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Log Clarity: Balance Machines and Humans
Understanding logs requires clarity and structure, particularly in distributed systems where different formats and logging systems can complicate event tracing. Contextual information such as trace IDs, order numbers, and user IDs enhances log usefulness, but standardization of log formats is crucial for effective data retrieval and analysis. It highlights a tension between human readability and machine parsing. While JSON is often seen as a structured format, its complexity can hinder human comprehension. Alternatives like log-fumped, which uses key-value pairs, strike a better balance between machine and human interaction, promoting consistency and ease of access. Ultimately, regardless of the format, structured logging is essential for effective parsing and retrieval, emphasizing the need for a clear strategy in logging practices.