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Introduction to Integration Architecture

Integration Architecture defines how independent systems communicate with each other: through APIs, messaging, events, or orchestration layers. It covers patterns for connecting systems that were never designed together, keeping them interoperable, and ensuring that failures in one system don’t cascade uncontrollably into others.

This discipline sits across the other architecture levels — an integration decision might connect a legacy system to a new cloud service, or link a data platform to an operational application, all while respecting the constraints each side imposes.

Most organizations run many systems, not one, and those systems rarely stay isolated. Integration Architecture exists to make the connections between systems deliberate and resilient — using API-led design, well-defined messaging contracts, and asynchronous patterns — rather than ad hoc point-to-point links that become fragile and hard to change.

Integration engineers, architects, and platform teams responsible for connecting systems across an organization in a reliable, maintainable way.

Integration Architecture is the fifth of seven perspectives covered on the Explore Architecture by Level page, which orders disciplines by organizational altitude (strategy down to services), and often works alongside Data Architecture and Cloud & Infrastructure Architecture.

In this site’s recommended developer learning sequence (see the Learning Path), Integration Architecture comes third, right after Solution Architecture. A solution rarely stands alone — it exchanges data and triggers processes across system boundaries, building directly on the component-integration decisions made at the solution level.

Next: Data Architecture, which addresses the data flowing across those integrations.