Inspiration
The inspiration behind this project actually comes from my own experience. Every time I start a project on AWS, I feel confused and overwhelmed by the number of services available.
What it does
AWS Service Suggester is a lightweight serverless API that helps developers quickly figure out which AWS services fit their project needs
How we built it
The project was built entirely using AWS Lambda as the core backend logic, triggered by API Gateway to expose it as a public API. The logic is written in Python, packaged into a zip file, and deployed directly to Lambda.
Challenges we ran into
Since the project logic relies entirely on user input, designing the right set of questions and follow-up flows to make the service suggestions meaningful also required careful thought.
Accomplishments that we're proud of
Overcame the initial overwhelm of AWS service choices by simplifying the decision-making process into an easy-to-use API
What we learned
How to set up, package, and deploy a working AWS Lambda function from scratch. How to expose Lambda using API Gateway to create a public API.
What's next for AWS Service Suggester
Expand the API to cover even more AWS services and use cases. Focus on delivering fewer but highly relevant AWS service suggestions based on clear project requirements
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