/* * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with * the License. A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions * and limitations under the License. */ package com.amazonaws.services.computeoptimizer.model; import java.io.Serializable; import javax.annotation.Generated; import com.amazonaws.protocol.StructuredPojo; import com.amazonaws.protocol.ProtocolMarshaller; /** *

* Describes an Auto Scaling group recommendation. *

* * @see AWS API Documentation */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class AutoScalingGroupRecommendation implements Serializable, Cloneable, StructuredPojo { /** *

* The Amazon Web Services account ID of the Auto Scaling group. *

*/ private String accountId; /** *

* The Amazon Resource Name (ARN) of the Auto Scaling group. *

*/ private String autoScalingGroupArn; /** *

* The name of the Auto Scaling group. *

*/ private String autoScalingGroupName; /** *

* The finding classification of the Auto Scaling group. *

*

* Findings for Auto Scaling groups include: *

* */ private String finding; /** *

* An array of objects that describe the utilization metrics of the Auto Scaling group. *

*/ private java.util.List utilizationMetrics; /** *

* The number of days for which utilization metrics were analyzed for the Auto Scaling group. *

*/ private Double lookBackPeriodInDays; /** *

* An array of objects that describe the current configuration of the Auto Scaling group. *

*/ private AutoScalingGroupConfiguration currentConfiguration; /** *

* An array of objects that describe the recommendation options for the Auto Scaling group. *

*/ private java.util.List recommendationOptions; /** *

* The timestamp of when the Auto Scaling group recommendation was last generated. *

*/ private java.util.Date lastRefreshTimestamp; /** *

* 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. *

*/ private String currentPerformanceRisk; /** *

* An object that describes the effective recommendation preferences for the Auto Scaling group. *

*/ private EffectiveRecommendationPreferences effectiveRecommendationPreferences; /** *

* 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: *

* */ private java.util.List inferredWorkloadTypes; /** *

* The Amazon Web Services account ID of the Auto Scaling group. *

* * @param accountId * The Amazon Web Services account ID of the Auto Scaling group. */ public void setAccountId(String accountId) { this.accountId = accountId; } /** *

* The Amazon Web Services account ID of the Auto Scaling group. *

* * @return The Amazon Web Services account ID of the Auto Scaling group. */ public String getAccountId() { return this.accountId; } /** *

* The Amazon Web Services account ID of the Auto Scaling group. *

* * @param accountId * The Amazon Web Services account ID of the Auto Scaling group. * @return Returns a reference to this object so that method calls can be chained together. */ public AutoScalingGroupRecommendation withAccountId(String accountId) { setAccountId(accountId); return this; } /** *

* The Amazon Resource Name (ARN) of the Auto Scaling group. *

* * @param autoScalingGroupArn * The Amazon Resource Name (ARN) of the Auto Scaling group. */ public void setAutoScalingGroupArn(String autoScalingGroupArn) { this.autoScalingGroupArn = autoScalingGroupArn; } /** *

* The Amazon Resource Name (ARN) of the Auto Scaling group. *

* * @return The Amazon Resource Name (ARN) of the Auto Scaling group. */ public String getAutoScalingGroupArn() { return this.autoScalingGroupArn; } /** *

* The Amazon Resource Name (ARN) of the Auto Scaling group. *

* * @param autoScalingGroupArn * The Amazon Resource Name (ARN) of the Auto Scaling group. * @return Returns a reference to this object so that method calls can be chained together. */ public AutoScalingGroupRecommendation withAutoScalingGroupArn(String autoScalingGroupArn) { setAutoScalingGroupArn(autoScalingGroupArn); return this; } /** *

* The name of the Auto Scaling group. *

* * @param autoScalingGroupName * The name of the Auto Scaling group. */ public void setAutoScalingGroupName(String autoScalingGroupName) { this.autoScalingGroupName = autoScalingGroupName; } /** *

* The name of the Auto Scaling group. *

* * @return The name of the Auto Scaling group. */ public String getAutoScalingGroupName() { return this.autoScalingGroupName; } /** *

* The name of the Auto Scaling group. *

* * @param autoScalingGroupName * The name of the Auto Scaling group. * @return Returns a reference to this object so that method calls can be chained together. */ public AutoScalingGroupRecommendation withAutoScalingGroupName(String autoScalingGroupName) { setAutoScalingGroupName(autoScalingGroupName); return this; } /** *

* 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. *

    *
    • *
* * @param 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 Finding */ public void setFinding(String finding) { this.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. *

      *
      • *
    * * @return 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 Finding */ public String getFinding() { return this.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. *

        *
        • *
      * * @param 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. *

        *
        • * @return Returns a reference to this object so that method calls can be chained together. * @see Finding */ public AutoScalingGroupRecommendation withFinding(String finding) { setFinding(finding); return this; } /** *

        * 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. *

          *
          • *
        * * @param 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. *

          *
          • * @return Returns a reference to this object so that method calls can be chained together. * @see Finding */ public AutoScalingGroupRecommendation withFinding(Finding finding) { this.finding = finding.toString(); return this; } /** *

          * An array of objects that describe the utilization metrics of the Auto Scaling group. *

          * * @return An array of objects that describe the utilization metrics of the Auto Scaling group. */ public java.util.List getUtilizationMetrics() { return utilizationMetrics; } /** *

          * An array of objects that describe the utilization metrics of the Auto Scaling group. *

          * * @param utilizationMetrics * An array of objects that describe the utilization metrics of the Auto Scaling group. */ public void setUtilizationMetrics(java.util.Collection utilizationMetrics) { if (utilizationMetrics == null) { this.utilizationMetrics = null; return; } this.utilizationMetrics = new java.util.ArrayList(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 * {@link #setUtilizationMetrics(java.util.Collection)} or {@link #withUtilizationMetrics(java.util.Collection)} if * you want to override the existing values. *

          * * @param utilizationMetrics * An array of objects that describe the utilization metrics of the Auto Scaling group. * @return Returns a reference to this object so that method calls can be chained together. */ public AutoScalingGroupRecommendation withUtilizationMetrics(UtilizationMetric... utilizationMetrics) { if (this.utilizationMetrics == null) { setUtilizationMetrics(new java.util.ArrayList(utilizationMetrics.length)); } for (UtilizationMetric ele : utilizationMetrics) { this.utilizationMetrics.add(ele); } return this; } /** *

          * An array of objects that describe the utilization metrics of the Auto Scaling group. *

          * * @param utilizationMetrics * An array of objects that describe the utilization metrics of the Auto Scaling group. * @return Returns a reference to this object so that method calls can be chained together. */ public AutoScalingGroupRecommendation withUtilizationMetrics(java.util.Collection utilizationMetrics) { setUtilizationMetrics(utilizationMetrics); return this; } /** *

          * The number of days for which utilization metrics were analyzed for the Auto Scaling group. *

          * * @param lookBackPeriodInDays * The number of days for which utilization metrics were analyzed for the Auto Scaling group. */ public void setLookBackPeriodInDays(Double lookBackPeriodInDays) { this.lookBackPeriodInDays = lookBackPeriodInDays; } /** *

          * The number of days for which utilization metrics were analyzed for the Auto Scaling group. *

          * * @return The number of days for which utilization metrics were analyzed for the Auto Scaling group. */ public Double getLookBackPeriodInDays() { return this.lookBackPeriodInDays; } /** *

          * The number of days for which utilization metrics were analyzed for the Auto Scaling group. *

          * * @param lookBackPeriodInDays * The number of days for which utilization metrics were analyzed for the Auto Scaling group. * @return Returns a reference to this object so that method calls can be chained together. */ public AutoScalingGroupRecommendation withLookBackPeriodInDays(Double lookBackPeriodInDays) { setLookBackPeriodInDays(lookBackPeriodInDays); return this; } /** *

          * An array of objects that describe the current configuration of the Auto Scaling group. *

          * * @param currentConfiguration * An array of objects that describe the current configuration of the Auto Scaling group. */ public void setCurrentConfiguration(AutoScalingGroupConfiguration currentConfiguration) { this.currentConfiguration = currentConfiguration; } /** *

          * An array of objects that describe the current configuration of the Auto Scaling group. *

          * * @return An array of objects that describe the current configuration of the Auto Scaling group. */ public AutoScalingGroupConfiguration getCurrentConfiguration() { return this.currentConfiguration; } /** *

          * An array of objects that describe the current configuration of the Auto Scaling group. *

          * * @param currentConfiguration * An array of objects that describe the current configuration of the Auto Scaling group. * @return Returns a reference to this object so that method calls can be chained together. */ public AutoScalingGroupRecommendation withCurrentConfiguration(AutoScalingGroupConfiguration currentConfiguration) { setCurrentConfiguration(currentConfiguration); return this; } /** *

          * An array of objects that describe the recommendation options for the Auto Scaling group. *

          * * @return An array of objects that describe the recommendation options for the Auto Scaling group. */ public java.util.List getRecommendationOptions() { return recommendationOptions; } /** *

          * An array of objects that describe the recommendation options for the Auto Scaling group. *

          * * @param recommendationOptions * An array of objects that describe the recommendation options for the Auto Scaling group. */ public void setRecommendationOptions(java.util.Collection recommendationOptions) { if (recommendationOptions == null) { this.recommendationOptions = null; return; } this.recommendationOptions = new java.util.ArrayList(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 * {@link #setRecommendationOptions(java.util.Collection)} or * {@link #withRecommendationOptions(java.util.Collection)} if you want to override the existing values. *

          * * @param recommendationOptions * An array of objects that describe the recommendation options for the Auto Scaling group. * @return Returns a reference to this object so that method calls can be chained together. */ public AutoScalingGroupRecommendation withRecommendationOptions(AutoScalingGroupRecommendationOption... recommendationOptions) { if (this.recommendationOptions == null) { setRecommendationOptions(new java.util.ArrayList(recommendationOptions.length)); } for (AutoScalingGroupRecommendationOption ele : recommendationOptions) { this.recommendationOptions.add(ele); } return this; } /** *

          * An array of objects that describe the recommendation options for the Auto Scaling group. *

          * * @param recommendationOptions * An array of objects that describe the recommendation options for the Auto Scaling group. * @return Returns a reference to this object so that method calls can be chained together. */ public AutoScalingGroupRecommendation withRecommendationOptions(java.util.Collection recommendationOptions) { setRecommendationOptions(recommendationOptions); return this; } /** *

          * The timestamp of when the Auto Scaling group recommendation was last generated. *

          * * @param lastRefreshTimestamp * The timestamp of when the Auto Scaling group recommendation was last generated. */ public void setLastRefreshTimestamp(java.util.Date lastRefreshTimestamp) { this.lastRefreshTimestamp = lastRefreshTimestamp; } /** *

          * The timestamp of when the Auto Scaling group recommendation was last generated. *

          * * @return The timestamp of when the Auto Scaling group recommendation was last generated. */ public java.util.Date getLastRefreshTimestamp() { return this.lastRefreshTimestamp; } /** *

          * The timestamp of when the Auto Scaling group recommendation was last generated. *

          * * @param lastRefreshTimestamp * The timestamp of when the Auto Scaling group recommendation was last generated. * @return Returns a reference to this object so that method calls can be chained together. */ public AutoScalingGroupRecommendation withLastRefreshTimestamp(java.util.Date lastRefreshTimestamp) { setLastRefreshTimestamp(lastRefreshTimestamp); return this; } /** *

          * 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. *

          * * @param 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 CurrentPerformanceRisk */ public void setCurrentPerformanceRisk(String currentPerformanceRisk) { this.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. *

          * * @return 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 CurrentPerformanceRisk */ public String getCurrentPerformanceRisk() { return this.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. *

          * * @param 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. * @return Returns a reference to this object so that method calls can be chained together. * @see CurrentPerformanceRisk */ public AutoScalingGroupRecommendation withCurrentPerformanceRisk(String currentPerformanceRisk) { setCurrentPerformanceRisk(currentPerformanceRisk); return this; } /** *

          * 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. *

          * * @param 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. * @return Returns a reference to this object so that method calls can be chained together. * @see CurrentPerformanceRisk */ public AutoScalingGroupRecommendation withCurrentPerformanceRisk(CurrentPerformanceRisk currentPerformanceRisk) { this.currentPerformanceRisk = currentPerformanceRisk.toString(); return this; } /** *

          * An object that describes the effective recommendation preferences for the Auto Scaling group. *

          * * @param effectiveRecommendationPreferences * An object that describes the effective recommendation preferences for the Auto Scaling group. */ public void setEffectiveRecommendationPreferences(EffectiveRecommendationPreferences effectiveRecommendationPreferences) { this.effectiveRecommendationPreferences = effectiveRecommendationPreferences; } /** *

          * An object that describes the effective recommendation preferences for the Auto Scaling group. *

          * * @return An object that describes the effective recommendation preferences for the Auto Scaling group. */ public EffectiveRecommendationPreferences getEffectiveRecommendationPreferences() { return this.effectiveRecommendationPreferences; } /** *

          * An object that describes the effective recommendation preferences for the Auto Scaling group. *

          * * @param effectiveRecommendationPreferences * An object that describes the effective recommendation preferences for the Auto Scaling group. * @return Returns a reference to this object so that method calls can be chained together. */ public AutoScalingGroupRecommendation withEffectiveRecommendationPreferences(EffectiveRecommendationPreferences effectiveRecommendationPreferences) { setEffectiveRecommendationPreferences(effectiveRecommendationPreferences); return this; } /** *

          * 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. *

            *
            • *
          * * @return 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 InferredWorkloadType */ public java.util.List getInferredWorkloadTypes() { return 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. *

              *
              • *
            * * @param 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 InferredWorkloadType */ public void setInferredWorkloadTypes(java.util.Collection inferredWorkloadTypes) { if (inferredWorkloadTypes == null) { this.inferredWorkloadTypes = null; return; } this.inferredWorkloadTypes = new java.util.ArrayList(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 * {@link #setInferredWorkloadTypes(java.util.Collection)} or * {@link #withInferredWorkloadTypes(java.util.Collection)} if you want to override the existing values. *

              * * @param 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. *

                *
                • * @return Returns a reference to this object so that method calls can be chained together. * @see InferredWorkloadType */ public AutoScalingGroupRecommendation withInferredWorkloadTypes(String... inferredWorkloadTypes) { if (this.inferredWorkloadTypes == null) { setInferredWorkloadTypes(new java.util.ArrayList(inferredWorkloadTypes.length)); } for (String ele : inferredWorkloadTypes) { this.inferredWorkloadTypes.add(ele); } return this; } /** *

                * 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. *

                  *
                  • *
                * * @param 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. *

                  *
                  • * @return Returns a reference to this object so that method calls can be chained together. * @see InferredWorkloadType */ public AutoScalingGroupRecommendation withInferredWorkloadTypes(java.util.Collection inferredWorkloadTypes) { setInferredWorkloadTypes(inferredWorkloadTypes); return this; } /** *

                  * 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. *

                    *
                    • *
                  * * @param 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. *

                    *
                    • * @return Returns a reference to this object so that method calls can be chained together. * @see InferredWorkloadType */ public AutoScalingGroupRecommendation withInferredWorkloadTypes(InferredWorkloadType... inferredWorkloadTypes) { java.util.ArrayList inferredWorkloadTypesCopy = new java.util.ArrayList(inferredWorkloadTypes.length); for (InferredWorkloadType value : inferredWorkloadTypes) { inferredWorkloadTypesCopy.add(value.toString()); } if (getInferredWorkloadTypes() == null) { setInferredWorkloadTypes(inferredWorkloadTypesCopy); } else { getInferredWorkloadTypes().addAll(inferredWorkloadTypesCopy); } return this; } /** * 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. * * @return A string representation of this object. * * @see java.lang.Object#toString() */ @Override public String toString() { StringBuilder sb = new StringBuilder(); sb.append("{"); if (getAccountId() != null) sb.append("AccountId: ").append(getAccountId()).append(","); if (getAutoScalingGroupArn() != null) sb.append("AutoScalingGroupArn: ").append(getAutoScalingGroupArn()).append(","); if (getAutoScalingGroupName() != null) sb.append("AutoScalingGroupName: ").append(getAutoScalingGroupName()).append(","); if (getFinding() != null) sb.append("Finding: ").append(getFinding()).append(","); if (getUtilizationMetrics() != null) sb.append("UtilizationMetrics: ").append(getUtilizationMetrics()).append(","); if (getLookBackPeriodInDays() != null) sb.append("LookBackPeriodInDays: ").append(getLookBackPeriodInDays()).append(","); if (getCurrentConfiguration() != null) sb.append("CurrentConfiguration: ").append(getCurrentConfiguration()).append(","); if (getRecommendationOptions() != null) sb.append("RecommendationOptions: ").append(getRecommendationOptions()).append(","); if (getLastRefreshTimestamp() != null) sb.append("LastRefreshTimestamp: ").append(getLastRefreshTimestamp()).append(","); if (getCurrentPerformanceRisk() != null) sb.append("CurrentPerformanceRisk: ").append(getCurrentPerformanceRisk()).append(","); if (getEffectiveRecommendationPreferences() != null) sb.append("EffectiveRecommendationPreferences: ").append(getEffectiveRecommendationPreferences()).append(","); if (getInferredWorkloadTypes() != null) sb.append("InferredWorkloadTypes: ").append(getInferredWorkloadTypes()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof AutoScalingGroupRecommendation == false) return false; AutoScalingGroupRecommendation other = (AutoScalingGroupRecommendation) obj; if (other.getAccountId() == null ^ this.getAccountId() == null) return false; if (other.getAccountId() != null && other.getAccountId().equals(this.getAccountId()) == false) return false; if (other.getAutoScalingGroupArn() == null ^ this.getAutoScalingGroupArn() == null) return false; if (other.getAutoScalingGroupArn() != null && other.getAutoScalingGroupArn().equals(this.getAutoScalingGroupArn()) == false) return false; if (other.getAutoScalingGroupName() == null ^ this.getAutoScalingGroupName() == null) return false; if (other.getAutoScalingGroupName() != null && other.getAutoScalingGroupName().equals(this.getAutoScalingGroupName()) == false) return false; if (other.getFinding() == null ^ this.getFinding() == null) return false; if (other.getFinding() != null && other.getFinding().equals(this.getFinding()) == false) return false; if (other.getUtilizationMetrics() == null ^ this.getUtilizationMetrics() == null) return false; if (other.getUtilizationMetrics() != null && other.getUtilizationMetrics().equals(this.getUtilizationMetrics()) == false) return false; if (other.getLookBackPeriodInDays() == null ^ this.getLookBackPeriodInDays() == null) return false; if (other.getLookBackPeriodInDays() != null && other.getLookBackPeriodInDays().equals(this.getLookBackPeriodInDays()) == false) return false; if (other.getCurrentConfiguration() == null ^ this.getCurrentConfiguration() == null) return false; if (other.getCurrentConfiguration() != null && other.getCurrentConfiguration().equals(this.getCurrentConfiguration()) == false) return false; if (other.getRecommendationOptions() == null ^ this.getRecommendationOptions() == null) return false; if (other.getRecommendationOptions() != null && other.getRecommendationOptions().equals(this.getRecommendationOptions()) == false) return false; if (other.getLastRefreshTimestamp() == null ^ this.getLastRefreshTimestamp() == null) return false; if (other.getLastRefreshTimestamp() != null && other.getLastRefreshTimestamp().equals(this.getLastRefreshTimestamp()) == false) return false; if (other.getCurrentPerformanceRisk() == null ^ this.getCurrentPerformanceRisk() == null) return false; if (other.getCurrentPerformanceRisk() != null && other.getCurrentPerformanceRisk().equals(this.getCurrentPerformanceRisk()) == false) return false; if (other.getEffectiveRecommendationPreferences() == null ^ this.getEffectiveRecommendationPreferences() == null) return false; if (other.getEffectiveRecommendationPreferences() != null && other.getEffectiveRecommendationPreferences().equals(this.getEffectiveRecommendationPreferences()) == false) return false; if (other.getInferredWorkloadTypes() == null ^ this.getInferredWorkloadTypes() == null) return false; if (other.getInferredWorkloadTypes() != null && other.getInferredWorkloadTypes().equals(this.getInferredWorkloadTypes()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getAccountId() == null) ? 0 : getAccountId().hashCode()); hashCode = prime * hashCode + ((getAutoScalingGroupArn() == null) ? 0 : getAutoScalingGroupArn().hashCode()); hashCode = prime * hashCode + ((getAutoScalingGroupName() == null) ? 0 : getAutoScalingGroupName().hashCode()); hashCode = prime * hashCode + ((getFinding() == null) ? 0 : getFinding().hashCode()); hashCode = prime * hashCode + ((getUtilizationMetrics() == null) ? 0 : getUtilizationMetrics().hashCode()); hashCode = prime * hashCode + ((getLookBackPeriodInDays() == null) ? 0 : getLookBackPeriodInDays().hashCode()); hashCode = prime * hashCode + ((getCurrentConfiguration() == null) ? 0 : getCurrentConfiguration().hashCode()); hashCode = prime * hashCode + ((getRecommendationOptions() == null) ? 0 : getRecommendationOptions().hashCode()); hashCode = prime * hashCode + ((getLastRefreshTimestamp() == null) ? 0 : getLastRefreshTimestamp().hashCode()); hashCode = prime * hashCode + ((getCurrentPerformanceRisk() == null) ? 0 : getCurrentPerformanceRisk().hashCode()); hashCode = prime * hashCode + ((getEffectiveRecommendationPreferences() == null) ? 0 : getEffectiveRecommendationPreferences().hashCode()); hashCode = prime * hashCode + ((getInferredWorkloadTypes() == null) ? 0 : getInferredWorkloadTypes().hashCode()); return hashCode; } @Override public AutoScalingGroupRecommendation clone() { try { return (AutoScalingGroupRecommendation) super.clone(); } catch (CloneNotSupportedException e) { throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e); } } @com.amazonaws.annotation.SdkInternalApi @Override public void marshall(ProtocolMarshaller protocolMarshaller) { com.amazonaws.services.computeoptimizer.model.transform.AutoScalingGroupRecommendationMarshaller.getInstance().marshall(this, protocolMarshaller); } }