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...ripple across others. Most architects are trained to think about one system at a time. Enterprise and strategy architects must think about the portfolio — the system of systems. This shift from single-system...

...one tool early, stay loyal to it, and miss things that would genuinely help them. Neither is a good strategy. And both stem from the same problem: no mental map. The thing is, the landscape only looks...

...documented, teams design solutions that ignore existing constraints — integration debt, legacy dependencies, data quality issues, regulatory requirements, and organisational capacity. The result is a target state...

...decomposition. Write that down before moving on. Strategies for decomposition — By domain, capability, data, team There are many ways to break a system apart. The strategy you choose determines what kind...

...most consequential decisions an architect makes. Here's a concrete example. Adding a cache reduces database load — that's the component. But the cache invalidation bug that appears three weeks later?...

...operational backbone Model serving — making models accessible RAG architecture — grounding AI in your data Infrastructure design Monitoring — watching for silent degradation Scaling The production pipeline...

...answer these three questions: Question Your answer What are the main components? e.g. Frontend, API, database, message queue How do they connect? e.g. Frontend calls API, API writes to DB, publishes events...

...hide what doesn't. A service API hides internal implementation. Consumers see the contract, not the database schema, the cache layer, or the business algorithm. Boundaries — draw lines between things that...

...Multimodal AI expands what agents can do — agents can now see and hear, not just read. It creates new data challenges — images and audio need different pipelines than text. And it expands use cases dramatically:...