Forecast Accuracy with Amazon EC2 Auto Scaling

Successfully executing projects with Amazon EC2 Auto Scaling is a standard part of our development processes. It allows us to maintain application availability by automatically adding or removing EC2 instances based on predefined conditions.

We’re also seeing continuous improvements in the predictive and auto scaling tools we use. As of last week, Amazon EC2 Auto Scaling can now look back 14 days to generate historical capacity forecasts, enabling us to see how predictive scaling would have scaled an Auto Scaling group during that time.

Predictive Scaling Policy

Now, when the Cloud Levante team creates a new predictive scaling policy, we can quickly validate the accuracy of its forecasts. This allows our clients to immediately determine whether the predictive scaling policy is suitable for their applications by comparing the forecasted demand and capacity against the actual values right after the policy is created.

Previously, we had to wait several days after creating the policy to collect enough forecast history for comparison and to assess forecast accuracy. Integrating Amazon EC2 Auto Scaling into our clients’ application architectures is a strategic way to maximize the benefits of AWS cloud services.

With Amazon EC2 Auto Scaling, we help businesses meet application demand by automatically scaling EC2 instances within an Auto Scaling group based on defined conditions. In addition to offering dynamic scaling policies that respond to real-time demand changes, Auto Scaling also supports predictive scaling policies that proactively adjust the size of an Auto Scaling group in anticipation of predictable demand spikes. This helps ensure high application availability and responsiveness.

At Cloud Levante, we develop projects where predictive scaling identifies recurring traffic peaks—whether monthly, weekly, daily, or hourly. Using Amazon EC2 Auto Scaling, our clients’ applications gain significant advantages.

This allows us to scale the application in advance of expected traffic surges, eliminating the need to overprovision the Auto Scaling group and preventing platform crashes due to overload.

Amazon EC2 Auto Scaling detects unhealthy instances, terminates them, and launches replacements—improving fault tolerance. Businesses also benefit from multiple Availability Zones, ensuring that if one zone becomes unavailable, instances can be launched in another to maintain service continuity.

We make sure each application always has the right capacity to handle current traffic demands. All of this contributes to better cost management. By increasing and decreasing capacity as needed, our clients only pay for the instances they actually use—saving money by launching instances when needed and terminating them when they’re not.