A multi-cloud platform promises flexibility, resilience, and vendor neutrality. But the pain points hit hard when systems scale. The root problems aren’t hidden—they’re in plain sight.
The first pain point is integration. Each cloud has its own SDKs, authentication flows, and quirks in resource naming. Writing glue code between AWS, GCP, and Azure means tripling surface area for bugs. Version drift adds another layer, where one provider’s service deprecates before the patch lands for another.
The second pain point is observability. Logs fragment across stacks. Metrics live in separate dashboards with different retention policies. Tracing requests from a user click to multiple cloud functions becomes an exercise in stitching incomplete data. Without unified monitoring, incidents take longer to diagnose, increasing downtime.
The third pain point is compliance. Every provider implements security and data residency in slightly different ways. Regulatory frameworks like GDPR or HIPAA demand uniform controls, but the native tools are not designed to cross boundaries seamlessly. Gaps appear when you audit access policies or encryption standards across regions.