Challenges and Trade-offs

Not every DPI deployment requires the same level of cloud-agnostic investment. A small-scale pilot serving a single district has different needs than a national identity system processing millions of transactions daily. The maturity-tiered recommendations in this document help countries "right-size" their approach: start with containerization and infrastructure-as-code (achievable with modest teams), add data portability measures as user bases grow, and invest in full multi-provider deployment only when the system becomes critical national infrastructure. The key question is not whether to pursue cloud agnosticism, but how much to invest at each stage of system maturity.

That said, cloud-agnostic architecture is not without costs and challenges:

• Performance Optimization — Provider-specific services often offer performance advantages. Cloud-agnostic architecture may sacrifice some optimization opportunities for portability.

• Development Velocity — Abstraction layers add complexity that can slow feature development. Teams must balance portability with delivery speed.

• Operational Overhead — Managing portable infrastructure requires expertise across multiple platforms, increasing operational burden compared to deep specialization in one provider.

• Cost Considerations — Cloud-agnostic architecture may increase costs through abstraction overhead, multi-provider testing, or suboptimal resource utilization. These costs should be weighed against the risks they mitigate.