CDK-AI-powered cloud infrastructure tool.

Example

Defining an S3 bucket, Lambda function, and API Gateway using Python code in CDK.

Scenario

In a serverless application, instead of manually configuring an S3 bucket for file uploads, a developer can define the bucket, set up permissions, and connect it to a Lambda function using the CDK. For example, `s3.Bucket(self, 'MyBucket')` creates an S3 bucket, and `lambda.Function(self, 'MyFunction')` defines a Lambda function that processes uploads.

Example

Creating a custom reusable construct for VPC, RDS, and Autoscaling Group components.

Scenario

A large organization wants to standardize their network setup across different teams. CDK allows them to build a reusable `VpcConstruct` that other teams can import, ensuring consistent and secure VPC configuration. This construct can include a predefined VPC, subnets, and security groups that follow the organization's best practices, making it easy for other teams to reuse this setup in their projects.

Example

Using `cdk synth` to generate and visualize CloudFormation templates.

Scenario

A DevOps team needs to ensure their application infrastructure is defined as CloudFormation templates for versioning and auditing. By running `cdk synth`, they can convert their CDK code into CloudFormation templates, which can be reviewed or stored in version control systems like GitHub. This ensures that the infrastructure code is traceable and up-to-date.

Example

Using `cdk deploy` to provision a full stack including EC2 instances, RDS, and Elastic Load Balancer.

Scenario

An application team working on an e-commerce platform needs to deploy an architecture with EC2 instances, an RDS database, and an Elastic Load Balancer. Instead of manually provisioning each service, they use `cdk deploy` to deploy a stack, ensuring that all resources are created, configured, and connected automatically.

Example

Utilizing CDK context and environment settings for staging and production environments.

Scenario

A startup is developing both staging and production environments for their app. By using CDK, they can configure different AWS environments and resource settings (such as instance sizes, number of replicas, etc.) for each environment. This is done by setting context variables and adjusting stack parameters for different accounts and regions during deployment.

Example

Packaging and deploying Lambda functions directly from local code using CDK assets.

Scenario

A developer building a serverless backend needs to package their Python Lambda function and deploy it to AWS. CDK handles the packaging of the function code as an asset, uploads it to an S3 bucket, and links it to the appropriate Lambda resource. This asset management process abstracts the complexity of bundling, uploading, and managing code artifacts.