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How do you handle logging in distributed Python applications?

Mid Python
Quick Answer Distributed logging: use structured logging (JSON format) so logs are parseable. Include trace/correlation IDs to link log entries across services. Centralize logs with ELK stack or cloud logging. Use logging.handlers.SysLogHandler to forward to syslog. python-json-logger library for JSON output. In async code, pass context via contextvars to ensure correlation IDs are included in all log entries.

Answer

Use structured JSON logging.
Forward logs to ELK, Fluentd, or centralized servers.
Include correlation IDs for traceability.
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