Mulesoft API Logging

Master MuleSoft API logging fundamentals, including log levels, log statements and categories, asynchronous logging, end-to-end tracing, cloud logging, and Splunk integration with JSON logger best practices.

Explore the MuleSoft logger component and its logging basics for easier troubleshooting. Configure priorities such as debug, info, and trace, with an optional category and log forge XML configuration.

Explore how logger levels assign priority from trace to error, configure multiple loggers with different levels, and manage log output in Mule apps and CloudHub using log4j2.xml and runtime manager.

Explore how log4j.xml configures logging by defining logger and appender sections, including console, Splunk, and cloud appenders, and how async root and sync logger determine log routing at info level.

Explore how a log statement is formed in MuleSoft, uncovering pattern layout, log levels, and components like date, thread, processor path, and correlation IDs.

Learn to configure log categories in mule, using two appenders for audit and transaction logs to separate audit file and transaction file in the mule runtime.

Explore asynchronous logging, where log statements run on a separate thread to boost performance, and compare it with synchronous logging, which uses a single thread to preserve logs during crashes.

Enable http debug logs by uncommenting the http message logger in the log XML to capture messages crossing the http listener boundary. See the sequence of listener and requester logs.

Track user actions and access in the Anypoint platform with audit logs via the audit logging API or UI, detailing who did what and when, system logs for runtime events.