StepScalingPolicyConfiguration clone() boolean equals(Object obj) String getAdjustmentType() Specifies how the ScalingAdjustment value in a StepAdjustment is interpreted (for example, an absolute number or a percentage). Integer getCooldown() The amount of time,...
- Step Scaling 5. 多个 Dynamic scaling policy 一起工作 - 后记 EC2 Auto Scaling Dynamic scaling 介绍 1. Dynamic scaling policy 如何工作 使用Dynamic scaling(动态伸缩)时,需要先创建 Dynamic scaling policy。 一条Dynamic scaling policy 用来指导 EC2 Auto Scaling 跟踪特定的 CloudWatch metric(比如 CPU 利...
DynamicScalingOutSuspended: false ScheduledScalingSuspended: false ScalingOutPolicy: DependsOn: - ScalableTarget Type: AWS::ApplicationAutoScaling::ScalingPolicy Properties: PolicyName: !Sub "${AWS::StackName}-scale-out" PolicyType: StepScaling ScalingTargetId: !Ref ScalableTarget StepScalingPolicy...
aws_autoscaling Overview Constructs AutoScalingGroup LifecycleHook ScheduledAction StepScalingAction StepScalingPolicy TargetTrackingScalingPolicy WarmPool Classes AutoScalingGroupRequireImdsv2Aspect BlockDeviceVolume GroupMetric GroupMetrics HealthCheck ScalingEvents Schedule Signals UpdatePolicy Structs AdjustmentTier ...
EC2 Auto Scaling会根据设定的metric和目标阈值自动创建CloudWatch alarms,这个alarms会用来触发asg的伸缩策略,并且计算伸缩的程度。 Target tracking与《一文搞懂 AWS EC2 Auto Scaling Dynamic scaling 理论篇》中介绍的Step Scaling的最主要区别是,前者只需要设定一个目标阈值即可,而后者则需要分段设置多个阈值并且需要为...
To create a step scaling policy Withstep scaling, you choose scaling metrics and threshold values for the CloudWatch alarms that trigger the scaling process. You also define how your Auto Scaling group should be scaled when a threshold is breached for a specified number of evaluation periods...
如果熟悉auto scaling group的话,可以看见我创建的这个policy过于简单,缺少一个alarm的触发器。 为什么呢,这是因为我没有指定他的policytype,默认的情况下是作为simpleScaling来处理的。 如果希望设置成动态的变化,需要指定类型为StepScaling, 然后在CloudWatch里面创建对应的Alarm,然后将Alarm绑定到指定的AutoScalingGroup里...
resource/aws_autoscaling_policy: Properly read step_adjustment into Terraform state (#7336) resource/aws_emr_cluster: Fix regression with instance_group differences when using name (#7324) resource/aws_iot_topic_rule: Prevent panic with missing SQS UseBase64 attribute in API response (#7337) res...
It automates the deployment, scaling, and management of containerized applications. Kubernetes organizes containers into groups called “pods” and manages them using a declarative approach, where users define the desired state of the application, and Kubernetes works to maintain that state. Key ...
autoscaling_max_capacity Maximum number of instances to be maintained by the autoscaler number 5 no autoscaling_min_capacity Minimum number of instances to be maintained by the autoscaler number 1 no autoscaling_policy_type Autoscaling policy type. TargetTrackingScaling and StepScaling are supported ...