Managing Data Corruption in the Cloud

This post details the implementation of software-level techniques for detecting and repairing silent data corruption in MongoDB Atlas. It describes the use of checksum validation within the WiredTiger storage engine, the strategic management of database logs to detect error signals, and the architecture involving a data plane and control plane. A MongoDB Agent in the data plane tails logs for specific corruption patterns and emits high-level metadata to the control plane, enabling proactive monitoring and repair without exposing sensitive customer data. The post also references the Performance Advisor feature as an example of the Agent's log-tailing capabilities.