This project creates CDK app with an instance of a stack (my_first_cdk_app_stack
)
which creates a simple EKS cluster
, a SSM parameter
with the value development
, staging
and production
, a custom resource
backed by a lambda function
that returns a value in SSM based on the environment. It returns 1 if the environment is development
,
2 if the environment is production
or staging
and then, as a final step, it creates a nginx helm chart
that uses this returned value as parameter to define the replicas. Please take into account that this project uses L2 constructs and
other resources are created under the hood.
The cdk.json
file tells the CDK Toolkit how to execute your app.
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
it assumes that there is a python3
executable in your path with access to the venv
package.
If for any reason the automatic creation of the virtualenv fails, you can create the virtualenv
manually once the init process completes.
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.
NOTE: Please take into account that you need to execute the pip command from the virtual enviroment, instead of the one configured in your machine globally.
$ pip install -r requirements.txt
You need to configure your AWS credentials
-> On Mac/Linux: ~/.aws/credentials
-> On Windows: C:\Users\username.aws\credentials
Use this link as reference -> https://docs.aws.amazon.com/powershell/latest/userguide/specifying-your-aws-credentials.html
At this point you can now synthesize the CloudFormation template for this code. This project should be executed using a parameter
from development
, staging
and production
To verify composition of template:
$ cdk synth --parameters environment=development
To create resources:
$ cdk deploy --parameters environment=production
There is a test configured that you can execute as well:
$ pytest
To add additional dependencies, for example other CDK libraries, just add to
your requirements.txt file and rerun the pip install -r requirements.txt
command.
cdk ls
list all stacks in the appcdk synth
emits the synthesized CloudFormation templatecdk deploy
deploy this stack to your default AWS account/regioncdk diff
compare deployed stack with current statecdk docs
open CDK documentation
Enjoy!