AWS Auto Scaling Reviews

Name: AWS Auto Scaling
Brand: Amazon Web Services (AWS)
Rating: 4 (19 reviews)

4.4 out of 5

19 reviews
90% willing to recommend

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, Splunk Enterprise Security, AWS X-Ray and more!

AWS Auto Scaling is the #16 ranked solution in APM tools. PeerSpot users give AWS Auto Scaling an average rating of 8.8 out of 10. Based on the analysis of the 19 most recent AWS Auto Scaling reviews, the overall sentiment is positive, with a sentiment score of 6.7. (Among the lowest in the category). AWS Auto Scaling is most commonly compared to Splunk Enterprise Security: AWS Auto Scaling vs Splunk Enterprise Security.

Buyer's Guide

Application Performance Monitoring (APM) and Observability

October 2024

Get the category report

Helped 814,649 peers since 2012

Featured reviews

PRABHAT_MISHRA

Senior Devops Engineer at LEAD School

We utilize AWS Auto Scaling to handle peak traffic times in our application using scheduled scaling. We have scheduled traffic in the morning when we have higher traffic. Previously, we had customer issues with requests failing because of manual intervention. After enabling AWS Auto Scaling, none of the requests failed, giving a very smooth customer experience. In that way, the solution reduced our operational costs. The solution's health check feature is very important because it checks the heartbeat of the application to know whether it's running or not. If it's not running, we automatically get notified and look into the application to see what caused it. The health check integration feature has helped with the availability of the application. I would recommend the solution to people looking for automatic scaling of their application. Overall, I rate the solution ten out of ten.

Read full review

Shubham Chakraworty

Infrastructure Engineer at Infosys

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. The…

Read full review

Dhanasekaran V.

AWS Cloud Architect at WHY Global Services

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…

Read full review

AWS Auto Scaling mindshare

As of November 2024, the mindshare of AWS Auto Scaling in the Application Performance Monitoring (APM) and Observability category stands at 0.1%, down 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

Last updated Oct 23, 2024

Valuable Features

AWS Auto Scaling's key advantages include automated scaling and flexibility, handling traffic efficiently with cost-effectiveness. Users highlight ease of deployment, intuitive interface, and minimal manual intervention. The tool's versatile scaling options like predictive and vertical scaling are valuable, supporting applications on various AWS services. The self-healing feature ensures seamless operation, and smart scaling policies optimize resource utilization. Health check integration and automatic instance replacement safeguard infrastructure stability, enhancing user experience and mitigating downtime.

"The setup is not very complex."
"The tool's most valuable feature is vertical auto-scaling, which is easy to use. However, most companies now prefer horizontal scaling. I set up the health check integration to monitor CPU usage. When it reaches seventy percent, it sends me an email notification."
"The product provides self-healing features."

Room for Improvement

AWS Auto Scaling users cite the need for faster server launches and improved pricing. Documentation and automation should be more intuitive, and enhancements in security and scalability are desired. Users seek additional features for instance management and serverless options. Some experience latency and inefficiencies traced to network issues. The cost structure should be more competitive, and flexibility in configuring workloads is lacking. Deploying AI features in AWS Auto Scaling might also benefit users with less experience.

"There hasn't been a need for improvements."
"The tool's stability could be improved."
"In comparison to other public clouds, the product is costly."

ROI

AWS Auto Scaling consistently generates a good return on investment, helping optimize costs in the AWS environment. Users have noted that without its utilization, expenses would increase significantly.

Pricing

AWS Auto Scaling's pricing varies widely among enterprises, with perceptions ranging from reasonable to expensive. It operates on a pay-per-use model, allowing flexibility without an annual subscription. Costs are influenced by computing needs and scaling extent, making it suitable for dynamic requirements but potentially costly for extensive usage. Enterprises often face additional expenses for support and extra features, with payments typically handled on a monthly basis. Overall, user experiences with pricing are mixed.

"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

Organizations primarily use AWS Auto Scaling for automatic management of server instances based on demand. It helps distribute network traffic, ensures stability, supports CI/CD processes, and integrates with Kubernetes. Users can set policies for scaling according to CPU usage, optimize costs, and avoid downtime. During events with high user traffic, AWS Auto Scaling adjusts instance numbers to maintain performance, efficiently balancing availability and expenses. It is widely utilized to meet specific client and environment requirements.

Service and Support

AWS Auto Scaling's customer service and support are consistently praised for their responsiveness and helpfulness. Users find the technical support team to be excellent, friendly, and efficient. While the services are described as perfect and awesome, some feedback suggests a need for faster response times. Overall, the support system is highly rated, usually scoring around eight out of ten. Queries related to upstreaming, WAF, and directory authentication are handled promptly, resulting in timely issue resolution.

Deployment

AWS Auto Scaling's initial setup is generally straightforward. For large organizations, deployment can take around one month, whereas for smaller ones it is faster. Implementations often occur in a cloud environment, leveraging VPCs for security. A simple setup is common, but complex configurations might require expertise. Teams of four usually manage the process, with clearly defined scaling parameters. Good documentation aids understanding and ensures manageable installation, although experience is beneficial for configuration intricacies.

Scalability

AWS Auto Scaling efficiently handles expansion with excellent scalability ratings, often scored between eight and ten. Users range from medium to large enterprises, with easy integration, especially with Kubernetes. Organizations can rapidly increase capacity to accommodate anywhere from 40 to 70,000 users, experiencing no notable difficulties. Scaling capabilities are highly effective, and future usage is expected to rise. Scaling adjustments occur swiftly, ensuring requirements are met without delays.

Stability

AWS Auto Scaling is widely regarded as stable and reliable, with most users rating its stability highly. Many give it a perfect score of ten. Users find it stable without frequent bugs or crashes. Some report occasional scaling lags, but the stability generally suits their needs. While some users believe it could be more stable, most rate it between seven and ten, recognizing its dependability and minimal maintenance requirements.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Application Performance Monitoring (APM) and Observability Buyer's Guide for additional reliable information.