The phrase "we might need this later" drives cloud complexity that costs millions. A Skunk Works principle and a single question can prevent architecture debt.
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The phrase lands in every architecture meeting. Someone says: "We might need this later." A new service gets drawn on the whiteboard. Another layer, another dependency. A few months after that, the system is opaque to everyone who built it.
At Lockheed's Skunk Works, Kelly Johnson faced a different problem. His planes had to be repairable in the field by mechanics with basic tools. A sophisticated plane that no one could fix in an emergency was dead weight. From that came the KISS principle. Apply it to cloud infrastructure and the question is simple: can your on-call engineer understand this at 3 a.m.? If not, it's not sophistication. It's a liability.
Four patterns produce that liability. Service sprawl: a startup starts with three services and adds one for every feature, until the system no longer fits in anyone's mind. Abstraction stacking: Kubernetes for a monolith that never needed it. Misunderstood high availability: multi-region replication that degrades the real SLA because synchronization and failover cost more than the uptime gain. Over-anticipation: an early-stage fintech builds for 10 million customers before it has ten.
Each one starts with good intentions. Each one ends with a system that is slow to change, expensive to run, and hard to debug.
The cost is not just infrastructure. It is engineering time diverted from product to platform. It is recruitment: finding people trained on a stack only three team members understand. It is agility: every experiment risks breaking something no one fully controls. It is reliability: longer mean time to recovery and a wider attack surface.
The fix is not to ban complexity. It is to make complexity earn its place. Before adding any component, ask: does it solve a real problem or a hypothetical one? Does the value justify the cognitive load? Have we seriously tried to solve this with what we already have? Does the team already master this technology?
Werner Vogels, Amazon's CTO, used the term "simplexity" at re:Invent 2024. The idea: build systems that are complex under the hood but simple to operate. Complexity should be absorbed by the provider or an internal platform, never pushed onto the product team.
Antoine de Saint-Exupéry put it before the cloud existed: "Perfection is achieved not when there is nothing more to add, but when there is nothing left to take away."
The next time a whiteboard fills with arrows and sticky notes, try one question: what could I remove without losing anything essential?
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