This is a CDK stack to deploy the Martin server in the AWS environment, It is a useful stack to deploy any project in the AWS what you want to deploy.

• Get Started CDK
• About the project
• Environment Variables
• First Time Setup
• Deploy the stack

This project is set up like a standard Python project. The initialization process also creates a virtualenv within this project, stored under the .venv directory. To create the virtualenv, you will need to have Python 3 installed. But the version of Python 3 should be 3.6 or later and requirements.txt file should be present in the root directory of the project and following dependencies below here.

attrs==23.2.0
aws-cdk-lib==2.95.0
aws-cdk.asset-awscli-v1==2.2.202
aws-cdk.asset-kubectl-v20==2.1.2
aws-cdk.asset-node-proxy-agent-v6==2.0.1
aws-cdk.aws-apigatewayv2-alpha==2.95.0a0
aws-cdk.aws-apigatewayv2-integrations-alpha==2.95.0a0
cattrs==23.2.3
constructs==10.3.0
exceptiongroup==1.2.0
importlib-resources==6.1.1
jsii==1.94.0
publication==0.0.3
python-dateutil==2.8.2
python-dotenv==1.0.0
six==1.16.0
typeguard==2.13.3
typing-extensions==4.9.0
zipp==3.17.0

To manually create a virtualenv on MacOS and Linux:

$ python3 -m venv .venv

After the init process completes and the virtualenv is created, you can use the following step to activate your virtualenv.

$ source .venv/bin/activate

If you are a Windows platform, you would activate the virtualenv like this:

% .venv\Scripts\activate.bat

Once the virtualenv is activated, you can install the required dependencies.

$ pip install -r requirements.txt

At this point you can now synthesize the CloudFormation template for this code.

$ cdk synth

To add additional dependencies, for example other CDK libraries, just add them to your setup.py file and rerun the pip install -r requirements.txt command.

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

Enjoy!

• This project is a CDK stack to deploy the Martin server in the AWS environment, It is a useful stack to deploy any project in the AWS what you want to deploy,
• The Martin is a serverless application for displaying the vector tiles on the map, It is a useful application to display the vector tiles on the map.

Environment variables are used to deploy stack cdk in the AWS environment. The following environment variables are required: You can modify the environment variables in the .cdk-stack-dev.env file.

# Path: .cdk-stack-prod.env (for local development) for the martin ecs server
AWS_ACCOUNT_ID=<AWS_ACCOUNT_ID>
AWS_DEFAULT_REGION=<AWS_DEFAULT_REGION>

# For the martin-eoapi-service
VPC_ID=vpc-<VPC_ID>
EXECUTION_ROLE_ARN=arn:aws:iam::<AWS_ACCOUNT_ID>:role/martin-eoapi-service-role
CLUSTER_NAME=cluster-martin-eoapi-service
ECS_CPU=4096
ECS_MEMORY=8192
API_NAME=martin-service
LOAD_BALANCER_NAME=martin-alb-dev
SERVICE_NAME=martin-eoapi-dev-service
IMAGE_URI="<AWS_ACCOUNT_ID>.dkr.ecr.<AWS_DEFAULT_REGION>.amazonaws.com/martin-eoapi-dev:latest"
STACK_NAME=martin-eoapi-service
ASSIGN_PUBLIC_IP=false
PRIVATE_WITH_NAT=true
SUBNET_ID="subnet-<SUBNET_ID>,subnet-<SUBNET_ID>,subnet-<SUBNET_ID>""

• First, you need to build docker image for the martin-eoapi-service and push to the ECR repository.
• Then you need to deploy the stack in the AWS environment.

$ docker build -t martin-dev .
$ docker tag martin-dev:latest {AWS_ACCOUNT_ID}.dkr.ecr.{AWS_DEFAULT_REGION}.amazonaws.com/martin-eoapi-dev:latest
$ docker push {AWS_ACCOUNT_ID}.dkr.ecr.{AWS_DEFAULT_REGION}.amazonaws.com/martin-eoapi-dev:latest

• To deploy the stack in the AWS environment, you need to run the following command.

$ cdk deploy