Launching and Growing a Startup on Google Cloud Platform
summary
Shows how to build and scale a startup on Google Cloud Platform using a concrete five-year case study from SnapEngage. Covers adding App Engine, Cloud Storage, BigQuery and Compute Engine step by step to go from an idea to a SaaS handling billions of queries per month, and also notes complementary non-Google developer tools.
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chapters (19)
- 0:00Introduction
- 1:31Experience before GCP
- 4:55First success App Engine
- 7:19Supporting product App Engine
- 9:23Startup launch App Engine
- 11:09Auto-scaling importance
- 13:15Global network performance
- 15:22Datastore persistence
- 18:33Static storage Cloud Storage
- 21:22APIs Cloud Endpoints
- 24:09BigQuery data analysis
- 27:21Migrating stats BigQuery
- 30:56Data visualization BigQuery & D3.js
- 32:43Compute Engine needs
- 33:47Containers Compute Engine
- 35:09Debugging at scale
- 36:56Load balancing auto-scaling
- 37:40Startup credits resources
- 38:48Q&A
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