With loadforge-cli, your Locust scripts and test configs can live in Git, and your automations (syncing tests, starting runs, waiting for results) live in GitHub Actions. It’s the fastest way to make load testing part of your development workflow.
Writing the same Python helpers across multiple Locust tests is brittle and slow. The Library lets you create shared Python modules—small, reusable functions you can import across all your tests—to keep your performance suite DRY and consistent.
TLDR: LoadForge has introduced automatic anomaly detection for all tests, comparing the last 5 runs to identify significant deviations in key metrics and alert users via reports and connected notification channels, enhancing the ability to spot performance changes in scheduled tests.
•1 min read
We've just released automatic anomaly detection for all LoadForge tests!
Now, LoadForge automatically analyzes the last 5 runs of any test to establish a performance baseline. It then monitors for significant deviations in key metrics like:
p95 response time
Average response time
Error rate
When anomalies are detected, LoadForge will alert you in the run report, and via email, Slack, or other connected notification channels.
This is perfect for teams running scheduled weekly tests, allowing you to catch unexpected regressions or improvements—before your users do.