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currently, there is only the ability to write logs in a format that is consumable via the console. ingesting this logging format into a centralized logging system poses multiple challenges. for example:
Benefits: JSON-formatted logs improve parsing, filtering, and searching, making it easier to analyze logs in centralized logging systems.
Compatibility: Logging frameworks or centralized logging systems e.g., Elasticsearch, Splunk, etc. this feature would support or align with.
Flexibility: Toggle between JSON and text format to maintain backward compatibility with current console logging.
Structure Requirements: specific fields or structure requirements e.g., timestamps, log levels, error codes to ensure the JSON format aligns with logging system’s ingestion schema.
adding the ability to format/encode logs in json would address these challenges
The text was updated successfully, but these errors were encountered:
currently, there is only the ability to write logs in a format that is consumable via the console. ingesting this logging format into a centralized logging system poses multiple challenges. for example:
Benefits: JSON-formatted logs improve parsing, filtering, and searching, making it easier to analyze logs in centralized logging systems.
Compatibility: Logging frameworks or centralized logging systems e.g., Elasticsearch, Splunk, etc. this feature would support or align with.
Flexibility: Toggle between JSON and text format to maintain backward compatibility with current console logging.
Structure Requirements: specific fields or structure requirements e.g., timestamps, log levels, error codes to ensure the JSON format aligns with logging system’s ingestion schema.
adding the ability to format/encode logs in json would address these challenges
The text was updated successfully, but these errors were encountered: