Take a deep dive into maintaining and scaling production MongoDB deployments.
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 MMS. 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. 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. New MongoDB 2.6 features will be addressed throughout the course, including the new security features, which we will cover in the final week. This course will follow the same format of seven weeks with short lessons, quizzes, and homework assignments released each week.
M102: MongoDB for DBA's
Adam Comerford is currently a Senior Solutions Engineer at MongoDB, Inc. Before becoming a founding member of the Solutions Engineering team, he built the EMEA technical support organization from scratch and helped establish and ensure the success of the global MongoDB support organization. He has engaged the tech community by writing articles, speaking at events and answering questions on Stack Exchange and our own Google Groups. Adam is also the founder of the Dublin MongoDB User Group which now has over 400 members. Prior to joining MongoDB, he held various networking, operations and support positions at AOL and Citrix.
This class is free.
You will need access to a computer and YouTube. A recent Windows, Mac OS or Linux based machine will work fine.
You will get a statement of accomplishment from MongoDB, Inc.
The course is self-paced with weekly deadlines. The course will be broken down into short video segments with periodic assessments to check on your progress, weekly assignments and a final exam.
You will receive a final grade but the grade won't be on your certificate of completion. To receive a certificate of completion, you will need to achieve 65% on graded material. There are three different types of assessments within the course: quizzes, weekly assignments and a final exam/project. Quizzes don't count toward your grade. Quizzes are intended to help you check your own understanding. The weekly assignments will comprise one half of your grade and the final exam/project one half of your grade. Most assignments will be due on Tuesdays. Each week we will release new video lectures and a new assignments. Unfortunately, due to the large number of students and in the interest of fairness, late assignments cannot be accepted.
We will be providing online forums where students can help each other. In addition, the instructor(s), teaching assistants and other MongoDB employees will monitor the forums and try to help. Often the fastest answer comes from another student.
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