AutoScalingGroupRecommendation (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.computeoptimizer.model.AutoScalingGroupRecommendation

All Implemented Interfaces:: StructuredPojo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class AutoScalingGroupRecommendation
extends Object
implements Serializable, Cloneable, StructuredPojo

Describes an Auto Scaling group recommendation.

See Also:: AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

AutoScalingGroupRecommendation()

Constructors
Constructor and Description
`AutoScalingGroupRecommendation()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`AutoScalingGroupRecommendation`	`clone()`
`boolean`	`equals(Object obj)`
`String`	`getAccountId()` The Amazon Web Services account ID of the Auto Scaling group.
`String`	`getAutoScalingGroupArn()` The Amazon Resource Name (ARN) of the Auto Scaling group.
`String`	`getAutoScalingGroupName()` The name of the Auto Scaling group.
`AutoScalingGroupConfiguration`	`getCurrentConfiguration()` An array of objects that describe the current configuration of the Auto Scaling group.
`GpuInfo`	`getCurrentInstanceGpuInfo()` Describes the GPU accelerator settings for the current instance type of the Auto Scaling group.
`String`	`getCurrentPerformanceRisk()` The risk of the current Auto Scaling group not meeting the performance needs of its workloads.
`EffectiveRecommendationPreferences`	`getEffectiveRecommendationPreferences()` An object that describes the effective recommendation preferences for the Auto Scaling group.
`String`	`getFinding()` The finding classification of the Auto Scaling group.
`List<String>`	`getInferredWorkloadTypes()` The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
`Date`	`getLastRefreshTimestamp()` The timestamp of when the Auto Scaling group recommendation was last generated.
`Double`	`getLookBackPeriodInDays()` The number of days for which utilization metrics were analyzed for the Auto Scaling group.
`List<AutoScalingGroupRecommendationOption>`	`getRecommendationOptions()` An array of objects that describe the recommendation options for the Auto Scaling group.
`List<UtilizationMetric>`	`getUtilizationMetrics()` An array of objects that describe the utilization metrics of the Auto Scaling group.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setAccountId(String accountId)` The Amazon Web Services account ID of the Auto Scaling group.
`void`	`setAutoScalingGroupArn(String autoScalingGroupArn)` The Amazon Resource Name (ARN) of the Auto Scaling group.
`void`	`setAutoScalingGroupName(String autoScalingGroupName)` The name of the Auto Scaling group.
`void`	`setCurrentConfiguration(AutoScalingGroupConfiguration currentConfiguration)` An array of objects that describe the current configuration of the Auto Scaling group.
`void`	`setCurrentInstanceGpuInfo(GpuInfo currentInstanceGpuInfo)` Describes the GPU accelerator settings for the current instance type of the Auto Scaling group.
`void`	`setCurrentPerformanceRisk(String currentPerformanceRisk)` The risk of the current Auto Scaling group not meeting the performance needs of its workloads.
`void`	`setEffectiveRecommendationPreferences(EffectiveRecommendationPreferences effectiveRecommendationPreferences)` An object that describes the effective recommendation preferences for the Auto Scaling group.
`void`	`setFinding(String finding)` The finding classification of the Auto Scaling group.
`void`	`setInferredWorkloadTypes(Collection<String> inferredWorkloadTypes)` The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
`void`	`setLastRefreshTimestamp(Date lastRefreshTimestamp)` The timestamp of when the Auto Scaling group recommendation was last generated.
`void`	`setLookBackPeriodInDays(Double lookBackPeriodInDays)` The number of days for which utilization metrics were analyzed for the Auto Scaling group.
`void`	`setRecommendationOptions(Collection<AutoScalingGroupRecommendationOption> recommendationOptions)` An array of objects that describe the recommendation options for the Auto Scaling group.
`void`	`setUtilizationMetrics(Collection<UtilizationMetric> utilizationMetrics)` An array of objects that describe the utilization metrics of the Auto Scaling group.
`String`	`toString()` Returns a string representation of this object.
`AutoScalingGroupRecommendation`	`withAccountId(String accountId)` The Amazon Web Services account ID of the Auto Scaling group.
`AutoScalingGroupRecommendation`	`withAutoScalingGroupArn(String autoScalingGroupArn)` The Amazon Resource Name (ARN) of the Auto Scaling group.
`AutoScalingGroupRecommendation`	`withAutoScalingGroupName(String autoScalingGroupName)` The name of the Auto Scaling group.
`AutoScalingGroupRecommendation`	`withCurrentConfiguration(AutoScalingGroupConfiguration currentConfiguration)` An array of objects that describe the current configuration of the Auto Scaling group.
`AutoScalingGroupRecommendation`	`withCurrentInstanceGpuInfo(GpuInfo currentInstanceGpuInfo)` Describes the GPU accelerator settings for the current instance type of the Auto Scaling group.
`AutoScalingGroupRecommendation`	`withCurrentPerformanceRisk(CurrentPerformanceRisk currentPerformanceRisk)` The risk of the current Auto Scaling group not meeting the performance needs of its workloads.
`AutoScalingGroupRecommendation`	`withCurrentPerformanceRisk(String currentPerformanceRisk)` The risk of the current Auto Scaling group not meeting the performance needs of its workloads.
`AutoScalingGroupRecommendation`	`withEffectiveRecommendationPreferences(EffectiveRecommendationPreferences effectiveRecommendationPreferences)` An object that describes the effective recommendation preferences for the Auto Scaling group.
`AutoScalingGroupRecommendation`	`withFinding(Finding finding)` The finding classification of the Auto Scaling group.
`AutoScalingGroupRecommendation`	`withFinding(String finding)` The finding classification of the Auto Scaling group.
`AutoScalingGroupRecommendation`	`withInferredWorkloadTypes(Collection<String> inferredWorkloadTypes)` The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
`AutoScalingGroupRecommendation`	`withInferredWorkloadTypes(InferredWorkloadType... inferredWorkloadTypes)` The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
`AutoScalingGroupRecommendation`	`withInferredWorkloadTypes(String... inferredWorkloadTypes)` The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
`AutoScalingGroupRecommendation`	`withLastRefreshTimestamp(Date lastRefreshTimestamp)` The timestamp of when the Auto Scaling group recommendation was last generated.
`AutoScalingGroupRecommendation`	`withLookBackPeriodInDays(Double lookBackPeriodInDays)` The number of days for which utilization metrics were analyzed for the Auto Scaling group.
`AutoScalingGroupRecommendation`	`withRecommendationOptions(AutoScalingGroupRecommendationOption... recommendationOptions)` An array of objects that describe the recommendation options for the Auto Scaling group.
`AutoScalingGroupRecommendation`	`withRecommendationOptions(Collection<AutoScalingGroupRecommendationOption> recommendationOptions)` An array of objects that describe the recommendation options for the Auto Scaling group.
`AutoScalingGroupRecommendation`	`withUtilizationMetrics(Collection<UtilizationMetric> utilizationMetrics)` An array of objects that describe the utilization metrics of the Auto Scaling group.
`AutoScalingGroupRecommendation`	`withUtilizationMetrics(UtilizationMetric... utilizationMetrics)` An array of objects that describe the utilization metrics of the Auto Scaling group.

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - AutoScalingGroupRecommendation
```
public AutoScalingGroupRecommendation()
```
- Method Detail
  - setAccountId
```
public void setAccountId(String accountId)
```
    The Amazon Web Services account ID of the Auto Scaling group.
    
    Parameters:
    
    accountId - The Amazon Web Services account ID of the Auto Scaling group.
  - getAccountId
```
public String getAccountId()
```
    The Amazon Web Services account ID of the Auto Scaling group.
    
    Returns:
    
    The Amazon Web Services account ID of the Auto Scaling group.
  - withAccountId
```
public AutoScalingGroupRecommendation withAccountId(String accountId)
```
    The Amazon Web Services account ID of the Auto Scaling group.
    
    Parameters:
    
    accountId - The Amazon Web Services account ID of the Auto Scaling group.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setAutoScalingGroupArn
```
public void setAutoScalingGroupArn(String autoScalingGroupArn)
```
    The Amazon Resource Name (ARN) of the Auto Scaling group.
    
    Parameters:
    
    autoScalingGroupArn - The Amazon Resource Name (ARN) of the Auto Scaling group.
  - getAutoScalingGroupArn
```
public String getAutoScalingGroupArn()
```
    The Amazon Resource Name (ARN) of the Auto Scaling group.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the Auto Scaling group.
  - withAutoScalingGroupArn
```
public AutoScalingGroupRecommendation withAutoScalingGroupArn(String autoScalingGroupArn)
```
    The Amazon Resource Name (ARN) of the Auto Scaling group.
    
    Parameters:
    
    autoScalingGroupArn - The Amazon Resource Name (ARN) of the Auto Scaling group.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setAutoScalingGroupName
```
public void setAutoScalingGroupName(String autoScalingGroupName)
```
    The name of the Auto Scaling group.
    
    Parameters:
    
    autoScalingGroupName - The name of the Auto Scaling group.
  - getAutoScalingGroupName
```
public String getAutoScalingGroupName()
```
    The name of the Auto Scaling group.
    
    Returns:
    
    The name of the Auto Scaling group.
  - withAutoScalingGroupName
```
public AutoScalingGroupRecommendation withAutoScalingGroupName(String autoScalingGroupName)
```
    The name of the Auto Scaling group.
    
    Parameters:
    
    autoScalingGroupName - The name of the Auto Scaling group.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setFinding
```
public void setFinding(String finding)
```
    The finding classification of the Auto Scaling group.
    
    Findings for Auto Scaling groups include:
    - NotOptimized —An Auto Scaling group is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.
    - Optimized —An Auto Scaling group is considered optimized when Compute Optimizer determines that the group is correctly provisioned to run your workload based on the chosen instance type. For optimized resources, Compute Optimizer might recommend a new generation instance type.
    Parameters:
    finding - The finding classification of the Auto Scaling group.
    
    Findings for Auto Scaling groups include:
    
    NotOptimized —An Auto Scaling group is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.
    
    Optimized —An Auto Scaling group is considered optimized when Compute Optimizer determines that the group is correctly provisioned to run your workload based on the chosen instance type. For optimized resources, Compute Optimizer might recommend a new generation instance type.
    See Also:
    
    Finding
  - getFinding
```
public String getFinding()
```
    The finding classification of the Auto Scaling group.
    
    Findings for Auto Scaling groups include:
    - NotOptimized —An Auto Scaling group is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.
    - Optimized —An Auto Scaling group is considered optimized when Compute Optimizer determines that the group is correctly provisioned to run your workload based on the chosen instance type. For optimized resources, Compute Optimizer might recommend a new generation instance type.
    Returns:
    The finding classification of the Auto Scaling group.
    
    Findings for Auto Scaling groups include:
    
    NotOptimized —An Auto Scaling group is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.
    
    Optimized —An Auto Scaling group is considered optimized when Compute Optimizer determines that the group is correctly provisioned to run your workload based on the chosen instance type. For optimized resources, Compute Optimizer might recommend a new generation instance type.
    See Also:
    
    Finding
  - withFinding
```
public AutoScalingGroupRecommendation withFinding(String finding)
```
    The finding classification of the Auto Scaling group.
    
    Findings for Auto Scaling groups include:
    - NotOptimized —An Auto Scaling group is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.
    - Optimized —An Auto Scaling group is considered optimized when Compute Optimizer determines that the group is correctly provisioned to run your workload based on the chosen instance type. For optimized resources, Compute Optimizer might recommend a new generation instance type.
    Parameters:
    finding - The finding classification of the Auto Scaling group.
    
    Findings for Auto Scaling groups include:
    
    NotOptimized —An Auto Scaling group is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.
    
    Optimized —An Auto Scaling group is considered optimized when Compute Optimizer determines that the group is correctly provisioned to run your workload based on the chosen instance type. For optimized resources, Compute Optimizer might recommend a new generation instance type.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    Finding
  - withFinding
```
public AutoScalingGroupRecommendation withFinding(Finding finding)
```
    The finding classification of the Auto Scaling group.
    
    Findings for Auto Scaling groups include:
    - NotOptimized —An Auto Scaling group is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.
    - Optimized —An Auto Scaling group is considered optimized when Compute Optimizer determines that the group is correctly provisioned to run your workload based on the chosen instance type. For optimized resources, Compute Optimizer might recommend a new generation instance type.
    Parameters:
    finding - The finding classification of the Auto Scaling group.
    
    Findings for Auto Scaling groups include:
    
    NotOptimized —An Auto Scaling group is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.
    
    Optimized —An Auto Scaling group is considered optimized when Compute Optimizer determines that the group is correctly provisioned to run your workload based on the chosen instance type. For optimized resources, Compute Optimizer might recommend a new generation instance type.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    Finding
  - getUtilizationMetrics
```
public List<UtilizationMetric> getUtilizationMetrics()
```
    An array of objects that describe the utilization metrics of the Auto Scaling group.
    
    Returns:
    
    An array of objects that describe the utilization metrics of the Auto Scaling group.
  - setUtilizationMetrics
```
public void setUtilizationMetrics(Collection<UtilizationMetric> utilizationMetrics)
```
    An array of objects that describe the utilization metrics of the Auto Scaling group.
    
    Parameters:
    
    utilizationMetrics - An array of objects that describe the utilization metrics of the Auto Scaling group.
  - withUtilizationMetrics
```
public AutoScalingGroupRecommendation withUtilizationMetrics(UtilizationMetric... utilizationMetrics)
```
    An array of objects that describe the utilization metrics of the Auto Scaling group.
    
    NOTE: This method appends the values to the existing list (if any). Use setUtilizationMetrics(java.util.Collection) or withUtilizationMetrics(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    utilizationMetrics - An array of objects that describe the utilization metrics of the Auto Scaling group.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withUtilizationMetrics
```
public AutoScalingGroupRecommendation withUtilizationMetrics(Collection<UtilizationMetric> utilizationMetrics)
```
    An array of objects that describe the utilization metrics of the Auto Scaling group.
    
    Parameters:
    
    utilizationMetrics - An array of objects that describe the utilization metrics of the Auto Scaling group.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLookBackPeriodInDays
```
public void setLookBackPeriodInDays(Double lookBackPeriodInDays)
```
    The number of days for which utilization metrics were analyzed for the Auto Scaling group.
    
    Parameters:
    
    lookBackPeriodInDays - The number of days for which utilization metrics were analyzed for the Auto Scaling group.
  - getLookBackPeriodInDays
```
public Double getLookBackPeriodInDays()
```
    The number of days for which utilization metrics were analyzed for the Auto Scaling group.
    
    Returns:
    
    The number of days for which utilization metrics were analyzed for the Auto Scaling group.
  - withLookBackPeriodInDays
```
public AutoScalingGroupRecommendation withLookBackPeriodInDays(Double lookBackPeriodInDays)
```
    The number of days for which utilization metrics were analyzed for the Auto Scaling group.
    
    Parameters:
    
    lookBackPeriodInDays - The number of days for which utilization metrics were analyzed for the Auto Scaling group.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setCurrentConfiguration
```
public void setCurrentConfiguration(AutoScalingGroupConfiguration currentConfiguration)
```
    An array of objects that describe the current configuration of the Auto Scaling group.
    
    Parameters:
    
    currentConfiguration - An array of objects that describe the current configuration of the Auto Scaling group.
  - getCurrentConfiguration
```
public AutoScalingGroupConfiguration getCurrentConfiguration()
```
    An array of objects that describe the current configuration of the Auto Scaling group.
    
    Returns:
    
    An array of objects that describe the current configuration of the Auto Scaling group.
  - withCurrentConfiguration
```
public AutoScalingGroupRecommendation withCurrentConfiguration(AutoScalingGroupConfiguration currentConfiguration)
```
    An array of objects that describe the current configuration of the Auto Scaling group.
    
    Parameters:
    
    currentConfiguration - An array of objects that describe the current configuration of the Auto Scaling group.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setCurrentInstanceGpuInfo
```
public void setCurrentInstanceGpuInfo(GpuInfo currentInstanceGpuInfo)
```
    Describes the GPU accelerator settings for the current instance type of the Auto Scaling group.
    
    Parameters:
    
    currentInstanceGpuInfo - Describes the GPU accelerator settings for the current instance type of the Auto Scaling group.
  - getCurrentInstanceGpuInfo
```
public GpuInfo getCurrentInstanceGpuInfo()
```
    Describes the GPU accelerator settings for the current instance type of the Auto Scaling group.
    
    Returns:
    
    Describes the GPU accelerator settings for the current instance type of the Auto Scaling group.
  - withCurrentInstanceGpuInfo
```
public AutoScalingGroupRecommendation withCurrentInstanceGpuInfo(GpuInfo currentInstanceGpuInfo)
```
    Describes the GPU accelerator settings for the current instance type of the Auto Scaling group.
    
    Parameters:
    
    currentInstanceGpuInfo - Describes the GPU accelerator settings for the current instance type of the Auto Scaling group.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getRecommendationOptions
```
public List<AutoScalingGroupRecommendationOption> getRecommendationOptions()
```
    An array of objects that describe the recommendation options for the Auto Scaling group.
    
    Returns:
    
    An array of objects that describe the recommendation options for the Auto Scaling group.
  - setRecommendationOptions
```
public void setRecommendationOptions(Collection<AutoScalingGroupRecommendationOption> recommendationOptions)
```
    An array of objects that describe the recommendation options for the Auto Scaling group.
    
    Parameters:
    
    recommendationOptions - An array of objects that describe the recommendation options for the Auto Scaling group.
  - withRecommendationOptions
```
public AutoScalingGroupRecommendation withRecommendationOptions(AutoScalingGroupRecommendationOption... recommendationOptions)
```
    An array of objects that describe the recommendation options for the Auto Scaling group.
    
    NOTE: This method appends the values to the existing list (if any). Use setRecommendationOptions(java.util.Collection) or withRecommendationOptions(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    recommendationOptions - An array of objects that describe the recommendation options for the Auto Scaling group.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withRecommendationOptions
```
public AutoScalingGroupRecommendation withRecommendationOptions(Collection<AutoScalingGroupRecommendationOption> recommendationOptions)
```
    An array of objects that describe the recommendation options for the Auto Scaling group.
    
    Parameters:
    
    recommendationOptions - An array of objects that describe the recommendation options for the Auto Scaling group.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLastRefreshTimestamp
```
public void setLastRefreshTimestamp(Date lastRefreshTimestamp)
```
    The timestamp of when the Auto Scaling group recommendation was last generated.
    
    Parameters:
    
    lastRefreshTimestamp - The timestamp of when the Auto Scaling group recommendation was last generated.
  - getLastRefreshTimestamp
```
public Date getLastRefreshTimestamp()
```
    The timestamp of when the Auto Scaling group recommendation was last generated.
    
    Returns:
    
    The timestamp of when the Auto Scaling group recommendation was last generated.
  - withLastRefreshTimestamp
```
public AutoScalingGroupRecommendation withLastRefreshTimestamp(Date lastRefreshTimestamp)
```
    The timestamp of when the Auto Scaling group recommendation was last generated.
    
    Parameters:
    
    lastRefreshTimestamp - The timestamp of when the Auto Scaling group recommendation was last generated.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setCurrentPerformanceRisk
```
public void setCurrentPerformanceRisk(String currentPerformanceRisk)
```
    The risk of the current Auto Scaling group not meeting the performance needs of its workloads. The higher the risk, the more likely the current Auto Scaling group configuration has insufficient capacity and cannot meet workload requirements.
    
    Parameters:
    
    currentPerformanceRisk - The risk of the current Auto Scaling group not meeting the performance needs of its workloads. The higher the risk, the more likely the current Auto Scaling group configuration has insufficient capacity and cannot meet workload requirements.
    
    See Also:
    
    CurrentPerformanceRisk
  - getCurrentPerformanceRisk
```
public String getCurrentPerformanceRisk()
```
    The risk of the current Auto Scaling group not meeting the performance needs of its workloads. The higher the risk, the more likely the current Auto Scaling group configuration has insufficient capacity and cannot meet workload requirements.
    
    Returns:
    
    The risk of the current Auto Scaling group not meeting the performance needs of its workloads. The higher the risk, the more likely the current Auto Scaling group configuration has insufficient capacity and cannot meet workload requirements.
    
    See Also:
    
    CurrentPerformanceRisk
  - withCurrentPerformanceRisk
```
public AutoScalingGroupRecommendation withCurrentPerformanceRisk(String currentPerformanceRisk)
```
    The risk of the current Auto Scaling group not meeting the performance needs of its workloads. The higher the risk, the more likely the current Auto Scaling group configuration has insufficient capacity and cannot meet workload requirements.
    
    Parameters:
    
    currentPerformanceRisk - The risk of the current Auto Scaling group not meeting the performance needs of its workloads. The higher the risk, the more likely the current Auto Scaling group configuration has insufficient capacity and cannot meet workload requirements.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    CurrentPerformanceRisk
  - withCurrentPerformanceRisk
```
public AutoScalingGroupRecommendation withCurrentPerformanceRisk(CurrentPerformanceRisk currentPerformanceRisk)
```
    The risk of the current Auto Scaling group not meeting the performance needs of its workloads. The higher the risk, the more likely the current Auto Scaling group configuration has insufficient capacity and cannot meet workload requirements.
    
    Parameters:
    
    currentPerformanceRisk - The risk of the current Auto Scaling group not meeting the performance needs of its workloads. The higher the risk, the more likely the current Auto Scaling group configuration has insufficient capacity and cannot meet workload requirements.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    CurrentPerformanceRisk
  - setEffectiveRecommendationPreferences
```
public void setEffectiveRecommendationPreferences(EffectiveRecommendationPreferences effectiveRecommendationPreferences)
```
    An object that describes the effective recommendation preferences for the Auto Scaling group.
    
    Parameters:
    
    effectiveRecommendationPreferences - An object that describes the effective recommendation preferences for the Auto Scaling group.
  - getEffectiveRecommendationPreferences
```
public EffectiveRecommendationPreferences getEffectiveRecommendationPreferences()
```
    An object that describes the effective recommendation preferences for the Auto Scaling group.
    
    Returns:
    
    An object that describes the effective recommendation preferences for the Auto Scaling group.
  - withEffectiveRecommendationPreferences
```
public AutoScalingGroupRecommendation withEffectiveRecommendationPreferences(EffectiveRecommendationPreferences effectiveRecommendationPreferences)
```
    An object that describes the effective recommendation preferences for the Auto Scaling group.
    
    Parameters:
    
    effectiveRecommendationPreferences - An object that describes the effective recommendation preferences for the Auto Scaling group.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getInferredWorkloadTypes
```
public List<String> getInferredWorkloadTypes()
```
    The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
    
    Compute Optimizer can infer if one of the following applications might be running on the instances:
    - AmazonEmr - Infers that Amazon EMR might be running on the instances.
    - ApacheCassandra - Infers that Apache Cassandra might be running on the instances.
    - ApacheHadoop - Infers that Apache Hadoop might be running on the instances.
    - Memcached - Infers that Memcached might be running on the instances.
    - NGINX - Infers that NGINX might be running on the instances.
    - PostgreSql - Infers that PostgreSQL might be running on the instances.
    - Redis - Infers that Redis might be running on the instances.
    - Kafka - Infers that Kafka might be running on the instance.
    - SQLServer - Infers that SQLServer might be running on the instance.
    Returns:
    The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
    
    Compute Optimizer can infer if one of the following applications might be running on the instances:
    
    AmazonEmr - Infers that Amazon EMR might be running on the instances.
    
    ApacheCassandra - Infers that Apache Cassandra might be running on the instances.
    
    ApacheHadoop - Infers that Apache Hadoop might be running on the instances.
    
    Memcached - Infers that Memcached might be running on the instances.
    
    NGINX - Infers that NGINX might be running on the instances.
    
    PostgreSql - Infers that PostgreSQL might be running on the instances.
    
    Redis - Infers that Redis might be running on the instances.
    
    Kafka - Infers that Kafka might be running on the instance.
    
    SQLServer - Infers that SQLServer might be running on the instance.
    See Also:
    
    InferredWorkloadType
  - setInferredWorkloadTypes
```
public void setInferredWorkloadTypes(Collection<String> inferredWorkloadTypes)
```
    The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
    
    Compute Optimizer can infer if one of the following applications might be running on the instances:
    - AmazonEmr - Infers that Amazon EMR might be running on the instances.
    - ApacheCassandra - Infers that Apache Cassandra might be running on the instances.
    - ApacheHadoop - Infers that Apache Hadoop might be running on the instances.
    - Memcached - Infers that Memcached might be running on the instances.
    - NGINX - Infers that NGINX might be running on the instances.
    - PostgreSql - Infers that PostgreSQL might be running on the instances.
    - Redis - Infers that Redis might be running on the instances.
    - Kafka - Infers that Kafka might be running on the instance.
    - SQLServer - Infers that SQLServer might be running on the instance.
    Parameters:
    inferredWorkloadTypes - The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
    
    Compute Optimizer can infer if one of the following applications might be running on the instances:
    
    AmazonEmr - Infers that Amazon EMR might be running on the instances.
    
    ApacheCassandra - Infers that Apache Cassandra might be running on the instances.
    
    ApacheHadoop - Infers that Apache Hadoop might be running on the instances.
    
    Memcached - Infers that Memcached might be running on the instances.
    
    NGINX - Infers that NGINX might be running on the instances.
    
    PostgreSql - Infers that PostgreSQL might be running on the instances.
    
    Redis - Infers that Redis might be running on the instances.
    
    Kafka - Infers that Kafka might be running on the instance.
    
    SQLServer - Infers that SQLServer might be running on the instance.
    See Also:
    
    InferredWorkloadType
  - withInferredWorkloadTypes
```
public AutoScalingGroupRecommendation withInferredWorkloadTypes(String... inferredWorkloadTypes)
```
    The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
    
    Compute Optimizer can infer if one of the following applications might be running on the instances:
    - AmazonEmr - Infers that Amazon EMR might be running on the instances.
    - ApacheCassandra - Infers that Apache Cassandra might be running on the instances.
    - ApacheHadoop - Infers that Apache Hadoop might be running on the instances.
    - Memcached - Infers that Memcached might be running on the instances.
    - NGINX - Infers that NGINX might be running on the instances.
    - PostgreSql - Infers that PostgreSQL might be running on the instances.
    - Redis - Infers that Redis might be running on the instances.
    - Kafka - Infers that Kafka might be running on the instance.
    - SQLServer - Infers that SQLServer might be running on the instance.
    NOTE: This method appends the values to the existing list (if any). Use setInferredWorkloadTypes(java.util.Collection) or withInferredWorkloadTypes(java.util.Collection) if you want to override the existing values.
    Parameters:
    inferredWorkloadTypes - The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
    
    Compute Optimizer can infer if one of the following applications might be running on the instances:
    
    AmazonEmr - Infers that Amazon EMR might be running on the instances.
    
    ApacheCassandra - Infers that Apache Cassandra might be running on the instances.
    
    ApacheHadoop - Infers that Apache Hadoop might be running on the instances.
    
    Memcached - Infers that Memcached might be running on the instances.
    
    NGINX - Infers that NGINX might be running on the instances.
    
    PostgreSql - Infers that PostgreSQL might be running on the instances.
    
    Redis - Infers that Redis might be running on the instances.
    
    Kafka - Infers that Kafka might be running on the instance.
    
    SQLServer - Infers that SQLServer might be running on the instance.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    InferredWorkloadType
  - withInferredWorkloadTypes
```
public AutoScalingGroupRecommendation withInferredWorkloadTypes(Collection<String> inferredWorkloadTypes)
```
    The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
    
    Compute Optimizer can infer if one of the following applications might be running on the instances:
    - AmazonEmr - Infers that Amazon EMR might be running on the instances.
    - ApacheCassandra - Infers that Apache Cassandra might be running on the instances.
    - ApacheHadoop - Infers that Apache Hadoop might be running on the instances.
    - Memcached - Infers that Memcached might be running on the instances.
    - NGINX - Infers that NGINX might be running on the instances.
    - PostgreSql - Infers that PostgreSQL might be running on the instances.
    - Redis - Infers that Redis might be running on the instances.
    - Kafka - Infers that Kafka might be running on the instance.
    - SQLServer - Infers that SQLServer might be running on the instance.
    Parameters:
    inferredWorkloadTypes - The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
    
    Compute Optimizer can infer if one of the following applications might be running on the instances:
    
    AmazonEmr - Infers that Amazon EMR might be running on the instances.
    
    ApacheCassandra - Infers that Apache Cassandra might be running on the instances.
    
    ApacheHadoop - Infers that Apache Hadoop might be running on the instances.
    
    Memcached - Infers that Memcached might be running on the instances.
    
    NGINX - Infers that NGINX might be running on the instances.
    
    PostgreSql - Infers that PostgreSQL might be running on the instances.
    
    Redis - Infers that Redis might be running on the instances.
    
    Kafka - Infers that Kafka might be running on the instance.
    
    SQLServer - Infers that SQLServer might be running on the instance.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    InferredWorkloadType
  - withInferredWorkloadTypes
```
public AutoScalingGroupRecommendation withInferredWorkloadTypes(InferredWorkloadType... inferredWorkloadTypes)
```
    The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
    
    Compute Optimizer can infer if one of the following applications might be running on the instances:
    - AmazonEmr - Infers that Amazon EMR might be running on the instances.
    - ApacheCassandra - Infers that Apache Cassandra might be running on the instances.
    - ApacheHadoop - Infers that Apache Hadoop might be running on the instances.
    - Memcached - Infers that Memcached might be running on the instances.
    - NGINX - Infers that NGINX might be running on the instances.
    - PostgreSql - Infers that PostgreSQL might be running on the instances.
    - Redis - Infers that Redis might be running on the instances.
    - Kafka - Infers that Kafka might be running on the instance.
    - SQLServer - Infers that SQLServer might be running on the instance.
    Parameters:
    inferredWorkloadTypes - The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
    
    Compute Optimizer can infer if one of the following applications might be running on the instances:
    
    AmazonEmr - Infers that Amazon EMR might be running on the instances.
    
    ApacheCassandra - Infers that Apache Cassandra might be running on the instances.
    
    ApacheHadoop - Infers that Apache Hadoop might be running on the instances.
    
    Memcached - Infers that Memcached might be running on the instances.
    
    NGINX - Infers that NGINX might be running on the instances.
    
    PostgreSql - Infers that PostgreSQL might be running on the instances.
    
    Redis - Infers that Redis might be running on the instances.
    
    Kafka - Infers that Kafka might be running on the instance.
    
    SQLServer - Infers that SQLServer might be running on the instance.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    InferredWorkloadType
  - toString
```
public String toString()
```
    Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public AutoScalingGroupRecommendation clone()
```
    Overrides:
    
    clone in class Object
  - marshall
```
public void marshall(ProtocolMarshaller protocolMarshaller)
```
    Description copied from interface: StructuredPojo
    
    Marshalls this structured data using the given ProtocolMarshaller.
    
    Specified by:
    
    marshall in interface StructuredPojo
    
    Parameters:
    
    protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.

AWS SDK for Java 1.x API Reference - 1.12.782

Class AutoScalingGroupRecommendation

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

AutoScalingGroupRecommendation

Method Detail

setAccountId

getAccountId

withAccountId

setAutoScalingGroupArn

getAutoScalingGroupArn

withAutoScalingGroupArn

setAutoScalingGroupName

getAutoScalingGroupName

withAutoScalingGroupName

setFinding

getFinding

withFinding

withFinding

getUtilizationMetrics

setUtilizationMetrics

withUtilizationMetrics

withUtilizationMetrics

setLookBackPeriodInDays

getLookBackPeriodInDays

withLookBackPeriodInDays

setCurrentConfiguration

getCurrentConfiguration

withCurrentConfiguration

setCurrentInstanceGpuInfo

getCurrentInstanceGpuInfo

withCurrentInstanceGpuInfo

getRecommendationOptions

setRecommendationOptions

withRecommendationOptions

withRecommendationOptions

setLastRefreshTimestamp

getLastRefreshTimestamp

withLastRefreshTimestamp

setCurrentPerformanceRisk

getCurrentPerformanceRisk

withCurrentPerformanceRisk

withCurrentPerformanceRisk

setEffectiveRecommendationPreferences

getEffectiveRecommendationPreferences

withEffectiveRecommendationPreferences

getInferredWorkloadTypes

setInferredWorkloadTypes

withInferredWorkloadTypes

withInferredWorkloadTypes

withInferredWorkloadTypes

toString

equals

hashCode

clone

marshall