What are the best practices for log data anomaly detection?

What are the best practices for log data anomaly detection?

The best practices include defining clear objectives, using appropriate algorithms, and ensuring data quality.

Can you explain how to define clear objectives?

Defining clear objectives involves understanding what anomalies you want to detect and why they matter to your business.

What algorithms are commonly used for this?

Common algorithms include statistical methods, machine learning models like Isolation Forest, and clustering techniques.

How do I ensure data quality for anomaly detection?

Ensure data quality by validating data sources, cleaning data, and maintaining consistent logging practices.