There are several ways to reduce Logging Analytics noise.

Reducing noise in Logging Analytics improves log analysis focus:

Use parsed logs search (C): Searches based on extracted fields (e.g., severity=ERROR) filter out irrelevant logs, targeting specific issues.

Use time-picker to limit the volume of logs (D): Narrows the time range (e.g., last hour), reducing the dataset to relevant periods.

Why not A or B?

Histogram records (A): Visualizes data distribution, not a noise reduction method.

Specific keywords (B): Useful but less precise than parsed fields; raw text search isn’t emphasized in Logging Analytics.

These methods enhance signal-to-noise ratio.