Building and Deploying AWS Lambda Layers with AWS CDK and Chalice

Building and Deploying AWS Lambda Layers with AWS CDK and Chalice

Introduction:

In this article, we will explore the process of building and deploying AWS Lambda layers using AWS CDK and Chalice. Lambda layers are a powerful feature of AWS Lambda that allow you to manage and share common code across multiple functions. We will also discuss how CDK and Chalice can be used together to create and deploy serverless applications on AWS.

AWS CDK and Lambda Layers:

AWS Cloud Development Kit (CDK) is an open-source software development framework that enables you to model and provision your cloud application resources through AWS CloudFormation using familiar programming languages such as Python. CDK simplifies the process of deploying infrastructure and helps you maintain the application and infrastructure logic in sync.

Lambda layers are a way to manage common code across multiple Lambda functions. They can be used to share libraries, custom runtimes, and even custom layers between functions. With CDK, you can create Lambda layers by defining a CDK construct that builds the layer using Docker. The Docker container will download the required libraries specified in a requirements.txt file, zip them, and upload the layer to AWS. Once the layer is created, you can easily add it to any Lambda function using CDK.

Chalice and AWS SAM:

AWS Chalice is a Python Serverless Microframework for AWS that allows you to quickly create and deploy applications using Amazon API Gateway and AWS Lambda. Chalice analyzes your application code to generate API Gateway resource definitions, Swagger documentation, and AWS SAM templates. This saves development time by automatically defining the required resources and keeping the application and infrastructure logic in sync. Chalice also supports local testing and debugging using a built-in HTTP server.

AWS Serverless Application Model (AWS SAM) is an open-source framework that can be used to build serverless applications on AWS. It provides a simplified way to define serverless resources such as API Gateway, Lambda functions, and DynamoDB tables. Chalice leverages AWS SAM to generate the necessary resources based on your application code.

Using CDK with Chalice:

CDK can be used to implement the rest of the service infrastructure, such as Amazon Virtual Private Cloud (VPC) networking, AWS Certificate Manager (ACM) certificates, Amazon Simple Queue Service (SQS) queues, and AWS Secrets Manager secrets. CDK acts as the main framework to deploy the overall service infrastructure, including the infrastructure generated by Chalice.

To deploy a Chalice application using CDK, you can use the "chalice package" command, which produces a SAM template and a ZIP file for deployment as a Lambda function. The SAM template can then be imported into a CDK stack, and the ZIP file can be uploaded as a CDK asset. This allows you to use CDK to manage the deployment of your Chalice application along with the rest of your infrastructure.

Conclusion:

Building and deploying AWS Lambda layers with AWS CDK and Chalice provides a powerful way to manage and share common code across your serverless applications. By leveraging CDK and Chalice together, you can simplify the process of deploying infrastructure and keep your application and infrastructure logic in sync. Here are three actionable tips to get started:

1. Familiarize yourself with AWS CDK and Chalice documentation to understand their capabilities and how they can be used together.
2. Experiment with building Lambda layers using CDK and Docker to gain hands-on experience.
3. Explore the possibilities of using CDK to manage other aspects of your serverless infrastructure, such as VPC networking and secrets management.

By following these tips, you can enhance your serverless development workflow and take advantage of the powerful features provided by AWS CDK and Chalice. Happy coding!