RChilli uses several mechanisms to record and monitor test and production outcomes.
Internal reports
Structured reports track parsing accuracy trends, matching performance, error cases, and dataset-level behavior. These support audits, version comparisons, and long-term analysis.
Real-time dashboards
Dashboards provide near real-time visibility into API response time, throughput, parsing success rates, and matching behavior patterns.
Automated alerts
Alerts are configured to notify relevant teams when thresholds are crossed, such as spikes in error rates, drops in parsing success rate, abnormal score changes, or latency degradation.
Continuous improvement loop
Monitoring insights are fed back into analysis, fixes, validation, and deployment. This supports ongoing refinement of parsing, matching logic, fairness validation, and performance.
This monitoring model helps RChilli detect degradation early and maintain reliability over time.
If you need further assistance, feel free to contact the RChilli Support Team by sending an email to support@rchilli.com.
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