WHY MOST SYSTEMS BREAK WHEN THEY SCALE (AND HOW TO FIX IT) Scaling works — until the database becomes the problem. More users, bigger datasets, and complex integrations start to strain the system. Performance drops, reporting slows down, and inconsistencies creep in. Sound familiar? WHAT GOES WRONG: → Databases grow beyond the original design. → Poor repository structure leads to lost changes. → Outdated versions cause integration failures. → Refactoring breaks dependent services. HOW WE FIXED IT: - Knowledge sharing: Developers and DBAs aligned through centralized documentation and real-time feedback. - Structured repositories: Every change tracked and versioned, making rollbacks easy and painless. - Continuous integration: Early conflict detection stops problems before they reach production. - Controlled refactoring: Managed updates prevent breaking downstream services. EXAMPLE: A financial services company fixed transaction mismatches by simulating the issue, identifying a schema error, and applying a quick migration fix. Growth brings pressure — how you handle change defines success. See how we scale systems without losing stability: https://lnkd.in/gSxnU9N9 #database #systemdesign #softwaredevelopment
