/* * 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 Amazon ECS service recommendation. *

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

* The Amazon Resource Name (ARN) of the current Amazon ECS service. *

*

* The following is the format of the ARN: *

*

* arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name *

*/ private String serviceArn; /** *

* The Amazon Web Services account ID of the Amazon ECS service. *

*/ private String accountId; /** *

* The configuration of the current Amazon ECS service. *

*/ private ServiceConfiguration currentServiceConfiguration; /** *

* An array of objects that describe the utilization metrics of the Amazon ECS service. *

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

* The number of days the Amazon ECS service utilization metrics were analyzed. *

*/ private Double lookbackPeriodInDays; /** *

* The launch type the Amazon ECS service is using. *

* *

* Compute Optimizer only supports the Fargate launch type. *

* */ private String launchType; /** *

* The timestamp of when the Amazon ECS service recommendation was last generated. *

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

* The finding classification of an Amazon ECS service. *

*

* Findings for Amazon ECS services include: *

* */ private String finding; /** *

* The reason for the finding classification of an Amazon ECS service. *

*

* Finding reason codes for Amazon ECS services include: *

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

* An array of objects that describe the recommendation options for the Amazon ECS service. *

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

* The risk of the current Amazon ECS service not meeting the performance needs of its workloads. The higher the * risk, the more likely the current service can't meet the performance requirements of its workload. *

*/ private String currentPerformanceRisk; /** *

* A list of tags assigned to your Amazon ECS service recommendations. *

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

* The Amazon Resource Name (ARN) of the current Amazon ECS service. *

*

* The following is the format of the ARN: *

*

* arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name *

* * @param serviceArn * The Amazon Resource Name (ARN) of the current Amazon ECS service.

*

* The following is the format of the ARN: *

*

* arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name */ public void setServiceArn(String serviceArn) { this.serviceArn = serviceArn; } /** *

* The Amazon Resource Name (ARN) of the current Amazon ECS service. *

*

* The following is the format of the ARN: *

*

* arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name *

* * @return The Amazon Resource Name (ARN) of the current Amazon ECS service.

*

* The following is the format of the ARN: *

*

* arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name */ public String getServiceArn() { return this.serviceArn; } /** *

* The Amazon Resource Name (ARN) of the current Amazon ECS service. *

*

* The following is the format of the ARN: *

*

* arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name *

* * @param serviceArn * The Amazon Resource Name (ARN) of the current Amazon ECS service.

*

* The following is the format of the ARN: *

*

* arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name * @return Returns a reference to this object so that method calls can be chained together. */ public ECSServiceRecommendation withServiceArn(String serviceArn) { setServiceArn(serviceArn); return this; } /** *

* The Amazon Web Services account ID of the Amazon ECS service. *

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

* The Amazon Web Services account ID of the Amazon ECS service. *

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

* The Amazon Web Services account ID of the Amazon ECS service. *

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

* The configuration of the current Amazon ECS service. *

* * @param currentServiceConfiguration * The configuration of the current Amazon ECS service. */ public void setCurrentServiceConfiguration(ServiceConfiguration currentServiceConfiguration) { this.currentServiceConfiguration = currentServiceConfiguration; } /** *

* The configuration of the current Amazon ECS service. *

* * @return The configuration of the current Amazon ECS service. */ public ServiceConfiguration getCurrentServiceConfiguration() { return this.currentServiceConfiguration; } /** *

* The configuration of the current Amazon ECS service. *

* * @param currentServiceConfiguration * The configuration of the current Amazon ECS service. * @return Returns a reference to this object so that method calls can be chained together. */ public ECSServiceRecommendation withCurrentServiceConfiguration(ServiceConfiguration currentServiceConfiguration) { setCurrentServiceConfiguration(currentServiceConfiguration); return this; } /** *

* An array of objects that describe the utilization metrics of the Amazon ECS service. *

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

* An array of objects that describe the utilization metrics of the Amazon ECS service. *

* * @param utilizationMetrics * An array of objects that describe the utilization metrics of the Amazon ECS service. */ 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 Amazon ECS service. *

*

* 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 Amazon ECS service. * @return Returns a reference to this object so that method calls can be chained together. */ public ECSServiceRecommendation withUtilizationMetrics(ECSServiceUtilizationMetric... utilizationMetrics) { if (this.utilizationMetrics == null) { setUtilizationMetrics(new java.util.ArrayList(utilizationMetrics.length)); } for (ECSServiceUtilizationMetric ele : utilizationMetrics) { this.utilizationMetrics.add(ele); } return this; } /** *

* An array of objects that describe the utilization metrics of the Amazon ECS service. *

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

* The number of days the Amazon ECS service utilization metrics were analyzed. *

* * @param lookbackPeriodInDays * The number of days the Amazon ECS service utilization metrics were analyzed. */ public void setLookbackPeriodInDays(Double lookbackPeriodInDays) { this.lookbackPeriodInDays = lookbackPeriodInDays; } /** *

* The number of days the Amazon ECS service utilization metrics were analyzed. *

* * @return The number of days the Amazon ECS service utilization metrics were analyzed. */ public Double getLookbackPeriodInDays() { return this.lookbackPeriodInDays; } /** *

* The number of days the Amazon ECS service utilization metrics were analyzed. *

* * @param lookbackPeriodInDays * The number of days the Amazon ECS service utilization metrics were analyzed. * @return Returns a reference to this object so that method calls can be chained together. */ public ECSServiceRecommendation withLookbackPeriodInDays(Double lookbackPeriodInDays) { setLookbackPeriodInDays(lookbackPeriodInDays); return this; } /** *

* The launch type the Amazon ECS service is using. *

* *

* Compute Optimizer only supports the Fargate launch type. *

* * * @param launchType * The launch type the Amazon ECS service is using.

*

* Compute Optimizer only supports the Fargate launch type. *

* @see ECSServiceLaunchType */ public void setLaunchType(String launchType) { this.launchType = launchType; } /** *

* The launch type the Amazon ECS service is using. *

* *

* Compute Optimizer only supports the Fargate launch type. *

* * * @return The launch type the Amazon ECS service is using.

*

* Compute Optimizer only supports the Fargate launch type. *

* @see ECSServiceLaunchType */ public String getLaunchType() { return this.launchType; } /** *

* The launch type the Amazon ECS service is using. *

* *

* Compute Optimizer only supports the Fargate launch type. *

* * * @param launchType * The launch type the Amazon ECS service is using.

*

* Compute Optimizer only supports the Fargate launch type. *

* @return Returns a reference to this object so that method calls can be chained together. * @see ECSServiceLaunchType */ public ECSServiceRecommendation withLaunchType(String launchType) { setLaunchType(launchType); return this; } /** *

* The launch type the Amazon ECS service is using. *

* *

* Compute Optimizer only supports the Fargate launch type. *

* * * @param launchType * The launch type the Amazon ECS service is using.

*

* Compute Optimizer only supports the Fargate launch type. *

* @return Returns a reference to this object so that method calls can be chained together. * @see ECSServiceLaunchType */ public ECSServiceRecommendation withLaunchType(ECSServiceLaunchType launchType) { this.launchType = launchType.toString(); return this; } /** *

* The timestamp of when the Amazon ECS service recommendation was last generated. *

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

* The timestamp of when the Amazon ECS service recommendation was last generated. *

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

* The timestamp of when the Amazon ECS service recommendation was last generated. *

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

* The finding classification of an Amazon ECS service. *

*

* Findings for Amazon ECS services include: *

*
    *
  • *

    * Underprovisioned — When Compute Optimizer detects that there’s not enough memory or CPU, an * Amazon ECS service is considered under-provisioned. An under-provisioned service might result in poor application * performance. *

    *
    • *
  • *

    * Overprovisioned — When Compute Optimizer detects that there’s excessive memory or CPU, an * Amazon ECS service is considered over-provisioned. An over-provisioned service might result in additional * infrastructure costs. *

    *
    • *
  • *

    * Optimized — When both the CPU and memory of your Amazon ECS service meet the performance * requirements of your workload, the service is considered optimized. *

    *
    • *
* * @param finding * The finding classification of an Amazon ECS service.

*

* Findings for Amazon ECS services include: *

*
    *
  • *

    * Underprovisioned — When Compute Optimizer detects that there’s not enough memory or * CPU, an Amazon ECS service is considered under-provisioned. An under-provisioned service might result in * poor application performance. *

    *
    • *
  • *

    * Overprovisioned — When Compute Optimizer detects that there’s excessive memory or * CPU, an Amazon ECS service is considered over-provisioned. An over-provisioned service might result in * additional infrastructure costs. *

    *
    • *
  • *

    * Optimized — When both the CPU and memory of your Amazon ECS service meet the * performance requirements of your workload, the service is considered optimized. *

    *
    • * @see ECSServiceRecommendationFinding */ public void setFinding(String finding) { this.finding = finding; } /** *

    * The finding classification of an Amazon ECS service. *

    *

    * Findings for Amazon ECS services include: *

    *
      *
    • *

      * Underprovisioned — When Compute Optimizer detects that there’s not enough memory or CPU, an * Amazon ECS service is considered under-provisioned. An under-provisioned service might result in poor application * performance. *

      *
      • *
    • *

      * Overprovisioned — When Compute Optimizer detects that there’s excessive memory or CPU, an * Amazon ECS service is considered over-provisioned. An over-provisioned service might result in additional * infrastructure costs. *

      *
      • *
    • *

      * Optimized — When both the CPU and memory of your Amazon ECS service meet the performance * requirements of your workload, the service is considered optimized. *

      *
      • *
    * * @return The finding classification of an Amazon ECS service.

    *

    * Findings for Amazon ECS services include: *

    *
      *
    • *

      * Underprovisioned — When Compute Optimizer detects that there’s not enough memory or * CPU, an Amazon ECS service is considered under-provisioned. An under-provisioned service might result in * poor application performance. *

      *
      • *
    • *

      * Overprovisioned — When Compute Optimizer detects that there’s excessive memory or * CPU, an Amazon ECS service is considered over-provisioned. An over-provisioned service might result in * additional infrastructure costs. *

      *
      • *
    • *

      * Optimized — When both the CPU and memory of your Amazon ECS service meet the * performance requirements of your workload, the service is considered optimized. *

      *
      • * @see ECSServiceRecommendationFinding */ public String getFinding() { return this.finding; } /** *

      * The finding classification of an Amazon ECS service. *

      *

      * Findings for Amazon ECS services include: *

      *
        *
      • *

        * Underprovisioned — When Compute Optimizer detects that there’s not enough memory or CPU, an * Amazon ECS service is considered under-provisioned. An under-provisioned service might result in poor application * performance. *

        *
        • *
      • *

        * Overprovisioned — When Compute Optimizer detects that there’s excessive memory or CPU, an * Amazon ECS service is considered over-provisioned. An over-provisioned service might result in additional * infrastructure costs. *

        *
        • *
      • *

        * Optimized — When both the CPU and memory of your Amazon ECS service meet the performance * requirements of your workload, the service is considered optimized. *

        *
        • *
      * * @param finding * The finding classification of an Amazon ECS service.

      *

      * Findings for Amazon ECS services include: *

      *
        *
      • *

        * Underprovisioned — When Compute Optimizer detects that there’s not enough memory or * CPU, an Amazon ECS service is considered under-provisioned. An under-provisioned service might result in * poor application performance. *

        *
        • *
      • *

        * Overprovisioned — When Compute Optimizer detects that there’s excessive memory or * CPU, an Amazon ECS service is considered over-provisioned. An over-provisioned service might result in * additional infrastructure costs. *

        *
        • *
      • *

        * Optimized — When both the CPU and memory of your Amazon ECS service meet the * performance requirements of your workload, the service is considered optimized. *

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

        * The finding classification of an Amazon ECS service. *

        *

        * Findings for Amazon ECS services include: *

        *
          *
        • *

          * Underprovisioned — When Compute Optimizer detects that there’s not enough memory or CPU, an * Amazon ECS service is considered under-provisioned. An under-provisioned service might result in poor application * performance. *

          *
          • *
        • *

          * Overprovisioned — When Compute Optimizer detects that there’s excessive memory or CPU, an * Amazon ECS service is considered over-provisioned. An over-provisioned service might result in additional * infrastructure costs. *

          *
          • *
        • *

          * Optimized — When both the CPU and memory of your Amazon ECS service meet the performance * requirements of your workload, the service is considered optimized. *

          *
          • *
        * * @param finding * The finding classification of an Amazon ECS service.

        *

        * Findings for Amazon ECS services include: *

        *
          *
        • *

          * Underprovisioned — When Compute Optimizer detects that there’s not enough memory or * CPU, an Amazon ECS service is considered under-provisioned. An under-provisioned service might result in * poor application performance. *

          *
          • *
        • *

          * Overprovisioned — When Compute Optimizer detects that there’s excessive memory or * CPU, an Amazon ECS service is considered over-provisioned. An over-provisioned service might result in * additional infrastructure costs. *

          *
          • *
        • *

          * Optimized — When both the CPU and memory of your Amazon ECS service meet the * performance requirements of your workload, the service is considered optimized. *

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

          * The reason for the finding classification of an Amazon ECS service. *

          *

          * Finding reason codes for Amazon ECS services include: *

          *
            *
          • *

            * CPUUnderprovisioned — The service CPU configuration can be sized up to enhance the * performance of your workload. This is identified by analyzing the CPUUtilization metric of the * current service during the look-back period. *

            *
            • *
          • *

            * CPUOverprovisioned — The service CPU configuration can be sized down while still meeting * the performance requirements of your workload. This is identified by analyzing the CPUUtilization * metric of the current service during the look-back period. *

            *
            • *
          • *

            * MemoryUnderprovisioned — The service memory configuration can be sized up to enhance the * performance of your workload. This is identified by analyzing the MemoryUtilization metric of the * current service during the look-back period. *

            *
            • *
          • *

            * MemoryOverprovisioned — The service memory configuration can be sized down while still * meeting the performance requirements of your workload. This is identified by analyzing the * MemoryUtilization metric of the current service during the look-back period. *

            *
            • *
          * * @return The reason for the finding classification of an Amazon ECS service.

          *

          * Finding reason codes for Amazon ECS services include: *

          *
            *
          • *

            * CPUUnderprovisioned — The service CPU configuration can be sized up to enhance the * performance of your workload. This is identified by analyzing the CPUUtilization metric of * the current service during the look-back period. *

            *
            • *
          • *

            * CPUOverprovisioned — The service CPU configuration can be sized down while still * meeting the performance requirements of your workload. This is identified by analyzing the * CPUUtilization metric of the current service during the look-back period. *

            *
            • *
          • *

            * MemoryUnderprovisioned — The service memory configuration can be sized up to * enhance the performance of your workload. This is identified by analyzing the * MemoryUtilization metric of the current service during the look-back period. *

            *
            • *
          • *

            * MemoryOverprovisioned — The service memory configuration can be sized down while * still meeting the performance requirements of your workload. This is identified by analyzing the * MemoryUtilization metric of the current service during the look-back period. *

            *
            • * @see ECSServiceRecommendationFindingReasonCode */ public java.util.List getFindingReasonCodes() { return findingReasonCodes; } /** *

            * The reason for the finding classification of an Amazon ECS service. *

            *

            * Finding reason codes for Amazon ECS services include: *

            *
              *
            • *

              * CPUUnderprovisioned — The service CPU configuration can be sized up to enhance the * performance of your workload. This is identified by analyzing the CPUUtilization metric of the * current service during the look-back period. *

              *
              • *
            • *

              * CPUOverprovisioned — The service CPU configuration can be sized down while still meeting * the performance requirements of your workload. This is identified by analyzing the CPUUtilization * metric of the current service during the look-back period. *

              *
              • *
            • *

              * MemoryUnderprovisioned — The service memory configuration can be sized up to enhance the * performance of your workload. This is identified by analyzing the MemoryUtilization metric of the * current service during the look-back period. *

              *
              • *
            • *

              * MemoryOverprovisioned — The service memory configuration can be sized down while still * meeting the performance requirements of your workload. This is identified by analyzing the * MemoryUtilization metric of the current service during the look-back period. *

              *
              • *
            * * @param findingReasonCodes * The reason for the finding classification of an Amazon ECS service.

            *

            * Finding reason codes for Amazon ECS services include: *

            *
              *
            • *

              * CPUUnderprovisioned — The service CPU configuration can be sized up to enhance the * performance of your workload. This is identified by analyzing the CPUUtilization metric of * the current service during the look-back period. *

              *
              • *
            • *

              * CPUOverprovisioned — The service CPU configuration can be sized down while still * meeting the performance requirements of your workload. This is identified by analyzing the * CPUUtilization metric of the current service during the look-back period. *

              *
              • *
            • *

              * MemoryUnderprovisioned — The service memory configuration can be sized up to enhance * the performance of your workload. This is identified by analyzing the MemoryUtilization * metric of the current service during the look-back period. *

              *
              • *
            • *

              * MemoryOverprovisioned — The service memory configuration can be sized down while * still meeting the performance requirements of your workload. This is identified by analyzing the * MemoryUtilization metric of the current service during the look-back period. *

              *
              • * @see ECSServiceRecommendationFindingReasonCode */ public void setFindingReasonCodes(java.util.Collection findingReasonCodes) { if (findingReasonCodes == null) { this.findingReasonCodes = null; return; } this.findingReasonCodes = new java.util.ArrayList(findingReasonCodes); } /** *

              * The reason for the finding classification of an Amazon ECS service. *

              *

              * Finding reason codes for Amazon ECS services include: *

              *
                *
              • *

                * CPUUnderprovisioned — The service CPU configuration can be sized up to enhance the * performance of your workload. This is identified by analyzing the CPUUtilization metric of the * current service during the look-back period. *

                *
                • *
              • *

                * CPUOverprovisioned — The service CPU configuration can be sized down while still meeting * the performance requirements of your workload. This is identified by analyzing the CPUUtilization * metric of the current service during the look-back period. *

                *
                • *
              • *

                * MemoryUnderprovisioned — The service memory configuration can be sized up to enhance the * performance of your workload. This is identified by analyzing the MemoryUtilization metric of the * current service during the look-back period. *

                *
                • *
              • *

                * MemoryOverprovisioned — The service memory configuration can be sized down while still * meeting the performance requirements of your workload. This is identified by analyzing the * MemoryUtilization metric of the current service during the look-back period. *

                *
                • *
              *

              * NOTE: This method appends the values to the existing list (if any). Use * {@link #setFindingReasonCodes(java.util.Collection)} or {@link #withFindingReasonCodes(java.util.Collection)} if * you want to override the existing values. *

              * * @param findingReasonCodes * The reason for the finding classification of an Amazon ECS service.

              *

              * Finding reason codes for Amazon ECS services include: *

              *
                *
              • *

                * CPUUnderprovisioned — The service CPU configuration can be sized up to enhance the * performance of your workload. This is identified by analyzing the CPUUtilization metric of * the current service during the look-back period. *

                *
                • *
              • *

                * CPUOverprovisioned — The service CPU configuration can be sized down while still * meeting the performance requirements of your workload. This is identified by analyzing the * CPUUtilization metric of the current service during the look-back period. *

                *
                • *
              • *

                * MemoryUnderprovisioned — The service memory configuration can be sized up to enhance * the performance of your workload. This is identified by analyzing the MemoryUtilization * metric of the current service during the look-back period. *

                *
                • *
              • *

                * MemoryOverprovisioned — The service memory configuration can be sized down while * still meeting the performance requirements of your workload. This is identified by analyzing the * MemoryUtilization metric of the current service during the look-back period. *

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

                * The reason for the finding classification of an Amazon ECS service. *

                *

                * Finding reason codes for Amazon ECS services include: *

                *
                  *
                • *

                  * CPUUnderprovisioned — The service CPU configuration can be sized up to enhance the * performance of your workload. This is identified by analyzing the CPUUtilization metric of the * current service during the look-back period. *

                  *
                  • *
                • *

                  * CPUOverprovisioned — The service CPU configuration can be sized down while still meeting * the performance requirements of your workload. This is identified by analyzing the CPUUtilization * metric of the current service during the look-back period. *

                  *
                  • *
                • *

                  * MemoryUnderprovisioned — The service memory configuration can be sized up to enhance the * performance of your workload. This is identified by analyzing the MemoryUtilization metric of the * current service during the look-back period. *

                  *
                  • *
                • *

                  * MemoryOverprovisioned — The service memory configuration can be sized down while still * meeting the performance requirements of your workload. This is identified by analyzing the * MemoryUtilization metric of the current service during the look-back period. *

                  *
                  • *
                * * @param findingReasonCodes * The reason for the finding classification of an Amazon ECS service.

                *

                * Finding reason codes for Amazon ECS services include: *

                *
                  *
                • *

                  * CPUUnderprovisioned — The service CPU configuration can be sized up to enhance the * performance of your workload. This is identified by analyzing the CPUUtilization metric of * the current service during the look-back period. *

                  *
                  • *
                • *

                  * CPUOverprovisioned — The service CPU configuration can be sized down while still * meeting the performance requirements of your workload. This is identified by analyzing the * CPUUtilization metric of the current service during the look-back period. *

                  *
                  • *
                • *

                  * MemoryUnderprovisioned — The service memory configuration can be sized up to enhance * the performance of your workload. This is identified by analyzing the MemoryUtilization * metric of the current service during the look-back period. *

                  *
                  • *
                • *

                  * MemoryOverprovisioned — The service memory configuration can be sized down while * still meeting the performance requirements of your workload. This is identified by analyzing the * MemoryUtilization metric of the current service during the look-back period. *

                  *
                  • * @return Returns a reference to this object so that method calls can be chained together. * @see ECSServiceRecommendationFindingReasonCode */ public ECSServiceRecommendation withFindingReasonCodes(java.util.Collection findingReasonCodes) { setFindingReasonCodes(findingReasonCodes); return this; } /** *

                  * The reason for the finding classification of an Amazon ECS service. *

                  *

                  * Finding reason codes for Amazon ECS services include: *

                  *
                    *
                  • *

                    * CPUUnderprovisioned — The service CPU configuration can be sized up to enhance the * performance of your workload. This is identified by analyzing the CPUUtilization metric of the * current service during the look-back period. *

                    *
                    • *
                  • *

                    * CPUOverprovisioned — The service CPU configuration can be sized down while still meeting * the performance requirements of your workload. This is identified by analyzing the CPUUtilization * metric of the current service during the look-back period. *

                    *
                    • *
                  • *

                    * MemoryUnderprovisioned — The service memory configuration can be sized up to enhance the * performance of your workload. This is identified by analyzing the MemoryUtilization metric of the * current service during the look-back period. *

                    *
                    • *
                  • *

                    * MemoryOverprovisioned — The service memory configuration can be sized down while still * meeting the performance requirements of your workload. This is identified by analyzing the * MemoryUtilization metric of the current service during the look-back period. *

                    *
                    • *
                  * * @param findingReasonCodes * The reason for the finding classification of an Amazon ECS service.

                  *

                  * Finding reason codes for Amazon ECS services include: *

                  *
                    *
                  • *

                    * CPUUnderprovisioned — The service CPU configuration can be sized up to enhance the * performance of your workload. This is identified by analyzing the CPUUtilization metric of * the current service during the look-back period. *

                    *
                    • *
                  • *

                    * CPUOverprovisioned — The service CPU configuration can be sized down while still * meeting the performance requirements of your workload. This is identified by analyzing the * CPUUtilization metric of the current service during the look-back period. *

                    *
                    • *
                  • *

                    * MemoryUnderprovisioned — The service memory configuration can be sized up to enhance * the performance of your workload. This is identified by analyzing the MemoryUtilization * metric of the current service during the look-back period. *

                    *
                    • *
                  • *

                    * MemoryOverprovisioned — The service memory configuration can be sized down while * still meeting the performance requirements of your workload. This is identified by analyzing the * MemoryUtilization metric of the current service during the look-back period. *

                    *
                    • * @return Returns a reference to this object so that method calls can be chained together. * @see ECSServiceRecommendationFindingReasonCode */ public ECSServiceRecommendation withFindingReasonCodes(ECSServiceRecommendationFindingReasonCode... findingReasonCodes) { java.util.ArrayList findingReasonCodesCopy = new java.util.ArrayList(findingReasonCodes.length); for (ECSServiceRecommendationFindingReasonCode value : findingReasonCodes) { findingReasonCodesCopy.add(value.toString()); } if (getFindingReasonCodes() == null) { setFindingReasonCodes(findingReasonCodesCopy); } else { getFindingReasonCodes().addAll(findingReasonCodesCopy); } return this; } /** *

                    * An array of objects that describe the recommendation options for the Amazon ECS service. *

                    * * @return An array of objects that describe the recommendation options for the Amazon ECS service. */ public java.util.List getServiceRecommendationOptions() { return serviceRecommendationOptions; } /** *

                    * An array of objects that describe the recommendation options for the Amazon ECS service. *

                    * * @param serviceRecommendationOptions * An array of objects that describe the recommendation options for the Amazon ECS service. */ public void setServiceRecommendationOptions(java.util.Collection serviceRecommendationOptions) { if (serviceRecommendationOptions == null) { this.serviceRecommendationOptions = null; return; } this.serviceRecommendationOptions = new java.util.ArrayList(serviceRecommendationOptions); } /** *

                    * An array of objects that describe the recommendation options for the Amazon ECS service. *

                    *

                    * NOTE: This method appends the values to the existing list (if any). Use * {@link #setServiceRecommendationOptions(java.util.Collection)} or * {@link #withServiceRecommendationOptions(java.util.Collection)} if you want to override the existing values. *

                    * * @param serviceRecommendationOptions * An array of objects that describe the recommendation options for the Amazon ECS service. * @return Returns a reference to this object so that method calls can be chained together. */ public ECSServiceRecommendation withServiceRecommendationOptions(ECSServiceRecommendationOption... serviceRecommendationOptions) { if (this.serviceRecommendationOptions == null) { setServiceRecommendationOptions(new java.util.ArrayList(serviceRecommendationOptions.length)); } for (ECSServiceRecommendationOption ele : serviceRecommendationOptions) { this.serviceRecommendationOptions.add(ele); } return this; } /** *

                    * An array of objects that describe the recommendation options for the Amazon ECS service. *

                    * * @param serviceRecommendationOptions * An array of objects that describe the recommendation options for the Amazon ECS service. * @return Returns a reference to this object so that method calls can be chained together. */ public ECSServiceRecommendation withServiceRecommendationOptions(java.util.Collection serviceRecommendationOptions) { setServiceRecommendationOptions(serviceRecommendationOptions); return this; } /** *

                    * The risk of the current Amazon ECS service not meeting the performance needs of its workloads. The higher the * risk, the more likely the current service can't meet the performance requirements of its workload. *

                    * * @param currentPerformanceRisk * The risk of the current Amazon ECS service not meeting the performance needs of its workloads. The higher * the risk, the more likely the current service can't meet the performance requirements of its workload. * @see CurrentPerformanceRisk */ public void setCurrentPerformanceRisk(String currentPerformanceRisk) { this.currentPerformanceRisk = currentPerformanceRisk; } /** *

                    * The risk of the current Amazon ECS service not meeting the performance needs of its workloads. The higher the * risk, the more likely the current service can't meet the performance requirements of its workload. *

                    * * @return The risk of the current Amazon ECS service not meeting the performance needs of its workloads. The higher * the risk, the more likely the current service can't meet the performance requirements of its workload. * @see CurrentPerformanceRisk */ public String getCurrentPerformanceRisk() { return this.currentPerformanceRisk; } /** *

                    * The risk of the current Amazon ECS service not meeting the performance needs of its workloads. The higher the * risk, the more likely the current service can't meet the performance requirements of its workload. *

                    * * @param currentPerformanceRisk * The risk of the current Amazon ECS service not meeting the performance needs of its workloads. The higher * the risk, the more likely the current service can't meet the performance requirements of its workload. * @return Returns a reference to this object so that method calls can be chained together. * @see CurrentPerformanceRisk */ public ECSServiceRecommendation withCurrentPerformanceRisk(String currentPerformanceRisk) { setCurrentPerformanceRisk(currentPerformanceRisk); return this; } /** *

                    * The risk of the current Amazon ECS service not meeting the performance needs of its workloads. The higher the * risk, the more likely the current service can't meet the performance requirements of its workload. *

                    * * @param currentPerformanceRisk * The risk of the current Amazon ECS service not meeting the performance needs of its workloads. The higher * the risk, the more likely the current service can't meet the performance requirements of its workload. * @return Returns a reference to this object so that method calls can be chained together. * @see CurrentPerformanceRisk */ public ECSServiceRecommendation withCurrentPerformanceRisk(CurrentPerformanceRisk currentPerformanceRisk) { this.currentPerformanceRisk = currentPerformanceRisk.toString(); return this; } /** *

                    * A list of tags assigned to your Amazon ECS service recommendations. *

                    * * @return A list of tags assigned to your Amazon ECS service recommendations. */ public java.util.List getTags() { return tags; } /** *

                    * A list of tags assigned to your Amazon ECS service recommendations. *

                    * * @param tags * A list of tags assigned to your Amazon ECS service recommendations. */ public void setTags(java.util.Collection tags) { if (tags == null) { this.tags = null; return; } this.tags = new java.util.ArrayList(tags); } /** *

                    * A list of tags assigned to your Amazon ECS service recommendations. *

                    *

                    * NOTE: This method appends the values to the existing list (if any). Use * {@link #setTags(java.util.Collection)} or {@link #withTags(java.util.Collection)} if you want to override the * existing values. *

                    * * @param tags * A list of tags assigned to your Amazon ECS service recommendations. * @return Returns a reference to this object so that method calls can be chained together. */ public ECSServiceRecommendation withTags(Tag... tags) { if (this.tags == null) { setTags(new java.util.ArrayList(tags.length)); } for (Tag ele : tags) { this.tags.add(ele); } return this; } /** *

                    * A list of tags assigned to your Amazon ECS service recommendations. *

                    * * @param tags * A list of tags assigned to your Amazon ECS service recommendations. * @return Returns a reference to this object so that method calls can be chained together. */ public ECSServiceRecommendation withTags(java.util.Collection tags) { setTags(tags); 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 (getServiceArn() != null) sb.append("ServiceArn: ").append(getServiceArn()).append(","); if (getAccountId() != null) sb.append("AccountId: ").append(getAccountId()).append(","); if (getCurrentServiceConfiguration() != null) sb.append("CurrentServiceConfiguration: ").append(getCurrentServiceConfiguration()).append(","); if (getUtilizationMetrics() != null) sb.append("UtilizationMetrics: ").append(getUtilizationMetrics()).append(","); if (getLookbackPeriodInDays() != null) sb.append("LookbackPeriodInDays: ").append(getLookbackPeriodInDays()).append(","); if (getLaunchType() != null) sb.append("LaunchType: ").append(getLaunchType()).append(","); if (getLastRefreshTimestamp() != null) sb.append("LastRefreshTimestamp: ").append(getLastRefreshTimestamp()).append(","); if (getFinding() != null) sb.append("Finding: ").append(getFinding()).append(","); if (getFindingReasonCodes() != null) sb.append("FindingReasonCodes: ").append(getFindingReasonCodes()).append(","); if (getServiceRecommendationOptions() != null) sb.append("ServiceRecommendationOptions: ").append(getServiceRecommendationOptions()).append(","); if (getCurrentPerformanceRisk() != null) sb.append("CurrentPerformanceRisk: ").append(getCurrentPerformanceRisk()).append(","); if (getTags() != null) sb.append("Tags: ").append(getTags()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof ECSServiceRecommendation == false) return false; ECSServiceRecommendation other = (ECSServiceRecommendation) obj; if (other.getServiceArn() == null ^ this.getServiceArn() == null) return false; if (other.getServiceArn() != null && other.getServiceArn().equals(this.getServiceArn()) == false) return false; if (other.getAccountId() == null ^ this.getAccountId() == null) return false; if (other.getAccountId() != null && other.getAccountId().equals(this.getAccountId()) == false) return false; if (other.getCurrentServiceConfiguration() == null ^ this.getCurrentServiceConfiguration() == null) return false; if (other.getCurrentServiceConfiguration() != null && other.getCurrentServiceConfiguration().equals(this.getCurrentServiceConfiguration()) == 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.getLaunchType() == null ^ this.getLaunchType() == null) return false; if (other.getLaunchType() != null && other.getLaunchType().equals(this.getLaunchType()) == 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.getFinding() == null ^ this.getFinding() == null) return false; if (other.getFinding() != null && other.getFinding().equals(this.getFinding()) == false) return false; if (other.getFindingReasonCodes() == null ^ this.getFindingReasonCodes() == null) return false; if (other.getFindingReasonCodes() != null && other.getFindingReasonCodes().equals(this.getFindingReasonCodes()) == false) return false; if (other.getServiceRecommendationOptions() == null ^ this.getServiceRecommendationOptions() == null) return false; if (other.getServiceRecommendationOptions() != null && other.getServiceRecommendationOptions().equals(this.getServiceRecommendationOptions()) == 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.getTags() == null ^ this.getTags() == null) return false; if (other.getTags() != null && other.getTags().equals(this.getTags()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getServiceArn() == null) ? 0 : getServiceArn().hashCode()); hashCode = prime * hashCode + ((getAccountId() == null) ? 0 : getAccountId().hashCode()); hashCode = prime * hashCode + ((getCurrentServiceConfiguration() == null) ? 0 : getCurrentServiceConfiguration().hashCode()); hashCode = prime * hashCode + ((getUtilizationMetrics() == null) ? 0 : getUtilizationMetrics().hashCode()); hashCode = prime * hashCode + ((getLookbackPeriodInDays() == null) ? 0 : getLookbackPeriodInDays().hashCode()); hashCode = prime * hashCode + ((getLaunchType() == null) ? 0 : getLaunchType().hashCode()); hashCode = prime * hashCode + ((getLastRefreshTimestamp() == null) ? 0 : getLastRefreshTimestamp().hashCode()); hashCode = prime * hashCode + ((getFinding() == null) ? 0 : getFinding().hashCode()); hashCode = prime * hashCode + ((getFindingReasonCodes() == null) ? 0 : getFindingReasonCodes().hashCode()); hashCode = prime * hashCode + ((getServiceRecommendationOptions() == null) ? 0 : getServiceRecommendationOptions().hashCode()); hashCode = prime * hashCode + ((getCurrentPerformanceRisk() == null) ? 0 : getCurrentPerformanceRisk().hashCode()); hashCode = prime * hashCode + ((getTags() == null) ? 0 : getTags().hashCode()); return hashCode; } @Override public ECSServiceRecommendation clone() { try { return (ECSServiceRecommendation) 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.ECSServiceRecommendationMarshaller.getInstance().marshall(this, protocolMarshaller); } }