[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"cheat-sheet---en":3,"domain-info---en":3,"topic-info----en":3,"next-aws-certified-cloudops-engineer-associate-reliability-business-continuity-scaling-compute-workloads-asg-lifecycle-and-instance-refresh-en":4,"prev-aws-certified-cloudops-engineer-associate-reliability-business-continuity-scaling-compute-workloads-asg-lifecycle-and-instance-refresh-en":19,"lesson-aws-certified-cloudops-engineer-associate-reliability-business-continuity-scaling-compute-workloads-asg-lifecycle-and-instance-refresh-en":31},null,{"locked":5,"reason":6,"meta":7,"item":3},true,"paywall",{"title":8,"description":9,"isFree":10,"estimatedMinutes":11,"difficulty":12,"learningObjectives":13},"Scaling Containers and Serverless","What changes when the unit of capacity is a task, a pod, or a request: Application Auto Scaling for ECS services, the second scaling layer under EC2-backed clusters, EKS node scaling, and Lambda concurrency.",false,26,"advanced",[14,15,16,17,18],"Explain what Application Auto Scaling is and which resources it scales","Distinguish ECS service auto scaling from ECS cluster auto scaling and identify which one a symptom points to","Interpret the CapacityProviderReservation metric and the target capacity setting","Compare the EKS scaling layers: Horizontal Pod Autoscaler, Cluster Autoscaler, and Karpenter","Calculate Lambda concurrency and choose between reserved and provisioned concurrency",{"locked":5,"reason":6,"meta":20,"item":3},{"title":21,"description":22,"isFree":10,"estimatedMinutes":23,"difficulty":24,"learningObjectives":25},"Scaling Policies in Depth","Target tracking, step, simple, scheduled, and predictive scaling: what each one decides, the cooldown and warmup timers that hold them back, and how AWS resolves several policies pointing at the same group.",28,"intermediate",[26,27,28,29,30],"Select the right scaling policy type for a given demand pattern and constraint","Explain how a target tracking policy converts a metric into a desired capacity, and which metrics it cannot use","Build a step scaling policy from step adjustments and predict the resulting capacity changes","Distinguish a cooldown period from an instance warmup and state which policy types use each","Describe what predictive scaling forecasts, what it will and will not do, and how it combines with dynamic scaling",{"locked":5,"reason":6,"meta":32,"item":3},{"title":33,"description":34,"isFree":10,"estimatedMinutes":35,"difficulty":12,"learningObjectives":36},"ASG Lifecycle Hooks and Instance Refresh","The states an instance passes through inside an Auto Scaling group, the lifecycle hooks that pause it at launch and termination, warm pools for slow boots, and how instance refresh rolls a new AMI across the fleet without dropping capacity.",27,[37,38,39,40,41],"Trace an instance through the Auto Scaling group lifecycle states, including the wait states a lifecycle hook creates","Configure a lifecycle hook with the right timeout and default result for a launch or termination action","Decide when a warm pool is justified and which instance state to keep the pool in","Use standby and detach to work on an instance without the group replacing it","Set minimum and maximum healthy percentages for an instance refresh to get the replacement behavior you need"]