CASE STUDY
7 Types of Critical Bugs That Frequently Cripple Enterprise Systems
A comparison of manual vs automated debugging workflows and 7 systematic steps for enterprise production incident mitigation.
AuthorZELLIO QA Team
PublishedAgustus 05, 2026
Duration6 Min Read

Core Tech Stack
SentryJestCypressGrafana
Covered Topics
#Debugging#QA#Enterprise Architecture
Manual vs Automated: Two Very Different Debugging Approaches
🔍 Manual Debugging
- Reading server logs one by one
- Detection time: 2-6 hours after incident
- Inconsistent documentation
- Dependent on a single senior person
⚡ Automated Debugging (Sentry + Grafana)
- Real-time error notifications to Slack/email
- Detection time: < 60 seconds
- Stack trace automatically stored
- Anyone on the team can respond
7 Types of Critical Bugs We Encounter Most Often
- ①Race Condition on Financial Transactions: Two checkout requests arriving at the same millisecond result in duplicate orders or double stock deductions that ruin inventory accuracy.
- ②Memory Leak in Node.js Server: Database connections or event listeners never disposed, causing server RAM usage to creep upward until the server finally crashes after several days of operation.
- ③Unhandled Promise Rejection: Async code without try-catch blocks causing silent errors not logged, yet leaving data in a half-saved, corrupt state.
- ④N+1 Query Problem: A product listing page running 1 main query + 1 extra query per product. With 100 products, this becomes 101 database queries every time the page loads.
- ⑤Null Pointer Exception from External API: Code assumes the API always returns complete data. When a field is missing (null), the app throws an error and crashes directly in production.
- ⑥CSRF & XSS Vulnerabilities: Forms without CSRF tokens are vulnerable to cross-site attacks. Unsanitized HTML output opens gaps for malicious script injection into users' browsers.
- ⑦Circular Dependency Import: Module A imports Module B, and Module B imports Module A. In TypeScript, this often goes undetected during development but causes mysterious undefined errors in production.