serverless-aws-servicecatalog
v2.1.0
Published
A plugin to allow the provisioning of AWS Service Catalog products with the Serverless Framework
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serverless-aws-service-catalog
A plugin to allow the provisioning of AWS Service Catalog products with serverless
Serverless Framework versions
This plugin is now targeted at serverless@2, if you are using serverless@1 use v1.2.1
.
Install
npm install --save-dev serverless-aws-servicecatalog
Alternatively you may package the plugin npm pack
and install it with npm from the tarball.
Add the plugin to your serverless.yml
file:
plugins:
- serverless-aws-servicecatalog
Sample Configuration
provider:
name: aws
runtime: python2.7
deploymentBucket: serverless-src-1234567890
scProductId: prod-hpzfzam5x5vac
scProductVersion: v1.2
region: us-east-1
stage: dev
tags:
product: 'my api'
provisioningParameters:
EndpointType: REGIONAL
Example
There are 2 ways to setup the example, using the launch-stack button or manually from your own S3 bucket. Both methods result in a
AWS CloudFormation stack with outputs that will be used as parameters in the serverless.yml
config.
Express Setup using launch-stack
Click the button below to setup your account. https://s3.amazonaws.com/aws-service-catalog-reference-architectures/serverless/sc-portfolio-serverless.yml
Allow end users to deploy:
If you are using IAM users for deployment then go to the ServiceCatalogEndUsers parameter, enter a comma delimited list of users to add to the generated group.
If you are using role based authentication then supply up to 2 role names in the LinkedRole1 and LinkedRole2 parameters.
Click Next, Next and check the acknowledgement checkboxes in the blue Capabilities box at the bottom
Click Create. Then wait for the stack to complete and go to the "Configure the serveless.yml in your lambda project" section below.
Manually Setup using your own S3 bucket
- Copy the files from the templates directory to your S3 bucket
aws s3 cp ./custom-serverless-plugins/serverless-aws-service-catalog/templates s3://$S3BUCKET --exclude "*" --include "*.yml" --recursive
Create the Cloudformation stack from the portfolio template. To allow end users to deploy you will need to edit the params of the CloudFormation template:
If you are using IAM users for deployment then go to the ServiceCatalogEndUsers parameter, enter a comma delimited list of users to add to the generated group. For this example an IAM user is supplied using the
SERVERLESS_USER
variableIf you are using role based authentication then supply up to 2 role names in the LinkedRole1 and LinkedRole2 parameters.
export S3BUCKET=yourBucketName
export SERVERLESS_USER=yourAwsServerlessUser
aws cloudformation create-stack --stack-name Serverless-SC-Portfolio-Stack --template-url "https://s3.amazonaws.com/$S3BUCKET/serverless/sc-portfolio-serverless.yml" --parameters ParameterKey=PorfolioName,ParameterValue=ServerlessPortfolio ParameterKey=RepoRootURL,ParameterValue="https://s3.amazonaws.com/$S3BUCKET/" ParameterKey=ServiceCatalogEndUsers,ParameterValue=$SERVERLESS_USER --capabilities CAPABILITY_NAMED_IAM
(note: trailing / is required on the RepoRootUrl param)
Configure your Serverless Framework project
Regardless of how you deployed the CloudFormation above, you now need to copy the output values from CloudFormation to your serverless.yml
file.
This is only covering the AWS provider section and assumes you have a complete config for serverless. See the Serverless Framework examples for more details.
get the output params a. using the cli
aws cloudformation describe-stacks --stack-name Serverless-SC-Portfolio-Stack
b. or in the AWS CloudFormation Console
- in CloudFormation, open the Serverless-SC-Portfolio-Stack stack
- expand Outputs
under provider, enter the settings
- copy ServerlessDeploymentBucket to deploymentBucket
- copy serverlessProductId to scProductId
- copy serverlessProvisioningArtifactNames to scProductVersion
- enter the region, stage, runtime, and any tags as you normally would.
provider:
name: aws
runtime: python2.7
stage: dev
deploymentBucket: [deploymentbucket]
scProductId: [serverlessProductId] # Or use scProductName instead if you want to target your template's name
scProductVersion: [serverlessProvisioningArtifactNames]
region: us-east-1
tags:
product: 'my api'
Deploy
If you have modified the configuration and have your AWS credentials setup according to serverless instrcutions, you can now deploy as you normally would.
serverless deploy -v
Building a Custom Serverless Service Catalog Product
Custom parameters passed by the plugin
The plugin passes custom parameters for the following Serverless features: (see sc-serverless-lambda.yml)
- Vpc: supports the standard Serverless vpc configuration in serverless.yml
# serverless.yml
vpc:
securityGroupIds:
- "sg-XXXXXXXX"
subnetIds:
- "subnet-XXXXXXX"
# service catalog product yml
VpcSecurityGroups:
Type: CommaDelimitedList
Description: (optional) The list of security group ids of the VPC that needs to be accessed.
Default: ""
VpcSubnetIds:
Type: CommaDelimitedList
Description: (optional) The list of subnet Ids within the VPC that needs access to.
Default: ""
- Layers: supports a list of existing layers
# serverless.yml
layers:
- arn:aws:lambda:us-east-1:XXXXXXXXXX:layer:node_js_layer:1
# service catalog product yml
LambdaLayers:
Type: CommaDelimitedList
Description: "(optional) list of lambda layers for the function"
Default: ""
Using Custom Service Catalog Parameter Names
If you already have a service catalog product for Lambdas that has a different naming schema, you can still use that product. You can provide a renaming mapping in your serverless.yml
file like so:
provider:
scParameterMapping:
stage: SomeCustomStageName
name: MyLambdaParameterName
You can specify any of the following properties to be renamed (shown here with their default values):
provider:
scParameterMapping:
s3Bucket: S3Bucket
s3Key: S3Key
handler: Handler
name: LambdaName
memorySize: MemorySize
timeout: Timeout
runtime: Runtime
stage: LambdaStage
environmentVariablesJson: EnvironmentVariablesJson
vpcSecurityGroups: VpcSecurityGroups
vpcSubnetIds: VpcSubnetIds
lambdaLayers: LambdaLayers