This project is developed to address the coding assessment challenge provided by Pruvo.
The assignment discusses a scenario where a WordPress frontend site needs to add a new functionality to allow users to get a conversion rate between 2 selected currencies. This project implements a backend service that will serve this need.
This solution uses an AWS SQS queue to defer user requests for asynchronous processing.
A Nestjs standalone application is used to listen on messages from the queue and process them. This is the code in the ConversionRateService folder.
For the purpose of local development, an Expressjs application is available in the RestAPI folder. This server exposes the /sqs/conversionRequest and /sqs/exchangeRateRequest endpoints to post requests that will be placed in the SQS queue.
In a production environment, I would use AWS API Gateway which has a direct integration with AWS SQS to expose these endpoints and save on the costs of a running REST Api server. The Nestjs application could be hosted on EC2 instances with the required memory & CPU limits, and controlled by an Auto Scaling Group that scales up to a maximum of 3 instances. The scaling metric could be either the average memory or CPU utilization of the EC2 instances.
- Nodejs 16
- Docker
- docker-compose
- An account with https://openexchangerates.org/
To be able to use the exchange rate api, and .env file must be placed in the ConversionRateService folder with the key APP_ID set to the account's App ID
To startup all the services run the following command
docker-compose up