Available Monitor Modes

Choose the right monitoring approach for your data quality needs - automated scheduled monitoring or manual on-demand testing.

Decube offers two monitoring modes to match different operational requirements and user preferences. Choose the mode that best fits your data quality workflow.

Monitor Mode Comparison

Feature	Scheduled	On-Demand
Automation	Fully automated	Manual execution
Best For	Production monitoring	Ad-hoc validation
Alerting	Continuous alerts	Run-time notifications
Use Case	SLA monitoring	Data investigation
Setup Effort	Higher (scheduling)	Lower (simple setup)

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Scheduled Monitoring ⏰

Recommended for: Production environments, SLA monitoring, continuous data quality assurance

Scheduled monitoring runs automatically at specified intervals, providing continuous oversight of your data quality without manual intervention.

Key Benefits

• 🔄 Automated Monitoring: Set it once, monitor continuously

• 📧 Proactive Alerts: Get notified immediately when issues occur

• 📊 Trend Analysis: Build historical patterns for better insights

• ⚡ Early Detection: Catch issues before they impact downstream systems

Ideal Use Cases

• Business-Critical Data: Tables feeding real-time dashboards

• SLA Compliance: Ensuring data delivery commitments

• Production Pipelines: Monitoring ETL job completion

• Regulatory Requirements: Continuous compliance monitoring

Supported Monitor Types

✅ All monitor types support scheduled mode:

• Freshness, Volume, Field Health, Custom SQL, Schema Drift, Job Failure

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On-Demand Monitoring 🎯

Recommended for: Data investigation, troubleshooting, development environments, manual validation

On-demand monitoring gives you complete control over when tests run, perfect for investigative work and manual validation scenarios.

Key Benefits

• 🎛️ Manual Control: Run tests exactly when needed

• 🔍 Investigation Focus: Test specific scenarios during troubleshooting

• 💡 Flexible Testing: Experiment with different thresholds

• 🚀 Immediate Results: Get instant feedback on data quality

Ideal Use Cases

• Data Investigation: Analyzing specific data quality issues

• Development Testing: Validating new data pipelines

• Threshold Tuning: Testing monitor sensitivity before scheduling

• Ad-hoc Validation: One-time data quality checks

Supported Monitor Types

⚠️ Note: Cardinality tests are not available in On-Demand mode

• ✅ Freshness, Volume, Field Health (excluding Cardinality), Custom SQL

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Choosing the Right Mode

Start with Scheduled If:

• You need continuous monitoring of business-critical data

• You want to ensure SLA compliance automatically

• You have established data quality requirements

• You need historical trend analysis

Start with On-Demand If:

• You're investigating specific data quality issues

• You're developing and testing new monitors

• You need flexible, manual control over testing

• You're working in development environments

Combined Approach 🎯

Many teams use both modes strategically:

1. Scheduled for production monitoring and critical SLAs

2. On-Demand for investigation, development, and threshold tuning

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Next Steps

Ready to set up monitoring? Choose your monitor type and mode:

Enable asset monitoring

Setup Guides by Monitor Type:

• Freshness & Volume Monitors

• Field Health Monitors

• Custom SQL Monitors