Getting started - AWS

First steps

The following sections describe the setup process for the AWS IoT Framework repository. For more information head over to:

• AWS
• Alexa

Introduction

The setup for the AWS IoT Framework is based around a Docker image which builds a capable development environment. In addition this Docker image can directly be hooked to a VS Code project, which enables an automatic work-space creation. This functionality is made possible through the Devcontainer capabilities of VS Code.

Setup process

• Make sure that Docker Desktop is installed on your system
• This repository is built around VS Code therefore make sure that it's installed on your system.
• Clone this repository and open it with VS Code
  • Make sure that Docker Desktop is running
  • VS Code should automatically detect that this repository contains a Dockerfile and launches the Docker container via the running Docker Desktop instance.

What's inside the container?

The image contains a fully capable Linux Debian distribution which has all the essential build tools for C++ and Python 3.9 pre-installed. In addition the stock BASH is replaced by a ZSH. The ZSH is then configured with the Oh My Zsh framework which enables a highly customizable shell environment.

Next the Dockerfile installs all necessary requirements for the development of AWS Lambdas and other Python projects. The following modules are going to be installed:

• boto3
• awscli
• aws-sam-cli
• cfn-lint
• pandas
• matplotlib
• mkdocs-material
• mkdocs-plugin-mermaid
• mkdocs_pymdownx_material_extras
• mkdocs-git-revision-date-plugin
• mkdocstrings

Last but not least the devconatainer.json settings and extensions are executed in order to install all necessary VS Code extensions within the Devcontainer.