The architecture of Amazon EC2 Auto Scaling is built around a powerful set of features that provide exceptional control and automation for managing compute capacity.

Its capabilities for dynamic scaling are particularly impressive. The service offers a choice between several scaling policy types, including target tracking, step scaling, and simple scaling, which allows for a highly tailored response to workload fluctuations.

For example, the ability to configure target tracking scaling based on a custom Amazon CloudWatch metric, like the length of a processing queue, offers a far more accurate way to manage capacity compared to relying solely on generic metrics like CPU utilization. This ensures that resources are scaled based on the true demand of the application.

The seamless integration with CloudWatch for triggering these policies provides a robust and responsive mechanism for maintaining steady, predictable performance under varying load conditions.

Another standout feature is predictive scaling, which leverages machine learning algorithms to forecast demand based on historical data. For applications with cyclical or predictable traffic patterns, this proactive approach to capacity management is incredibly effective. It allows the system to provision the necessary EC2 instances before an anticipated traffic increase occurs, effectively eliminating the ramp-up time associated with reactive scaling and ensuring a smooth user experience during peak periods.

The service provides a forecast that can be reviewed and then used to automatically create a scaling schedule, giving a perfect balance of automation and control. This forward-looking approach helps optimize costs by preventing the need for sustained over-provisioning.

The fleet management and self-healing capabilities are fundamental to building resilient and fault-tolerant systems. EC2 Auto Scaling continuously performs health checks on all instances within a group.

If an instance fails a health check, the service automatically terminates it and launches a new one to take its place, ensuring the desired capacity is always maintained.

This automated recovery process is critical for high availability and removes a significant operational burden from engineering teams. It transforms a potentially service-impacting event into a non-issue that is handled without any manual intervention, which is invaluable for maintaining service level objectives.

Finally, the use of Launch Templates for defining instance configurations brings a much-needed level of discipline and flexibility to infrastructure management. Launch Templates support versioning, which makes it straightforward to iterate on configurations, such as testing a new Amazon Machine Image (AMI) or a different instance type. A new version can be created and tested in isolation before being rolled out to production.

The Instance Refresh feature complements this by enabling controlled, rolling updates across the entire fleet, which minimizes risk and prevents downtime during deployments. The ability to quickly roll back to a previous, known-good version of a launch template provides a critical safety net, making the entire process of updating infrastructure safer and more predictable. Review collected by and hosted on G2.com.

I believe the main point of friction with EC2 Auto Scaling is its steep initial learning curve. While the concept is simple, achieving an optimal and cost-efficient configuration can be a complex undertaking, especially for those new to the AWS ecosystem.

I found that it requires a solid understanding of not just Auto Scaling itself, but also of interconnected services like CloudWatch, Identity and Access Management (IAM), and Elastic Load Balancing.

Fine-tuning the scaling policies, selecting the most appropriate metrics to monitor, and setting the right thresholds often involves a period of trial and error that can be both time-consuming and intimidating. Review collected by and hosted on G2.com.

Amazon EC2 Auto Scaling features are simple to use. It seamless resizes to web connection. Integration capabilities are good. It saves your business lots ot time and money. Review collected by and hosted on G2.com.

Price could always be a bit better. Would be better if it can support more types of rules. The support to manage the process could be better too. Alos bit of room for improvment in the scalability Review collected by and hosted on G2.com.

I liked the features they with type of auto scaling i.e Dynamic and predictive. Both work perfectly also the low cost is a plus point, considering the high availability of application in feasible cost. Review collected by and hosted on G2.com.

I haven't found anything while using auto scaling of ec2 for which i can say i disliked that in using the product every thing works fine for me. It does the job which i was looking for. Review collected by and hosted on G2.com.

if we using EC2 auto scallling, it will taking with full care like an AI for our EC2 instance . completely maintains a instance limit and `incoming traffic if we using this.simpl its like a iron man jarvis . Review collected by and hosted on G2.com.

for a very small instance it is no need. because of limited instances we can easily manage by manually. Review collected by and hosted on G2.com.

Cost effective, do not have to manage hundreds of servers, able to manage web traffic effectively Review collected by and hosted on G2.com.

Easy to use features - other software that does the same thing Review collected by and hosted on G2.com.

There are many thing that you can mention as best is autoscaling first thing it scale up and down the resources according to need and condition next it can terminate unhealthy instance and can make another in the replacement and it can monitor the application and send a notification through sms or email about your condition of instance Review collected by and hosted on G2.com.

The only thing which is not good is that it can create complexities on work by increasing configuration or increasing the resources to sync up your project it can be more challenging to update or deploy project after integrating autoscaling Review collected by and hosted on G2.com.

With Amazon EC2 Auto scaling, you are able to effectively manage cost while focusing on other things Review collected by and hosted on G2.com.

Amazon EC2 Auto scaling Need some bits of more automations Review collected by and hosted on G2.com.

alram metric is the biggest advantage, where our project has saved almost a million dollars and our client was so happy! Review collected by and hosted on G2.com.

we dont have suggestion or best practice , where every other user can check if he applies how many instance we need Review collected by and hosted on G2.com.

Easy to use, meets the needs. Very flexible and can scale on custom or default cloudwatch metrics. Review collected by and hosted on G2.com.

Scaling up can someitmes be a bit slow to spin up new instances so you have to leave a bit of leeway or there can be short down time. Review collected by and hosted on G2.com.

It is best to use when we need to scale our resources help to manage the health of instances replace unhealthy instances with e2 instance it make and manage the performance perfectly it also scale up ec2 capacity according to the values or condition we define. It help to monitor the application more accurately through autoscaling we can get notifications as well Review collected by and hosted on G2.com.

After implementation of autoscaling of any kind can make updates deployments or changes more complex and challenging. we need extra services to change code or update or synchronize the projects separately it requires much time to setup and increase complexity Review collected by and hosted on G2.com.