Book Image

AWS CDK in Practice

By : Mark Avdi, Leo Lam
Book Image

AWS CDK in Practice

By: Mark Avdi, Leo Lam

Overview of this book

As cloud applications are becoming more complex, multiple tools and services have emerged to cater to the challenges of running reliable solutions. Although infrastructure as code, containers, and orchestration tools, such as Kubernetes, have proved to be efficient in solving these challenges, AWS CDK represents a paradigm shift in building easily developed, extended, and maintained applications. With AWS CDK in Practice, you’ll start by setting up basic day-to-day infrastructure while understanding the new prospects that CDK offers. You’ll learn how to set up pipelines for building CDK applications on the cloud that are long-lasting, agile, and maintainable. You’ll also gain practical knowledge of container-based and serverless application development. Furthermore, you’ll discover how to leverage AWS CDK to build cloud solutions using code instead of configuration files. Finally, you’ll explore current community best practices for solving production issues when dealing with CDK applications. By the end of this book, you’ll have practical knowledge of CDK, and you’ll be able to leverage the power of AWS with code that is simple to write and maintain using AWS CDK.
Table of Contents (17 chapters)
Part 1: An Introduction to AWS CDK
Part 2: Practical Cloud Development with AWS CDK
Part 3: Serverless Development with AWS CDK
Part 4: Advanced Architectural Concepts

Completing and deploying the serverless backend

So far, we have successfully created a basic health check endpoint, which has helped you understand how to create Lambda-backed API endpoints. However, the current functionality of our health check endpoint is rather limited, as its name implies. In this section, we will delve deeper into querying and writing data to DynamoDB from the Lambda function handlers, allowing for more complex and useful API endpoints to be built.

Creating a GET and POST route to perform DynamoDB operations

Now that we have our API Gateway properly configured, to perform the same operations and requests we were doing with ECS and RDS, we need to create two more endpoints: one to fetch all data from the DynamoDB table, and another to insert data into it.

In this section, we’ll use our previous knowledge of creating an API Gateway method and integrating it with a Lambda function to create two more Lambdas connected to the DynamoDB table: