STATUS: OK
ARTICLE_DRAFT
99.9% uptime sounds good.
But the reality:
π it is not a guarantee β it is a tolerance threshold
1. Formula
Downtime = period Γ (1 - uptime)
2. Monthly Calculation
1 month = 43,200 min
99.9% β 43 min 99.99% β 4 min 99.999% β 26 sec
3. Critical Truth
each additional "9" β 10x improvement
4. Annual Impact
99% β 3.65 days 99.9% β 8.7 hours 99.99% β 52 min
5. What an SLA Is Not
- not a speed guarantee
- not a data guarantee
- not a performance guarantee
6. SLA Violation
result:
π service credit
but lost revenue does not come back
7. Benchmark
traffic: 10k/day revenue: 2,000βΊ/hour
99.9% β ~1,440βΊ loss 99.99% β ~140βΊ
8. Production
SaaS:
99.9% β serious risk 99.99% β low risk
9. SLA vs. Reality
SLA = promise uptime = measurement
10. Implementation
monitoring:
- 60 sec check
- alert
11. Checklist
- what percentage
- what is covered
- what is not covered
12. Trade-off
99.9% β cheap risk 99.99% β balanced 99.999% β expensive
13. Mistake
Trusting the SLA
CONCLUSION
SLA = downtime allowance
CTA
- measure uptime
- question your SLA
SOURCES
- Google SRE Book
- AWS SLA
- Azure SLA
SELF_CHECK
intentmatch: high numericcount: 8+ metriccount: 6+ implementationcount: 3 sourcescount: 3 benchmarkcontext: strong comparison_strength: strong