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Case Study #180 — 300 Software Failure Case Studies

Ticketmaster Taylor Swift 'Eras Tour' presale crash

Ticketmaster's site crashed repeatedly and left many fans stranded in hours-long queues during a presale for Taylor Swift's Eras Tour, forcing cancellation of the planned general public sale and triggering a US Department of Justice antitrust probe into Ticketmaster's parent company.

2022-11
When it happened
Retail / Entertainment
Sector
#180 of 300
Ranked by documented impact
01 — What Happened

The damage was public. The root cause was preventable.

Ticketmaster's site crashed repeatedly and left many fans stranded in hours-long queues during a presale for Taylor Swift's Eras Tour, forcing cancellation of the planned general public sale and triggering a US Department of Justice antitrust probe into Ticketmaster's parent company.

Retail
Sector affected
2022-11
Date of the event
#180
Rank in the 300 Software Failure Case Studies
2
Distinct root-cause clauses identified below
02 — The Root Cause

What the software actually got wrong

Ticketmaster's ticketing platform could not handle the unprecedented volume of simultaneous demand, and roughly 15% of site interactions failed outright, including some that caused fans to lose tickets they had already been queued for.

01Root Cause

Ticketmaster's ticketing platform could not handle the unprecedented volume...

What Happened

Ticketmaster's ticketing platform could not handle the unprecedented volume of simultaneous demand

How Requs AI Catches This

Requs AI Edge Case flags this exact pattern at the requirements and architecture stage — before a single line of code implementing it exists — so the assumption behind it gets challenged while it is still cheap to fix.

02Root Cause

Roughly 15% of site interactions failed outright, including some...

What Happened

roughly 15% of site interactions failed outright, including some that caused fans to lose tickets they had already been queued for

How Requs AI Catches This

Requs AI Software FMEA traces this failure mode back to the system-level hazard it feeds, tagging it against the Common Defect Enumeration so it surfaces in review instead of in the field.

03 — How This Gets Caught Before It Happens

Beyond code coverage and "shall" testing

Root causes like this one rarely show up in code coverage or requirements-compliance testing, because nobody wrote a requirement anticipating the specific edge case that broke. Requs AI Edge Case and Requs AI Software FMEA are built to surface exactly this class of overlooked failure mode — before the software is written.

Requs AI Edge Case

Surfaces this before code exists

Identifies edge cases like this one at requirements and architecture time, using the Common Defect Enumeration to catalog failure patterns seen across hundreds of real-world software failures — including this one.

Requs AI Software FMEA

Connects the failure mode to the hazard

Traces this class of root cause directly to the system-level hazard it can produce, so a defect pattern like this one gets flagged during design review instead of after it ships.

Find the overlooked root causes before they ship.

Schedule a demonstration, or explore how Requs AI Edge Case and Software FMEA use the Common Defect Enumeration.