In order to provide effective diagnostics and logging of error messages produced during the execution of processes across multiple components, techniques are disclosed for the generating, managing, and processing centralized logs containing those error messages. In particular, the components may write error messages to a centralized log instead of writing the error messages to local log files. The various error messages in the centralized log can be read, identified, and organized. Furthermore, enrichments and/or analytics may be applied to the error messages based on information from a knowledge source or the application of one or more machine learning models. The organized error messages, enrichments, and analytics can be stored in an output log that can be easily retrieved and viewed through a graphical interface. The organized error messages, enrichments, and analytics work together to allow for more effective diagnosing of execution errors.