System overload occurs when a system, whether computational, mechanical, or organizational, exceeds its capacity to process inputs or manage tasks, leading to reduced performance or failure. It is crucial to identify and mitigate overload to maintain efficiency and prevent breakdowns or data loss.

System Overload

System overload

Computational overload

Mechanical Overload

Organizational overload

capacity to process inputs

Capacity to manage tasks

reduced performance

System failure refers to the complete malfunction or breakdown of a system, preventing it from performing its intended functions. It can result from various causes, including hardware defects, software bugs, human error, or external factors, and often requires a thorough analysis to prevent recurrence and mitigate impacts.

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