A deploy tool for AWS projects
A CLI tool for deploying projects to AWS
The point of Airmail is to make deploying projects into AWS a little easier. It was inspired as a binding layer between Terraformed infrastructure and deploying applications to AWS ECS. At NYMag we wanted to manage infrastructure with Terraform and then allow applications to be more declarative about how they run without caring about the infrastructure. A developer should be able to change easily declare where and how their application will run and then be able to easily configure resources in Terraform to support that. Airmail is designed to deploy code with the assumption that the underlying infrastructure is there to support the project.
Airmail needs to be run in a project with a
.deploy directory. It will look inside this directory for configuration files that will tell the tool how to deploy to ECS.
<project dir> ├── app # The directory of your application ├── .deploy # The directory holding the config │ ├── config.yml # Holds the primary config declarations │ └── <env>.env # Environment variable configuration for the container └── ...
config.yml file contains all the information that Airmail needs to build the service and task definitions to deploy to ECS. For an example file click here.
A list of commands and corresponding arguments/environment variables can be found here.
Airmail assumes your local env is configured per Boto3 configuration. The tool uses Boto3 to execute requests to AWS and does not do anything to setup your local environment.
You can use a few environment variables to control how Airmail is run.
AWS_PROFILE: will run the Boto3 commands under the local profile you have configured
AIRMAIL_ENV: automatically chooses which environment to run commands for. Good for CI/CD so the prompt is not triggered.
AIRMAIL_DRY_RUN: will run all of the command except the actual call to AWS
config.yml): specifies the file to read from in the
.deploydirectory for application configuration. The file must be a valid YAML file.
AIRMAIL_VERBOSE: will log in verbose mode. Good for debugging.
Clone and run
python3 setup.py install or download Watchcode and run
watchcode in the root of the project./
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