Service-oriented architecture as an ecosystem
summary
Argues for treating service-oriented architecture as a business-aligned ecosystem that prioritizes core capabilities first, builds reusable APIs on top of domain-driven models, and deploys container and PaaS strategy with platform teams and SMEs to implement it. Uses metrics like API consumption and developer velocity as leading indicators of ROI, exposes ML as a capability behind APIs rather than a headline, and identifies legacy architectural complexity and missing skills as the biggest barriers to progress.
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chapters (9)
- 0:00Introduction
- 0:49How do you expose unique properties
- 2:17Digital Platforms Strategy
- 3:31People
- 4:12Customers
- 5:44Machine Learning
- 6:35AI ML
- 7:51Change in the industry
- 8:32Leaders vs laggards
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