Sipping the Nectar of Amazon from the Serverless Chalice
summary
Shows how to take a Python service from POC to production using Chalice on AWS: builds a scheduled weekly reporter, an image thumbnailer and an ETL pipeline, deploys via chalice deploy, and relies on AWS IAM roles and stages for per-environment config. Covers the need to vendor compiled dependencies (C extensions) into a vendor folder, pitfalls with RDS connection limits when functions scale (about 250 concurrent instances observed), and how packaging, testing, and stage configs make it work in production.
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chapters (13)
- 0:00Start
- 1:00Topics covered
- 2:55Why this route?
- 4:08What is serverless?
- 10:49Publishing from Shell (prereqs)
- 13:06Developing and testing
- 14:16n-tier design
- 15:14Click library for entry point
- 15:42Splitting work into modules
- 16:51Stateless +
- 20:53IAM role basics
- 23:49Be ware of horizontal scaling Horizontal scaling comes for free with Lambda
- 24:53In conclusion
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