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AWS Auto Scaling vs IBM Application Performance Management comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2024

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
15th
Average Rating
8.8
Reviews Sentiment
7.0
Number of Reviews
21
Ranking in other categories
No ranking in other categories
IBM Application Performance...
Ranking in Application Performance Monitoring (APM) and Observability
50th
Average Rating
6.4
Reviews Sentiment
5.9
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.2%, up from 0.1% compared to the previous year. The mindshare of IBM Application Performance Management is 0.3%, down from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Mbula Mboma - PeerSpot reviewer
Boosts deployment efficiency with seamless automatic scaling capabilities
My primary use case for Auto Scaling is mainly to deploy applications at scale Auto Scaling has made the deployment of applications more efficient, allowing us to manage traffic and maintain performance as user counts increase. Auto Scaling is a cool feature that works well and its automatic…
Daniel Tamiru - PeerSpot reviewer
A multi-functional solution but has poor stability and performance-related issues
We are using version 4 of IBM Application Performance Management, and it is deployed on-premises. We use it for internet banking and mainly for application performance on-site. For example, if we face performance-related issues in one of our software or managed services, we use this solution to…

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 setup is not very complex."
"It helps us to reduce the cost."
"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."
"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 solution's monitoring effectively monitors our application and CPU utilization."
"AWS Auto Scaling is very good for managing traffic and creating new instances when necessary."
"AWS Auto Scaling is cost-effective and very useful for businesses."
"I would rate the scalability an eight out of ten."
"Because we have partnerships with other partners, I can share a bit about what I've noticed with IBM APM compared to other vendor solutions. Specifically, with IBM, the visibility into detailed process information is more tangible. On the OS level, APM displays all processes (or the top 10 processes) that are consuming CPU or resident memory. This is the most important thing that is not always available with other vendors."
"The transaction tracking feature from IBM is the most important feature for us. It is something that provides a terrific value for us and our clients. It has a lot of data sources and agents that are collectors. It is also stable."
"The most valuable feature is the breakdown that it provides, such as a description of the fields for a particular transaction."
"IBM Application Performance Management helped us increased our response time by 80% and cost 60% less."
"The initial setup was straightforward and took minimal effort."
"It's easy to use."
 

Cons

"The solution is not out-of-the-box and you have to study to use it. It should be more easier to use."
"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."
"We can have more auto scaling algorithms implemented in AWS Auto Scaling."
"There hasn't been a need for improvements."
"It is sometimes very critical to deploy on AWS since some servers are already running in the background. There are challenges for employees on how to deploy at a given time."
"Flexibility in configuring the workload is missing in AWS Auto Scaling."
"The speed of the solution must be improved."
"It could be cheaper."
"The stability is not great and should be better."
"With APM, we noticed that the agent can cause a lot of issues for the application, making the agent very unreliable. Many issues are happening, and we've had to discuss it with support to try and get a fix. It affects application availability, and sometimes actions fail because of the agent, degrading the performance of the application."
"They should focus on potentially enhancing the dashboard to make it more contemporary and adding some customization options. Furthermore, there might be room for improvement in the pricing policy."
"Technical support can be slow and needs improvement."
"Its web user interface is a little bit old in comparison to other solutions, such as New Relic, and it should be improved. Its scalability and technical support should also be improved. Currently, it is scalable, but only in a vertical way. They provide good technical support, but the initial steps for a new case can be improved to fasten the resolution process."
"It's still missing some platforms. For example, if you look to applications itself, it is missing the interface."
"The demo that was provided to us is not working very well. At times, there are errors."
 

Pricing and Cost Advice

"AWS Auto Scaling's price is high."
"AWS Auto Scaling is a cheap solution."
"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."
"The product is expensive."
"The pricing is good. I have not had any customers that have complained about the price."
"The product has moderate pricing."
"AWS Auto Scaling is an expensive solution."
"As I previously indicated, I initiated the IBM and uncovered all its elements. Consequently, I'm not inclined towards a licensing approach."
"The licensing fees can be paid every six months or on a yearly basis."
"IBM APM is one of the cheaper products on the market, while everything necessary to get started is included in the license."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
26%
Computer Software Company
11%
Manufacturing Company
10%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about AWS Auto Scaling?
The tool's most valuable feature is vertical auto-scaling, which is easy to use. However, most companies now prefer horizontal scaling. I set up the health check integration to monitor CPU usage. W...
What is your experience regarding pricing and costs for AWS Auto Scaling?
The pricing of Auto Scaling is medium range, neither high nor low.
What needs improvement with AWS Auto Scaling?
It is sometimes very critical to deploy on AWS since some servers are already running in the background. There are challenges for employees on how to deploy at a given time. It requires a downtime ...
What needs improvement with IBM Application Performance Management?
They should focus on potentially enhancing the dashboard to make it more contemporary and adding some customization options. Furthermore, there might be room for improvement in the pricing policy. ...
What is your primary use case for IBM Application Performance Management?
I monitor business applications for more than four end users.
 

Also Known As

AWS Auto-Scaling
IBM APM
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Mibtree, EatDrinkDeals.com, IT Performance Advisor
Find out what your peers are saying about AWS Auto Scaling vs. IBM Application Performance Management and other solutions. Updated: July 2025.
861,481 professionals have used our research since 2012.