Docker container log analysis is crucial for troubleshooting and performance optimization. Analysis methods: 1) use docker logs to view container standard output logs; 2) use --tail parameter to view latest logs, -f parameter for real-time tracking; 3) use --since and --until parameters to filter by time; 4) use log aggregation tools (such as ELK Stack, Fluentd, Loki) for centralized collection and analysis; 5) use grep, awk and other tools to filter and analyze log content; 6) use log analysis platforms (such as Splunk, Datadog) for advanced analysis. Logging best practices: structured log output (JSON format), reasonable log level settings, avoid sensitive information leaks, regularly clean old logs.