I believe there are 2 main methods: 1. stop serving a couple of seconds while deploying the newly trained model, this is supported from pio as is. 2. make a more flexible solution that can route traffic differently or cache results. We have a reverse proxy (openresty / nginx + lua) in front, so that we can do both if business requires it.
When working with UR: Another solution would be to utilise ES aliases I'm pretty sure other people have thought of other solutions, but it mostly depends on the exact use case. I hope that helps. Paul > On 6 Sep 2017, at 03:34, Saarthak Chandra <chandra.saart...@gmail.com> wrote: > > Hi, > > Is there a way we can train a model without having to stop serving. > I mean, if I have an app deployed, can I add/post new data to the event > server and train the same app without stopping it? > > > Thanks! > -- > Saarthak Chandra, > Masters in Computer Science, > Cornell University.
