Never Start Over After a Crash

Built for Real-World Interruptions

Internet drops, computer restarts, and unexpected blocks will not destroy hours of progress. Long automation runs are vulnerable to many kinds of interruptions. A single router reset or a Windows update can stop a crawl after thousands of pages have already been collected. Without checkpoint support, that progress is lost.

RTILA X saves checkpoints as your automation executes. Each completed step updates the resume state, so the run can pick up again after an interruption instead of starting over. This feature is especially important for production automations that run unattended, often over hours or days.

How Checkpoints Work

Checkpoints capture the state of a running workflow at a configurable frequency. If the workflow crashes or the machine shuts down, the last saved checkpoint becomes the starting point for the next run. RTILA X resumes from that point and continues with the remaining steps.

A checkpoint includes enough context to continue safely: the current command position, the URLs that have been processed, collected data so far, and the state of important variables. When you restart the flow, RTILA X restores that context and continues as if the interruption had not occurred.

Because the checkpoint is stored locally, all progress remains on your machine. No cloud recovery service or external database is required.

Retry Failed URLs

Checkpoint and resume reduces duplicate work. If a large crawl fails in the middle, the next run only processes URLs that have not yet been completed. Pages that were already collected successfully are not re-crawled.

This makes long jobs much more efficient. A one-thousand-page crawl does not need to begin again from page one and recapture nine hundred pages it already collected. It resumes near the failure point and finishes the remaining work.

Checkpoint Storage

Checkpoints are stored as local project data, so you can inspect and manage them from the RTILA X interface. The storage footprint is small relative to the dataset itself, but it provides a reliable recovery point for every active workflow.

You can also configure checkpoint frequency. More frequent checkpoints provide finer-grained recovery but consume slightly more disk space and CPU time. Less frequent checkpoints are lighter but may result in more work that must be replayed after a crash. The right setting depends on the size and importance of the workflow.

Resuming After Different Failure Types

• Internet connection drops: resume from the last completed step once connectivity returns.
• Computer restart: open RTILA X and continue the open job from its last checkpoint.
• Website blocks a request: retry only the failed URL or continue from the next checkpointed item.
• Power loss or process crash: restore progress from the local checkpoint and continue.

Configuring Checkpoint Frequency

RTILA X lets you choose how often checkpoints are written. The default setting works well for most workflows. For very long or very valuable runs, you can increase frequency to reduce the amount of work that could be lost. For shorter, less critical jobs, you can reduce frequency to keep the project folder lightweight.

Checkpoint configuration is per project, so you can apply different settings to different workflows. A client-facing scrapes that runs over many hours may use one setting, while a quick daily form-fill uses another.

Resume with Confidence

Checkpoints mean you only process the remaining work, not pages you have already collected. Crashes do not have to reset your progress, and long jobs become practical to run unattended.