AWS Auto Scaling Reviews

Name: AWS Auto Scaling
Brand: Amazon Web Services (AWS)
Rating: 4.4 (20 reviews)

4.4 out of 5

20 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.

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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 20 most recent AWS Auto Scaling reviews, the overall sentiment is positive, with a sentiment score of 6.6. AWS Auto Scaling is most commonly compared to AWS X-Ray: AWS Auto Scaling vs AWS X-Ray.

Buyer's Guide

Application Performance Monitoring (APM) and Observability

November 2024

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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.

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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…

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Sumit Tiwari

Deputy General Manager at a tech services company with 10,001+ employees

If our workload utilization is inconsistent, it is better to use AWS Auto Scaling. If we have a hard-coded number of instances running, we might be wasting Compute if we don't have enough workload. The health check is one of the key features integrated with the tool. If one of my instances goes down, the health check feature identifies and creates another instance to ensure the minimum number of instances required for the workload is available. The product provides self-healing features. It helps to keep my instances running. If something goes wrong, the instances will be up due to the self-healing features.

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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 Nov 8, 2024

Valuable Features

AWS Auto Scaling features flexibility to automatically adjust server instances based on demand and metrics. Users appreciate the effortless scalability, the intelligence and automation that handle traffic, and the ability to set minimum and maximum instances. Useful elements include scheduling, vertical and horizontal scaling, step scaling, predictive scaling, self-healing capabilities, health checks, a user-friendly interface, and integration with services like Amazon ECS and DynamoDB. It's cost-effective and ensures application uptime.

"I would highly recommend Auto Scaling to others because it is a fantastic feature that simplifies scaling processes and makes deployment efficient."
"Auto Scaling is a cool feature that works well and its automatic scaling capabilities are very useful."
"The setup is not very complex."

Room for Improvement

AWS Auto Scaling needs enhancements in server launch speed, pricing, and usability. It faces latency issues and complexities in configuration, with room for improvement in documentation, security, and automation. Users desire more features for managing instances and better scalability and elasticity. Pricing, cost optimization, and billing could be enhanced. Some seek flexibility in workload configuration, AI features, and simplified setup. Compared to other public clouds, AWS Auto Scaling is seen as expensive.

"Setting up the configuration involves too much work for the cloud engineer, like configuring the ALB, the target group, and all the steps."
"Setting up the configuration involves too much work for the cloud engineer."
"There hasn't been a need for improvements."

ROI

AWS Auto Scaling provides a positive return on investment and is considered a beneficial investment. It optimizes the cost of the AWS environment effectively. Users indicate that without adopting AWS Auto Scaling, they would incur higher expenses.

Pricing

Enterprises find AWS Auto Scaling pricing varied: some consider it reasonable, while others find it expensive due to additional costs for support and features. Costs depend on scaling needs and application demands, with a pay-per-use model and monthly license availability. Though some users report high prices, many value the tool's quality. Pricing not typically a concern, as it depends on organizational use cases and computations. Potential for cost evaluation using AWS's cost calculator.

"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

AWS Auto Scaling is utilized to automatically manage server capacity and traffic distribution, supporting large deployments with software development practices and Kubernetes integration. Users employ it for cost optimization, stability, and to handle increased traffic effectively. It allows vertical and horizontal scaling based on CPU utilization and load metrics and is integrated with CloudWatch for monitoring. It ensures scalable resource management during seasonal spikes or high-demand periods, meeting client requirements and optimizing expenses.

Service and Support

AWS Auto Scaling customer service and support receive positive feedback for being helpful and responsive, although some users mention that response times could improve. Technical support is praised as good, customer-friendly, and assisting with various issues such as upstreaming, WAF, and directory authentication. Most users experience timely assistance, but there are mentions of the need for faster response times. Many rate the service highly, indicating satisfaction with the support provided.

Deployment

The initial setup of AWS Auto Scaling is generally straightforward and easy for both small and large customers. It can take from a few minutes to a month depending on the complexity and customer size. Deployment often uses CI/CD processes and is typically cloud-based, utilizing Virtual Private Clouds for security. While configuration is simple with proper understanding and documentation, complex configurations may require expert assistance. AWS documentation is essential for a smooth setup process.

Scalability

AWS Auto Scaling is highly scalable, with users reporting ease of scaling, quick updates, and handling increased usage effortlessly. Many users rate its scalability between eight to ten out of ten, praising its performance during spikes and ease of integration with Kubernetes. Enterprises of different sizes utilize it, indicating its capacity to handle a diverse user base.

Stability

AWS Auto Scaling receives a high rating for stability, typically between nine and ten out of ten. It is considered very stable and reliable with minimal technical issues like bugs or glitches. However, some users note occasional lags during scaling and external incidents that might need addressing. Backup systems have effectively mitigated server crashes. Most users find the platform stable, though a few suggest room for improvement, rating it a seven out of ten.

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

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