Distributed systems operating across Amazon Web Services and Microsoft Azure often encounter critical failures when attempting to manage shared global state. In a multicloud environment, where a command service in AWS and a worker process in Azure must coordinate access to a shared resource, such as a high-value financial ledger or a limited inventory pool, traditional local concurrency controls are insufficient. Relying on eventual consistency in these scenarios introduces the risk of race conditions, where simultaneous writes lead to data corruption or double-spending events. These failures result in direct revenue loss and a fundamental compromise of data integrity. The definitive architectural solution is the implementation of a Cross-Cloud Distributed Lock Manager (DLM) utilizing a high-consistency semaphore store.…