AppStream Latency Issue

There are a few potential factors to consider in this scenario where some students experience a typing delay when using Adobe Creative Cloud on AppStream, even though the latency appears low:

Instance Capacity and Utilization:
    Even though the overall bandwidth usage is not high, the specific AppStream instances hosting the Adobe Creative Cloud applications may be reaching their capacity limits.
    Check the CPU, memory, and GPU utilization on the AppStream instances serving the students. If these resources are being maxed out, it could lead to performance degradation, even with low network latency.
    Consider scaling up to larger instance types (e.g., from graphics-design.xlarge to graphics-design.2xlarge) or increasing the number of instances in the fleet to distribute the load.

Network Contention:
    While the overall network bandwidth may be sufficient, there could be contention or congestion within the local network at the school, specifically on the wireless network or on the internal switches/routers.
    Evaluate the network infrastructure at the school, including the wireless access points, switches, and any potential bottlenecks. Ensure the network is designed and configured to handle the AppStream traffic effectively.

Client-side Performance:
    The typing delay could also be attributed to the performance of the Chromebook devices used by the students.
    Verify the hardware specifications of the Chromebooks, such as CPU, memory, and GPU, to ensure they meet the recommended requirements for a smooth AppStream experience.
    Consider testing the performance of the Chromebooks by running benchmark tools or using alternative lightweight applications to identify any potential device-specific performance issues.

AppStream Session Settings:
    Review the AppStream session settings, such as the display resolution, color depth, and network bandwidth limits, to ensure they are optimized for the specific use case and the Chromebook hardware.
    Experiment with adjusting these settings and evaluate the impact on the typing responsiveness.

Troubleshooting Tools:
    Utilize the AppStream 2.0 session metrics and logging features to gather more detailed information about the performance of the instances, network, and client devices.
    You can also consider using tools like AWS X-Ray or Amazon CloudWatch to monitor and analyze the end-to-end performance of the AppStream 2.0 environment.

Start by investigating the instance utilization and the local network infrastructure, as these are common sources of performance issues in an AppStream 2.0 deployment.