Flexibility with Serverless Azure Functions
summary
A working conference icebreaker app takes photos via a QR link, stores images in Blob Storage, triggers an HTTP Azure Function that calls Cognitive Services Face API to return attributes (smile, age, introvert/extrovert), then uses an output binding to SignalR Service to broadcast results; deployment uses the Azure Functions core tools with JSON trigger/binding files and nightly cleanup of blobs for privacy. Demo attracts about five participants and shows smile scores up to 99%.
AI-written summary · about
chapters (7)
- 0:00Introduction
- 0:40Why Serverless
- 2:50Flexibility
- 5:09Integration Model
- 6:15Demo
- 11:24Create Cognitive Service
- 13:05Code
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