The Evolution to Platform Engineering 2.0
summary
Survey data shows 90% adoption of platform engineering and 76% with dedicated teams and argues for five concrete pillars: an AI-native platform that supports GPUs, agentic workloads and 10x pipeline throughput; a Multi-Persona Experience with self-service GPU provisioning and model registries; Embedded FinOps with pre-deployment cost gates and token-level attribution; Security Shifts Down via platform-enforced mTLS, secret rotation, runtime policy, inference audit and model governance; and a composable, versioned API-first architecture for plug-and-play migration.
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chapters (6)
- 0:00Introduction and speaker intro
- 2:34State of platform engineering today
- 6:06Why platform engineering 2.0 is needed
- 9:18Five pillars of platform engineering 2.0
- 22:23Call to action and future outlook
- 26:15Q&A session
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