• DockerHub account
• MacOS or Linux
• python 3.6+
• node.js

• git clone https://github.com/awslabs/aws-eks-data-maker
• cd aws-eks-data-maker/cli

• python -m venv .venv

• source .venv/bin/activate

• pip install -r requirements-dev.txt

• ./validate.sh

The demo flag will ensure that a mocked environment will also be deployed.

The dev flag will ensure that all artifacts will be built from source (W/o DockerHub and PyPi).

• orbit init --demo --dev

• orbit deploy foundation -f my-foundation.yaml
• orbit deploy env -f my-env.yaml

• orbit destroy foundation --name my-foundation
• orbit destroy env --env my-env

• Install kubectl
• Go to the IAM console
• Find the Admin Role (arn:aws:iam::{ACCOUNT_ID}:role/orbit-{ENV_NAME}-{REGION}-admin).
• Add your user or role under the Trust Relationship tab.

{
    "Effect": "Allow",
    "Principal": {
        "AWS": "arn:aws:iam::{ACCOUNT_ID}:user/{USERNAME}"
    },
    "Action": "sts:AssumeRole"
},

• Open the temrinal and user the AWS CLI to configure your kubeconfig
• aws eks update-kubeconfig --name orbit-{ENV_NAME} --role-arn arn:aws:iam::{ACCOUNT_ID}:role/orbit-{ENV_NAME}-{REGION}-admin
• Validate you access
• kubectl get pod -A

• ms-python.python
• kddejong.vscode-cfn-lint

{
    "cfnLint.ignoreRules": [
        "E1029",
        "E3031"
    ],
    "python.formatting.provider": "black",
    "python.linting.enabled": true,
    "python.linting.flake8Enabled": true,
    "python.linting.mypyEnabled": true,
    "python.linting.pylintEnabled": false
}