Reference architecture of an Internal Developer Platform on Azure

Reference architecture of an Internal Developer Platform on Azure

Explore the updated Reference Architecture for an Internal Developer Platform on Azure, built from real-world platform team patterns and AI-era lessons. It shows how to design a GitOps-first, secure-by-default, and observability-native IDP across five planes (Developer Control, Integration & Delivery, Resource, Security, Observability), with clear team roles and standardized golden paths for safe, scalable self-service.

Explore the updated Reference Architecture for an Internal Developer Platform on Azure, built from real-world platform team patterns and AI-era lessons. It shows how to design a GitOps-first, secure-by-default, and observability-native IDP across five planes (Developer Control, Integration & Delivery, Resource, Security, Observability), with clear team roles and standardized golden paths for safe, scalable self-service.

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Discover how leading organizations are advancing their Internal Developer Platforms on Azure through:

  • Designing for a multi-platform reality across backend, frontend, data/AI, and mobile IDPs

  • “Code as truth” control planes where every action becomes a Git-tracked change via portal, CLI, or chat

  • A backend-first Platform Orchestrator that standardizes delivery with shared metadata and policy guardrails

  • Security embedded end-to-end, making least-privilege access and policy-as-code the default

  • Observability-by-default platforms that turn telemetry and SLOs into continuous feedback loops

  • AI-augmented workflows with copilots and agents across IDE, CLI, and conversational chat-ops

Discover how leading organizations are advancing their Internal Developer Platforms on Azure through:

  • Designing for a multi-platform reality across backend, frontend, data/AI, and mobile IDPs

  • “Code as truth” control planes where every action becomes a Git-tracked change via portal, CLI, or chat

  • A backend-first Platform Orchestrator that standardizes delivery with shared metadata and policy guardrails

  • Security embedded end-to-end, making least-privilege access and policy-as-code the default

  • Observability-by-default platforms that turn telemetry and SLOs into continuous feedback loops

  • AI-augmented workflows with copilots and agents across IDE, CLI, and conversational chat-ops

See sample