Which two challenges must be addressed to avoid new bottlenecks?

To effectively address performance bottlenecks in a system, particularly in the context of data processing and management, ensuring that CPU resources are utilized efficiently is crucial. Avoiding idling CPU cores means leveraging the full computational power available to the system. Idle CPU cores can represent wasted resources, leading to underperformance, especially in scenarios where maximum processing capability is needed for tasks such as data analytics or real-time processing.

In environments like SAP HANA, where rapid data retrieval and processing is essential, ensuring that CPU cores are actively engaged with workloads helps to maintain optimal performance levels. This can be particularly important when dealing with large datasets or complex calculations, where the demand for processing power can spike.

While avoiding excessive disk I/O, a single network bottleneck, or overly stringent data optimization practices can also contribute to system performance, focusing on the active utilization of CPU resources is fundamental. This prevents scenarios where data processing tasks are delayed due to insufficient computational power, making it a primary challenge to address.