In which scenario is it most relevant to use Predictive Diagnostic Cloud (PDC)?

Using Predictive Diagnostic Cloud (PDC) is most relevant in a scenario where a company is monitoring multiple Pega Platform applications. PDC is designed to help organizations gain visibility into the performance and health of their applications across multiple instances. It leverages advanced analytics and machine learning to proactively identify potential issues and provide insights into system performance.

In a company with multiple applications, PDC can aggregate data and generate a comprehensive view of performance metrics, allowing for efficient monitoring and troubleshooting. This capability is especially valuable in complex environments where dependencies and interactions between various applications can lead to performance bottlenecks or issues that would not be as easily identifiable when only observing a single application.

In contrast, using PDC with a single application, limited users, or no performance issues may not justify the overhead of employing such a sophisticated tool, as the benefits of monitoring and diagnostics can be more straightforward and less critical in these scenarios.