AWS Auto Scaling vs VMware Aria Operations for Applications comparison

AWS Auto Scaling vs. VMware Aria Operations for Applications

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

"It helps us to reduce the cost."

"The product provides self-healing features."

"Once we moved them to AWS and created the appropriate architecture, it solved the problem."

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

"The automation aspect where you can automate it to whatever you want is what I value the most about Auto Scaling."

"It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."

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

More AWS Auto Scaling pros

"It significantly improves application performance management by offering recommendations for resource allocation to avoid wastage or overcommitment."

"Wavefront gives us the complexity we need, instead of spending time coming up with a nice dashboard from some other means, or just creating and coding our own app."

"This solution allows me to have true visibility for any metrics when it comes to my cloud, and private."

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

"For us, the ease of deployment in combination with TMZ was the most important part because we don't have to manually deploy a complex monitoring solution, we can more or less do that with the click of a button, and we are not dependent on the developers to provide us with all the necessary features and functions to make that work."

"I gladly recommend VMware Aria Operations for Applications because it is cost effective and has commendable AI response capabilities."

"It has a familiar interface, which makes it easy to get started."

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

More VMware Aria Operations for Applications pros

Cons

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

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

"The tool must include AI features."

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

"The solution is not out-of-the-box and you have to study to use it. It should be more easier to use."

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

"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."

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

More AWS Auto Scaling cons

"It could use a URL document server. Everything in the market is moving towards automation and everybody's looking for the single click operations as well relational data locality."

"They just need more capability. A few areas still need more enhancements in the technology capability space."

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

"The initial setup should be easier and more seamless."

"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."

"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."

"So far, the solution's learning curve has been pretty high."

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

More VMware Aria Operations for Applications cons

Pricing and Cost Advice

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

"AWS Auto Scaling is an expensive solution."

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

"AWS Auto Scaling is a cheap solution."

"The product is expensive."

"The product has moderate pricing."

"AWS Auto Scaling's price is high."

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

"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."

"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."

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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

13%

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...

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.

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...

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...

What needs improvement with VMware Tanzu Observability by Wavefront?

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...

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Product Reports

Application Performance Monitoring (APM) and Observability

Download AWS Auto Scaling product report

VMware Aria Operations for Applications

Download VMware Aria Operations for Applications product report

VMware Aria Operations for Applications report

Also Known As

AWS Auto-Scaling

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

Overview

AWS Auto Scaling optimizes resource use by automatically adjusting instances based on demand. It integrates with CloudWatch for seamless monitoring, enhancing system reliability and cost efficiency without manual intervention.

AWS Auto Scaling is designed to dynamically scale resources in response to demand, supporting horizontal and vertical scaling for optimal performance. It integrates well with AWS services like EC2 and ECS, allowing for flexible and scalable solutions. Predictive scaling and intelligent automation reduce costs and ensure reliability, particularly during unpredictable traffic variations. Users implement it to maintain efficiency and minimize downtime, benefiting from features such as self-healing and health checks.

What are the key features of AWS Auto Scaling?

Automatic Scaling: Adjusts resources based on real-time demand metrics.
CloudWatch Integration: Seamless monitoring integration for efficient resource management.
Target Tracking: Maintains desired performance levels by adjusting resources as needed.
Scheduled Scaling: Pre-configure adjustments based on expected demand changes.
Self-Healing: Automatically replaces unhealthy instances to ensure maximum uptime.

What benefits should users expect from AWS Auto Scaling?

Cost Efficiency: Reduces cost by adjusting resources based on fluctuating demand.
Reliable Performance: Ensures consistent performance even with varying traffic levels.
Minimal Downtime: Automatically adapts to traffic changes to keep services running smoothly.
User-Friendly Interface: Simple operation with intuitive controls and configurations.
Flexibility: Supports a range of AWS services, adapting to different use cases and demands.

In industries with variable demand, AWS Auto Scaling is deployed to manage real-time traffic surges, ensuring efficient use of resources during periods such as events and festive seasons. Users grow dynamic environments while balancing costs and maintaining stability, integrating the tool with CI/CD processes for continuous and efficient deployment.

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

AWS Auto Scaling vs. VMware Aria Operations for Applications