Firstly, super easy to run on our machine with a single command for docker-compose up. Although I had some issues in running it :
dexlab-mariadbnew-1 | 2022-02-10 04:26:47+00:00 [Note] [Entrypoint]: Initializing database files
Error response from daemon: Ports are not available: listen tcp 0.0.0.0:5000: bind: address already in use
But this I think is probably due to some of my system error.
The napkin diagram is simple but could be more simple for a user to understand.
Coming to the architecture, I think it is one of the cleanest architecture I have come across, we have also used more or less the same services.
I read in the wiki : Ingestor
This is a Flask app that interacts with NEXRAD's AWS S3 bucket. It provides data about radar availability and generates reflectivity plots for the given day.
I would really want to test this part out, how much time does it takes for you guys to fetch and plot the data for the entire day ? We struggled with this the most , owing to huge latency in fetching data for the entire day.
Firstly, super easy to run on our machine with a single command for docker-compose up. Although I had some issues in running it : dexlab-mariadbnew-1 | 2022-02-10 04:26:47+00:00 [Note] [Entrypoint]: Initializing database files Error response from daemon: Ports are not available: listen tcp 0.0.0.0:5000: bind: address already in use
But this I think is probably due to some of my system error.
The napkin diagram is simple but could be more simple for a user to understand. Coming to the architecture, I think it is one of the cleanest architecture I have come across, we have also used more or less the same services.
I read in the wiki : Ingestor This is a Flask app that interacts with NEXRAD's AWS S3 bucket. It provides data about radar availability and generates reflectivity plots for the given day.
I would really want to test this part out, how much time does it takes for you guys to fetch and plot the data for the entire day ? We struggled with this the most , owing to huge latency in fetching data for the entire day.
Our team review : DSDummies