AWS Auto Scaling vs IBM Application Performance Management comparison

Amazon Web Services (AWS) and IBM are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #14 with an average rating of 8.7, while IBM is ranked #57. Amazon Web Services (AWS) holds a 0.5% mindshare in APM, compared to IBM’s 0.6% mindshare. Additionally, 92% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 62% of IBM users who would recommend it.

AWS Auto Scaling

Read 23 AWS Auto Scaling reviews

1,340 Views
1,273 Comparison Views

92% willing to recommend

IBM Application Performance...

Read 7 IBM Application Performance Management reviews

1,451 Views
1,407 Comparison Views

62% willing to recommend

AWS Auto Scaling

IBM Application Performance...

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Executive SummaryUpdated on Jul 24, 2024

IBM Application Performance Management and AWS Auto Scaling compete in monitoring and infrastructure scalability. IBM has a stronger foothold in performance metrics, while AWS Auto Scaling is advantageous for scalability.

Features: IBM Application Performance Management includes comprehensive monitoring tools, detailed analytics, and real-time performance tracking. AWS Auto Scaling offers seamless scalability, integration within the AWS ecosystem, and automated resource management.

Room for Improvement: IBM Application Performance Management needs better integration with non-IBM products, more intuitive configuration options, and a simplified user interface. AWS Auto Scaling requires improved compatibility with hybrid and on-premise environments, more granular control options, and enhanced reporting capabilities.

Ease of Deployment and Customer Service: IBM Application Performance Management has a complex setup but provides strong customer support. AWS Auto Scaling is easier to deploy but has mixed reviews regarding customer support.

Pricing and ROI: IBM Application Performance Management has higher initial setup costs but is seen as providing significant ROI through its monitoring capabilities. AWS Auto Scaling offers a more attractive pricing structure, particularly cost-efficient for dynamic workloads.

To learn more, read our detailed AWS Auto Scaling vs. IBM Application Performance Management Report (Updated: April 2026).

Buyer's Guide

AWS Auto Scaling vs. IBM Application Performance Management

April 2026

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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

14th

Average Rating

8.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Application Performance...

Ranking in Application Performance Monitoring (APM) and Observability

57th

Average Rating

6.4

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.5%, up from 0.1% compared to the previous year. The mindshare of IBM Application Performance Management is 0.6%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
AWS Auto Scaling	0.5%
IBM Application Performance Management	0.6%
Other	98.9%

Application Performance Monitoring (APM) and Observability

Featured Reviews

AmitMishra1

Software Engineer II at Jash Data Sciences

Automatic scaling has reduced costs and handles unpredictable traffic spikes for critical APIs

From my experience, the best features AWS Auto Scaling offers include target tracking scaling, which is very easy to configure. It also integrates with CloudWatch metrics, which is very important, and provides scheduled scaling, which helps some organizations. Two of my clients are using that. Predictive scaling for known traffic patterns and seamless integration with ALBs, ECS, and EC2 are also my favorite features of AWS Auto Scaling. Out of those features, target tracking scaling has saved me the most time and effort, making it my favorite feature. I find predictive scaling useful but in real-world scenarios, we rely more on dynamic scaling. AWS Auto Scaling has positively impacted my organization as it simplifies scaling decisions. I just need to define our target, such as CPU percentage, and AWS Auto Scaling handles everything. There is no need to fine-tune complex scaling rules, which has helped a lot. It has also significantly improved system reliability and reduced costs, as we no longer worry about sudden traffic spikes and we are not overpaying for idle resources. This has saved us significant costs, estimating around 25 to 30 percent after fine-tuning the scaling policy.

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Daniel Tamiru

Manager, Database & System Administration at Awash International Bank

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…

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The most valuable feature of the solution is that it scales automatically without manual intervention based on the metrics we provide."

"AWS Auto Scaling is very good for managing traffic and creating new instances when necessary."

"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."

"AWS Auto Scaling has positively impacted my organization as it simplifies scaling decisions, significantly improved system reliability, and reduced costs, as we no longer worry about sudden traffic spikes and we are not overpaying for idle resources, saving us an estimated 25 to 30 percent after fine-tuning the scaling policy."

"Our internal business applications are hosted in AWS Auto Scaling."

"The solution helps optimize the cost of the AWS environment."

"The product provides self-healing features."

More AWS Auto Scaling pros

"The initial setup was straightforward and took minimal effort."

"Specifically, with IBM, the visibility into detailed process information is more tangible, as on the OS level APM displays all processes (or the top 10 processes) that are consuming CPU or resident memory, which is the most important thing that is not always available with other vendors."

"The initial setup was straightforward and took minimal effort."

"I would rate the scalability an eight out of ten."

"IBM Application Performance Management has improved the way my organization is able to function."

"The most valuable feature is the breakdown that it provides, such as a description of the fields for a particular transaction."

"It's easy to use."

"The most valuable feature is the breakdown that it provides, such as a description of the fields for a particular transaction."

More IBM Application Performance Management pros

Cons

"The billing and cost optimization of the solution could be improved."

"It requires a downtime before deploying the Auto Scaling group."

"In comparison to other public clouds, the product is costly."

"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."

"Setting up the configuration involves too much work for the cloud engineer."

"The tool must include AI features."

"Setting up the configuration involves too much work for the cloud engineer, like configuring the ALB, the target group, and all the steps."

More AWS Auto Scaling cons

"The technical support is not really good, I must say."

"The solution, itself, has a negative impact on the performance of the machine."

"With APM, we noticed that the agent can cause a lot of issues for the application, making the agent very unreliable."

"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."

"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 stability is not great and should be better."

More IBM Application Performance Management cons

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 has moderate pricing."

"The product is expensive."

"AWS Auto Scaling is an expensive solution."

"The pricing is good. I have not had any customers that have complained about the price."

"IBM APM is one of the cheaper products on the market, while everything necessary to get started is included in the license."

"The licensing fees can be paid every six months or on a yearly basis."

"As I previously indicated, I initiated the IBM and uncovered all its elements. Consequently, I'm not inclined towards a licensing approach."

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Top Industries

By visitors reading reviews

Construction Company

13%

Financial Services Firm

11%

Educational Organization

Comms Service Provider

Financial Services Firm

19%

Construction Company

12%

Healthcare Company

10%

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	2
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	1
Large Enterprise	2

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...

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What is your experience regarding pricing and costs for AWS Auto Scaling?

I'm not sure about the pricing aspect of AWS Auto Scaling or the cost of it.

See all answers

What needs improvement with AWS Auto Scaling?

AWS Auto Scaling can be improved in many ways, such as providing better visibility into scaling decisions and clarifying why exactly scaling happens. Sometimes, I am not sure why scaling occurs. Ea...

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Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

April 2026

Download AWS Auto Scaling product report

Buyer's Guide

Application Performance Monitoring (APM) and Observability

April 2026

IBM Application Performance Management report

Download IBM Application Performance Management product report

Also Known As

AWS Auto-Scaling

IBM APM

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.

Amazon Web Services (AWS)

The IBM Application Performance Management portfolio provides visibility, control and automation of your mission-critical applications. It helps pinpoint the root cause of application's issue more quickly and resolve the problem. The integrated capabilities cover the five key areas: discovery, end-use experience, transaction tracking, enterprise diagnostics and analytics. It also easily monitors applications to ensure optimal performance to extend your hybrid management environment capabilities, to measure the customer experience from multiple locations and to further eliminate blind spots in your application environment.

IBM

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Mibtree, EatDrinkDeals.com, IT Performance Advisor

Buyer's Guide

AWS Auto Scaling vs. IBM Application Performance Management

April 2026

Free Report: AWS Auto Scaling vs. IBM Application Performance Management

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