Meraki Dashboard Exporter

A Prometheus exporter for Cisco Meraki Dashboard API metrics with OpenTelemetry support.

Features

• Collects metrics from all Meraki device types (MS, MR, MV, MT, MX, MG)
• Organization-level metrics (API usage, licenses, device counts)
• Device-specific metrics (status, performance, sensor readings)
• Async collection for improved performance
• Dual metric export: Prometheus /metrics endpoint + automatic OpenTelemetry export
• Distributed tracing: Full request tracing with OpenTelemetry instrumentation
• Structured logging with JSON output and trace correlation
• Docker support with health checks
• Configurable collection intervals

Quick Start

Using Docker

1. Copy .env.example to .env and add your Meraki API key:

   cp .env.example .env
   # Edit .env and set: MERAKI_EXPORTER_MERAKI__API_KEY=your_api_key_here
   

2. Run with Docker Compose:

   docker-compose up -d
   

3. Access metrics at http://localhost:9099/metrics

Using Python

1. Install dependencies:

   uv pip install -e .
   

2. Set environment variables:

   export MERAKI_EXPORTER_MERAKI__API_KEY=your_api_key_here
   

3. Run the exporter:

   python -m meraki_dashboard_exporter
   

OpenTelemetry Support

The exporter provides comprehensive OpenTelemetry support when enabled:

Metrics: All Prometheus metrics are automatically mirrored to OTEL

• Use existing Prometheus dashboards while sending to OTEL backends
• No code changes needed - new metrics are automatically exported

Tracing: Distributed tracing for all operations

• Every Meraki API call is traced with timing and metadata
• Automatic instrumentation of HTTP, threading, and logging
• Configurable sampling rates for production use
• Correlation with logs via trace IDs
• Automatic RED metrics from spans (Rate, Errors, Duration)

Logs: Structured logging with trace correlation

• Automatic trace context injection (trace_id, span_id)
• All logs include trace context when within a span
• Structured log fields preserved for easy parsing
• Compatible with log aggregation systems

Benefits:

• Full observability with metrics, traces, and logs
• Debug slow API calls and identify bottlenecks
• Track request flow across the entire system
• Compatible with Jaeger, Tempo, Datadog, New Relic, etc.

Enabling OpenTelemetry

Set these environment variables:

# Enable OTEL export
export MERAKI_EXPORTER_OTEL__ENABLED=true

# Set the OTEL collector endpoint
export MERAKI_EXPORTER_OTEL__ENDPOINT=http://localhost:4317

# Optional: Configure export interval (default: 60 seconds)
export MERAKI_EXPORTER_OTEL__EXPORT_INTERVAL=30

# Optional: Add resource attributes
export MERAKI_EXPORTER_OTEL__RESOURCE_ATTRIBUTES='{"environment":"production","region":"us-east"}'

# Optional: Configure trace sampling rate (default: 0.1 = 10%)
export MERAKI_EXPORTER_OTEL__SAMPLING_RATE=0.1

Docker Compose Example

services:
  meraki-exporter:
    image: meraki-dashboard-exporter
    environment:
      - MERAKI_EXPORTER_MERAKI__API_KEY=${MERAKI_EXPORTER_MERAKI__API_KEY}
      - MERAKI_EXPORTER_OTEL__ENABLED=true
      - MERAKI_EXPORTER_OTEL__ENDPOINT=http://otel-collector:4317
    ports:
      - "9099:9099"

  otel-collector:
    image: otel/opentelemetry-collector-contrib:latest
    command: ["--config=/etc/otel-collector-config.yaml"]
    volumes:
      - ./otel-collector-config.yaml:/etc/otel-collector-config.yaml
    ports:
      - "4317:4317"  # OTLP gRPC receiver

See OTEL.md for detailed OpenTelemetry configuration and TRACING.md for distributed tracing documentation.

Configuration

All configuration is done via environment variables. See .env.example for all available options.

Key Settings

Required

• MERAKI_EXPORTER_MERAKI__API_KEY: Your Meraki Dashboard API key

Optional

• MERAKI_EXPORTER_MERAKI__ORG_ID: Specific org ID to monitor (monitors all orgs if not set)
• MERAKI_EXPORTER_LOGGING__LEVEL: Logging level (default: INFO)
• MERAKI_EXPORTER_MERAKI__API_BASE_URL: API base URL for regional endpoints (default: https://api.meraki.com/api/v1)
• MERAKI_EXPORTER_API__TIMEOUT: API request timeout in seconds (default: 30)
• MERAKI_EXPORTER_API__MAX_RETRIES: Maximum API request retries (default: 4)

Update Intervals

• MERAKI_EXPORTER_UPDATE_INTERVALS__FAST: Fast tier interval in seconds (default: 60, range: 30-300)
• MERAKI_EXPORTER_UPDATE_INTERVALS__MEDIUM: Medium tier interval in seconds (default: 300, range: 300-1800)
• MERAKI_EXPORTER_UPDATE_INTERVALS__SLOW: Slow tier interval in seconds (default: 900, range: 600-3600)

Regional API Endpoints

For users in specific regions, use the appropriate API base URL:

• Global/Default: https://api.meraki.com/api/v1
• Canada: https://api.meraki.ca/api/v1
• China: https://api.meraki.cn/api/v1
• India: https://api.meraki.in/api/v1
• US Federal: https://api.gov-meraki.com/api/v1

Example:

export MERAKI_EXPORTER_MERAKI__API_BASE_URL="https://api.meraki.ca/api/v1"  # For Canada region

Metrics

Organization Metrics

• meraki_org_api_requests_total: Total API requests
• meraki_org_networks_total: Number of networks
• meraki_org_devices_total: Number of devices by type
• meraki_org_licenses_total: License counts by type and status
• meraki_org_clients_total: Total active clients (5-minute window)
• meraki_org_usage_total_kb: Total data usage in KB (5-minute window)
• meraki_org_usage_downstream_kb: Downstream data usage in KB (5-minute window)
• meraki_org_usage_upstream_kb: Upstream data usage in KB (5-minute window)

Device Metrics

• meraki_device_up: Device online status
• meraki_device_uptime_seconds: Device uptime

Switch (MS) Metrics

• meraki_ms_port_status: Port connection status
• meraki_ms_port_traffic_bytes: Port traffic counters
• meraki_ms_port_errors_total: Port error counters

Access Point (MR) Metrics

• meraki_mr_clients_connected: Connected client count
• meraki_ap_channel_utilization_*: Channel utilization metrics
• meraki_network_bluetooth_clients_total: Bluetooth clients detected by MR devices

Sensor (MT) Metrics

• meraki_mt_temperature_celsius: Temperature readings
• meraki_mt_humidity_percent: Humidity readings
• meraki_mt_door_status: Door sensor status
• meraki_mt_water_detected: Water detection status
• And more...

Alert Metrics

• meraki_alerts_active: Number of active alerts by type, category, severity, and device type
• meraki_alerts_total_by_severity: Total alerts grouped by severity level
• meraki_alerts_total_by_network: Total alerts per network

Configuration Metrics

• meraki_org_login_security_*: Various login security settings (see config collector for full list)
• meraki_org_configuration_changes_total: Total configuration changes in the last 24 hours

Observability Metrics (Auto-generated)

When OpenTelemetry tracing is enabled, these metrics are automatically generated from spans:

• meraki_span_requests_total: Request rate by operation, collector, endpoint, and status
• meraki_span_duration_seconds: Request duration histogram by operation
• meraki_span_errors_total: Error rate by operation, collector, endpoint, and error type
• meraki_sli_*: Service Level Indicator metrics for availability, latency, and error rates

Cardinality Monitoring

The exporter includes built-in cardinality monitoring to help track metric growth:

• meraki_metric_cardinality_total: Total unique label combinations per metric
• meraki_label_cardinality_total: Cardinality per label per metric
• meraki_cardinality_warnings_total: Warnings when metrics exceed thresholds
• meraki_total_series: Total time series count across all metrics

Access cardinality report at: /cardinality

Circuit Breaker Metrics

The exporter includes circuit breaker metrics for monitoring reliability:

• meraki_circuit_breaker_state: Current state of circuit breakers (closed/open/half_open)
• meraki_circuit_breaker_failures_total: Total failures handled by circuit breakers
• meraki_circuit_breaker_success_total: Successful calls through circuit breakers
• meraki_circuit_breaker_rejections_total: Calls rejected by open circuit breakers
• meraki_circuit_breaker_state_changes_total: State transitions tracked by from/to state

Development

Running Tests

uv run pytest

Linting and Type Checking

uv run ruff check .
uv run mypy .

License

MIT