AWS Auto Scaling vs OpenText Diagnostics comparison

Amazon Web Services (AWS) and OpenText are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #15 with an average rating of 8.8, while OpenText is ranked #59. Amazon Web Services (AWS) holds a 0.4% mindshare in APM, compared to OpenText’s 0.6% mindshare. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 75% of OpenText users who would recommend it.

AWS Auto Scaling

Read 22 AWS Auto Scaling reviews

1,113 Views
1,046 Comparison Views

91% willing to recommend

OpenText Diagnostics

Read 4 OpenText Diagnostics reviews

989 Views
979 Comparison Views

75% willing to recommend

AWS Auto Scaling

OpenText Diagnostics

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 24, 2024

OpenText Diagnostics and AWS Auto Scaling are competitive solutions for diagnostics and auto-scaling needs. AWS Auto Scaling appears to have the upper hand due to its feature-rich offerings, superior customer support, and scalability, despite higher pricing.

What features are offered by OpenText Diagnostics in comparison to AWS Auto Scaling?

OpenText Diagnostics offers comprehensive diagnostic analytics, detailed reporting capabilities, and valuable detailed insights. AWS Auto Scaling provides seamless horizontal scaling, robust automation features, and extensive scalability options.

What areas of improvement can be found in OpenText Diagnostics in comparison to AWS Auto Scaling?

OpenText Diagnostics could enhance its integration capabilities, improve performance during peak loads, and refine customer service responsiveness. AWS Auto Scaling users recommend better customizability, more user-friendly configuration options, and more extensive integration possibilities.

How is the ease of deployment and customer service of OpenText Diagnostics in comparison to AWS Auto Scaling?

OpenText Diagnostics is noted for its straightforward deployment, complemented by mixed feedback on customer service responsiveness. AWS Auto Scaling has a smooth deployment process and excellent customer service, making it favorable for users.

What setup costs and ROI can be seen with OpenText Diagnostics in comparison to AWS Auto Scaling?

OpenText Diagnostics users highlight its affordable setup costs and strong ROI, especially for SMEs. AWS Auto Scaling's higher pricing is justified by its extensive features, providing significant ROI in scalability and automation benefits. AWS Auto Scaling delivers better value despite the higher cost.

To learn more, read our detailed AWS Auto Scaling vs. OpenText Diagnostics Report (Updated: March 2026).

Buyer's Guide

AWS Auto Scaling vs. OpenText Diagnostics

March 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

15th

Average Rating

8.8

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

OpenText Diagnostics

Ranking in Application Performance Monitoring (APM) and Observability

59th

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.4%, up from 0.1% compared to the previous year. The mindshare of OpenText Diagnostics is 0.6%, up from 0.2% 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	0.4%
OpenText Diagnostics	0.6%
Other	99.0%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Ishaka Michael Efe

DevOps Engineer Intern at HNG Tech

Automation has simplified traffic management and improved workload efficiency

I'm not really sure what improvements I would want to see in AWS Auto Scaling because I haven't really used it extensively or explored most of it. To the extent that I've used it so far, I think it is very good. I can't really say for certain what should be improved because I haven't really explored it a lot. However, what I've been using it for has been very good. If there could be training for AWS Auto Scaling, that would be fine. If you could add more training on how to use it correctly and on the functions that I haven't used before or some people have not really used before, that would help. If there could be more documentation and training on it, that would be beneficial.

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Ravi Suvvari

Performance and Fault-tolerance Architect with 1,001-5,000 employees

Very good for transaction level monitoring, but expensive and HP needs better support and training

HP Diagnostics is a very good monitoring tool especially for transaction level monitoring -- it shows hot spots which can be drilled down to DB level, table, query, SP's, record and field level and also at Object level, Classes level,method or Augment levels instead of pinpointing bottlenecks at layer level it goes deep inside for information. It has very good tracing capabilities despite being an agent based tool compared to other agent less monitoring tools. Overall a very good tool for monitoring application diagnostics for quick and easy resolution with help of thread information. Drills down from slow, end-user transactions to the bottle necked component, method, or SQL statement, helping to solve memory, exception, and other common problems Key features and benefits • Automatically detects all components touched by a business process and traces them with no user intervention • Provides complete application visibility across the application lifecycle, enabling higher application quality when applications go live • Reduces mean time to resolution (MTTR) in your J2EE, .NET, ERP, or CRM (SAP, Oracle®, PeopleSoft) environment • Integrates fully with HP Business Availability Center software, HP LoadRunner, and HP Performance Center.

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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

"It helps us to reduce the cost."

"It can scale."

"I would highly recommend Auto Scaling to others because it is a fantastic feature that simplifies scaling processes and makes deployment efficient."

"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."

"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."

"The setup is not very complex."

More AWS Auto Scaling pros

"The diagnostics and configuration are the solution's most valuable aspects."

"For banking and telecom solutions, it's been quite useful."

"The most valuable feature of Micro Focus Diagnostics is the information reported from an application that has timed out. For example, when you're Googling, or you're booking a ticket for Burj Khalifa here, the longest tower in the world, there are situations where the system can time out. There are times when you might not receive a response on the payment gateway or you are not able to find the reservation. The customer only receives the information that the session has timed out."

"For banking and telecom solutions, it's been quite useful."

"HP Diagnostics is a very good monitoring tool especially for transaction level monitoring -- it shows hot spots which can be drilled down to DB level, table, query, SP's, record and field level and also at Object level, Classes level, method or Augment levels instead of pinpointing bottlenecks at layer level it goes deep inside for information."

"The information from the diagnostics is detailed."

Cons

"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’s security features need improvement."

"The speed of the solution must be improved."

"There hasn't been a need for improvements."

"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 setup can be a bit complex in some situations."

"If there could be training for AWS Auto Scaling, that would be fine. If you could add more training on how to use it correctly and on the functions that I haven't used before or some people have not really used before, that would help."

"The tool must include AI features."

More AWS Auto Scaling cons

"Price is little expensive for number of license points and HP Diagnostics trainers are not available in market and no proper support from HP for any diagnotics level queries or issues."

"The interface is very old, and not very user-friendly."

"The interface could be more user friendly."

"The GUI and metrics of Micro Focus Diagnostics can be improved. The metrics the solution gathers can be limited and could be enhanced by giving more details."

"The interface is very old, and not very user-friendly. Most of our clients don't like the UI."

"The GUI and metrics of Micro Focus Diagnostics can be improved."

"The interface could be more user friendly."

Pricing and Cost Advice

"The product is expensive."

"AWS Auto Scaling is an expensive solution."

"AWS Auto Scaling is a cheap solution."

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

"AWS Auto Scaling's price is high."

"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."

"The product has moderate pricing."

Information not available

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Top Industries

By visitors reading reviews

Construction Company

13%

Comms Service Provider

Educational Organization

Manufacturing Company

Construction Company

15%

Performing Arts

11%

Manufacturing Company

10%

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	2
Large Enterprise	11

No data available

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.

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What needs improvement with AWS Auto Scaling?

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Comparisons

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Compared 22% of the time

Akamai mPulse vs AWS Auto Scaling

Compared 18% of the time

Splunk ITSI (IT Service Intelligence) vs AWS Auto Scaling

Compared 18% of the time

Splunk Enterprise Security vs AWS Auto Scaling

Compared 13% of the time

OpenText SiteScope vs AWS Auto Scaling

Compared 10% of the time

More AWS Auto Scaling Competitors

Dynatrace vs OpenText Diagnostics

Compared 18% of the time

Splunk AppDynamics vs OpenText Diagnostics

Compared 17% of the time

Splunk Observability Cloud vs OpenText Diagnostics

Compared 14% of the time

Correlsense SharePath vs OpenText Diagnostics

Compared 13% of the time

OpenText SiteScope vs OpenText Diagnostics

Compared 12% of the time

More OpenText Diagnostics Competitors

Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

March 2026

Download AWS Auto Scaling product report

Buyer's Guide

Application Performance Monitoring (APM) and Observability

March 2026

Download OpenText Diagnostics product report

Also Known As

AWS Auto-Scaling

Micro Focus Diagnostics, MF Diagnostics

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)

Diagnostics software monitors application transaction health in traditional, virtualized and cloud environments allowing quick isolation and resolution of issues. It gives you a common tool to easily collaborate across the entire application lifecycle and release higher-quality applications. Diagnostics software provides deep drill down into transactions from the end user through the back end. And it uniquely serves as a single tool set for pre-production and production to diagnose application performance bottlenecks quickly and improve quality.

OpenText

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

BSkyB, Alior Bank

Buyer's Guide

AWS Auto Scaling vs. OpenText Diagnostics

March 2026

Free Report: AWS Auto Scaling vs. OpenText Diagnostics

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