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# Setting up a PostgreSQL RDS with CDK in Python
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### Create a virtual environment and install dependencies:
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```
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virtualenv .env
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source .env/bin/activate
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pip3 install -r requirements.txt
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```
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### Define You RDS DB
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Add any constant variable in `cdk.json` and then define how you want your RDS instance in `postgre_sql_example/postgre_sql_example_stack.py`:
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```
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class PostgreSqlExampleStack(core.Stack):
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def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
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super().__init__(scope, id, **kwargs)
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# Database Instance
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instance = rds.DatabaseInstance(self,
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'examplepostgresdbinstance',
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master_username=master_username,
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engine=rds.DatabaseInstanceEngine.POSTGRES, instance_class=ec2.InstanceType.of(ec2.InstanceClass.BURSTABLE2, ec2.InstanceSize.MICRO),
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vpc=self.vpc,
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auto_minor_version_upgrade=auto_minor_version_upgrade,
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availability_zone=availability_zone,
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database_name=database_name,
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enable_performance_insights=enable_performance_insights,
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storage_encrypted=storage_encrypted,
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multi_az=multi_az,
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backup_retention=backup_retention,
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monitoring_interval=monitoring_interval,
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)
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```
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### Create synthesized CloudFormation templates
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```
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cdk synth
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```
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You can check what changes are introduced into your current AWS resources with:
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```
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cdk diff --profile <AWS PROFILE>
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```
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### Deploy to AWS
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If everything looks OK, deploy with:
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```
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cdk deploy --profile <AWS PROFILE>
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```
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To check all the stacks in the app:
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```
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cdk ls
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```
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### Clean up
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To destroy/remove all the newly created resources, run:
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```
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cdk destroy --profile <AWS PROFILE>
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```
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