AWS Auto Scaling Reviews

My primary use case for Auto Scaling is mainly to deploy applications at scale.

Auto Scaling has made the deployment of applications more efficient, allowing us to manage traffic and maintain performance as user counts increase.

AWS Auto Scaling is used for managing traffic on EC2 instances. It is particularly utilized for scheduling the start and stop times of EC2 instances to fulfill client requirements, helping to handle peak traffic times and ensuring the developer server, which faces traffic issues in the morning and evening, functions smoothly.

AWS Auto Scaling is very good for managing traffic and creating new instances when necessary. It allows the user experience to be better as AWS users don't face any issues. During peak traffic times, the Auto Scaling group can be deployed to ensure that the client works well, and the traffic remains average.

We use the solution for scenarios where there is a sudden surge in user demand. For example, during major events on TV channels like Star Sports or National Geographic, the number of users can spike dramatically. Similarly, during year-end sales on platforms like Amazon, millions of people log in, causing a significant increase in server requests. 

Therefore, we rely on Auto Scaling to automatically manage these fluctuations by scaling the servers up when there is high demand and scaling down when the demand decreases.

Auto Scaling is essential as it adjusts according to our requirements. As soon as a server hits 80% of its CPU cycle, Auto Scaling will automatically scale additional servers to handle incoming requests. Without it, existing servers might be at risk of crashing due to overload.

We mostly integrate AWS Auto Scaling with CloudWatch monitoring and set a target CPU utilization for some devices. If our application CPU utilization is higher, we scale using the solution, which is very easy.

AWS Auto Scaling is very easy to use. We don't need to worry about any application downtime or lagging. Many users can effortlessly use the application with AWS Auto Scaling. The solution's monitoring effectively monitors our application and CPU utilization.

AWS Auto Scaling is a great service, and it is very helpful in the automatic scaling, upscaling, and downscaling of services.

AWS Auto Scaling is cost-effective and very useful for businesses.

The good thing about Autoscaling is that it provides the capacity to minimize downtime. So, it gives you the assurance of stability and robustness within your system.

We deal with applications – specifically, the ones deployed in the production environment of the cloud. So, the aim is to ensure users don't encounter downtime. Autoscaling comes to the rescue when there's an issue with a particular EC2 instance that's either malfunctioning or completely unavailable. In such cases, when existing instances have problems, we enable Autoscaling to address the situation.

We use AWS Auto Scaling to define the number of instances depending on specific requirements.

We need ten instances during peak hours, but we need only two instances during off hours. We can auto-scale or downscale the number of instances using the product. It helps us to reduce the cost.

We use AWS Auto Scaling for the autoscaling feature. Since we cannot monitor the service all the time, we have an autoscaling feature enabled to detect a sudden load on the application. The application automatically scales based on the load metrics that we set.

The most valuable feature of the solution is that it scales automatically without manual intervention based on the metrics we provide. The solution's user interface is very user-friendly, and you can easily use CLI.