What is StackLocal
AWS Stack Local is a command-line interface (CLI) tool that allows you to use AWS CloudFormation templates to create and manage local stacks in your development environment. Local stacks provide an easy way to develop and test your cloud applications locally, without the need for an internet connection or for creating actual resources in the cloud.
With AWS Stack Local, you can create and delete stacks, view stack events and resources, and view stack output. You can also use it to validate CloudFormation templates and perform drift detection on stacks.
To use AWS Stack Local, you need to install the AWS CLI and the AWS SAM CLI, and then configure your development environment to use the local endpoints for AWS services. For more information, see the AWS Stack Local documentation.
How to step by step create a StackLocal with Mac commandline
Here are the steps to create a Stack Local environment on your Mac using the command line:
1. Install the AWS CLI:
pip3 install awscli --upgrade --user
2. Install the AWS SAM CLI:
pip3 install aws-sam-cli --upgrade --user
3. Configure your AWS CLI credentials by running the following command and following the prompts:
4. Create a directory for your project and navigate to it:
mkdir my-project cd my-project
5. Initialize a new SAM project by running the following command:
sam init --runtime python3.8
6. This will create a new directory called hello-world with a basic SAM template and some example code. Navigate to the hello-world directory:
7. Run the following command to create a Stack Local environment:
sam local start-api
8. This will start a local instance of the API Gateway and the Lambda function specified in the SAM template. You can now test the API by sending a request to the local endpoint, which should be displayed in the output of the command.
9. To stop the Stack Local environment, press CTRL+C in the terminal window where the sam local start-api command is running.
That’s it! You should now have a working Stack Local environment on your Mac. You can use the AWS SAM CLI and the AWS CLI to manage and deploy your local stacks. For more information, see the AWS Stack Local documentation.
Aws StackLocal with SNS commandline Example
Here is an example of how you can use AWS Stack Local with the Simple Notification Service (SNS) using the command line on a Mac:
Follow the steps 1-4 from the previous example to install and configure the AWS CLI and the AWS SAM CLI, and create a new directory for your project.
Create a new file called template.yaml in your project directory with the following content:
AWSTemplateFormatVersion: '2010-09-09' Transform: AWS::Serverless-2016-10-31 Resources: MyTopic: Type: AWS::SNS::Topic MyFunction: Type: AWS::Serverless::Function Properties: FunctionName: my-function Runtime: python3.8 CodeUri: src/ Handler: index.lambda_handler Events: MyEvent: Type: SNS Properties: Topic: !Ref MyTopic
This template creates an SNS topic and a Lambda function that is triggered when a message is published to the topic.
3. Create a file called src/index.py in your project directory with the following content:
def lambda_handler(event, context): print(event)
This is a basic Lambda function that simply prints the event data to the console when it is triggered.
4. Run the following command to create a Stack Local environment:
sam local start-api
5. This will start a local instance of the API Gateway and the Lambda function specified in the SAM template. The output of the command will show the local endpoint for the API.
6. In a new terminal window, run the following command to publish a message to the SNS topic:
aws sns publish --topic-arn arn:aws:sns:us-east-1:123456789012:MyTopic --message "Hello, world!"
Replace 123456789012 with your own AWS account ID.
This will trigger the Lambda function and you should see the event data printed to the console in the terminal window where the sam local start-api command is running.
To stop the Stack Local environment, press CTRL+C in the terminal window where the sam local start-api command is running.
Springboot with Aws StackLocal Example
Here is an example of how you can use AWS LocalStack with a Spring Boot application to develop and test your application locally:
1. Install the AWS CLI and the AWS SAM CLI by running the following commands:
pip3 install awscli --upgrade --user pip3 install aws-sam-cli --upgrade --user
2. Configure your AWS CLI credentials by running the following command and following the prompts:
3. Install the LocalStack Docker image by running the following command:
docker pull localstack/localstack
4. Start the LocalStack Docker container by running the following command:
docker run -p 4566-4599:4566-4599 -e SERVICES=s3,dynamodb,sqs localstack/localstack
This will start a LocalStack container with the S3, DynamoDB, and SQS services. You can specify other services by modifying the SERVICES environment variable.
5. In your Spring Boot application, add the following dependency to your pom.xml file:
com.amazonaws aws-java-sdk-localstack 1.11.823
This will allow you to use the AWS Java SDK with LocalStack.
6. In your application code, use the LocalstackEndpointConfiguration class to specify the local endpoint for the AWS service you want to use. For example, to use the S3 service with LocalStack, you can do the following:
AmazonS3 s3Client = AmazonS3ClientBuilder .standard() .withEndpointConfiguration(new LocalstackEndpointConfiguration("http://localhost:4566")) .build();
7. You can now use the s3Client object to perform operations on the S3 service, such as creating buckets and uploading objects.
Aws StackLocal commandline example
Here are some common AWS Stack Local commands that you can use from the command line:
- sam local start-api: Start a local instance of the API Gateway and the Lambda functions specified in the SAM template.
- sam local generate-event apigateway
: Generate an event of the specified type (e.g., apigateway:POST) and send it to the local API Gateway.
- sam local invoke
: Invoke the specified Lambda function locally.
- sam local start-lambda: Start a local instance of the Lambda runtime and run the functions specified in the SAM template.
- sam local start-function
: Start a local instance of the specified Lambda function.
- sam local validate: Validate the SAM template.
- sam local package: Package the SAM template and the function code for deployment.
- sam local deploy: Deploy the packaged template and code to the cloud.
For a complete list of commands and options, see the AWS SAM CLI documentation.