A lot of companies arrive at multi cloud kubernetes the same way. Not through strategy decks, but through friction.
One cloud got you to market fast. Then the bill became harder to predict. A customer asked where data lives. One team wanted a managed database that only one provider handled well. Another team got nervous…
A Kubernetes app can look healthy all week, then fail the moment real traffic arrives. CPU is not maxed everywhere. Memory is not exhausted everywhere. Yet users see timeouts, retries, and partial outages because requests pile onto the wrong pods at the wrong time.
That is why load balancing in kubernetes matters more than many…
