#multi-cloud

How is your team handling multi-cloud latency for real-time AI inference?

Was hybrid cloud always the right answer, or just a compromise nobody wants to admit?

Do you genuinely trust your cloud provider’s "five nines" SLA, or do you secretly run a failover setup because you don't?

How do you pick a bare metal provider that doesn't lock you into proprietary APIs?

Is "cloud-agnostic" just a buzzword for developers who can’t commit to a real stack?

Has your cloud provider locked you into a vendor trap with proprietary AI tools?

Is the "hybrid cloud" trend just a cope for companies that failed at either private or public cloud?

Is multi-cloud just expensive vendor lock-in that nobody admits is failing?

Is a hybrid cloud strategy actually the best of both worlds, or just double the complexity and double the vendor lock-in?