Imagizer AWS

This example project contains the AWS CDK Python code for provisioning an Imagizer Cluster on AWS.

Note: AWS CDK supports multiple languages. This project uses Python 3.

Getting Started

Dependencies

Begin by installing the required dependencies. This project requires Python3, NodeJS, NPM, and the AWS CLI. The AWS CLI must be configured with sufficient permissions to create AWS resources.

Install

Run the following to compile and install the project.

# Install the AWS CDK
npm install --ignore-scripts

# Create a python virtual environment
python3 -m venv venv

# Install the Python dependencies
venv/bin/pip3 install -r requirements.txt

# Install the CDK Cli
npm install aws-cdk

# Active the Python environment
source venv/bin/activate

Configure

• Modify the imagizer_aws/variables.py file making note to add the Imagizer AMI ID.
• Modify the imagizer_aws/imagizer-config.json to your needs while leaving the cluster configuration untouched to allow for Imagizer Clustering.

Review Documentation

Review the documentation from AWS

• Getting Started
• Working with the AWS CDK in Python
• API Reference

Usage

Useful commands

• npx cdk ls list all stacks in the app
• npx cdk synth emits the synthesized CloudFormation template
• npx cdk deploy deploy this stack to your default AWS account/region
• npx cdk diff compare deployed stack with current state
• npx cdk docs open CDK documentation

Deploy

Deploying will create a change set and apply any changes to the already provisioned AWS resources.

npx cdk deploy "*"

Stacks

All stacks are located in the imagizer_aws/stacks folder.

Base Stack

imagizer_aws/stacks/base_stack.py

The Base stack includes the basic components for a regional base, such as a VPC, Subnets, DNS records, SSL certs, etc.

Imagizer Cluster Stack

imagizer_aws/stacks/imagizer_cluster_stack.py

The Imagizer Cluster stack includes the resources to run a full Imagizer cluster such as an Autoscaling group of Imagizer EC2s and a load balancer.

AutoSpotting Stack

imagizer_aws/stacks/autospotting_stack.py

Significantly lowers our Amazon AWS costs by automating the use of spot instances. https://github.com/AutoSpotting/AutoSpotting

All autoscaling groups with the tag 'spot-enabled' will be subject to auto-spotting.