Building storage-first serverless applications with HTTP APIs service integrations
Over the last year, I have been talking about “storage first” serverless patterns. With these patterns, data is stored persistently before any business logic is applied. The advantage of this pattern is increased application resiliency.
By persisting the data before processing, the original data is still available, if or when errors occur. Using Amazon API Gateway as a proxy to an AWS Lambda function is a common pattern in serverless applications. The Lambda function handles the business logic and communicates with other AWS or third-party services to route, modify, or store the processed data.
One option is to place the data in an Amazon Simple Queue Service (SQS) queue for processing downstream. In this pattern, the developer is responsible for handling errors and retry logic within the Lambda function code.