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 #40 with an average rating of 8.5, while Broadcom is ranked #18 with an average rating of 8.8. Amazon Web Services (AWS) holds a 0.5% mindshare in APM, compared to Broadcom’s 1.4% 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 22 AWS Auto Scaling reviews

2,155 Views
2,069 Comparison Views

92% willing to recommend

VMware Aria Operations for ...

Read 14 VMware Aria Operations for Applications reviews

7,303 Views
4,017 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: August 2026).

Buyer's Guide

AWS Auto Scaling vs. VMware Aria Operations for Applications

August 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

40th

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

18th

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (14th), Container Monitoring (6th), Cloud Monitoring Software (13th)

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.5%, up from 0.2% compared to the previous year. The mindshare of VMware Aria Operations for Applications is 1.4%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
VMware Aria Operations for Applications	1.4%
AWS Auto Scaling	0.5%
Other	98.1%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Ishaka Michael Efe

DevOps Engineer Intern at HNG Tech

Automation has simplified traffic management and improved workload efficiency

I'm not really sure what improvements I would want to see in AWS Auto Scaling because I haven't really used it extensively or explored most of it. To the extent that I've used it so far, I think it is very good. I can't really say for certain what should be improved because I haven't really explored it a lot. However, what I've been using it for has been very good. 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. If there could be more documentation and training on it, that would be beneficial.

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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 is a stable platform."

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

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

"The tool gives you the flexibility to scale up and grow. The solution is also fast to deploy."

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

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

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

More AWS Auto Scaling pros

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

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

"Tanzu itself, integrated with multiple solutions, bestows support and security upon a container platform, especially when it comes to managing open-source container platforms such as Kubernetes."

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

"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."

"The stability of Aria Operations for Applications has improved significantly over the years."

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

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

More VMware Aria Operations for Applications pros

Cons

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

"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."

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

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

"The solution must improve automation."

"The product’s pricing needs improvement."

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

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

More AWS Auto Scaling cons

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

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

"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."

"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."

"The solution could be expensive, which might be a limiting factor."

"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. That way they don't have to ask us."

"The support from VMware is not very helpful. This is because you always receive many questions from the support service but few actual solutions."

More VMware Aria Operations for Applications cons

Pricing and Cost Advice

"The product is expensive."

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

"AWS Auto Scaling is a cheap solution."

"The product has moderate pricing."

"AWS Auto Scaling is an expensive solution."

"AWS Auto Scaling's price is high."

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

"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."

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

"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

17%

Educational Organization

13%

Outsourcing Company

11%

Financial Services Firm

12%

Manufacturing Company

12%

Construction Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	2
Large Enterprise	12

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

Questions from the Community

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 primary use case for AWS Auto Scaling?

My main use case for AWS Auto Scaling is automatically scaling EC2 instances behind a load balancer based on traffic, CPU, and memory usage, as well as custom CloudWatch metrics. I also use it with...

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

Comparisons

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Snyk vs AWS Auto Scaling

Compared 6% of the time

Splunk Enterprise Security vs AWS Auto Scaling

Compared 6% of the time

Alluvio AppResponse vs AWS Auto Scaling

Compared 5% of the time

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Datadog vs VMware Aria Operations for Applications

Compared 6% of the time

Splunk Observability Cloud vs VMware Aria Operations for Applications

Compared 4% of the time

LogicMonitor vs VMware Aria Operations for Applications

Compared 4% of the time

Splunk AppDynamics vs VMware Aria Operations for Applications

Compared 3% of the time

Nagios XI vs VMware Aria Operations for Applications

Compared 3% of the time

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Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

August 2026

Download AWS Auto Scaling product report

Buyer's Guide

VMware Aria Operations for Applications

July 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 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

Buyer's Guide

AWS Auto Scaling vs. VMware Aria Operations for Applications

August 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: August 2026.

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