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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
The first was for a front-end-only application and was pretty straightforward to get set up. But the second application was a full-stack example and proved to be a bit more challenging to get configured. Since it wasn't immediately obvious how to run multiple servers in a single Replit repl, I thought I'd document my solution here. While my development stack may be a bit different than most, the approach here would still apply to many situations.
The first was for a front-end-only application and was pretty straightforward to get set up. But the second application was a full-stack example and proved to be a bit more challenging to get configured. Since it wasn't immediately obvious how to run multiple servers in a single Replit repl, I thought I'd document my solution here. While my development stack may be a bit different than most, the approach here would still apply to many situations.
A typical full-stack web application will have a public-facing front-end web server and a back-end application server that is used by and/or proxied by the front-end server. In my case, I was using Flask as a back-end server that had a very simple REST API, and then I had the Parcel bundler development proxy-server for the front-end.