I'm currently exploring potential strategies for developing a feature that could be marketed and seamlessly integrated into second-hand websites. This feature involves backend calculations based on input data provided by the seller, with the results displayed in a designated container. After considering various options, I'm leaning towards utilizing AWS Lambda for the backend operations.
Below is my proposed approach:
Input Submission: When a user submits details of a new product, this information is transmitted securely via an HTTPS request to AWS Lambda through API Gateway.
Calculation Process: AWS Lambda receives the incoming request and executes the required calculations. These calculations involve basic arithmetic operations such as addition and multiplication, utilizing both the user-provided input and predefined values stored on AWS, possibly in JSON format (also saved in AWS?).
Storage of Calculated Results: The results of the calculations are then stored in the product database of the website/store, alongside the other relevant product information.
Data Retrieval: When a user accesses the product's page, the client triggers an HTTP POST request to the database to retrieve the specific product information. Alongside the standard product details, the calculated values are also fetched.
Displaying Calculated Values: Finally, the retrieved calculated values are displayed on the product's page, providing users with comprehensive insights into the product's attributes.
Given my limited expertise in software development, I welcome any constructive criticism or feedback on this proposed approach.
my goal is to gather enough information, so I can communicate the architecture trough relevant charts and diagrams.
