Error Handling Philosophy: Fail Gracefully, Recover Quickly
Errors are inevitable. Networks fail. Disks fill up. Services crash. Users input garbage. The question isn’t whether your system will encounter errors — it’s how it will behave when it does. Good error handling is the difference between “the system recovered automatically” and “we lost customer data.” Fail Fast, Fail Loud Detect problems early and report them clearly: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 # ❌ Bad: Silent failure def process_order(order): try: result = payment_service.charge(order) except Exception: pass # Swallow error, pretend it worked return {"status": "ok"} # ✅ Good: Fail fast with clear error def process_order(order): if not order.items: raise ValidationError("Order must have at least one item") if order.total <= 0: raise ValidationError("Order total must be positive") result = payment_service.charge(order) # Let it fail if it fails return {"status": "ok", "charge_id": result.id} Silent failures are debugging nightmares. If something goes wrong, make it obvious. ...