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."It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."
"I like the graphs provided by the tool."
"The various scaling options available, such as step scaling, are particularly useful."
"The solution helps optimize the cost of the AWS environment."
"It can scale."
"The product provides self-healing features."
"The health check integration feature ensures that the instances are healthy and capable of absorbing traffic, thus serving their purpose effectively."
"It helps us to reduce the cost."
"This solution allows me to have true visibility for any metrics when it comes to my cloud, and private."
"The solution is great for virtualization and preparing the infrastructure in Tanzu to test products. It's very fast and has good visibility."
"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."
"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 features I find most valuable is the querying and alerting capabilities."
"People are very pleased with the implementation."
"AWS Auto Scaling's documentation could be better."
"The solution's infrastructure scalability and elasticity could be improved."
"Flexibility in configuring the workload is missing in AWS Auto Scaling."
"We can have more auto scaling algorithms implemented in AWS Auto Scaling."
"The solution must improve automation."
"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 could add more features for managing instances."
"It could be cheaper."
"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."
"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."
"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."
"The initial setup should be easier and more seamless."
"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."
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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 33rd 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 Grafana, Dynatrace, Zabbix, Datadog and AppDynamics. See our AWS Auto Scaling vs. VMware Aria Operations for Applications report.
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