Sometimes you want to simulate an API Gateway payload with a local Lambda against a real instance of remote DynamoDB hosted in AWS. This allows you to debug and build up unit tests with real data. In addition, we will see how these can later be used in the integration test.
Running and debugging your AWS Lambda code locally
by Takashi Freeman Richard
Building Serverless Microservices in Python
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Serverless Microservices Architectures and Patterns
- Understanding different architecture types and patterns
- Virtual machines, containers, and serverless computing
- Overview of microservice integration patterns
- Communication styles and decomposition microservice patterns
- Serverless computing in AWS
- Setting up your serverless environment
- Summary
- Creating Your First Serverless Data API
- Overview of security in AWS
- Securing your serverless microservices
- Building a serverless microservice data API
- Setting up Lambda security in the AWS Management Console
- Creating and writing to a NoSQL database called DynamoDB using AWS
- Creating and writing to a NoSQL database called DynamoDB using Python
- Creating a Lambda to query DynamoDB
- Setting up the API Gateway and integrating it with a Lambda proxy
- Connecting API Gateway, Lambda, and DynamoDB
- Cleaning-up
- Summary
- Deploying Your Serverless Stack
- Testing Your Serverless Microservice
- Securing Your Microservice
- Other Books You May Enjoy
Running and debugging your AWS Lambda code locally
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