> For the complete documentation index, see [llms.txt](https://docs.pandastack.io/v1/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pandastack.io/v1/getting-started/monitoring.md).

# Monitoring

PandaStack provides comprehensive monitoring capabilities to track the health and performance of your applications.

## Features

### Status Monitoring

1. Uptime Tracking
   * Real-time status monitoring
   * Historical uptime percentage
   * Status change tracking
   * Trend analysis
2. Status Types
   * UP: Service is running normally
   * DOWN: Service is experiencing issues
   * PAUSED: Monitoring temporarily suspended
   * UNKNOWN: Status cannot be determined

### Time Range Analysis

Monitor your applications across different time periods:

* 1 hour (1h)
* 6 hours (6h)
* 24 hours (24h)
* 7 days (7d)
* 30 days (30d)

### Heartbeat Monitoring

1. Health Checks
   * Regular status checks
   * Response time monitoring
   * Status message tracking
   * Failure detection
2. Status Messages
   * Detailed status information
   * Error messages
   * Performance metrics
   * Response details

## Dashboard

### Overview Statistics

1. Uptime Statistics
   * Current uptime percentage
   * Historical comparison
   * Trend indicators
   * Change percentage
2. Downtime Tracking
   * Number of down services
   * Downtime duration
   * Trend analysis
   * Impact assessment
3. Paused Monitors
   * Number of paused monitors
   * Pause duration
   * Scheduled maintenance
   * Temporary suspensions

### Monitor List

1. Monitor Information
   * Monitor name
   * Current status
   * Last check time
   * Status message
2. Status Indicators
   * Visual status icons
   * Color-coded status
   * Trend indicators
   * Quick status overview

## Monitor Management

### Create Monitor

1. Basic Configuration
   * Monitor name
   * Target URL/endpoint
   * Check frequency
   * Timeout settings
2. Advanced Settings
   * Custom headers
   * Authentication
   * Follow redirects
   * SSL verification

### Monitor Actions

1. Status Control
   * Pause monitoring
   * Resume monitoring
   * Force check
   * Delete monitor
2. Configuration
   * Edit settings
   * Update frequency
   * Modify endpoints
   * Adjust timeouts

## Notifications

### Alert Types

* Status changes
* Downtime alerts
* Recovery notifications
* Performance warnings

### Notification Channels

* Email alerts
* Webhook notifications
* Integration with external systems
* Custom notifications

## Best Practices

### 1. Monitor Configuration

* Set appropriate check intervals
* Configure realistic timeouts
* Use meaningful names
* Set proper thresholds

### 2. Status Management

* Regular status review
* Prompt issue investigation
* Proper maintenance scheduling
* Documentation of incidents

### 3. Performance

* Monitor response times
* Track error rates
* Analyze trends
* Set performance baselines

### 4. Maintenance

* Schedule maintenance windows
* Document pause reasons
* Regular configuration review
* Update monitoring settings

## Troubleshooting

### 1. False Positives

* Verify timeout settings
* Check network connectivity
* Review SSL certificates
* Validate endpoints

### 2. Missing Data

* Check monitor status
* Verify API access
* Review permissions
* Check integration status

### 3. Performance Issues

* Analyze response times
* Check resource usage
* Review error logs
* Monitor trends

## Integration

### 1. External Systems

* Webhook integration
* API access
* Third-party tools
* Custom integrations

### 2. Notification Systems

* Email integration
* Slack notifications
* Custom webhooks
* Alert aggregation

## Security

### 1. Access Control

* Role-based access
* Authentication
* Audit logging
* Permission management

### 2. Data Protection

* Secure storage
* Encrypted communication
* Data retention
* Privacy compliance

## Analytics

### 1. Performance Metrics

* Response times
* Error rates
* Availability percentage
* Resource usage

### 2. Trend Analysis

* Historical data
* Pattern recognition
* Predictive insights
* Performance forecasting

### 3. Reporting

* Custom reports
* Scheduled exports
* Data visualization
* Metric aggregation


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.pandastack.io/v1/getting-started/monitoring.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.