What is an example of workload separation?

Workload separation involves optimizing performance by assigning different tasks to different machines or resources based on their specific capabilities. Choosing to dedicate a powerful machine for analysis tasks and a weaker one for visualization is a prime example of this principle.

By having a powerful machine handle resource-intensive analysis tasks, you ensure that complex computations can be performed efficiently without hindering the performance of other processes. Meanwhile, a less powerful machine can manage the visualization tasks, which typically require fewer resources. This separation minimizes resource contention, enhances overall system performance, and improves response times for users engaged in visualizing data.

This approach not only maximizes the use of available hardware but also allows for more effective management of workloads, leading to better performance and user experience.