Log tracking is the process of recording and monitoring the events that occur during the execution of software or workflows. In Activepieces, log tracking is built into flows, allowing users to view execution logs, debug issues, and monitor workflow performance in real time.
Log tracking is the practice of capturing detailed records of system activities. A “log” is essentially a record of what happened, when it happened, and sometimes why it happened. These logs can include successful actions, warnings, and errors.
The concept originates from traditional IT systems and software development, where log files have long been used to monitor system health, detect anomalies, and troubleshoot problems.ž
In automation platforms, log tracking has become equally vital, providing transparency into how workflows run.
In Activepieces, every flow execution is logged. This means users can see whether a step succeeded, failed, or encountered a warning, making it easier to identify problems and optimize workflows.
Log tracking works by recording events as they occur during workflow execution. In Activepieces, the process typically involves:
This design makes sure users have full visibility into what their automations are doing at every step.
Log tracking is important because it brings transparency, reliability, and accountability to workflows. Without logs, users would struggle to understand why a flow didn’t work as expected or whether it even ran at all.
The main reasons log tracking matters include:
For Activepieces, log tracking is a fundamental feature. It ensures users can debug and monitor workflows effectively, which is especially important as automations scale across multiple systems and processes.
Log tracking applies to nearly every automation scenario. Examples in Activepieces include:
These use cases demonstrate how logs provide visibility into both routine operations and problem resolution.
Log tracking is the process of recording events and results during workflow execution. It provides users with detailed information to monitor, debug, and optimize automations.
It is important because it helps users identify issues, ensure workflows run as expected, and create transparency across systems. Logs provide the visibility needed to debug failures and confirm successful runs.
Activepieces supports log tracking by recording detailed execution logs for every flow. Users can review these logs step by step in the dashboard, making it easier to debug errors and monitor performance.
