AWS CDK 사용법

1. cdk init

- 디렉토리 생성

- cdk 초기화(사용할 언어 옵션으로 지정)

> cdk init app --language=python
Applying project template app for python

# Welcome to your CDK Python project!

This is a blank project for Python development with CDK.

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`
(or `python` for Windows) 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.

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.

## Useful commands

 * `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!

Initializing a new git repository...
Please run 'python3 -m venv .venv'!
Executing Creating virtualenv...
✅ All done!

- 파이썬 venv 활성화

- cdk를 위한 별도 파이썬 환경이 세팅 됨

- 파일 리스트

2. cdk ls

- stack 리스트 확인 가능

3. cdk synth

- stack에 아래 구문 추가(S3 bucket 생성)

- scope : Tells the bucket that the stack is its parent: it is defined within the scope of the stack. You can define constructs inside of constructs, creating a hierarchy (tree).

- id : The logical ID of the Bucket within your AWS CDK app. This (plus a hash based on the bucket's location within the stack) uniquely identifies the bucket across deployments so the AWS CDK can update it if you change how it's defined in your app. Buckets can also have a name, which is separate from this ID (it's the bucketName property).

- props : Whether this bucket should have versioning turned on or not. Default: false

Bucket — AWS Cloud Development Kit 1.94.1 documentation

from aws_cdk import aws_s3 as s3

        bucket = s3.Bucket(self,
                           "eunhye_bucktet_0225",
                           versioned=True)

- 사용할 AWS 서비스 설치

- 스택을 CloudFormation template으로 변환 후 출력

4. cdk deploy

- 스택을 AWS(config 설정된 AWS 계정)로 배포

- AWS Console - CloudFormation에서 배포된 스택 확인 가능

- AWS Console - S3에서 CdkStack으로 생성된 bucket 확인 가능

* bucket name은 영어 소문자와 하이픈(-)만 허용하여  cdk stack에 작성한 "eunhye_bucktet_0225"으로 bucket name이 지정되지 않음

5. cdk diff

- stack에 아래 구문 변경

- removal_policy : Policy to apply when the bucket is removed from this stack. Default: - The bucket will be orphaned.

- auto_delete_objects : Whether all objects should be automatically deleted when the bucket is removed from the stack or when the stack is deleted. Requires the removalPolicy to be set to RemovalPolicy.DESTROY. Default: false

        bucket = s3.Bucket(self,
                           "eunhye_bucktet_0225",
                           versioned=True,
                           removal_policy = core.RemovalPolicy.DESTROY,
                           auto_delete_objects = True)

- 배포된 스택과 현재 스택의 변경 사항 확인 가능

6. cdk bootstrap

- cdk toolkit stack을 생성하여 cdk deploy 전 필요

- staging area 역할

- 스택을 AWS로 배포

- AWS Console - CloudFormation에서 배포된 스택 확인 가능

- AWS Console - S3에서 CDKToolkit으로 생성된 bucket 확인 가능

- CloudFormation에서 Designer로 보기

7. cdk destroy

- cdk stack(배포된 CloudFromation과 AWS Resource) 삭제

- AWS Console - S3에서 삭제된 bucket 확인 가능