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."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."
"It is a stable platform."
"It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."
"The various scaling options available, such as step scaling, are particularly useful."
"It helps us to reduce the cost."
"The tool gives you the flexibility to scale up and grow. The solution is also fast to deploy."
"The product provides self-healing features."
"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 features I find most valuable is the querying and alerting capabilities."
"People are very pleased with the implementation."
"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."
"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."
"No issues with stability."
"The most valuable aspects of the solution are its ease of use and its ease of implementation."
"The product’s security features need improvement."
"The solution is not out-of-the-box and you have to study to use it. It should be more easier to use."
"The speed of the solution must be improved."
"It has latency issues. It depends on the distribution used, whether it's Amazon Linux, Windows Linux, etc. Occasionally, there are latency issues, which might lead to slower performance."
"The product could add more features for managing instances."
"In comparison to other public clouds, the product is costly."
"The tool must include AI features."
"AWS Auto Scaling's documentation could be better."
"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, for us, it would be helpful to have more insights or predictability into what we can expect from a cost perspective if we are starting to use specific features. This can potentially also drive our consumption a bit more."
"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."
"The initial setup should be easier and more seamless."
"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 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 main problem I have is that the license cost is very high."
"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."
More VMware Aria Operations for Applications Pricing and Cost Advice →
AWS Auto Scaling is ranked 27th in Application Performance Monitoring (APM) and Observability with 17 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 , whereas VMware Aria Operations for Applications is most compared with Dynatrace, Grafana, 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.
