Capacity planning in systems management Which statement best characterizes capacity planning practices?

Introduction / Context:
Capacity planning ensures computing resources meet current and future workload demands. Planners forecast CPU, memory, storage, and network needs based on measured utilization and growth trends.

Given Data / Assumptions:

• Performance metrics such as CPU utilization, I/O wait, queue lengths, throughput, and response time are available.
• Tools and the operating system influence what can be measured and controlled.
• Capacity planning applies to environments of all sizes.

Concept / Approach:

Accurate capacity planning relies on detailed measurements and historical data to model workloads. OS instrumentation and monitoring tools provide these data points. The process is not OS-independent; features and limits differ by platform. Even small installations benefit from planning to avoid outages and overspending.

Step-by-Step Solution:

Verification / Alternative check:

Industry frameworks (for example, capacity management in ITIL) emphasize measurement and monitoring as prerequisites for forecasting, confirming option a.

Why Other Options Are Wrong:

b: OS features and schedulers affect performance behavior. c: Without monitoring tools, reliable data are unavailable. d: Small installations also need planning to avoid resource saturation.

Common Pitfalls:

Relying on averages and ignoring peaks; neglecting storage IOPS or network bottlenecks; failing to account for seasonal growth.

Final Answer:

Requires detailed system performance information