Modern QA2026The Cost of Production Failures
Log inJoin
🎯 Interview Q&AAIAPISQLPlaywrightSecurityPerformanceMobileAccessibilityCI/CDGitLinuxAgileStrategyCareer
1 / 2 · Book 6 · Why Testing Before Deployment Is Not Enough · drill: interview Q&A⊞ allnext →Get the book →

1.2The Cost of Production Failures

Before we discuss the solution, let us understand the cost of the problem. When a production issue occurs that pre-production testing did not catch:

Direct costs:

  • Revenue loss during the outage (for e-commerce, this can be thousands of dollars per minute)
  • Engineering time to diagnose and fix the issue
  • Customer support costs handling user complaints
  • Potential SLA violation penalties

Indirect costs:

  • User trust erosion (users who experience failures are less likely to return)
  • Brand reputation damage (especially if the outage makes social media or news)
  • Engineer morale impact (being woken at 3 AM to fix an issue that "should have been caught")
  • Opportunity cost (engineers fixing incidents are not building features)

Compounding costs:

  • Mean Time to Detection (MTTD): How long before anyone notices the problem?
  • Mean Time to Resolution (MTTR): How long before the problem is fixed?

Without observability, MTTD can be hours -- you find out about the problem when a customer complains. With observability, MTTD can be seconds -- automated monitoring detects the anomaly immediately.