What should be reviewed if a process model's expected behavior does not match its observed behavior?

When troubleshooting a process model's expected behavior versus its observed behavior, reviewing resource usage is crucial. High resource usage may lead to performance bottlenecks and can impact how the process executes. For instance, if a process is consuming excessive CPU or memory, it might not execute as intended, resulting in delays or failures in task completion.

Understanding which resources (like CPU, memory, and network bandwidth) are being heavily utilized can help identify if the process is being constrained in its execution. A thorough analysis of resource usage allows developers to optimize the process model, ensuring that it has adequate resources for smooth operation. This aspect is vital in large-scale applications where multiple processes run concurrently, and resource allocation plays a significant role in overall system performance.

Other aspects, like event logs, database connections, and code quality, are also important in diagnosing issues, but resource usage directly correlates with the live performance and execution capabilities of the process model.