AI-Based Containerization: Portability Framework
summary
Demo shows evolute migrate (CLI named Chrysalis) connecting to a VM, extracting a GlassFish app, producing a Docker image and running the pet‑clinic successfully in a container. Uses a BCD (binary configuration data) pipeline that classifies binary/config/data with k‑means clustering and decision‑tree translation maps to determine ~3,100 deterministic paths. Claims 99% of apps convert without intervention, targets VM→container and serverless on AWS/GCP/Azure, emits lightweight images and Kubernetes manifests and supports Azure SQL and Amazon Linux destinations.
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chapters (10)
- 0:00AI-based containerization intro
- 2:01Containerization evolution
- 4:29BCD framework basics
- 7:13Chrysalis container demo
- 13:00AI in BCD classification
- 16:49Runtime separation patterns
- 20:21Container manifest edge cases
- 23:30Scalable architectures
- 27:20Modernization roadblocks
- 30:53Scalability patterns
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