README-DEPLOY.md

How to deploy the AWS Lambda Power Tuning tool

There are 5 deployment options for deploying the tool using Infrastructure as Code (IaC).

1. The easiest way is to deploy the app via the AWS Serverless Application Repository (SAR).
2. Using the AWS SAM CLI
3. Using the AWS CDK
4. Using Terraform by Hashicorp and SAR
5. Using native Terraform

Read more about the deployment parameters here.

Option 1: AWS Serverless Application Repository

You can find this app in the Serverless Application Repository and deploy it with just a few clicks in the AWS Management Console.

You can also integrate the SAR app in your existing CloudFormation stacks - check scripts/deploy-sar-app.yml and scripts/deploy-sar-app.sh for a sample implementation.

Option 2: Build and deploy with the AWS SAM CLI

Note: This method requires Docker.

1. Install the AWS SAM CLI in your local environment.

2. Configure your AWS credentials (requires AWS CLI installed):

   $ aws configure

3. Install Docker.

4. Clone this git repository:

   $ git clone https://github.com/alexcasalboni/aws-lambda-power-tuning.git

5. Build the Lambda layer and any other dependencies (Docker is required):

   $ cd ./aws-lambda-power-tuning
   $ sam build -u

   sam build -u will run SAM build using a Docker container image that provides an environment similar to that which your function would run in. SAM build in-turn looks at your AWS SAM template file for information about Lambda functions and layers in this project.

   Once the build completes successfully you will see output stating Build Succeeded. If the build is not successful, there will be error messages providing guidance on what went wrong.

6. Deploy the application using the guided SAM deploy mode:

   $ sam deploy -g

   • For Stack Name, enter a unique name for the stack.
   • For AWS Region, enter the region you want to deploy in.

   Accept the defaults for all other prompts.

   sam deploy -g provides simple prompts to walk you through the process of deploying the tool. The responses are saved in a configuration file, samconfig.toml, to be reused during subsequent deployments.

   SAM CLI will run the required commands to create the resources for the Lambda Power Tuning tool.

   A successful deployment displays the message Successfully created/updated stack.

7. To delete Lambda Power Tuning, run

   sam delete

   Answer Y to the prompts.

Option 3: Deploy the AWS SAR app with AWS CDK

1. Install AWS CDK.

   $ npm install -g aws-cdk

2. Bootstrap your account.

3. Configure your AWS credentials:

   $ aws configure

4. If you already have a CDK project you can include the following to use the sam module:

   import sam = require('@aws-cdk/aws-sam');
   
   new sam.CfnApplication(this, 'powerTuner', {
     location: {
       applicationId: 'arn:aws:serverlessrepo:us-east-1:451282441545:applications/aws-lambda-power-tuning',
       semanticVersion: '4.3.5'
     },
     parameters: {
       "lambdaResource": "*",
       "PowerValues": "128,256,512,1024,1536,3008"
     }
   })

Alternatively, you can build and deploy the solution from the source in this repo. See the following pages for language-specific instructions.

TypeScript

See the Typescript instructions

Python

See the Python instructions

go

See the go instructions

C#

See the Csharp instructions

Option 4: Deploy the SAR app with Terraform

Simply add the aws_serverlessapplicationrepository_cloudformation_stack resource below to your Terraform code and deploy as usual through terraform apply.

resource "aws_serverlessapplicationrepository_cloudformation_stack" "lambda-power-tuning" {
  name             = "lambda-power-tuner"
  application_id   = "arn:aws:serverlessrepo:us-east-1:451282441545:applications/aws-lambda-power-tuning"
  capabilities     = ["CAPABILITY_IAM"]
  # Uncomment the next line to deploy a specific version
  # semantic_version = "4.3.5"

  parameters = {
    # All of these parameters are optional and are only shown here for demonstration purposes
    # See https://github.com/alexcasalboni/aws-lambda-power-tuning/blob/master/README-INPUT-OUTPUT.md#state-machine-input-at-deployment-time
    # PowerValues           = "128,192,256,512,1024,2048,3072,4096,5120,6144,7168,8192,9216,10240"
    # lambdaResource        = "*"
    # totalExecutionTimeout = 900
    # visualizationURL      = "https://lambda-power-tuning.show/"
  }
}

See the Terraform documentation for more configuration options of aws_serverlessapplicationrepository_cloudformation_stack.

If you don't yet have a Terraform project, check out the Terraform introduction.

Option 5: Deploy natively with Terraform

The Terraform modules are located in the terraform directory. Deployment documentation is here.

How to execute the state machine once deployed

See the execution instructions to run the state machine.