Best Practices for Logging Queries Without Exposing Sensitive Data

In regulated industries, it’s often recommended to disable options like "log_min_duration_statement" due to compliance requirements. Logging sensitive data can put organizations at risk. If you must log certain queries for troubleshooting, consider implementing PII scrubbing methods that align with existing protocols. Additionally, think critically about the actual necessity of slow query logging in a production environment; the volume of logs can become overwhelming and may not provide much new information. Instead, try profiling queries before they hit production and monitor latency via performance insights for a clearer picture.

Consider using CloudWatch’s capabilities efficiently: enable slow query logs but pair them with a strict data protection policy that masks sensitive data as it logs. With tools like AWS data protection features in CloudWatch, you can monitor performance without exposing sensitive details. Here are some links that might help: [AWS Database Products](https://aws.amazon.com/products/databases/) and others related to RDS, Aurora, etc.

You might want to follow a generic approach regardless of the database system: 1) Enable slow query logging exports from RDS to CloudWatch Logs. 2) Create a CloudWatch data protection policy for your RDS log group. 3) Use custom data identifiers or the pre-configured ones for PII to mask sensitive data during ingestion. This way, you can continue logging essential performance metrics while safeguarding sensitive information. Check out AWS’s guidelines on handling sensitive log data for more insights.

There's a feature called query digest in MySQL that helps redact sensitive information from logs. Can this be incentivized to be pushed to CloudWatch in a compliant way? Also, remember to maintain good log hygiene across all application logs, as those can also interact with sensitive data.