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Metrics Reference

The Meraki Dashboard Exporter provides comprehensive metrics for monitoring your Cisco Meraki infrastructure. This section contains detailed documentation about all available metrics, their collection tiers, and usage examples.

Documentation Structure

  • Metrics Overview


    High-level overview of metric categories, collection tiers, and naming conventions

  • Complete Reference


    Detailed reference of every metric with descriptions, labels, and examples

Metric Categories

Organization Metrics

  • License usage and expiration
  • API usage statistics
  • Overall device and client counts
  • Bandwidth utilization

Device Metrics

  • Device status and uptime
  • Performance indicators
  • Configuration state

Network Health Metrics

  • Wireless connection statistics
  • Channel utilization
  • RF health indicators

Environmental Metrics (MT Sensors)

  • Temperature readings
  • Humidity levels
  • Door and motion sensors
  • Water detection

Alert Metrics

  • Active alerts by severity
  • Alert counts by type
  • Security events

Collection Tiers

The exporter uses a three-tier collection system:

Tier Interval Metrics Purpose
Fast 60 seconds Environmental sensors Real-time monitoring
Medium 5 minutes Device status, network health Operational monitoring
Slow 15 minutes Configuration, licenses Change detection

Getting Started

  1. Browse the Overview: Start with the overview to understand the metric structure
  2. Find Specific Metrics: Use the complete reference to find detailed information
  3. Use in Queries: See examples in our Integration & Dashboards guide

Prometheus Query Examples

# Device availability by organization
avg by (org_name) (meraki_device_up) * 100

# Top networks by client count
topk(5, sum by (network_name) (meraki_mr_clients_connected))

# Temperature sensors above threshold
meraki_mt_temperature_celsius > 30

Performance Tips

  • Use recording rules for frequently accessed metrics
  • Filter by organization or network early in queries
  • Consider metric cardinality when using high-cardinality labels