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AWS Auto Scaling vs ITRS Geneos 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
6.0
Number of Reviews
22
Ranking in other categories
No ranking in other categories
ITRS Geneos
Ranking in Application Performance Monitoring (APM) and Observability
34th
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
57
Ranking in other categories
Network Monitoring Software (64th), IT Infrastructure Monitoring (45th)
 

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 ITRS Geneos is 1.0%, down from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
AWS Auto Scaling0.4%
ITRS Geneos1.0%
Other98.6%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Ishaka Michael Efe - PeerSpot reviewer
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.
DeepakR - PeerSpot reviewer
Site Reliability Engineer(Observability) at Sapiens
If one server fails, the agent will automatically be reinstalled
ITRS Geneos is a legacy system. It predicts or provides proactive measures once an issue is resolved. It doesn't offer any predictive capabilities or root cause analysis. They throw a lot of data if there's a 90% error. You need to check which process is consuming more CPU and determine the root cause for yourself. You need to troubleshoot it manually. This legacy system could introduce predictive analysis and root cause identification. They are reluctant to switch to newer solutions, which may require writing queries to fetch data. Manually logging into servers, checking CPU usage, identifying processes, and determining root causes is time-consuming. Once the root cause is identified, the issue can be resolved efficiently. The manual troubleshooting process is time-consuming. The content is not openly available in the market. If you search for it somewhere, it is not readily accessible. If you want to try it out, no trial version is available. Therefore, it will be challenging to learn. Loading ITRS is difficult, as you need to purchase it first. Secondly, only a few people are knowledgeable about ITRS in the market, making it challenging to find resources. Thirdly, the documentation must be well-documented, making finding content or training material hard. The UI also needs to be updated, which adds to the difficulty.

Quotes from Members

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

Pros

"The various scaling options available, such as step scaling, are particularly useful."
"It helps us to reduce the cost."
"AWS Auto Scaling is cost-effective and very useful for businesses."
"It can scale."
"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. When it reaches seventy percent, it sends me an email notification."
"I would highly recommend Auto Scaling to others because it is a fantastic feature that simplifies scaling processes and makes deployment efficient."
"The automation aspect where you can automate it to whatever you want is what I value the most about Auto Scaling."
"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."
"One of the best aspects of Geneos is that it has a broad scope and can cover a lot of use cases. You can write your own scripts to monitor really specific things. And the rules that you can put in place can be quite complex for the alerts."
"I would say that it is an easy-to-use monitoring tool. Amongst the available monitoring tools, it is a really good option."
"Tons of default modules which are available out of the box"
"The biggest benefit of Geneos is the fact that we can clearly see, if we have an alert, where that alert has come from. We can see the data around that alert and anything that might be relevant is also shown. We can very easily right-click and see why we've received that alert. That's the best part about it, that you've got all the data there with the alerting."
"The NetProbe carries over 100 samplers which are capable of monitoring hardware, OS, and the application layer."
"The solution's log monitoring and alerting mechanisms are very user-friendly and easy to plug and play."
"The great advantage of this tool is real-time monitoring."
"I always appreciate Geneos's stability and ease of 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."
"AWS Auto Scaling's documentation could be better."
"The tool's stability could be improved."
"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 product could add more features for managing instances."
"Flexibility in configuring the workload is missing in AWS Auto Scaling."
"The product’s security features need improvement."
"The billing and cost optimization of the solution could be improved."
"I would like ITRS Geneos to develop an app, where instead of going to specific login terminals or logging into laptops or desktops to check alerts, we can have visibility in the app itself."
"I would really like to see something from the Geneos side to set up automated reporting from ITRS. We have to send reporting to management every day. To do that we have to check the dashboard and then we have to report whether everything is fine or not. In the future, I want something, some reporting kind of feature in ITRS, where it can collect all the data and mention what is green, what is amber, what is red in a report."
"Mobile phone integration is probably not as rich as it could be."
"One thing that could be improved in terms of rapid scaling would be more ability to clone aspects of an implementation. It seems like there are opportunities in this area, where we have repetitive tasks to do when it comes to implementing things on new servers or on new gateways. It would be great if there was an easy way to clone something that had already been done."
"ITRS have started to make some major changes that we haven't taken on board yet, in the creation of dashboards and more visibility of the metrics that we collect. At the moment, that's something that's lacking, but I know they have addressed it. Still, it’s not that easy to create stuff to help with visibility and dashboarding in Geneos."
"We all look at the same things - CPU, disk space, paging stats, service status with RAG status on each. That could be provided straight out, saving significant time."
"Currently, it is difficult to monitor secure websites using SSL or with SSO enabled."
"Geneos' application monitoring could be improved a lot. Products like AppDynamics and Dynatrace provide the process thread-level monitoring, but Geneos lacks these capabilities."
 

Pricing and Cost Advice

"The product has moderate pricing."
"The product is expensive."
"AWS Auto Scaling's price is high."
"AWS Auto Scaling is an expensive solution."
"The pricing is good. I have not had any customers that have complained about the price."
"AWS Auto Scaling is a cheap solution."
"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."
"Pricing is the touchy subject, even here. Upper management always wants us to find a cheaper solution. But we have so much integrated with ITRS... It's expensive, but it does its job very well. And you set it and go."
"Based on feedback from colleagues and friends working in the financial sector, Geneos is relatively costly. Many companies have been switching from Geneos to Dynatrace, Sysdig, or other monitoring tools in the past two years because of the price."
"The pricing seems reasonable. We're happy enough with it."
"ITRS Geneos is not a cheap tool. It's a moderate price for the banking industry. The reason we are not able to add the ITRS monitoring tool for the non-banking industries, and non-finance industries, is that the pricing is too high."
"The licensing cost may seem expensive upfront. However, the service is outstanding, the tool does things that no other tools can do, and the customizability more than makes up for the cost of licensing."
"The product is priced quite high. There are pricing options for customers based on the size of the environment and plug-ins used by the monitoring system."
"Its price is reasonable. It isn't too expensive, and it isn't too cheap, but it also depends on a company's volume and negotiation."
"Pricing and licensing is based on the requirements."
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Top Industries

By visitors reading reviews
Manufacturing Company
11%
Educational Organization
11%
Comms Service Provider
9%
Performing Arts
7%
Financial Services Firm
69%
Computer Software Company
6%
Outsourcing Company
2%
Real Estate/Law Firm
2%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise2
Large Enterprise11
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise12
Large Enterprise39
 

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?
I'm not sure about the pricing aspect of AWS Auto Scaling or the cost of it.
What needs improvement with AWS Auto Scaling?
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...
What is your experience regarding pricing and costs for ITRS Geneos?
The pricing is high. Licensing fees might be around 500$ per server monthly.
What needs improvement with ITRS Geneos?
ITRS Geneos is a legacy system. It predicts or provides proactive measures once an issue is resolved. It doesn't offer any predictive capabilities or root cause analysis. They throw a lot of data i...
What is your primary use case for ITRS Geneos?
ITRS offers multiple products, including upgrades for synthetic monitoring and a SaaS platform. Geneos is used for infrastructure monitoring, covering KPIs such as CPU, memory, processes, network l...
 

Also Known As

AWS Auto-Scaling
Geneos
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
ITRS Geneos is used by over 170 financial institutions, including JPMorgan, HSBC, RBS, Deutsche Bank and Goldman Sachs. Clients range from investment banks to exchanges and brokers.
Find out what your peers are saying about AWS Auto Scaling vs. ITRS Geneos and other solutions. Updated: March 2026.
884,732 professionals have used our research since 2012.