JSON logging is a popular method for structuring log files, allowing organizations to extract, manipulate, and analyze log data efficiently. JSON, or JavaScript Object Notation, offers a machine-readable format that is easy for humans to read and write, making it ideal for encoding data with its simple key-value pair syntax. Unlike XML, JSON doesn't require complex schemas, enabling easier data exchange and understanding. This readability and flexibility make JSON an excellent choice for generating structured log statements, as it allows for easier extraction and filtering of data without breaking parsing logic if formats change. JSON logs are supported by all major programming languages and can transform log management, especially in environments with multiple systems generating diverse log messages. Using JSON format helps in capturing detailed log data, designing consistent log structures, and integrating with log analysis platforms like Coralogix, which can extract and visualize data for better system understanding and insight generation. Even for systems where direct JSON logging isn't possible, logs can be parsed into JSON format post-facto to gain the same benefits.