Debug logging is essential for maintaining high-performance applications across different architectures. Effective debug logging requires being selective about what to log, using structured formats like JSON, including contextual information such as correlation IDs, and implementing techniques like parameterized logging and rate limiting. Key practices include avoiding over-logging, never logging sensitive data, maintaining consistent formatting, and using centralized log management platforms. The guide covers specific tools for different languages (Winston for Node.js, structlog for Python, SLF4J for Java) and emphasizes the importance of correlation IDs for distributed tracing in microservice environments.
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