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."The product provides self-healing features."
"AWS Auto Scaling is cost-effective and very useful for businesses."
"The solution helps optimize the cost of the AWS environment."
"It can scale."
"The good thing about Autoscaling is that it provides the capacity to minimize downtime. So, it gives you the assurance of stability and robustness within your system."
"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."
"When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements."
"The solution is great for virtualization and preparing the infrastructure in Tanzu to test products. It's very fast and has good visibility."
"This solution allows me to have true visibility for any metrics when it comes to my cloud, and private."
"People are very pleased with the implementation."
"No issues with stability."
"The most valuable aspects of the solution are its ease of use and its ease of implementation."
"The features I find most valuable is the querying and alerting capabilities."
"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."
"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 tool must include AI features."
"The solution must improve automation."
"The tool's stability could be improved."
"In comparison to other public clouds, the product is costly."
"The solution's infrastructure scalability and elasticity could be improved."
"The speed of the solution must be improved."
"AWS Auto Scaling's documentation could be better."
"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 main problem I have is that the license cost is very high."
"The initial setup should be easier and more seamless."
"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."
"The implementation is a long process that should 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."
"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."
"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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AWS Auto Scaling is ranked 15th in Application Performance Monitoring (APM) and Observability with 18 reviews while VMware Aria Operations for Applications is ranked 34th 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, Zabbix, Datadog and AppDynamics. See our AWS Auto Scaling vs. VMware Aria Operations for Applications report.
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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.