See Performance Before It Becomes a Problem

Why Memory Usage Matters

Long automation runs build up browser state. Each page load may create JavaScript objects, cache images, and hold network buffers in memory. If a workflow processes thousands of pages without releasing that memory, total usage can climb until the system becomes slow or the run crashes.

Monitoring memory lets you spot those trends early. RTILA X exposes current usage and recent changes in the execution view, so you can see when a workflow is consuming more resources than expected. This information is especially useful on machines with limited RAM or when running multiple profiles at once.

Reading the Monitor

The monitor displays a simple current usage value and a recent trend. During normal execution, you should see memory rise and fall as pages are loaded and closed. If usage climbs steadily without dropping, the workflow may be holding too much state between steps.

The log also records memory data at key points. You can review a completed run and look for long plateaus of high usage. Those plateaus often show where the workflow needs a page close, a state reset, or a profile cleanup command.

Preventing Resource Problems

When you see memory pressure building, you have several options. You can pause the run and adjust settings before resuming. You can add explicit cleanup commands that close tabs or clear captured data between pages. You can also split the workflow into smaller batches that run separately.

Scheduled workflows benefit from the same monitoring. If a nightly run is slowly using more memory over time, the logs will reveal the trend before the job starts failing. That visibility lets you fix a performance problem before it becomes a reliability problem.

Monitoring for Multi-Profile Workflows

If you run several browser profiles in parallel, total memory use matters more than any single profile. RTILA X shows overall utilization for the current run, and you can adjust the number of concurrent profiles based on that data. Reducing one heavy profile can keep all of the jobs running smoothly.

This is practical capacity planning rather than deep performance engineering. The memory monitor gives you enough information to balance your machine’s resources across the workflows that matter.