Who should use the Performance Monitoring workflow?
Teams or solo builders working on data tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
4-step pipeline — follow each step in order
1Setup · Step 1 of 4
Open task pageMonitor Data Quality
Ensure clean and reliable input data by running a data quality check using Soda AI to identify and resolve anomalies before performance monitoring begins.
Why this matters
Data quality monitoring prevents downstream errors and ensures that performance metrics are based on accurate data, avoiding wasted time on flawed insights.
What you get
Input datasets are validated as clean, with any quality issues flagged and corrected, providing a solid foundation for performance analysis.
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2Core · Step 2 of 4
Open task pagePerformance Monitoring
Execute performance monitoring with TruLens to track key performance indicators, detect anomalies, and generate a comprehensive performance report.
Why this matters
This is the central step where actual performance data is collected and analyzed, forming the basis for all subsequent refinement and decision-making.
What you get
A detailed performance report with metrics and anomalies is produced, ready for quality checks and further optimization.
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3Refine · Step 3 of 4
Open task pageIntent Data Monitoring
Refine the performance report by analyzing intent data with Loop Lab to validate the accuracy of flagged anomalies and ensure actionable insights.
Why this matters
Intent data monitoring adds a layer of validation, confirming that performance issues are real and not artifacts, thus improving report reliability.
What you get
The performance report is validated and enhanced with intent data insights, resulting in a more accurate and trustworthy deliverable.
4Deliver · Step 4 of 4
Open task pageCribl Insights Monitoring
Package the finalized performance report and monitoring dashboards via Cribl.Cloud for distribution to stakeholders and integration into existing systems.
Why this matters
Cribl.Cloud enables seamless delivery and visualization of monitoring outputs, turning raw results into an accessible, actionable format for end users.
What you get
A finalized, publishable performance monitoring dashboard and report are delivered, ready for handoff or integration with operational tools.