Why Do Online Learning Platforms Crash During Exams?

WHY DO ONLINE LEARNING PLATFORMS CRASH DURING EXAMS?

Jamieson Lee Hill • 17 September 2026

A History of Online Learning & The Infrastructure Every EdTech Platform Needs

By Jamieson Lee Hill, Resident Blogger for data centre colocation in Gaming, EdTech and FinTech.

Summary

Introduction
Jisc Research into UK Students’ Digital Learning Experience
The History and Evolution of Online Education
What Happens During Peak Exam Demand
Common Infrastructure Issues That Crash Learning Platforms
Why Traffic Spikes Cause Problems
Why Video Creates Heavy Infrastructure Demands
Doping Hafiza: Infrastructure Built for Demand
Why Online Assessments Cannot Afford Downtime
How Authentication Becomes a Bottleneck
How Growing Data Demand Affects Infrastructure
Why EdTech Scalability Must Be Planned
How Infrastructure Affects Student Experience
How IP House Can Help with Colocation
What Colocation Means for Education Providers
Key Takeaways
Frequently Asked Questions

Introduction

Online education has made learning more flexible over the decades and the opportunity to study is far greater today. Amazingly, online education began in 1960 as we shall discover.

This article reveals that online learning has made universities, colleges, schools and private learning institutions more dependent on digital infrastructure than ever before.

We will explore why online learning platforms crash during exams and what the solutions are, including resilient infrastructure by outsourcing to a colocation data centre.

Research into Students’ Experience with Online Learning in the UK 2024/5

Jisc is a digital experience insights survey organisation that carries out research for educational institutions interviewing staff and students. They were commissioned to do a survey in 2024 and 2025 involving 15,398 higher-education students across 30 UK providers (24 universities and 6 colleges offering H.E. degrees).

It found that 84% of students rated their digital learning experience positively, while many continued to identify reliable systems and platform improvements as priorities. These were some of the key feedback points:

“ 86% rated the digital learning environment as above average

77% rated the support for learning using digital technology as above average
34% said they used AI in their learning
72% had taught classes mainly on campus
37% offered opportunities to develop digital skills for future employment
60% had problems with Wi-Fi connectivity.
37% lacked a suitable device for learning.”

Source: Jisc, 2024/25

Before we examine why online learning platforms crash especially during exams, let’s go back in time to examine the evolution of digital education.

The History of Online Education

Online education began in 1960 with the University of Illinois’s creation of PLATO (aka the Programmed Logic for Automatic Teaching Operations). PLATO was a mainframe-based network that pioneered early touchscreens, automated grading, and text-based student discussion forums on its computer system.

Jump forward into the 1980s, technology advanced with educational institutions beginning to bypass physical mainframes by using dial-up telephone modems. With telephone modems the educational organisations could connect students to closed consumer networks like CompuServe where they could download information and data.

This new technology in the 1980s allowed pioneering institutions like The New School in New York City in 1985 and the University of Phoenix in 1989 to launch some of the earliest fully online, text-based collegiate courses and degree programmes.

This all occurred long before the World Wide Web and modern web browsers became widely accessible to the public in the 1990s.

The Beginning of the World Wide Web, 1991

The World Wide Web (WWW) launched to the public on August 6, 1991. It was the brainchild of inventor Tim Berners-Lee who published the world's first website and then gifted the WWW to the world. This iconic development allowed digital education to use visual webpages as the technology shifted from text-heavy commands to graphical browsers.

During this era, we saw the first accredited online school in 1994 called CompuHigh. Also, came the advent of Learning Management Systems (LMS) and Blackboard (1997) that enabled schools with a blueprint to host digital classrooms.

Rise of the MOOCs and the Pandemic

Online learning scaled significantly in 2012 with the rise of the Massive Open Online Courses aka MOOCS. This was driven by smartphones, video streaming, cloud computing among other factors. Edutech Platforms like Coursera were set to open university classrooms to millions of remote users worldwide.

During the pandemic, this new digital infrastructure became the new normal and absolute necessity as people faced lockdowns as unis, colleges and schools closed. Online and hybrid software educational platforms suddenly became the new permanent pillars of modern education.

A new paradigm in online education was established…

Why Online Learning Platforms Crash

Having had a nostalgic trip down memory lane about the evolution of online learning, let’s now examine some of the reasons why online learning platforms crash.

What Happens During Peak Exam Demand?

Revision periods, coursework deadlines, results days and online exams can concentrate thousands of actions into extremely short periods. This can overload online learning platforms and cause the system to crash during exams and other busy times of the academic year. It is these sudden surges in concurrent user traffic that may overwhelm server capacity and database limits.

As a former college curriculum manager, the implications of a crash during an online exam can be nightmarish. It may mean the whole exam needs to be rescheduled, and the co-ordination of students, staff, classroom booking and the exam board.

As an educator who has used digital technology since 1999, reliable infrastructure is imperative for online learning. I have witnessed the evolution of technology from the early days of OHP projectors to the current world of AI. It has been an epic journey so far.

Common Infrastructure Issues That Crash Online Learning Platforms

Here are some of the main infrastructure pressures that can make online learning platforms crash:

Traffic Spikes: Thousands of students logging in at the same time for exams can overwhelm servers, databases and network capacity.

Video Demand: Live classes, recorded lectures and video proctoring can consume huge amounts of bandwidth during busy periods. (Video proctoring is the use of a microphone and webcam to monitor students taking exams remotely to make sure they don’t cheat).

Assessment Demand: With online exams, simultaneous question loads, autosaves and exam submissions can place intense pressure on databases and servers causing them to crash.

Authentication Bottlenecks: Thousands of students attempting to log in at once during the exam period can overwhelm identity, MFA and single sign-on systems.

Growing Data Demand: Coursework, videos, student records and assessment data all require storage that can remain fast and reliable under heavy load usage.

Poor Scalability: This is a key problem when infrastructure has been designed around average loads rather than peak demand. This may lead to system failure when student activity spikes, especially during exams.

Let us now dig deeper into these problem areas to understand why infrastructure crashes occur.

Why Traffic Spikes Cause Problems

As an educational technology platform, the average daily traffic can create a misleading picture of how much infrastructure you actually need. For example, 20,000 users using the platform across 24 hours is very different from several thousand students logging in during the same 10-minute window.

Sudden spikes in usage can put pressure on several parts of the infrastructure simultaneously. CPU and memory usage increases, database connections multiply, APIs receive more requests and network bandwidth is consumed much faster.

An API (aka Application Programming Interface) enables different software systems on an EdTech platform to communicate and exchange data automatically.

If any one of these reaches its limit, students may experience slow loading, failed submissions or complete service outages.

Using load balancing, it is possible to distribute demand across multiple servers and autoscaling can add computing resources as your traffic increases. Importantly, these systems need to be configured and tested properly to prevent a single point of failure with your single database, authentication service or network connection.

This can occur even when other parts of the platform can scale and cope with the spike in usage. AWS guidance on burst traffic specifically highlights the need to consider scaling across networking, computing and storage rather than treating server capacity as an isolated issue.

Video Creates Heavy Infrastructure Demands

Modern online learning is very much video based. I remember being a college lecturer back in the period 2001 to 2004 at Somerset College of Arts and Technology , when the early use of Virtual Learning Environments, aka VLEs, began.

Personally, I am a big fan of EduTech platforms; my favourite being Coursera. I have also used Google Digital Garage (now part of Google Skillshop), Udemy, edX and Skillshare. The opportunity to study online is now immense, but that experience needs resilient infrastructure to ensure a positive learning experience.

Recorded lectures, tutorials, demonstrations, live classes and video proctoring all need a lot more bandwidth than your standard text-based learning materials. When thousands of students try to access video content at the same time, the infrastructure requires a huge amount of data.

But at the same time, the infrastructure needs to prevent delays elsewhere on the educational platform for the institution. That means if the same core servers are responsible for videos, student logins, learning resources, assessment and exams, the performance of the platform can seriously deteriorate with a high number of users concurrently online.

A Content Delivery Network (CDN) is an effective way to reduce the pressure on your infrastructure. It distributes cached content from multiple locations, instead of every request having to return to the main server.

‘Adaptive bitrate streaming’ can also be used to change the video quality according to the user's available connection and bandwidth.

Scalable video infrastructure can combine object storage, video transcoding, caching and CDN delivery. This separates bandwidth-heavy video delivery from other critical learning systems.

A great case study example of scalable infrastructure is the Turkish EdTech company Doping Hafiza that employed the use of cloud infrastructure during the pandemic for online learning.

Using cloud infrastructure and Amazon CloudFront, they were and are able to deliver educational content to large numbers of students preparing for exams.

Let’s find out more…

Case Study: Doping Hafiza, Infrastructure Built for Demand

Turkish EdTech provider Doping Hafiza experienced availability and latency problems as demand for its video-based learning services grew during the global pandemic.

Working with AWS Partner Sufle, it migrated its fragmented infrastructure to AWS and adopted Amazon CloudFront for content delivery.

The results clearly show how choosing the right infrastructure can enhance an online learning platform:

They enjoyed 5× faster content delivery.
They benefited from 30% lower processing, storage and delivery costs.
95% less time and effort needed to access storage.
Zero interruptions or downtime during the first six months.
Scalable content delivery to millions of learners through Amazon CloudFront.

The lesson learned from this case study is that infrastructure should be designed around demand, resilience and scalability. Depending on the needs of your organisation you use a hybrid combination of colocation data centre services and public cloud infrastructure to meet the needs of your online learning environment.

For EdTech providers, greater control over physical infrastructure, predictable costs, private connectivity and infrastructure reliability are all essential parts of their online architecture.

Assessments Cannot Afford Downtime

Lagging for a few seconds while you are playing a video game may be acceptable, unless you’re an esports professional. But if an exam platform fails during a timed assessment, the consequences are far more serious.

To break it down, online assessments depend on several systems working together. First of all, questions must load correctly, then the candidate’s answers need to autosave, the timers must remain accurate and thousands of submissions of data may need to happen in a short period of time. It is absolutely vital that exam result data stay accurate during the exam process.

The long and the short of it is that assessment platforms are critical infrastructure for exam time and the logistics of rerunning exams if the system fails can be a big headache. An assessment outage can be highly disruptive to exam time and repeated failure is likely to have reputational damage for the educational organisation.

To summarise, educational assessment systems need sufficient capacity for simultaneous submissions, reliable databases, regular backups and recovery procedures to restore services quickly in the event of a fault.

Authentication Becomes a Bottleneck

A learning platform can fail on exam day if thousands of students try to log in within minutes of an exam opening. The student request could go through the following steps in the system:

Student: login system: identity provider: MFA/SSO: application: database

Every step of the above process must be able to cope with peak demand. If an identity provider, single sign-on service or database cannot process requests quickly enough, students may see login errors or timeouts even though the main learning platform is operating normally.

Therefore, as an educational provider you need to consider authentication capacity as part of your wider infrastructure planning.

Security is obviously critical for assessments and student data, but resilience and availability to cope with large numbers of students is also essential.

Data Demand Keeps Growing

Online education generates a colossal amount of data. Universities, colleges, schools and EdTech platforms store recorded text and video lectures, coursework, exam results, student records, multimedia resources, system logs and a multitude of backups.

That means it is not enough to just have the storage space for your data. You also need the infrastructure to be able to retrieve and process information rapidly when demand spikes. Thousands of students accessing files or assessment records simultaneously can place considerable pressure on storage systems and databases, leading to a crash in the system.

Object storage can provide scalable capacity for large volumes of learning content, while database optimisation can improve access to frequently requested information.

Replication can create additional copies of important data and services which in turn reduces dependence on a single system.

Backups and disaster recovery are essential for an online educational platform. Data must be backed up and critical systems and data must be quickly restored in the event of a failure.

However, backups alone are not enough. EdTech providers need clearly defined Recovery Time Objectives (RTOs) and Recovery Point Objectives (RPOs) to determine how quickly services must be restored and how much data can be lost after an outage.

In our last two articles on outages in banks, we examined RTOs and RPOs and how rapid recovery is vital to protect data in your organisation.

Scalability Must Be Planned

Educational organisations know their examination periods, coursework deadlines and results dates months in advance, so they can plan for peak exam traffic. EdTech businesses should know when major courses, assessments and revision periods are likely to lead to a surge in demand. The opportunity to scale in advance is there for the taking.

‘Capacity forecasting’ is able to estimate likely peak demand and ‘load and stress testing’ is about showing how infrastructure behaves as concurrent users increase. Testing should include servers, databases, authentication systems, APIs, network connections and storage rather than concentrating on a single component.

‘Autoscaling and load balancing’ make it possible to add additional capacity when required, i.e. during exam times and other busy parts of the academic year.

Geographic redundancy and failover systems can keep critical services available if part of the infrastructure fails. Geographic redundancy keeps backup infrastructure in different locations, while failover systems switch services to that infrastructure when the primary system fails.

Google Cloud uses multi-region replication approaches that can allow data to be served from another region during a regional outage.

Real-time monitoring is really important. Technical teams like IP House need to identify unusual demand and emerging bottlenecks before they lead to outages and online exam crashes. Discover your maximum capacity before the start of the academic year and not during the exam period.

Infrastructure Affects Student Experience

We read earlier that the digital insights experience research firm Jisc found that 60% of surveyed higher education students experienced Wi-Fi connectivity problems. Likewise, the same students surveyed also identified upgrading platforms and systems as an important area of improvement.

Education providers cannot control every student's home broadband connection bandwidth or quality of their personal device. What they can control is the resilience, capacity and performance of the infrastructure delivering their own digital services.

Fast access to learning materials, reliable assessment platforms and dependable authentication all contribute to the student experience.

Infrastructure resilience is an imperative educational and business continuity issue which you have to plan ahead for. Systems crashing during exams and other busy periods can be a logistical and administrative nightmare and potentially damaging to your institution’s reputation.

How IP House Can Help With Colocation Services

What Is Colocation?

Colocation means housing your organisation's own servers in a professional data centre rather than building and maintaining your own onsite infrastructure, which is both costly and time-consuming.

Storing your data and software in colocation servers means you retain control of your hardware. As a data centre, IP House provides the physical space, power, cooling, connectivity and security needed to operate it reliably. The advantages of working with IP House include:

Dedicated Hardware: Your organisation controls its own server resources rather than relying entirely on shared computing capacity.
High-Capacity Connectivity: IP House supplies high-speed network connectivity that is capable of supporting demanding digital workloads such as exam periods.
Resilient Power and Cooling: IP House also has backup power and specialist cooling to reduce the risk of infrastructure failure caused by problems with the physical environment.
Greater Control: Our technical team retains control over server specifications and can plan upgrades around expected future workloads. This makes scalability both flexible and cost effective for your educational institution.

Colocation alone cannot guarantee that an online learning platform will never experience an outage. But working with IP House means we can supply your online educational platform with a strong physical infrastructure for greater control, resilience and scalability.

Planning an Infrastructure Upgrade?

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How many students take your exams at once?
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We can help you estimate the server power and bandwidth you need and tell you more about IP House Data Centre's colocation services for education.

Key Takeaways

Online learning platforms often crash when thousands of students access systems simultaneously during exams and deadlines.
Video, assessments, authentication and database requests can create several infrastructure bottlenecks at once.
Capacity planning, load testing, redundancy, monitoring and disaster recovery can reduce the risk of outages.
Cloud, colocation and hybrid infrastructure can provide the scalability and resilience required during peak demand.
Education providers should test infrastructure against peak demand, not average traffic.

Frequently Asked Questions

Why do learning platforms crash?

Traffic spikes can overwhelm servers, databases and network capacity when thousands of students connect simultaneously.

How can EdTech handle traffic spikes?

Use load balancing, autoscaling, CDNs and sufficient server capacity, backed by regular load testing.

Why are online assessments vulnerable?

Simultaneous logins, autosaves, question requests and submissions can place intense pressure on infrastructure.

How does a CDN help?

A CDN distributes content across multiple servers, reducing pressure on the main platform and improving delivery speeds.

What infrastructure does EdTech need?

EdTech needs scalable, resilient infrastructure with sufficient compute, storage, bandwidth, redundancy and disaster recovery.

Technical review: This article has been checked for technical accuracy by the IP House technical team.

About the Author

Jamieson Lee Hill has been IP House’s resident blogger since 2022, writing about data centre colocation across its core Gaming, EdTech and FinTech sectors. While not a data centre technician, his role is to research complex colocation and digital infrastructure topics and explain them clearly to non-technical readers.

A certified college lecturer and teacher with 27 years of experience, Jamieson holds a DMS in Business Management, Certificate in Education and Cambridge DELTA, alongside 11 DigitalMarketer certifications, including SEO. He also undertakes professional development in cybersecurity, workplace AI, EEAT, AIO and AEO, and has certifications in video game design and storywriting.

Jamieson has run UK limited companies since 2012 and he has written educational books for RET International and Ixion College, including a 600+ page Diploma course book. He has also been editor for 3 books: The Adventures of Tom Sharpe books 1 and 2 by Peter Drinkwater and Life’s A Game by Mev Dinc.

A former teacher trainer and curriculum manager, he has designed courses for organisations including Sainsbury’s, Poundland, Swissport, Staffline and UK colleges. Since 2017, he has also taught and developed curricula for More Than English Summer School in Business Studies, Global Leadership, Creative Writing and University Preparation.