Chapter 22. Monitoring MongoDB
Before you deploy, it is important to set up some type of monitoring. Monitoring should allow you to track what your server is doing and alert you if something goes wrong. This chapter will cover:
How to track MongoDB’s memory usage
How to track application performance metrics
How to diagnose replication issues
We’ll use example graphs from MongoDB Ops Manager to demonstrate what to look for when monitoring (see installation instructions for Ops Manager). The monitoring capabilities of MongoDB Atlas (MongoDB’s cloud database service) are very similar. MongoDB also offers a free monitoring service that monitors standalones and replica sets. It keeps the monitoring data for 24 hours after it has been uploaded and provides coarse-grained statistics on operation execution times, memory usage, CPU usage, and operation counts.
If you do not want to use Ops Manager, Atlas, or MongoDB’s free monitoring service, please use some type of monitoring. It will help you detect potential issues before they cause problems and diagnose issues when they occur.
Monitoring Memory Usage
Accessing data in memory is fast, and accessing data on disk is slow. Unfortunately, memory is expensive (and disk is cheap), and typically MongoDB uses up memory before any other resource. This section covers how to monitor MongoDB’s interactions with the CPU, disk, and memory, and what to watch for.
Introduction to Computer Memory
Computers tend to have a small amount of fast-to-access memory and ...
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