The project aims to resize images which are selected from Google API using a frontend application and interacts with a full decouple backend making use of AWS Services as demonstrated below:
The diagram below demonstrates how the application runs on AWS.
The project is divided into two folders, the frontend, and the backend.
- The frontend folder contains the code for the frontend of the application
- The backend folder contains a package for each lambda function utilized.
- Each project has its own readme with further explanation.
- Each project should be deployed separately on AWS and have the right permissions applied to allow interaction.
- The API Gateway calls the determined lambda functions based on the HTTP method.
- SNS is utilized to queue the resize requests and the Resizer function subscribes to the Queue to process the items queued.
- The S3 is responsible for storing the images resized.
- This project had a DevOps Pipeline running on AWS CodePipeline as demonstrated on the image below.
- The frontend contains the buildspec.yml file used by AWS CodeBuild, which builds, execute the tests and run SonarCloud code analysis for every build.
- The frontend was deployed on AWS Elastic Beanstalk.
