to (and the runtime if provided)
  • Define any custom plugins to be used
  • Define events that trigger each function to execute (e.g. HTTP requests)
  • Define a set of resources (e.g. 1 DynamoDB table) required by the functions in this service
  • Allow events listed in the events section to automatically create the resources required for the event upon deployment
  • Allow flexible configuration using Serverless Variables

You can see the name of the service, the provider configuration and the first function inside the functions definition which points to the handler.js file. Any further service configuration will be done in this file.

# serverless.yml

service: users

  name: aws
  runtime: nodejs4.3
  stage: dev # Set the default stage used. Default is dev
  region: us-east-1 # Overwrite the default region used. Default is us-east-1
  profile: production # The default profile to use with this service
  memorySize: 512 # Overwrite the default memory size. Default is 1024
  deploymentBucket: com.serverless.${self:provider.region}.deploys # Overwrite the default deployment bucket
  versionFunctions: false # Optional function versioning
  stackTags: # Optional CF stack tags
   key: value
  stackPolicy: # Optional CF stack policy. The example below allows updates to all resources except deleting/replacing EC2 instances (use with caution!)
    - Effect: Allow
      Principal: "*"
      Action: "Update:*"
      Resource: "*"
    - Effect: Deny
      Principal: "*"
        - Update:Replace
        - Update:Delete
            - AWS::EC2::Instance

  usersCreate: # A Function
    handler: users.create
    events: # The Events that trigger this Function
      - http: post users/create
  usersDelete: # A Function
    handler: users.delete
    events:  # The Events that trigger this Function
      - http: delete users/delete

# The "Resources" your "Functions" use.  Raw AWS CloudFormation goes in here.
      Type: AWS::DynamoDB::Table
        TableName: usersTable
          - AttributeName: email
            AttributeType: S
          - AttributeName: email
            KeyType: HASH
          ReadCapacityUnits: 1
          WriteCapacityUnits: 1

Every serverless.yml translates to a single AWS CloudFormation template and a CloudFormation stack is created from that resulting CloudFormation template.


The handler.js file contains your function code. The function definition in serverless.yml will point to this handler.js file and the function exported here.


Note: This file is not created by default

Create this file and add event data so you can invoke your function with the data via serverless invoke -p event.json


When you deploy a Service, all of the Functions, Events and Resources in your serverless.yml are translated to an AWS CloudFormation template and deployed as a single CloudFormation stack.

To deploy a service, use the deploy command:

serverless deploy

Deployment defaults to dev stage and us-east-1 region on AWS, unless you specified these elsewhere, or add them in as options:

serverless deploy --stage prod --region us-east-1

Check out the deployment guide to learn more about deployments and how they work. Or, check out the deploy command docs for all the details and options.


To easily remove your Service from your AWS account, you can use the remove command.

Run serverless remove -v to trigger the removal process. As in the deploy step we're also running in the verbose mode so you can see all details of the remove process.

Serverless will start the removal and informs you about it's process on the console. A success message is printed once the whole service is removed.

The removal process will only remove the service on your provider's infrastructure. The service directory will still remain on your local machine so you can still modify and (re)deploy it to another stage, region or provider later on.

#Version Pinning

The Serverless framework is usually installed globally via npm install -g serverless. This way you have the Serverless CLI available for all your services.

Installing tools globally has the downside that the version can't be pinned inside package.json. This can lead to issues if you upgrade Serverless, but your colleagues or CI system don't. You can now use a new feature in your serverless.yml which is available only in the latest version without worrying that your CI system will deploy with an old version of Serverless.

#Pinning a Version

To configure version pinning define a frameworkVersion property in your serverless.yaml. Whenever you run a Serverless command from the CLI it checks if your current Serverless version is matching the frameworkVersion range. The CLI uses Semantic Versioning so you can pin it to an exact version or provide a range. In general we recommend to pin to an exact version to ensure everybody in your team has the exact same setup and no unexpected problems happen.


#Exact Version

# serverless.yml

frameworkVersion: "=1.0.3"

service: users

  name: aws
  runtime: nodejs4.3
  memorySize: 512

#Version Range

# serverless.yml

frameworkVersion: ">=1.0.0 <2.0.0"

service: users

  name: aws
  runtime: nodejs4.3
  memorySize: 512