Repository with code samples for the LocalStack workshop.

Note: The project can either be cloned and installed on your local machine, or you can spin up a remote development environment (Gitpod, or Github Codespaces) to access the project directly from your browser.

• Option 1: Open the project in Github Codespaces
• Option 2: Open the project in Gitpod
• Option 3: Run the project locally (see instructions below)

• Docker
• Python/pip
• LocalStack Pro API key (free trial key here)

LocalStack can be started in different ways. The easiest way (the one we recommend) is through the LocalStack CLI.

First, install the LocalStack command-line interface (CLI):

pip install localstack

Then we can simply start the LocalStack container locally:

export LOCALSTACK_API_KEY=... # insert your API key here
DEBUG=1 localstack start

Once LocalStack is running in the Docker container, we can issue CLI commands to create and interact with AWS resources. Let's say, for instance, that we want to create a S3 bucket. If you have the AWS Command Line Interface installed on your machine, you can simply type:

aws --endpoint=http://localhost.localstack.cloud:4566 s3 mb s3://demo-bucket

To make things simpler, you might want to install awslocal, i.e., our wrapper around the AWS CLI. This way, you don't need to set up the endpoint for every CLI command. The previous command would just be:

awslocal s3 mb s3://demo-bucket

You can create and browse resources in LocalStack also from the research browser. Simply, go to our Web App, log in, and click on Resources in the top navigation bar. You will gain access to our research browser, where each service has a console to manage its resources.

Every programming language tutorial starts with printing a Hello World. Let us have the equivalent in LocalStack.

As the next step, we'll deploy a serverless application using Lambda, S3, SNS, and other AWS services. This is an app to resize images uploaded to an S3 bucket, using Lambda functions and event-driven processing. A simple web fronted using HTML and JavaScript provides a way for users to upload images that are resized and listed.

We mostly interacted with LocalStack through the CLI so far. However, large systems are hardly built this way. Luckily, LocalStack supports a wide range of integrations that will cover your favorite Infrastructure-as-Code (IaC) tool. In the following sample, we will deploy a containerized application (using ECS, Cognito, etc) with either Terraform or CloudFormation.

In this sample, we'll take a closer look at AppSync, a managed services for deploying GraphQL APIs to access data sources like RDS databases or DynamoDB tables. The AppSync GraphQL sample is a simple application that maintaines entries in a database table, and makes them accessible via a GraphQL HTTP endpoint. Clients can also subscribe to a WebSocket endpoint to receive real-time updates about new DB entries. The stack is defined via CDK, and deployed fully locally against LocalStack.

Details following soon...