MongoDB Performance Training

Optimize your MongoDB deployments with this focused 2-day training on performance tuning and scalability patterns. Learn advanced indexing strategies, query optimization, profiling tools, WiredTiger internals, and capacity planning for high-throughput workloads.

Training Details

Duration	2 days (16 hours)
Level	Advanced
Delivery	In-person, Live online, Hybrid
Certification	N/A

Who Is This For?

• Senior developers optimizing MongoDB query performance
• DBAs responsible for cluster capacity and throughput
• Architects designing scalable MongoDB architectures
• Performance engineers profiling database workloads

Learning Outcomes

After completing this training, participants will be able to:

• Design optimal index strategies for complex query patterns
• Analyze query plans using explain() and the profiler
• Tune WiredTiger cache and storage engine parameters
• Implement connection pooling and driver optimization
• Plan capacity based on workload characteristics
• Design sharding strategies for horizontal scalability

Detailed Agenda

Day 1: Query Optimization and Indexing

Module 1: Index Deep Dive

• B-tree internals and index structure
• Compound index field order optimization
• Covered queries and index-only scans
• Partial, sparse, and TTL indexes
• Hands-on: Optimize a workload from 100ms to 1ms queries

Module 2: Query Plan Analysis

• explain() output — queryPlanner, executionStats, allPlansExecution
• Index selection and plan cache
• Slow query log and profiler configuration
• Query shapes and plan cache management
• Hands-on: Profile a production-like workload

Module 3: Write Performance

• Write concern impact on throughput
• Bulk write operations and ordered vs unordered
• Schema design for write-heavy workloads
• WiredTiger journal and checkpoint tuning
• Hands-on: Optimize a write-intensive application

Day 2: Storage Engine and Scalability

Module 4: WiredTiger Internals

• Cache management and eviction
• Compression — snappy, zlib, zstd tradeoffs
• Checkpoint and journal configuration
• Concurrency control — document-level locking
• Hands-on: Tune WiredTiger for specific workload patterns

Module 5: Connection and Driver Tuning

• Connection pool sizing and management
• Read/write concern impact on latency
• Server selection and topology monitoring
• Retryable reads and writes
• Hands-on: Optimize driver configuration for throughput

Module 6: Capacity Planning and Scaling

• Workload characterization and benchmarking
• Hardware selection — CPU, RAM, disk IOPS
• Vertical vs horizontal scaling decisions
• Shard key selection for balanced distribution
• Hands-on: Capacity plan for a growing application

What's Included

• Access to hands-on lab environments with realistic datasets
• Course slides and reference materials
• Performance tuning checklists and runbooks
• Post-training email support (30 days)

Request This Training

Ready to bring MongoDB performance training to your team? [Contact me](/contact) to discuss dates, group size, and customization options.