DolphinDB is a high-performance time-series database increasingly used in financial and IoT applications. Effective log management is critical for troubleshooting, security auditing, and compliance. This guide walks through the essential steps: configuring log levels and outputs, setting up centralized log collection, and implementing audit trails to track user activities and data access. Key considerations include log rotation to manage disk usage, structured logging for easier parsing, and integrating with external monitoring tools like Elasticsearch or Grafana. The article also highlights common mistakes, such as neglecting log retention policies or failing to secure log data, which can lead to operational blind spots. For teams running DolphinDB in production, mastering these practices ensures better reliability and faster incident resolution.
A practical guide to setting up and managing logs in DolphinDB 2.x, covering configuration, collection, and audit trails for production environments.