Durable Player Sessions with Temporal Actor Workflows

This post details how to model each player in a multiplayer game as their own durable, independently-running Temporal Workflow. This approach addresses the common problem of player state living in memory and being lost on server crashes. Each player Workflow is identified by their player ID and manages state like inventory, health, and position. Game actions such as joining a room, executing combat moves, or updating leaderboards are driven through Activities invoked by the Workflow. The post highlights that when a server goes down, the Workflow resumes on another Worker from its last point of execution without state loss or requiring reconnection logic. It also mentions that Continue-As-New handles long-running sessions to prevent unbounded history growth.