Configure SLA

SLA Configuration

Via a Wizard

Go to Germain Workspace > Left Menu > Wizard > SLA

Via SLA Screen

Go to Germain Workspace > Left Menu > Analytics > SLA

Predictive SLA

How-to enable Predictive SLA for your KPI

• Log on to Germain UX > Left Menu > Wizards

  

• Select the KPI for which you want to configure a predictive SLA (selection is disabled if you came from KPI View)

  

• Select the “Predictive-Curve” SLA type

  

• Specify the details of the value and timeframe you want to predict

  

• Select the alert template and action(s) you want the system to execute if the previous SLA check fails

  

More details on how to edit a template here.

Smart Insight SLA

Here is how to enable Smart Insights for your KPI

• Germain UX > Left Menu > Automation > Alerts > analytical-sla-alert

• Germain UX > Left Menu > Analytics > SLA > Smart Insights SLA - Day

Attributes

FactBasedSLA

The context object available from a FactBasedSLA has the following structure:

• sla (Object)

• threshold (Object)

• kpi (Object)

• fact (Object)

• value (Double)

• resource (String)

• violation (boolean)

• violationCount (int)

More info on the structure of these objects is available below. For example, if you have a LocalActionExecutor that executes a command when an SLA is breached, you can reference the variables above inside your command or arguments follows:

${context.fact.system.hostname}

${context.kpi.name}

StatisticalSLA

The context object available from a StatisticalSLA has the following structure:

• sla (Object)

• kpi (Object)

• value (Double)

• resource (String)

• values (Map<String, Double>)

• timestamp (Object)

• result (Object)

More info on the structure of these objects is available below. These variables can be accessed in the same way as above.

SLA Object

The above objects have the following structure:

FactBasedSLA:
                name (String)
                color (Object)
                constantValue (String) – this is the SLA threshold
AggregateSLA:
                operator (Object)
                thresholdValue (Double)
                periodCount (Integer)
                periodGranularity (Object)
                rank (Double)
ColorPercentileSLA:
                operator (Object)
                thresholdValue (Double)
                periodCount (Integer)
                periodGranularity (Object)
PercentChangeSLA:
                operator (Object)
                thresholdValue (Double)
                periodCount (Integer)
                periodGranularity (Object)
                baselineGranularity (Object)
PredictiveSLA:
                operator (Object)
                thresholdValue (Double)
                periodCount (Integer)
                periodGranularity (Object)
                dataGranularity (Object)
                extrapolateValue (boolean)

Threshold Object:

name (String)
color (Color)
thresholdValue (Double)
thresholdExpression (String)

KPI Object

Name (String)
Description (String)

Fact Object

Here are details on Germain data model.

Result Object

CurrentInterval (Object)

start (Object)

end (Object)

baselineInterval (Object)

start (Object)

end (Object)

measure (String)

unit (String)

Service: Analytics

Feature Availability: 2011.1