ILT Private: MDB200: MongoDB Optimization and Performance
Gain a solid foundation in indexing concepts and practical techniques, learn how to profile database operations to uncover performance issues, and explore how to analyze logs and metrics effectively. The course also introduces Atlas Search and Atlas Vector Search, enabling advanced text search and AI-powered semantic search use cases.
Training: MongoDB Optimization and Performance (MDB200)
Overview
On completion of this training day you will know how to index data and analyse index performance, identify slow operations using various methods, and leverage MongoDB Atlas solutions for advanced text search and Vector Search (AI) applications.
Agenda
Indexes and Optimization
- What are indexes?
- MongoDB Index misconceptions
- How indexes are chosen
- Query planner / Query optimizer
- Hints and tips
- Reading explain plans *
- Single field indexes
- Multikey indexes
- Compound index design *
- Covered queries
- Indexes and performance
- Limits
- Best practices
- Compression
- TTL indexes
Database Profiling
- Accessing the MongoDB logs
- Finding slow operations using the log
- Enabling the profiler
- Causes of slow operations
- MongoDB Atlas Metrics
Intro to Atlas Search and Vector Search
- Atlas Search
- Atlas Vector Search
End of day test
* includes hands-on exercise
Duration
1 day
Program Datasheets
Course prerequisites
This course has the following prerequisites:
- MDB100: MongoDB Database and Security
Language
This course is offered in multiple languages. Coordinate with your MongoDB representative to find out more.
Course access
This course is entirely virtual and will be conducted over Zoom video conferencing and Instruqt hands-on lab environments.