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High Performance with MongoDB

Best practices for performance tuning, scaling, and architecture

ABGHAK

Created by Alex Bevilacqua, Ger Hartnett, Asya Kamsky

Discover how to get the most out of MongoDB by focusing on performance, scalability, and robust architecture. Learn practical ways to optimize your database for speed and reliability in demanding environments. Gain the confidence to troubleshoot and scale your deployments effectively.

Packt | Sep 2025 | 410 min

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LevelIntermediate
CategoriesData Engineering, Statistical Analysis and Predictive Modeling, MERN

What You Will Learn

You will work through real-world scenarios that show how to identify and fix common performance issues in MongoDB. By applying best practices in schema design, indexing, and resource management, you'll learn to optimize both single-node and distributed setups. Step-by-step examples help you build skills that translate directly to production environments.

Key Features

  • Diagnose and resolve performance bottlenecks using proven optimization techniques
  • Design efficient schemas and indexes to improve throughput and resource use
  • Scale deployments with advanced replication, sharding, and cluster management

Target Audience

If you're a developer, database administrator, or system architect with a basic understanding of MongoDB, this content is designed for you. It's ideal if you want to optimize performance, manage large-scale deployments, or ensure your applications run smoothly under heavy load. You'll find actionable strategies whether you're maintaining existing systems or building new ones.

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