AWS Auto Scaling vs VMware Aria Operations for Applications comparison

Amazon Web Services (AWS) and Broadcom are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #14 with an average rating of 8.7, while Broadcom is ranked #17 with an average rating of 8.8. Amazon Web Services (AWS) holds a 0.5% mindshare in APM, compared to Broadcom’s 1.3% mindshare. Additionally, 92% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 93% of Broadcom users who would recommend it.

AWS Auto Scaling

Read 23 AWS Auto Scaling reviews

1,340 Views
1,273 Comparison Views

92% willing to recommend

VMware Aria Operations for ...

Read 14 VMware Aria Operations for Applications reviews

4,749 Views
2,469 Comparison Views

93% willing to recommend

AWS Auto Scaling

VMware Aria Operations for ...

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Executive SummaryUpdated on Jul 24, 2024

VMware Aria Operations for Applications and AWS Auto Scaling are tools for managing applications at scale. VMware Aria Operations is preferred for its comprehensive monitoring capabilities, while AWS Auto Scaling is favored for its seamless scalability features.

Features: VMware Aria Operations for Applications offers deep analytic capabilities, robust monitoring features, and comprehensive monitoring capabilities. AWS Auto Scaling provides automated scaling functionality, ease of integration with other AWS services, and seamless scalability features.

Room for Improvement: VMware needs enhancements in ease of use, integration with third-party tools, and usability improvements. AWS requires better documentation, more intuitive setup processes, and improved integration features.

Ease of Deployment and Customer Service: VMware Aria Operations for Applications has a steeper learning curve with strong customer support. AWS Auto Scaling offers straightforward deployment but lacks in-depth support.

Pricing and ROI: VMware Aria Operations has a higher upfront investment with significant long-term benefits. AWS Auto Scaling is cost-effective for on-demand scaling needs.

To learn more, read our detailed AWS Auto Scaling vs. VMware Aria Operations for Applications Report (Updated: April 2026).

Buyer's Guide

AWS Auto Scaling vs. VMware Aria Operations for Applications

April 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

AWS Auto Scaling

Ranking in Application Performance Monitoring (APM) and Observability

14th

Average Rating

8.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

VMware Aria Operations for ...

Ranking in Application Performance Monitoring (APM) and Observability

17th

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (17th), Container Monitoring (6th), Cloud Monitoring Software (14th)

Mindshare comparison

As of April 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.5%, up from 0.1% compared to the previous year. The mindshare of VMware Aria Operations for Applications is 1.3%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
AWS Auto Scaling	0.5%
VMware Aria Operations for Applications	1.3%
Other	98.2%

Application Performance Monitoring (APM) and Observability

Featured Reviews

AmitMishra1

Software Engineer II at Jash Data Sciences

Automatic scaling has reduced costs and handles unpredictable traffic spikes for critical APIs

From my experience, the best features AWS Auto Scaling offers include target tracking scaling, which is very easy to configure. It also integrates with CloudWatch metrics, which is very important, and provides scheduled scaling, which helps some organizations. Two of my clients are using that. Predictive scaling for known traffic patterns and seamless integration with ALBs, ECS, and EC2 are also my favorite features of AWS Auto Scaling. Out of those features, target tracking scaling has saved me the most time and effort, making it my favorite feature. I find predictive scaling useful but in real-world scenarios, we rely more on dynamic scaling. AWS Auto Scaling has positively impacted my organization as it simplifies scaling decisions. I just need to define our target, such as CPU percentage, and AWS Auto Scaling handles everything. There is no need to fine-tune complex scaling rules, which has helped a lot. It has also significantly improved system reliability and reduced costs, as we no longer worry about sudden traffic spikes and we are not overpaying for idle resources. This has saved us significant costs, estimating around 25 to 30 percent after fine-tuning the scaling policy.

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Ajay Shukla

Consultant at HCLTech

Automation and insightful diagnostics elevate operations while improvements are welcome

The new version 8.18 has brought significant improvements. The main purpose of using this tool is having a single console to manage all entities. The cloud integration capabilities, including private, public, and hybrid, are already well-implemented. The ability to manage multiple vCenters across different geographical locations is very effective. The new Skyline health feature and certificate and licensing management are particularly useful improvements. The dashboard's overview tab provides comprehensive information about current vCenter status, resizable amounts, reclamation opportunities, anomalies, diagnostics, licensing, and certificates. However, there is room for improvement in application analysis. The current functionality lacks detailed monitoring at the kernel level, focusing mainly on CPU, memory, and storage matrices. Enhanced application monitoring capabilities, including tracking downtime for specific types of applications such as transactional or e-commerce applications, would be beneficial.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The various scaling options available, such as step scaling, are particularly useful."

"The most valuable feature is the ability to select a minimum amount of active servers so that a new server automatically launches if one fails."

"When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements."

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

"The product provides self-healing features."

"AWS Auto Scaling has positively impacted my organization as it simplifies scaling decisions, significantly improved system reliability, and reduced costs, as we no longer worry about sudden traffic spikes and we are not overpaying for idle resources, saving us an estimated 25 to 30 percent after fine-tuning the scaling policy."

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

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

More AWS Auto Scaling pros

"The most valuable aspects of the solution are its ease of use and its ease of implementation."

"Wavefront's monitoring tools and visibility into public cloud platforms are competing with the best out there."

"I find VMware Aria Operations for Applications to be very stable, and I would rate it a ten out of ten."

"Scalability for VMware Aria Operations for Applications is easy to implement and manage."

"The solution provides single-console management for multiple VMware environments and cloud integrations, whether hybrid, private, or public cloud."

"VMware comes with a support team, and if you have trouble, you can easily create a ticket, and VMware will help you. Therefore, the best aspect is the support."

"This solution will give you a single pane of glass for everything, and centralized monitoring."

"Using Wavefront, we have been able to reduce the complexity of our pipeline."

More VMware Aria Operations for Applications pros

Cons

"The only area of improvement is the speed at which servers are launched. When cleaning up to six servers at a time, it can take up to 15 to 20 minutes to launch new servers."

"The tool's stability could be improved."

"AWS Auto Scaling can be improved in many ways, such as providing better visibility into scaling decisions and clarifying why exactly scaling happens."

"The speed of the solution must be improved."

"Setting up the configuration involves too much work for the cloud engineer, like configuring the ALB, the target group, and all the steps."

"If there could be training for AWS Auto Scaling, that would be fine. If you could add more training on how to use it correctly and on the functions that I haven't used before or some people have not really used before, that would help."

"AWS Auto Scaling's documentation could be better."

"The setup can be a bit complex in some situations."

More AWS Auto Scaling cons

"I find that there could be improvements in the support service response time, as the urgency varies unless specified as Priority 2 or 1 cases."

"The documentation and integration with Kubernetes could be improved."

"I would like to see integration with Kubernetes cluster and APIs so that you can manage the entire stack."

"Its billing model is consumption-based. I understand the consumption-based model, but it is not necessarily easy to estimate and guess how many points or how much we are going to consume on a specific application up until we get to that point."

"The main problem I have is that the license cost is very high."

"They could make it more easy to plug-in data so that a nontechnical person will be able to use it, like accountants or finance people."

"The implementation is a long process that should be improved."

More VMware Aria Operations for Applications cons

Pricing and Cost Advice

"The product has moderate pricing."

"AWS Auto Scaling's price is high."

"AWS Auto Scaling is an expensive solution."

"The pricing is good. I have not had any customers that have complained about the price."

"AWS Auto Scaling is a cheap solution."

"The product is expensive."

"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."

"I would rate the pricing as three out of five."

"The licensing costs are very high, particularly when you consider that we have to purchase a level 1 license for every integration, such as the load balancer, HAProxy, and the MSSP. And if you want to use vSAN, that's another license. Then, of course, Tanzu Observability has its own separate license."

"I don't have the details. In our case, there is a mixture in place. We have production usage, and we are also doing training for VMware. So, we also have a training instance. It is worth the money you would spend on it. That's because if you were to build all of this yourself by using some of the open source tools, then you would need a lot of time."

"Different locations require different setups. In your terms, around 300 to around 400K USD."

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Top Industries

By visitors reading reviews

Construction Company

13%

Financial Services Firm

11%

Educational Organization

Comms Service Provider

Financial Services Firm

12%

Manufacturing Company

11%

Government

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	2
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	1
Large Enterprise	10

Questions from the Community

What do you like most about AWS Auto Scaling?

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. W...

See all answers

What is your experience regarding pricing and costs for AWS Auto Scaling?

I'm not sure about the pricing aspect of AWS Auto Scaling or the cost of it.

See all answers

What needs improvement with AWS Auto Scaling?

AWS Auto Scaling can be improved in many ways, such as providing better visibility into scaling decisions and clarifying why exactly scaling happens. Sometimes, I am not sure why scaling occurs. Ea...

See all answers

What is your experience regarding pricing and costs for VMware Tanzu Observability by Wavefront?

The solution includes cost drivers that can be configured according to your environment. You can input server-wise, CPU-wise, storage, and memory costs per hour or day. Once cost drivers are provid...

See all answers

What needs improvement with VMware Tanzu Observability by Wavefront?

See all answers

What is your primary use case for VMware Tanzu Observability by Wavefront?

I have been involved in several projects where I had to implement automation and monitoring alerting. I performed automation using VMware Aria Operations for Applications. There is an automation ta...

See all answers

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Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

April 2026

Download AWS Auto Scaling product report

Buyer's Guide

VMware Aria Operations for Applications

March 2026

VMware Aria Operations for Applications report

Download VMware Aria Operations for Applications product report

Also Known As

AWS Auto-Scaling

Tanzu Observability, Wavefront, Wavefront by VMware, VMware Tanzu Observability

Overview

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.

Amazon Web Services (AWS)

VMware Tanzu Observability by Wavefront is a powerful tool for monitoring and analyzing the performance and availability of applications and infrastructure in real-time.

With its comprehensive monitoring capabilities, visualizing and analyzing data becomes effortless. The real-time alerting system ensures timely issue resolution, while scalability and a user-friendly interface provide a seamless experience for smooth operations.

Broadcom

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

1. Atlassian 2. Cisco 3. Databricks 4. DigitalOcean 5. Equinix 6. Fidelity Investments 7. Google 8. Hewlett Packard Enterprise 9. Honeywell 10. IBM 11. Intel 12. JetBlue Airways 13. LinkedIn 14. Lyft 15. Mastercard 16. Microsoft 17. MongoDB 18. Netflix 19. Nvidia 20. Oracle 21. PayPal 22. Pinterest 23. Qualcomm 24. Red Hat 25. Salesforce 26. SAP 27. Spotify 28. Square 29. TMobile 30. Twitter 31. Uber 32. VMware

Buyer's Guide

AWS Auto Scaling vs. VMware Aria Operations for Applications

April 2026

Free Report: AWS Auto Scaling vs. VMware Aria Operations for Applications

Find out what your peers are saying about AWS Auto Scaling vs. VMware Aria Operations for Applications and other solutions. Updated: April 2026.

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