# Enable asset monitoring Transform your data quality management with Decube's comprehensive monitoring system. This guide walks you through setting up, managing, and optimizing monitors for your critical data assets. ## Quick Start Checklist ✅ Before setting up monitors, ensure you have: * [ ] **Data source connected** and accessible * [ ] **Critical tables identified** for monitoring * [ ] **Alert channels configured** (email/Slack) in [Config Settings](https://docs.decube.io/data-quality/config-settings) **Time Investment:** 15-30 minutes for initial setup, 5 minutes per additional monitor *** ## Monitoring Management Hub Our Config module provides a centralized control center for all your data quality monitoring needs. {% hint style="info" %} **Recent Update:** Grouped-by monitors are now integrated within each test type setup flow. Schema Drift and Job Failure settings can be adjusted directly from the All Monitors page. {% endhint %} ### [All Monitors Tab](#all-monitors-tab) * Once you click on Config in Navigation bar, you will land on `All Monitors` tab: * Within the "All Monitors" tab, users have the capability to **edit**, **enable/disable**, or even **delete** any previously configured monitors. To access these options, simply click on the ellipsis menu (︙), located at the far right of the selected monitor.

* Once you click on ellipsis menu (︙), you will see 2 options View monitor and Monitor Info: * **View Monitor:** Once you click on view monitor, a form will pop-up which gives you option to modify, disable and delete monitor.

* **Monitor Info:** Once you click on Monitor Info, you’ll see 2 tabs `History` and `Performance`. * **History:** Displays the Timestamp and status for the running monitors. Status includes: * **Passed** - The test was executed and result was passed. * **Failed** - The test was executed and result was failed. * **Skipped** - The test was skipped as metrics were not able to be collected or the baseline threshold has not been established. * **Errored** - The test was unable to be executed. Please reach out to for support on this error.

* **Performance:** Displays the progress for the running monitor

### Create

Navigate to **Config > Create** to set up new monitors for your data assets. Choose from our comprehensive monitor types designed for different data quality requirements:

### Available Monitor Types **🔄** [**Freshness Monitoring**](https://docs.decube.io/data-quality/how-to-set-up-monitors/set-up-freshness-and-volume-monitors) * **Purpose**: Monitors data update intervals and detects stale data * **Best For**: Real-time dashboards, daily reports, SLA compliance * **Setup Time**: \~5 minutes

**📊** [**Volume Monitoring**](https://docs.decube.io/data-quality/how-to-set-up-monitors/set-up-freshness-and-volume-monitors) * **Purpose**: Tracks row count changes and detects data load anomalies * **Best For**: ETL validation, data pipeline monitoring * **Setup Time**: \~5 minutes **🔍** [**Field Health Testing**](https://docs.decube.io/data-quality/how-to-set-up-monitors/set-up-field-tests) * **Purpose**: Column-level validation (nulls, uniqueness, ranges, patterns) * **Best For**: Data integrity, compliance, ML data preparation * **Setup Time**: \~10 minutes per field **🔧** [**Custom SQL Monitoring**](https://docs.decube.io/data-quality/how-to-set-up-monitors/custom-sql-monitors) * **Purpose**: Advanced business rule validation with custom logic * **Best For**: Complex data relationships, business-specific requirements * **Setup Time**: \~15 minutes **⚙️ Auto-Enabled Monitors** * **Schema Drift**: Automatically monitors table structure changes * **Job Failure**: Auto-configured for ETL tools (dbt, Airflow, etc.) ### Getting Started Recommendations #### For Data Engineers 👨‍💻

When users navigate to our Config > Create tab, Here, users have the opportunity to create and manage different monitoring types. 1. **Start Here**: [Freshness & Volume](https://docs.decube.io/data-quality/how-to-set-up-monitors/set-up-freshness-and-volume-monitors) for critical tables 2. **Add Next**: [Custom SQL](https://docs.decube.io/data-quality/how-to-set-up-monitors/custom-sql-monitors) for business logic validation 3. **Advanced**: [Field Health](https://docs.decube.io/data-quality/how-to-set-up-monitors/set-up-field-tests) for pipeline data validation #### For Governance Teams 🛡️ 1. **Start Here**: Review auto-enabled Schema Drift monitoring 2. **Add Next**: [Field Health](https://docs.decube.io/data-quality/how-to-set-up-monitors/set-up-field-tests) for compliance requirements 3. **Advanced**: [Grouped-By](https://docs.decube.io/data-quality/how-to-set-up-monitors/set-up-grouped-by-monitors) monitoring for business segments #### For Platform Admins 👤 1. **Start Here**: Configure [Job Failure](https://docs.decube.io/data-quality/how-to-set-up-monitors/set-up-data-job-job-failure-monitors) for all ETL processes 2. **Add Next**: [Volume](https://docs.decube.io/data-quality/how-to-set-up-monitors/set-up-freshness-and-volume-monitors) for data load validation 3. **Advanced**: [Config Settings](https://docs.decube.io/data-quality/config-settings) for default monitoring behavior *** ## Monitor Status & Lifecycle Once monitoring is activated for an asset, you can track all monitor states: * **🟢 Active**: Monitor running on schedule with alerts enabled * **🟡 Inactive**: Monitor configured but temporarily disabled Access detailed monitor management through the [**All Monitors Tab**](#all-monitors-tab---your-control-center) for complete visibility and control. *** ## Next Steps 1. **✅ Choose your monitor type** from the options above 2. **⚙️ Configure alert channels** in [Config Settings](https://docs.decube.io/data-quality/config-settings) 3. **🎯 Set up your first monitor** using our step-by-step guides 4. **📊 Monitor performance** and adjust thresholds as needed **Need Help?** Contact for assistance with monitor setup and optimization.