Temporal Cloud's shift to a multi-cloud platform, expanding from AWS to Google Cloud, underscores the evolving necessity for SaaS providers to adopt multi-cloud strategies driven by customer needs and market dynamics. This expansion faced challenges such as increased architectural complexity and the need to maintain feature parity across providers, which were addressed by leveraging cloud-agnostic workflows and Temporal's durable execution model. These workflows, using a factory pattern and provider-specific implementations, allowed Temporal Cloud to manage distributed systems efficiently while maintaining a clean and extensible codebase. The experience highlights the importance of adapting to the specific requirements and offerings of different cloud providers, and Temporal Cloud's ongoing efforts to achieve feature parity and eventually expand to Azure demonstrate a commitment to a flexible, customer-centric approach in the multi-cloud landscape.