AWS Auto Scaling Group Scaling Policies: Dynamic, Scheduled, and Predictive Approaches

Managing traffic fluctuations efficiently is a fundamental challenge in cloud infrastructure. AWS Auto Scaling Groups (ASG) provide the perfect solution by automatically adjusting your resources in response to demand. However, effectively configuring the scaling policies is key to ensuring that your application runs optimally while keeping costs in check. In this article, we will explore the various scaling policies available in AWS Auto Scaling Groups and how to use them.

Types of Scaling Policies in Auto Scaling Groups

Auto Scaling Groups offer different scaling policies to cater to various use cases, from dynamically responding to traffic spikes to scaling in anticipation of known traffic patterns. These policies include:

1. Dynamic Scaling
2. Scheduled Scaling
3. Predictive Scaling

Let’s dive into each one and understand how they work.

1. Dynamic Scaling

Dynamic scaling adjusts the number of EC2 instances in your ASG based on real-time metrics collected from your application, such as CPU utilization, network traffic, or custom metrics. There are two primary methods to implement…