OA610: Benchmarking and Capacity Planning
Leverage an open-source tool to generate synthetic workloads, analyze their behavior through external observation and internal database metrics, and adjust your hardware configuration to evaluate its impact on performance.
Advanced Workshop: Benchmarking and Capacity Planning (OA610)
Overview
If you want to provision the right infrastructure for your MongoDB cluster to satisfy your production workload without over-paying for unnecessary resources, it’s essential to understand the implications of infrastructure changes for your workload and how to measure what components of your infrastructure are under-, over-, or right-sized.
In this training workshop, we use an open-source tool to create a number of synthetic workloads, observe their behavior both externally and using internal database metrics, and modify our hardware configuration to observe the impact on performance. In doing so, we learn best practices for MongoDB benchmarking and how to interpret the monitoring metrics in Atlas / Cloud Manager / Ops Manager correctly.
This training workshop will arm you with the skills to determine when adding CPU, RAM, or disk IOPS will be necessary to improve the performance of your workload, and whether you are spending too much on one thing or not enough on another.
Intended Audience
This training workshop is intended for operations professionals who have completed foundation training to at least MDB200 (Diagnostics and Performance Tuning) and want to be able to right-size their database infrastructure.
Workshop Objectives
In this training workshop, you will learn how to:
simulate client workloads using POCDriver, an open-source MongoDB workload generator
identify which resource is currently limiting performance
determine how the performance of common workloads relates to the number of available CPU cores
quantify the impact of too little RAM and estimate required RAM for your workload
identify when disk IOPS is a bottleneck and how many is enough
identify whether a bottleneck is in the database or elsewhere and avoid wasting time looking in the wrong place for a solution
Duration
1 day
Program Datasheets
Meetings
Course prerequisites
This course has the following prerequisites:
- MDB200: MongoDB Optimization and Performance
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.
View All Upcoming Public Training Sessions
You can browse all upcoming MongoDB Public Training Sessions sessions via the Instructor-Led Training Schedule.
How to Enroll in a Live Public Training Session
From the course page, select the preferred session from the dropdown menu on the right-hand toolbar.
- Once the preferred session is selected, click the “Register” button.
Note: The session title includes the language, time zone and date of the training.
How to Switch to a Different Session
If you’ve already enrolled but want to attend another session of the same course:
Go to your Learner Dashboard.
Locate the course under “In Progress” or “Events”.
Click the three dots to the right of the session title.
Select “Re-Enroll” and choose your new preferred session from the dropdown list.
How to Deregister from a Session
Currently, learners cannot self-unregister from a live session.
To cancel your enrollment, email training@mongodb.com and we will manually remove you.
Important Information
See the Learner Guide for more information.
By registering for a live training session, you confirm your intention to attend. If you miss a session without notifying us, you may be penalized and risk losing access to your training subscription.
This course is available through Private Training for customers with 7 or more Training Subscriptions.
Private Training allows you to select specific courses and deliver them to your team in a private classroom, scheduled at your convenience.
Please contact your Professional Services representative to discuss available dates for private training.
Important: Private sessions can only be arranged if 7 or more engineers commit to attending.
