👉 The real deciding factor: business continuity
1. How Much Does Downtime Really Cost You?
Numeric Example
- Monthly revenue: 300,000 TL
- Hourly revenue: ~416 TL
3 hours of downtime:
👉 1,248 TL in direct losses
Measurable Impact
- conversions drop (5–15%)
- SEO is affected
- trust is eroded
Source: https://aws.amazon.com/architecture/disaster-recovery/
2. The Reality of SLAs
| SLA | Annual Downtime |
|---|---|
| 99.9% | ~8 hours 45 min |
| 99.99% | ~52 min |
| 99.999% | ~5 min |
Benchmark
| System | Downtime |
|---|---|
| Shared | ~43 hours |
| VPS | ~8 hours |
| Multi-zone | <1 hour |
3. RTO / RPO
Example
- 100 orders per hour
- RPO = 30 min
👉 50 orders lost
4. Failover Scenario
Load Balancer:
health_check: 5s
fail_threshold: 3Result
| Metric | Before | After |
|---|---|---|
| Downtime | 45 min | 30 sec |
| Data loss | 10 min | <1 min |
5. Hosting Comparison
| Model | Risk |
|---|---|
| Shared | high |
| VPS | medium |
| HA Cloud | low |
6. Risks
- SLA doesn't compensate for losses
- backup ≠ HA
- if failover isn't tested, it won't work
Source: https://cloud.google.com/architecture/disaster-recovery
7. Decision Framework
✔ Look at what the SLA means in hours ✔ Ask about RTO / RPO ✔ Check whether failover exists ✔ Check whether multi-zone is available
Conclusion
Hosting = a risk management decision
CTA
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SELF_CHECK:
intentmatch: PASS numericcount: 3 metriccount: 5+ implementationcount: 2 sourcescount: 2 benchmarkcontext: PASS comparison_strength: HIGH