Author: Daniel Abib

Customers use AWS Lambda to build Serverless applications for a wide variety of use cases, from simple API backends to complex data processing pipelines. Lambda’s flexibility makes it an excellent choice for many workloads, and with support for up to 10,240 MB of memory, you can now tackle compute-intensive tasks that were previously challenging in a Serverless environment. When you configure a Lambda function’s memory size, you allocate RAM and Lambda automatically provides proportional CPU power. When you configure 10,240 MB, your Lambda function has access to up to 6 vCPUs.

This post demonstrates how you can modernize legacy SOAP applications using Amazon API Gateway and AWS Lambda to create bidirectional proxy architectures that enable integration between SOAP and REST systems without disrupting existing business operations. Many organizations today face the challenge of maintaining critical business systems that were built decades ago. These legacy applications power […]