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Monitoring, Performance, and Scaling with MongoDB

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Course Overview

This course covers performance optimization, monitoring, and horizontal scaling for MongoDB deployments. Students will learn to identify and resolve performance bottlenecks using profiling and monitoring tools, implement efficient indexing strategies, ensure cluster reliability through proactive monitoring and issue remediation, and scale databases horizontally through sharding. The course emphasizes practical techniques for maintaining production database health and performance.

Course Format

The course is formatted into four lessons. It is recommended to go through the lessons in sequential order as the content and complexity builds as you progress. The lessons are formatted as slide decks with detailed instructor notes. They can be used as lectures during the semester, for asynchronous learning, and or/ as complementary material to self-paced learning on MongoDB University.

Skill Badges

Each lesson in this course corresponds to a Skill Badge. At the end of each lesson deck is a link to the Skill Check assessment. The Skill Check is a 10-question assessment that can be taken as many times as needed. Once passed, learners earn the corresponding Skill Badge, a free credential they can add to their resume and professional profiles.

Skill Badges validate competency in specific MongoDB topics and demonstrate commitment to professional development. We encourage both you and your students to earn these badges throughout the course.

Lesson Slides

  1. Sharding Strategies

  2. Performance Tools and Techniques

  3. Monitoring Tooling

  4. Cluster Reliability

The materials are freely available for non-commercial use and are licensed under Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.