Capability 04 / 18
Cloud & Infrastructure
Building resilient, cost-efficient platforms that stay available under load.
Cloud infrastructure work is where architecture meets physics — what actually happens when a region goes down, a dependency times out, or traffic spikes ten times overnight. Building for that means designing for failure as the default case, not the exception.
Across AWS, Azure, and GCP, the same principles hold: fault-tolerant topology, sensible redundancy that doesn't burn budget on unused capacity, and infrastructure-as-code that makes the environment reproducible instead of a snowflake only one person understands.
What this looks like in practice
- •Multi-cloud and hybrid topology designed around actual failure domains
- •Autoscaling and capacity planning tied to real traffic patterns, not guesswork
- •Infrastructure as code as the source of truth — environments are reproducible, not artisanal
- •Cost and resilience treated as one trade-off, not two separate conversations