2017 DevFestMN Bret McGowen
summary
Demos show a working serverless pipeline: HTTP and event-driven cloud functions that resize images, call the Vision and Natural Language APIs, stream sentiment results into bigquery and render live in Firebase; pub/sub and Twilio handle messaging. Logs, error reporting and Stackdriver debug watchpoints attach to running code. Deploys from local code or inline UI, auto-HTTPS and autoscale. Live data counts read 39 positive versus 21 negative texts, proving the glue-code approach at scale.
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chapters (15)
- 0:00Introduction
- 1:27Serverless computing
- 8:05Firebase backend
- 10:12Managed no-ops platforms
- 13:01Cloud Functions
- 16:53HTTP functions demo
- 21:16Deploying Cloud Functions
- 27:23Dependencies and debugging
- 35:45Stackdriver debugging
- 36:52Background functions
- 39:19Vision API demo
- 41:51Sentiment analysis via SMS
- 45:55BigQuery visualization
- 46:36Summary
- 47:03Q&A
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