autoscaling is enabled through
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AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.
It’s easy to get started with AWS Auto Scaling using the AWS Management Console, Command Line Interface (CLI), or SDK. AWS Auto Scaling is available at no additional charge. You pay only for the AWS resources needed to run your applications and Amazon CloudWatchmonitoring fees.
It’s easy to get started with AWS Auto Scaling using the AWS Management Console, Command Line Interface (CLI), or SDK. AWS Auto Scaling is available at no additional charge. You pay only for the AWS resources needed to run your applications and Amazon CloudWatchmonitoring fees.
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In Cloud computing, Scalability is an important feature.
Auto-scaling is a measure taken automatically to reduce or increase the resources in cloud computing based on the need or usage. During times of low load, additional server is terminated for a while and then restarted at the time of more load.
It can be done either in front-end or back end. Also, auto-scaling is enabled with approaches like horizontal and vertical scaling.
This feature is mostly offered by cloud computing servers like Amazon Web Services(AWS), Google Cloud Platform, etc, where the user can enable or disable the feature based on the need.
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