ECS Services and Application Auto Scaling Auto Scaling

You can choose to configure the service to use Amazon ECS services Auto Scaling to automatically raised or lowered its expected number. Service Application Auto Scaling Auto Scaling use the service to provide this functionality. Auto Scaling service available in all areas of the Amazon ECS support. For more information, see " the Application Auto Scaling User's Guide ."

Amazon ECS services Auto Scaling supports the following types of expansion strategy:

  • Tracking expansion strategy - according to target specific CloudWatch metrics, increase or decrease the number of services running tasks. This is similar to a thermostat to keep the temperature of the way home. You select a temperature, the thermostat will do all the other work.

  • Stepping expansion strategy - to increase or decrease the number of tasks CloudWatch service in response to an alarm and running. Stepping expansion based on a set adjustment extension (referred to step adjustment), adjusted for the different size violation alerts.

What is Application Auto Scaling?

Application Auto Scaling allows you to automatically expand the following resources:

  • Amazon ECS services

  • Spot queue request

  • Amazon EMR cluster

  • AppStream 2.0 queue

  • DynamoDB tables and global secondary indexes

  • Aurora copies

  • Amazon SageMaker terminal node variants

  • Customize your own resources by the application or service provided.

Application Auto Scaling function

Application Auto Scaling allows you to automatically extend scalability of resources based on criteria you define.

  • Target tracking extension - expansion of resources according to target specific CloudWatch metrics.

  • Extension step - a set of extensions extend resource adjustments, these adjustments vary the size of the violation by the alarm.

  • It plans to expand - expand resources in accordance with the date and time.

To learn more about AWS Application Auto Scaling support services, see the following documents:

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Origin www.cnblogs.com/cloudrivers/p/11258218.html