Configure custom retry rules based on repositories, workflows, job names, and failure patterns. Set max attempts, delays, and conditions for intelligent retries.
Track all retry attempts with detailed history including status, timing, and links to GitHub workflow runs. Filter by status, repository, and time range.
Monitor retry success rates, time saved, daily trends, and identify most retried workflows. Make data-driven decisions to improve pipeline reliability.
Set custom delays between retry attempts to handle transient failures. Configure exponential backoff or fixed delays based on your needs.
Experience the power of automated retries with our intuitive dashboard and comprehensive analytics.
Auto-Retry Dashboard Screenshot
Our intelligent auto-retry system automatically handles transient failures, saving your team time and improving pipeline reliability.
A simple yet powerful system that automatically retries failed jobs based on your custom rules.
Create custom retry rules targeting specific repositories, workflows, or job names. Set conditions like max attempts, delays, and failure patterns.
When a workflow fails, our system automatically checks if it matches any retry rules and triggers a retry with the configured delay. No manual intervention needed.
View detailed history of all retry attempts, including success rates, timing, and links to GitHub runs. Monitor trends and optimize your rules.
Use comprehensive analytics to identify patterns, measure time saved, and continuously improve your CI/CD pipeline reliability.
Transform your CI/CD pipeline with intelligent auto-retry
Eliminate manual retries and reduce time spent investigating transient failures
Reduce false negatives and improve overall pipeline success rates automatically
Track metrics and analytics to continuously optimize your CI/CD processes