MongoDB Performance
Made Simple
Detect slow queries in real-time, get intelligent index recommendations using the ESR rule, and monitor your entire cluster with comprehensive server metrics.
<100ms
Query Detection
ESR Rule
Index Optimization
24/7
Monitoring
Multi-Node
Replica Set Support
Everything you need to optimize MongoDB
From query analysis to server metrics, get complete visibility into your database performance.
Real-time Query Analysis
Monitor slow queries as they happen with configurable thresholds (slowMs) and intelligent sampling rates.
ESR Index Recommendations
Get optimal index suggestions using the Equality-Sort-Range rule and Mirror Rule for compound indexes.
Server Metrics
Track connections, memory usage, WiredTiger cache, and replication lag across all nodes.
Query Grouping
Automatically group similar queries by their shape to identify patterns and optimize hotspots.
Configuration Presets
Choose from development, production, or high-traffic presets, or create custom configurations.
Profiler Management
Automatically manage MongoDB profiler levels when pausing or resuming database monitoring.
See it in action
Get real-time insights into your MongoDB performance with our intuitive dashboard.
Connected Databases
3
Slow Queries (1h)
127
-15%Collection Scans
23
P95 Latency
45ms
-8msQuery Performance Over Time
Average latency by hour
Operations Distribution
Query types breakdown
Recent Slow Queries
3 issuesusers.find()
COLLSCANCreate index: { email: 1 }orders.aggregate()
In-memory sortCreate index: { userId: 1, createdAt: -1 }products.find()
Inefficient indexCreate compound index: { category: 1, price: 1 }Connections
Cache Hit Ratio
Memory Usage
Configuration presets for every environment
Start monitoring in seconds with optimized presets, or create custom configurations.
Development
Full profiling for local development
- Profile Level: 2 (all queries)
- Slow threshold: 50ms
- 100% sample rate
- All analysis features enabled
Production
Balanced monitoring for production
- Profile Level: 1 (slow queries)
- Slow threshold: 100ms
- 50% sample rate
- Server metrics enabled
High Traffic
Optimized for high-volume workloads
- Profile Level: 1 (slow queries)
- Slow threshold: 200ms
- 10% sample rate
- Query deduplication enabled
Minimal
Lowest overhead monitoring
- Profile Level: 1 (slow queries)
- Slow threshold: 500ms
- 5% sample rate
- Basic features only
Full control over your database monitoring
Pause and resume monitoring at any time. When you pause, the MongoDB profiler is automatically disabled to eliminate overhead. Resume to continue with your configured profiler settings.
- Automatic profiler management on pause/resume
- Profiler disabled before database deletion
- Zero overhead when monitoring is paused
- Settings preserved across pause/resume cycles
Production DB
mongodb-atlas-prod
Staging DB
mongodb-atlas-staging
Development DB
localhost:27017
Chat with AI about your slow queries
Ask questions about any slow query and get instant, context-aware recommendations. The AI understands your indexes, collection structure, and query patterns.
- Understands your schema, indexes, and query patterns
- Recommends optimal indexes using the ESR rule
- Explains why queries are slow in plain language
- Copy-paste ready createIndex() commands
This query is performing a COLLSCAN because there's no index covering the filter on status and sort on createdAt.
I recommend creating this compound index:
Your index { status: 1 } covers the equality filter but not the sort, causing an in-memory sort stage.
Start optimizing your MongoDB today
Join teams using MongoProfiler to identify performance bottlenecks and optimize their databases.