Reliability and Availability
In this skill badge, you'll learn how MongoDB is designed to keep critical applications running when failures occur. You'll examine how replica sets and automatic failover support continuous availability, and how deployment strategies such as availability zones, multi-region, and multi-cloud architectures influence business continuity, resilience, and cost tradeoffs at enterprise scale. By the end, you'll be able to explain how MongoDB's high-availability design supports mission-critical systems and evaluate which deployment strategy best aligns with an application's criticality, resilience requirements, and cost constraints.
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Upon completion of the Reliability and Availability skill and assessment, you will earn a Credly Badge that you are able to share with your network. |
Learning Objectives
Recognize Downtime as a Business Risk:
Explain why downtime is a business continuity issue, not just a technical one, and connect single-server architectures to extended recovery time, data loss risk, operational fragility, revenue impact, and customer trust.
Understand Built-In Replication and Automatic Failover:
Describe how MongoDB replica sets maintain multiple copies of data and how automatic failover detects failures and promotes a new primary in seconds without human intervention, reducing outage impact and supporting strong recovery targets.
Select the Right Distribution Strategy:
Evaluate availability zones, multi-region, and multi-cloud deployments to match your architecture to application criticality, business continuity requirements, and long-term operational confidence.
Who is this Course Good for?
If you are a technical or business decision-maker responsible for systems that cannot tolerate prolonged outages, the Reliability and Availability Skill Badge is designed for you. It is part of the Decision Maker skills portfolio and is aimed at leaders who need to understand how availability architecture affects business continuity, customer trust, and operational stability. You may be evaluating whether a single-server or manually recovered system can meet modern resilience expectations, or you may need a clearer way to explain why built-in redundancy and automatic failover reduce business risk.
What to Expect in this Course
The skill opens by framing downtime as a business continuity problem, not just a technical incident. Using RetailScreen Dynamics, a programmatic ad engine serving digital ads across more than 12,000 retail stores, the course shows what happens when a single RDBMS instance fails on Black Friday: revenue stops, recovery becomes manual, and trust erodes. You will examine what a traditional recovery workflow actually looks like, from alerting the DBA team and diagnosing the issue to restoring from backup or promoting a passive standby, verifying data integrity, and reconnecting applications.
From there, the course introduces MongoDB replica sets and automatic failover. You will learn how replication keeps multiple copies of data continuously in sync, how a new primary is elected in seconds without human intervention, and how that changes the business impact of failure.
The skill closes by expanding resilience beyond node-level failures. You will see how availability zone, multi-region, and multi-cloud deployments extend the same failover mechanism to absorb progressively larger outages, and how to choose the right level of protection based on application criticality and the cost of downtime.
Summary of the Course
- Explain why downtime is a business continuity risk, not just a technical inconvenience.
- Understand the limits of manual recovery models and the business consequences of extended RTO, data loss exposure, and operational fragility.
- Describe how MongoDB replica sets maintain multiple independent copies of data.
- Explain how automatic failover detects failures and promotes a new primary in seconds.
- Connect replica set design to lower RTO, near-zero RPO, and reduced dependence on human intervention.
- Understand how rolling upgrades and maintenance can be performed with minimal interruption.
- Compare availability zone, multi-region, and multi-cloud distribution strategies.
- Match the right resilience strategy to application criticality, operational requirements, and business continuity goals.
Aaron Becker | Technologist, Education
Aaron Becker is a Technical Trainer, Instructional Designer, and Training Manager who has worked in the tech sector for over 13 years. Before joining the Curriculum team at MongoDB, Aaron worked in DevOps at CircleCI, creating their first Certification course (CircleCI Associate Developer) and leading a team responsible for creating and managing the educational content for CircleCI Academy for external/customer training, as well as CircleCI University for internal team member training.
Prior to that, Aaron worked in data protection, redundancy, and security at Carbonite, where he headed up the Training team, created and delivered ILT training courses for Carbonite's Mid-Market and Enterprise level products, and assisted over 150 employees in earning Microsoft certifications.
Aaron enjoys writing, performing, recording, mixing and mastering music, playing video games, and writing biographical text in the third person
Daniel Curran | Senior Manager, Curriculum Designer
Daniel Curran is a Senior Manager, Curriculum Designer at MongoDB, where he designs hands-on learning experiences that help developers build practical MongoDB skills through labs, skill badges, and technical courses.
His recent work includes curriculum on memory for AI applications, building apps with code agents, and data resilience, with a focus on making complex topics clear, useful, and immediately applicable for learners.
Joel Lord | Lead Curriculum Engineer
Joel is a Lead Curriculum Engineer at MongoDB, focused on helping developers build better applications through accessible educational content. He started his career in software nearly 25 years ago and only paused briefly to pick up a B.Sc. in computational astrophysics from Université Laval. Since then, he’s worked across software development, developer advocacy, and technical education. Outside of work, he enjoys stargazing, homebrewing, and providing emotional support to his two cats, who frequently make guest appearances on Zoom.
Sarah Evans | Senior Curriculum Engineer
Sarah Evans is a Senior Curriculum Engineer at MongoDB, where she designs and develops technical learning experiences for MongoDB University. With a background that bridges curriculum design and hands-on technical expertise, she specializes in translating complex database and data modeling concepts into clear, accessible content for developers and technology professionals. Sarah is passionate about practical, engaging technical education and brings a deep interest in AI-driven development to her work helping learners navigate the intersection of modern databases and intelligent application design.
Every minute a mission-critical application is down, your business is losing revenue and customer trust. It's easy to treat a database outage as a technical problem that the engineering team will sort out. But downtime is really a business continuity issue, and the architecture decisions your team makes today will determine how fast you recover when things go wrong.
My name is Aaron, and I'm a Curriculum Engineer at MongoDB. In this skill for Reliability and Availability with MongoDB, we're going to look at why modern businesses can't afford architectures that concentrate all their risk in one place — and what it looks like to build a platform that keeps running, even when things go wrong. You'll see how moving beyond single-server architectures lets you replace operational fragility with genuine, automated resilience.
We'll start in the middle of a Black Friday crisis. RetailScreen Dynamics powers digital ad screens across 12,000 retail stores. Their programmatic ad engine runs on a single RDBMS instance and when that server fails, everything goes with it.
We'll trace exactly what a manual recovery looks like in this scenario: the steps, the dependencies, and the unpredictable time it takes to get back online.
Along the way, we'll break down the three business risks that make manual recovery such a dangerous bet: extended Recovery Time Objective or RTO, Recovery Point Objective or RPO, and operational fragility - the recovery process depending entirely on human expertise, under time pressure, with real business consequences accumulating every minute.
Then we'll see how MongoDB eliminates these risks through built-in replication and automatic failover. You'll learn how replica sets maintain multiple independent copies of your data, how automatic failover promotes a new primary in seconds, and what that means for the same RetailScreen scenario.
Finally, you'll see how distributing replica set members across availability zones, regions, and cloud providers extends that same failover mechanism to absorb progressively larger failures. We’ll also cover how to match the right configuration to your business requirements.
By the end of this skill, you will understand how to evaluate your availability architecture against modern business continuity expectations and how MongoDB gives you the tools to make resilience a deliberate design choice rather than a reactive scramble after the fact.
Once you've learned this content, you'll be ready to apply your new skills by earning the Reliability and Availability with MongoDB skill badge. It's more than a digital credential you can share on LinkedIn. It's proof that you can evaluate availability architecture, connect infrastructure decisions to business outcomes, and make the case for continuous availability within your organization.
