Auto Scaling is a feature that allows organizations to automatically scale up or scale down cloud services, such as server capacities or virtual machines, based on defined situations, such as traffic utilization levels.
Cloud computing providers such as Amazon Web Services offer autoscaling tools.
Check out the main benefits of this strategy below!
Why count on an Auto Scaling service
If you've ever received an "insufficient capacity" error when trying to launch an application, you know the productivity losses and frustration that running out of instances can cause.
But customers who use your apps to shop and employees who need your mission-critical software don't have time to wait for more than one instance type to be available.
You can prevent this issue from recurring with the help of Auto Scaling tools and services.
Three Big Benefits of Auto Scaling
- Cost. When loads are low, autoscaling allows companies to manage their own infrastructure and businesses that rely on cloud infrastructure to put some servers into sleep mode. This reduces electricity and water costs where water is used for cooling. Cloud autoscaling also means paying for full usage rather than maximum capacity.
- Safety. Autoscaling also protects against application, hardware, and network failures by detecting and replacing unhealthy instances while providing application resiliency and availability.
- Availability. Autoscaling improves availability and uptime, especially when production workloads are less predictable.
While many companies have a daily, weekly, or yearly cycle set to track server usage, autoscaling is different in that it reduces the chance of having too many or too few servers for the actual traffic load.
This is because autoscaling responds to actual usage patterns, in contrast to a static scaling solution.
For example, a static scaling solution might rely on the idea that traffic is typically lowest at 2:XNUMX am and cause some servers to go to sleep at that time. However, in practice, there may be spikes at this point—perhaps during a viral news event or other unexpected moments.
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