MongoDB Monitoring & Analytics

Introduction to MongoDB Monitoring

Effective monitoring is crucial for maintaining MongoDB performance and reliability. This guide covers monitoring tools, key metrics, and best practices for database optimization.

Key Performance Metrics

System Metrics

  • CPU utilization
  • Memory usage
  • Disk I/O
  • Network traffic

Database Metrics

  • Query performance
  • Connection count
  • Operation latency
  • Cache hit ratio

Monitoring Tools

Built-in Tools

# Server Status
db.serverStatus()

# Current Operations
db.currentOp()

# Database Stats
db.stats()

# Collection Stats
db.collection.stats()

# Explain Query
db.collection.find().explain()

Monitoring Solutions

  • MongoDB Compass
  • MongoDB Ops Manager
  • MongoDB Cloud Manager
  • Third-party tools (Prometheus, Grafana)

Performance Analysis

Query Analysis

# Enable Profiling
db.setProfilingLevel(1, { slowms: 100 })

# View Profile Data
db.system.profile.find()

# Analyze Query Performance
db.collection.find().explain("executionStats")

# Index Usage
db.collection.aggregate([
    { $indexStats: {} }
])

Performance Metrics

  • Query execution time
  • Index usage statistics
  • Memory usage patterns
  • Connection pool status

Alerting & Notifications

Alert Configuration

# Set Up Alerts
db.adminCommand({
    setParameter: 1,
    slowms: 100,
    slowOpSampleRate: 0.5
})

# Configure Notifications
{
    "alerts": [
        {
            "metric": "opcounters",
            "threshold": 1000,
            "duration": "5m"
        },
        {
            "metric": "connections",
            "threshold": 100,
            "duration": "1m"
        }
    ]
}

Common Alert Types

  • High CPU usage
  • Memory pressure
  • Slow queries
  • Connection spikes
  • Replication lag

Best Practices

Monitoring Strategy

  • Set up baseline metrics
  • Configure appropriate alerts
  • Regular performance reviews
  • Document monitoring procedures
  • Automate monitoring tasks

Performance Optimization

  • Regular index maintenance
  • Query optimization
  • Resource allocation
  • Capacity planning
  • Regular health checks

Next Steps

Now that you understand MongoDB monitoring, you can explore: