This stack creates a new VPC and also It needs one EIP. Usually there is a Regionwise-accountwise limit. If the stack failes due to that, Please delete the stack manually, make sure the resource can be allocated and then try again. You can contact AWS Support
You should explore the contents of this project. It demonstrates a CDK app with an instance of a stack (shared_vpc_stack
)
which contains an Amazon SQS queue that is subscribed to an Amazon SNS topic.
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.
$ pip install -r requirements.txt
At this point you can now synthesize the CloudFormation template for this code.
$ cdk synth
You can now begin exploring the source code, contained in the hello directory. There is also a very trivial test included that can be run like this:
$ 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!
CDK Commands Can be found here CDK AWS Documentation
Also I initialized this project as -> github
If you have multiple AWS Environment, just setup the one before doing cdk deploy
export AWS_PROFILE=YOUR_AWS_PROFILE_NAME
This Stack is stage agnostic, so we will simply deploy it as
cdk deploy --context ns=SAMPLE_NAME
Here SAMPLE_NAME
can be anything like "infra"
Also if you have multiple AWS config, Please make use the ~/.aws/config
and ~/.aws/credentialas
files are proper and you set the appropriate profile as
export AWS_PROFILE=SAMPLE_PROFILE
For example if you AWS Profiles are like this
[sourav-amplify]
aws_access_key_id=AKISAMPLE
aws_secret_access_key=AKISAMPLE
[ssourav-mac]
aws_access_key_id=AKISAMPLE
aws_secret_access_key=AKISAMPLE
❯ cat ~/.aws/config
[profile sourav-amplify]
region=eu-west-1
[profile sourav-mac]
region = eu-west-1
And you want to use the sourav-mac
profile then use export AWS_PROFILE=sourav-mac