Event Rate Monitoring

Log Analysis Sliding Window Data Streams

You are given a log file where each line represents an event. Each line follows the format:

<ISO 8601 timestamp> <event detail>

For example:

2024-11-14T15:23:45 UserLoggedIn
2024-11-14T15:24:03 FileDownloaded
2024-11-14T15:25:10 UserLoggedOut

Your task is to implement a function that analyzes these log entries to detect time intervals during which the number of events exceeds a specified threshold within a given sliding window (in minutes).

Detailed requirements:

  1. The function should accept the following parameters:

    • The list of log entries (or a filename to be read).
    • A threshold value (an integer representing the minimum number of events).
    • A window size in minutes (the period over which events are counted).

  2. Identify and return all intervals (as pairs of start and end timestamps) where the number of events in any sliding window of the specified size exceeds the threshold.

  3. Assume that the log entries are in chronological order.

  4. Aim to optimize the solution for efficiency with respect to time complexity.

  5. You can use any programming language. Provide complete code along with any necessary unit tests or examples to demonstrate the correctness of your solution.

Good luck!