From Cloud Architecture to Computational Architecture

For more than a decade, modernization in enterprise technology circles largely meant one thing: move legacy systems to the cloud. And to be fair, that shift solved many real problems. Elastic compute replaced hardware constraints, distributed storage improved resilience, and infrastructure provisioning became dramatically faster.

But as agencies increasingly operate across complex ecosystems of cloud services, data platforms, analytics engines, and mission applications, something interesting has started to happen. Teams are realizing that simply moving systems to the cloud doesn’t automatically free them from the architectural gravity of the past. Many systems that migrated successfully still behave like they did when they lived in data centers, rigid, tightly coupled, and surprisingly difficult to evolve.

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