From the course: AWS: High Availability
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Understanding scaling policies - Amazon Web Services (AWS) Tutorial
From the course: AWS: High Availability
Understanding scaling policies
- [Instructor] Now that we have an autoscaling group, let's make it react to changes in demand. To do so, we need to understand scaling policies. Simply put, a scaling policy is a tool that programmatically dynamically adjusts the number of instances in an autoscaling group, based on when a user specified metric crosses a user specified threshold. There are three main types of scaling policies. These include target tracking, step and simple. Note that it is also possible to trigger scaling events based on activity in a simple queue services queue. We're going to focus on target tracking, step and simple. A target tracking policy automatically changes the number of running instances based on a specific metric. For example, you could specify a CPU utilization level of 60%. If you did, the 60% represents the target value. Auto-scaling will adjust the number of running instances so that CPU utilization, when aggregated across all…
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Understanding EBS snapshots4m 48s
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Understanding Amazon Machine Images (AMI)3m 35s
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Exploring Amazon Machine Images9m 15s
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Understanding load balancing options3m 29s
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Understanding load balancing features3m 55s
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Creating a target group4m 55s
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Creating an application load balancer4m 27s
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Testing an application load balancer3m 31s
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Understanding Auto Scaling6m 58s
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Creating a launch configuration4m 47s
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Creating a launch template4m 34s
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Creating an Auto Scaling group6m 20s
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Staying alive with Auto Scaling3m 13s
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Understanding scaling policies4m 25s
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Implementing step scaling6m 28s
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Challenge: Scale-in policy44s
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Solution: Scale-in policy4m 25s
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Combining autoscaling and load balancing6m 47s
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Testing autoscaling with load balancing2m 28s
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Decoupling tools3m 39s
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