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Azure Architecture Blog
13 MIN READ

Cloud Native Platforms: Evolve

KishoreKumarPattabiraman's avatar
KishoreKumarPattabiraman
Icon for Microsoft rankMicrosoft
May 21, 2026

Part 3 of three on cloud-native platform engineering on Azure. This part covers what changes when AI becomes part of the platform: AI workflows, agent guardrails, prompts and templates as assets, measurement, the developer-experience shift, and Responsible AI as engineering work.

Audience: Engineering leaders, platform architects, senior developers exploring how to operationalise AI in their teams Reading time: 8 minutes Series: Cloud Native Platforms. Build, Run, Evolve....
Updated May 15, 2026
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KishoreKumarPattabiraman's avatar
KishoreKumarPattabiraman
Icon for Microsoft rankMicrosoft
May 23, 2026

This article is Part 3 of a three-part series. To revisit the earlier stages:

Part 1 — Build: Cloud Native Platforms: Build
Part 2 — Run: Cloud Native Platforms: Run

The series is structured as Build → Run → Evolve to reflect the natural progression of platform maturity.

If you are in the foundational stage or designing a new platform, start with Build.
If your platform is already live and your focus is on reliability, scalability, or cost optimization, Run will be most relevant.
If you are exploring advanced capabilities such as AI integration and long-term platform evolution, continue with Evolve.