How can the architect identify if the Delivery Controller is the source of a bottleneck?

While memory and network utilization can be high, excessive memory use might not indicate a bottleneck if it's used for caching, and network utilization is less often the primary bottleneck for Delivery Controllers compared to CPU, which handles the core processing logic.

Excessive CPU consumption is a primary indicator of a Delivery Controller bottleneck, as these components are responsible for brokering connections, authenticating users, and processing policies, all of which are CPU-intensive tasks. When the CPU is overloaded, it leads to delays in user logons, desktop launches, and overall system responsiveness.

Excessive disk I/O is not typically the primary bottleneck for Delivery Controllers unless the local database is severely under-provisioned, and while network I/O is involved, CPU consumption is usually the more common and impactful bottleneck for the control plane.

Excessive disk I/O and page file utilization points more towards a memory bottleneck (leading to swapping) rather than disk I/O being the primary bottleneck for the Delivery Controller itself, and CPU remains a more direct indicator of a processing bottleneck.