## Challenge Deliverables
- [ ] Architecture diagram
    - [ ] saved as a PNG
- [ ] Explain decisions and trade-offs
    - [ ] Document in README.md
- [ ] Terraform repo scaffolding out the service
## Air Traffic Metrics
- [ ] Ingest raw data into S3
    - [X] S3 Bucket
        - [ ] Bucket best practices
            - [X] Buckets aren't public
            - [X] Only `load` lambda can add objects
            - [X] Only Athena can read objects
            - [ ] ????
- [ ] Database of my choice
    - [X] Athena?
        - Less up-front configuration involved. I hope.
        - AWS wants to lock you into their ecosystem so it'll be cheaper.
        - In the future, we can switch from CSV to JSON or Parquet or mix and match without any overhead.
    - [ ] Aurora (Postgresql)
    - [ ] Aurora (Mysql)
- [ ] API to interact with the data
    - [ ] API Gateway
        - [ ] Policy that grants it lambda invocation rights
    - [ ] `/load` endpoint
        - [ ] Python lambda to upload data to bucket
            - [ ] Example data: https://zenodo.org/records/5377831
    - [ ] `/metrics` endpoint
        - [ ] Python lambda that returns the following:
            - [ ] row_count: number of rows in table for full data set
            - [ ] last_transponder_seen_at: maximum value for `lastseen`
            - [ ] most_popular_destination: most seen value for destination
            - [ ] count_of_unique_transponders: unique count of the icao24 field
        - [ ] Execution role that grants it access to athena database
- [ ] Frontend to display the data
    - [ ] Python lambda that renders an HTML page that displays above metrics