This is an advanced course for operations staff and others interested in administering MongoDB deployments. It is a deeper dive into many of the topics of M102 and several additional subjects.
In this course, we will explore performance and monitoring with a detailed tutorial on using MongoDB Cloud Manager. You will learn the mechanics of MongoDB memory and disk usage and how to tune Linux for typical MongoDB workloads. We will look at preparing for disaster recovery under different requirements scenarios ranging from low tolerance for downtime and data loss to high tolerance for both. You will also learn best practices for doing rolling upgrades and other maintenance across replica sets. Finally, building on the introductory coverage of sharding in M102, we will cover sharding mechanics in detail and specific topics such as pre-splitting data and tag-based vs. hash-based sharding.
Throughout the course, we will spend considerable time on diagnostic concerns and debugging configuration and other issues in MongoDB deployments.
A Linux VM is distributed to students for this course. We strongly recommend that all students download and use this VM for course exercises. It is a 64-bit VM. Instructions for setting up the VM are provided in the first week.