AWS Auto Scaling vs VMware Aria Operations for Applications comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between AWS Auto Scaling and VMware Aria Operations for Applications based on real PeerSpot user reviews.

Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed AWS Auto Scaling vs. VMware Aria Operations for Applications Report (Updated: March 2024).
768,924 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"I like the graphs provided by the tool.""The health check integration feature ensures that the instances are healthy and capable of absorbing traffic, thus serving their purpose effectively.""The solution helps optimize the cost of the AWS environment.""The product provides self-healing features.""The most valuable feature of the solution is that it scales automatically without manual intervention based on the metrics we provide.""It is a stable platform.""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."

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"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 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.""No issues with stability.""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. We can just deploy it on a workload cluster and monitor at least a good part of the workload. If we want to go into detail, we clearly need to make changes, but for a good part of application monitoring, it gives us good insights.""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 solution is great for virtualization and preparing the infrastructure in Tanzu to test products. It's very fast and has good visibility.""People are very pleased with the implementation."

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Cons
"Flexibility in configuring the workload is missing in AWS Auto Scaling.""The setup can be a bit complex in some situations.""We can have more auto scaling algorithms implemented in AWS Auto Scaling.""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 product’s security features need improvement.""The product’s pricing needs improvement.""The tool must include AI features.""In comparison to other public clouds, the product is costly."

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"The initial setup should be easier and more seamless.""The documentation and integration with Kubernetes could be improved.""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 implementation is a long process that should be improved.""I would like to see integration with Kubernetes cluster and APIs so that you can manage the entire stack.""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 main problem I have is that the license cost is very high.""In the new version, I would love to see more prediction capabilities. It would be great if one could see the alerts get a little more enriched with information and become more human-friendly instead of the technical stuff that they put in there. I think those would be really awesome outcomes to get."

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Pricing and Cost Advice
  • "The pricing is good. I have not had any customers that have complained about the price."
  • "AWS Auto Scaling's price is high."
  • "The product has moderate pricing."
  • "The product is expensive."
  • "AWS Auto Scaling is a cheap solution."
  • "AWS Auto Scaling is an expensive solution."
  • "AWS Auto Scaling is a pay-per-use and pay-as-you-use service."
  • More AWS Auto Scaling Pricing and Cost Advice →

  • "Different locations require different setups. In your terms, around 300 to around 400K USD."
  • "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."
  • "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 would rate the pricing as three out of five."
  • More VMware Aria Operations for Applications Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The various scaling options available, such as step scaling, are particularly useful.
    Top Answer:While I haven't found any significant need for improvement in AWS Auto Scaling, the setup can be a bit complex in some situations.
    Top Answer: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.
    Top Answer:It's hard to set up Tanzu clusters. It's hard to do a POC. Once you set up a customer's environment, you easily see the problems. The initial setup should be easier and more seamless.
    Ranking
    Views
    299
    Comparisons
    223
    Reviews
    9
    Average Words per Review
    297
    Rating
    8.6
    Views
    2,486
    Comparisons
    2,203
    Reviews
    4
    Average Words per Review
    549
    Rating
    8.3
    Comparisons
    Also Known As
    AWS Auto-Scaling
    Tanzu Observability, Wavefront, Wavefront by VMware, VMware Tanzu Observability
    Learn More
    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.

    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.

    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
    Top Industries
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Non Tech Company18%
    Retailer9%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Government14%
    Computer Software Company13%
    Manufacturing Company13%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company16%
    Manufacturing Company6%
    Government6%
    Company Size
    REVIEWERS
    Small Business43%
    Midsize Enterprise10%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise2%
    Large Enterprise79%
    REVIEWERS
    Small Business30%
    Midsize Enterprise10%
    Large Enterprise60%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise14%
    Large Enterprise68%
    Buyer's Guide
    AWS Auto Scaling vs. VMware Aria Operations for Applications
    March 2024
    Find out what your peers are saying about AWS Auto Scaling vs. VMware Aria Operations for Applications and other solutions. Updated: March 2024.
    768,924 professionals have used our research since 2012.

    AWS Auto Scaling is ranked 27th in Application Performance Monitoring (APM) and Observability with 18 reviews while VMware Aria Operations for Applications is ranked 32nd in Application Performance Monitoring (APM) and Observability with 9 reviews. AWS Auto Scaling is rated 8.8, while VMware Aria Operations for Applications is rated 7.6. The top reviewer of AWS Auto Scaling writes "The product helps reduce costs and avoids interruptions to the customer experience". On the other hand, the top reviewer of VMware Aria Operations for Applications writes "Easy to deploy, worth the money, and helpful for uptime monitoring and performance insights". AWS Auto Scaling is most compared with Splunk Enterprise Security, whereas VMware Aria Operations for Applications is most compared with Grafana, Dynatrace, Datadog, Zabbix and Prometheus. See our AWS Auto Scaling vs. VMware Aria Operations for Applications report.

    See our list of best Application Performance Monitoring (APM) and Observability vendors.

    We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.