To prevent data loss during server crashes, implement a retry mechanism with exponential backoff or message queuing systems like Kafka or Google Pub/Sub. This ensures unprocessed events are stored temporarily until the server can process them. Regularly back up server configurations and consider a load-balanced architecture to distribute traffic during high-volume periods. Logging data at the point of collection can also provide a backup reference in case of data loss.
