Analyzing Pets and Live Debugging: Using Google's Machine Learning APIs and Stackdriver Debugger
summary
An app scrapes r/aww, uploads images to Google Cloud Storage, runs the Vision API to save top labels and OCR results, and shows those labels on a web page; video processing (1:38) completes in about 15 seconds using the Video Intelligence API. Live debugging uses the Stackdriver Debugger via the Java buildpack and GCP Service Broker: breakpoints capture stack traces and local variables in production, snapshots are shareable, and the demo code is available in the GCP service broker repo.
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chapters (9)
- 0:00Introduction
- 0:36GCP and Cloud Foundry overview
- 1:12Machine learning APIs
- 4:21Combining machine learning APIs
- 5:46Stackdriver debugger overview
- 6:51Demo: Setting up services
- 11:02Live debugging and analysis
- 16:02Conclusion and wrap-up
- 17:06Q&A session
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