Build and deploy a Python bokeh application on a Linux server
summary
Builds a real Python bokeh application and deploys it on a Linux IaaS server using Flask, systemd and nginx so it actually runs and restarts on reboot. Shows the exact commands and code: bokeh serve --allow-websocket-origin and embedding via bokeh.embed.server_document, uses a DigitalOcean droplet and ports 5006/5100, deploys an app that inspects thousands of time series from ASML lasers (6,000 pulses per second, machines costing ~$1.5M), contrasts a quick insecure demo with a robust nginx reverse proxy + systemd setup that works.
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chapters (9)
- 0:00Introduction
- 2:30Why Python Bokeh
- 5:22Data science for lasers
- 10:21Bokeh app demo
- 13:40More info with Bokeh
- 14:02Build Bokeh app
- 17:31Fast cloud deployment
- 19:38Flask and Nginx deployment
- 24:38Q&A
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