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AWS Auto Scaling Reviews

Vendor: Amazon Web Services (AWS)
4.4 out of 5
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What is AWS Auto Scaling?

AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.

Get the Application Performance Monitoring (APM) and Observability Buyer's Guide and find out what your peers are saying about AWS Auto Scaling, VMware Aria Operations for Applications, OpenText SiteScope and more!
AWS Auto Scaling is the #15 ranked solution in APM tools. PeerSpot users give AWS Auto Scaling an average rating of 8.8 out of 10. AWS Auto Scaling is most commonly compared to VMware Aria Operations for Applications: AWS Auto Scaling vs VMware Aria Operations for Applications.
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Application Performance Monitoring (APM) and Observability
March 2025
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AWS Auto Scaling mindshare

As of March 2025, the mindshare of AWS Auto Scaling in the Application Performance Monitoring (APM) and Observability category stands at 0.1%, up from 0.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 
 
Key learnings from peers

Valuable Features

AWS Auto Scaling excels in automation and intelligent handling of traffic, ensuring smooth operations and avoiding costly downtimes. Its flexibility allows for vertical and horizontal scaling, along with robust self-healing features through health checks. Users appreciate the ease of use, enhanced interface, predictive scaling, and automatic adjustments. Scheduling and template utilization make policy updates efficient. Many find AWS Auto Scaling cost-effective, benefiting from its seamless integration with other AWS services.
  • "AWS Auto Scaling is very good for managing traffic and creating new instances when necessary."
  • "AWS Auto Scaling is very good for managing traffic and creating new instances when necessary."
  • "I would highly recommend Auto Scaling to others because it is a fantastic feature that simplifies scaling processes and makes deployment efficient."

Room for Improvement

AWS Auto Scaling requires enhancements in server launch speed, ease of use, automation, security features, and infrastructure scalability. Pricing is considered high. Documentation and feature management could be improved, along with flexibility in workload configuration. Complexity in configuring workloads is a concern, requiring significant work. Latency, particularly related to network impact, affects performance. Users express the need for AI features and better cost optimization. More algorithms and serverless management options would benefit those with less experience.
  • "It is sometimes very critical to deploy on AWS since some servers are already running in the background. There are challenges for employees on how to deploy at a given time."
  • "It requires a downtime before deploying the Auto Scaling group."
  • "Setting up the configuration involves too much work for the cloud engineer, like configuring the ALB, the target group, and all the steps."

ROI

AWS Auto Scaling provides a substantial return on investment, enabling organizations to achieve cost efficiency by optimizing AWS environment expenses. Without its utilization, costs would significantly increase.

Pricing

AWS Auto Scaling is generally seen as reasonably priced with costs varying based on usage. While some enterprise users find it expensive, others consider it moderate or economical, particularly appreciating its pay-per-use model without yearly subscriptions. The pricing can depend significantly on the deployment scale and specific application needs, with additional charges for support and extra features frequently mentioned. Monthly licensing fees commonly apply, highlighting cost variability across different organizations.
  • "AWS Auto Scaling is a pay-per-use and pay-as-you-use service."
  • "AWS Auto Scaling is an expensive solution."
  • "AWS Auto Scaling is a cheap solution."

Popular Use Cases

Companies primarily use AWS Auto Scaling to manage fluctuating traffic by automatically adjusting server instances. It supports continuous integration, minimizing downtime, and reducing costs. AWS Auto Scaling enables vertical and horizontal scaling based on real-time requirements, supports Kubernetes integration, and optimizes expenses during high-demand periods, such as festive seasons and major events. Organizations can set policies to efficiently manage CPU utilization and network traffic, ensuring system stability and reliability.

Service and Support

AWS Auto Scaling customer service and support are generally responsive and helpful. Users frequently mention the assistance they receive as being effective and friendly. While the technical support is often rated high, some suggest improvements in response speed for efficiency. Users appreciate the ability to raise multiple tickets and receive timely responses, though faster resolution times are desired by some. Overall, the service is rated positively by most.

Deployment

AWS Auto Scaling setup is generally straightforward. For some, deployment takes about a month, while for smaller tasks, it completes faster. Configuration complexity varies, requiring expert assistance in certain cases. Most find deployment in public cloud environments easier, especially with CI/CD. Documentation helps simplify the process, although those unfamiliar may find it challenging. Setting parameters and understanding launch templates are crucial. Deployment using CloudFormation is preferred by some for managing initial complexity.

Scalability

AWS Auto Scaling is noted for its exceptional scalability. It handles increased capacity demands seamlessly and is highly regarded for ease of use, particularly with Kubernetes. Enterprises of all sizes benefit from its capability to manage thousands of users efficiently. It quickly responds to scaling needs, making it a valuable tool for various organizations. The platform is frequently rated highly for its ability to support growth without performance issues.

Stability

AWS Auto Scaling is praised for its stability, with many rating it nine or ten out of ten. Users highlight its reliability, absence of bugs, and smooth performance. A few mention rare incidents or external issues, but these do not significantly impact stability. Occasional scaling lags are noted; however, understanding deployment and management helps mitigate concerns. Although some suggest improvement, the platform is consistently valued for its stable operation.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
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Learn more about AWS Auto Scaling

AWS Auto Scaling was previously known as AWS Auto-Scaling.

AWS Auto Scaling customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

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Product Categories

Product Categories
Application Performance Monitoring (APM) and Observability

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AWS Auto Scaling reviews

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Mbula Mboma - PeerSpot user
AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)
Verified user of AWS Auto Scaling
Nov 7, 2024
Product version discussed: {}
Boosts deployment efficiency with seamless automatic scaling capabilities

Pros

"Auto Scaling is a cool feature that works well and its automatic scaling capabilities are very useful."

Cons

"Setting up the configuration involves too much work for the cloud engineer."

What is our primary use case?

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

How has it helped my organization?

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

*Disclosure: My company has a business relationship with this vendor other than being a customer:
Read full review (282 words)
Wai L Lin O - PeerSpot user
Cloud Engineer - Supervisor at KBZ Bank
Verified user of AWS Auto Scaling
Mar 11, 2024
Easy to use and effectively monitors application and CPU utilization

Pros

"The solution's monitoring effectively monitors our application and CPU utilization."

Cons

"The solution's infrastructure scalability and elasticity could be improved."

What is our primary use case?

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.

What is most valuable?

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.

*Disclosure: I am a real user, and this review is based on my own experience and opinions.
Read full review (200 words)
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PRABHAT_MISHRA - PeerSpot user
Senior Devops Engineer at LEAD School
Verified user of AWS Auto Scaling
Apr 6, 2024
User-friendly interface and provides autoscaling without manual intervention

Pros

"The most valuable feature of the solution is that it scales automatically without manual intervention based on the metrics we provide."

Cons

"We can have more auto scaling algorithms implemented in AWS Auto Scaling."

What is our primary use case?

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.

What is most valuable?

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.

*Disclosure: I am a real user, and this review is based on my own experience and opinions.
Read full review (395 words)
Jay Sevak - PeerSpot user
AWS Cloud at AeonX Digital Solutions Pvt. Ltd.
Verified user of AWS Auto Scaling
Dec 30, 2024
Manages peak traffic efficiently with good scaling and decent pricing

Pros

"AWS Auto Scaling is very good for managing traffic and creating new instances when necessary."

Cons

"It requires a downtime before deploying the Auto Scaling group."

What is our primary use case?

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.

What is most valuable?

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.

*Disclosure: My company has a business relationship with this vendor other than being a customer:
Read full review (355 words)
Dhanasekaran V. - PeerSpot user
AWS Cloud Architect at WHY Global Services
Verified user of AWS Auto Scaling
Oct 22, 2024
Effortless handling of fluctuating server demands with easy automated adjustments

Pros

"The setup is not very complex."

Cons

"There hasn't been a need for improvements."

What is our primary use case?

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.

What is most valuable?

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.

*Disclosure: I am a real user, and this review is based on my own experience and opinions.
Read full review (433 words)
CG
AWS / Big Data Engineer at Waste Management, Inc.
Verified user of AWS Auto Scaling
Apr 13, 2024
Very helpful in the upscaling and downscaling of services, but its cost optimization could be improved

Pros

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

Cons

"The billing and cost optimization of the solution could be improved."

What is our primary use case?

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

What is most valuable?

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

*Disclosure: I am a real user, and this review is based on my own experience and opinions.
Read full review (412 words)
Sumit Tiwari - PeerSpot user
Deputy General Manager at a tech services company with 10,001+ employees
Verified user of AWS Auto Scaling
Apr 18, 2024
Provides self-healing features and reduces the cost of running machines

Pros

"The product provides self-healing features."

Cons

"In comparison to other public clouds, the product is costly."

What is our primary use case?

Auto Scaling is a feature available within AWS Compute services. If my workload runs mostly in the daytime and the usage is low at night, I keep five instances in the day and one or two at night. During Christmas or other festive seasons, when the load is much more, we can enable the tool to scale the number of instances based on the load automatically.

How has it helped my organization?

The tool keeps my number of instances low in case the utilization is low. It keeps the cost of running the machines low.

*Disclosure: My company has a business relationship with this vendor other than being a customer: partner/customer
Read full review (381 words)
Alex Kabugo - PeerSpot user
System Engineer at Wipro Limited
Verified user of AWS Auto Scaling
Aug 24, 2023
Addresses issues with malfunctioning or unavailable EC2 instances

Pros

"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."

Cons

"It has latency issues. It depends on the distribution used, whether it's Amazon Linux, Windows Linux, etc. Occasionally, there are latency issues, which might lead to slower performance."

What is our primary use case?

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.

How has it helped my organization?

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.

*Disclosure: I am a real user, and this review is based on my own experience and opinions.
Read full review (459 words)
Hey, I use AWS Auto Scaling here at LEAD School. Want to hear about my experience?
PRABHAT_MISHRA - PeerSpot user