Metric Simulator

Beta

SLI

Metric Name

Metric Unit

Good

Lower Bound

SLO_Lower_Bound

Upper Bound

SLO_Upper_Bound

SLO

{{ slo.value }}%

Window: {{ windowDays }} Days

SLO Good Bounds

Lower Threshold: {{ lowerThreshold }}

Upper Threshold: {{ upperThreshold }}

Good


                            
                                {{ lowerThreshold }} {{ boundTypeToString(lowerBound) }}
                            
                             
                             {{ metricName }} 
                             
                            
                                {{ boundTypeToString(upperBound) }} {{ upperThreshold }}

Metric Data

Presets

Data distribution

Range			Quick Set	Probability
From	To			Absolute	Relative
{{ toFixed(b.min) }}	{{ toFixed(b.max) }}			{{ toFixed(percentages[i], 2) }}	{{ toFixed(b.probability, 2) }}%

Expected Shape of Data Distribution

Data Count

Window: {{ windowDays }} days

Data Points Per Day: {{ dataCountPerDay }}

{{ windowDataCount }} data points per {{ windowDays }} days

Window Count: {{ windowCount }} Windows

{{ dataCount }} data points in {{ windowCount }} windows

Min Value

Max Value

Output

Only integers

Emulate an incident

Length: {{ percL10n(incidentLengthPerc) }} of Window

{{ numL10n(incidentDataCount) }} data points

Insertion Point: {{ numL10n(incidentInsertionPoint) }}

Sort order

Ascending

Descending

Sorted Points

Percentiles

Accumulated Failure Counter

Service Level Status

Burn Rate

Analytics

	Value	Description
Data Count	{{ analytics.count }}	Number of elements in the dataset
Min {{ metricName }}	{{ analytics.min }}	Minimum number in the dataset
Max {{ metricName }}	{{ analytics.max }}	Maximum number in the dataset
Range	{{ analytics.range }}	Difference between the max and min in the randomly generated dataset
Mean {{ metricName }}	{{ analytics.mean }}	Average of all numbers in the dataset
Median {{ metricName }}	{{ analytics.median }}	Midpoint of the dataset
{{ p.name }} {{ metricName }}	{{ p.value }}	Value at index {{ p.index }} out of {{ analytics.count }}
Good	{{ slStats.good }}	Number of good events
Bad	{{ slStats.bad }}	Number of bad events
SLS	{{toFixed((slStats.good / slStats.total) * 100)}}%	Service Level Status over the entire dataset