Fixed-Size Sliding Window

Give a real production-style example of using Fixed-Size Sliding Window. Walk through the scenario end-to-end.

Answers use simple, clear English.

Quick interview answer

Scenario: Network monitor: max bytes/sec over any 60-second rolling window from per-second samples. Implementation notes: State window size k explicitly; track running aggregate incrementally.

Detailed answer

Scenario: Network monitor: max bytes/sec over any 60-second rolling window from per-second samples. Implementation notes: State window size k explicitly; track running aggregate incrementally. Core: Maintain a window of size k; slide by adding the right element and subtracting the left. Ideal for max/min/average of every contiguous subarray of length k. Real-time example: Network monitor: max bytes/sec over any 60-second rolling window from per-second samples. Pros: O(n) single pass; avoids recomputing overlapping segments from scratch. Cons: Only applies when window size is fixed; variable windows need expand/shrink logic. Common mistakes: Off-by-one on window bounds; forgetting to seed the first window before sliding. Best practices: State window size k explicitly; track running aggregate incrementally. Audience level: Fresher.

Full explanation

Maintain a window of size k; slide by adding the right element and subtracting the left. Ideal for max/min/average of every contiguous subarray of length k.

Real example & use case

Network monitor: max bytes/sec over any 60-second rolling window from per-second samples.

Pros & cons

Pros: O(n) single pass; avoids recomputing overlapping segments from scratch. Cons: Only applies when window size is fixed; variable windows need expand/shrink logic.

Common mistakes

Off-by-one on window bounds; forgetting to seed the first window before sliding.