When we started building a durable workflows library, the most critical architectural decision we faced was what data store to use for workflow metadata. The core durable workflow operations are simple–checkpointing workflow state and recovering an interrupted workflow from its latest checkpoint. Almost any data store can handle these operations, but choosing the right one is critical to ensure workflows are scalable and performant.In this blog post, we’ll dive deep into why we chose to build on...