slayer

Reliability Modeling & Probabilistic Risk Analysis

99.989%

Replicas

SYSTEM BOTTLENECK

Component Name

Criticality

Input Mode

SLA (%)

MTTR (min)

Replicas

99.999999%

Nodes UP

Failover %

Switch min

Replicas

Component Name

Criticality

Input Mode

SLA (%)

MTTR (min)

Replicas

Component Name

Criticality

Input Mode

SLA (%)

MTTR (min)

Replicas

99.999974%

Replicas

Component Name

Criticality

Input Mode

SLA (%)

MTTR (min)

Replicas

Min UP

Shared %

Component Name

Criticality

Input Mode

SLA (%)

MTTR (min)

Replicas

Min UP

Shared %

99.999975%

Nodes UP

Failover %

Switch min

Replicas

Component Name

Criticality

Input Mode

SLA (%)

MTTR (min)

Replicas

Component Name

Criticality

Input Mode

SLA (%)

MTTR (min)

Replicas

Total System SLA

99.989%

Allowed Downtime

Yearly52m 52s

Monthly4m 24s

Daily9s

System Reliability

System MTTR59m 42s

Expected Frequency1 incident every 1.1 years

Incident-free chance

Week

98.3%

Month

92.9%

Quarter

80.1%

Year

41.2%

Nexthours99.97%

Yearly downtime saved if the item or failure domain never failed. Work on the top entries first.

1.Global DNS (Route53)−52m 36s/yr
2.Application Tiergroup−8s/yr
3.Auth Service−8s/yr
4.Data Tiergroup−8s/yr
5.Aurora Primary−8s/yr

Shared infrastructure such as a zone, region or provider. Tag items with a domain and they fail together when it fails.

Monte Carlo Simulation

Auto-run

Ready

Target SLA for Simulation (%)

DR Goals (RTO/RPO)

Target RTO (min)

Target RPO (min)

System RTO:40m ✓

System RPO:1m ✓

Error Budget Modeling

Consumed (sec)

Period

Remaining Budget4m 24s

Allowed Downtime

System Reliability

Improvement Levers

Failure Domains

Reliability Analysis

Monte Carlo Simulation

DR Goals (RTO/RPO)

Error Budget Modeling