Manage performance for large concurrent classes

Outcome You design teaching material and application sizing to keep performance acceptable when many students run code simultaneously.

Before you start

• You are designing material for an interactive session with a large class.

• You have a sense of which code examples involve heavy computation.

Every student in a course runs code in the same application configuration as the instructor. When many students execute computationally intensive code concurrently, application performance can be lower than what you experienced while developing the material (when fewer users were active).

For interactive sessions with a large class, two options:

• Design code examples that execute within a minute or so at most.

• Configure the space with larger per-student application sizes - see Reference › Applications for size options.

For the most performance-sensitive cases, contact Nuvolos support to discuss dedicated compute nodes for each student application. For out-of-class work where concurrency is lower, these considerations can be relaxed.