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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
35th
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
57
Ranking in other categories
Network Monitoring Software (64th), IT Infrastructure Monitoring (44th)
 

Mindshare comparison

As of February 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 Market Share Distribution
ProductMarket Share (%)
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

"It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."
"When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements."
"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 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."
"The solution's monitoring effectively monitors our application and CPU utilization."
"The setup is not very complex."
"AWS Auto Scaling is very good for managing traffic and creating new instances when necessary."
"AWS Auto Scaling is very good for managing traffic and creating new instances when necessary."
"The flexibility of the product is most valuable. It is highly customizable. If you put your mind to it and think of something you could do, there's a good possibility you can get it integrated within the console, if it's not readily available. The simplicity or ease of customization has been valuable."
"The solution is used across the entire investment banking division, covering environments such as electronic trading, algo-trading, fixed income, FX, etc. It monitors that environment and enables a bank to significantly reduce down time. Although hard to measure, since implementation, we have probably seen some increased stability because of it and we have definitely seen teams a lot more aware of their environment. Consequently, we can be more proactive in challenging and improving previously undetected weaknesses."
"The NetProbe carries over 100 samplers which are capable of monitoring hardware, OS, and the application layer."
"This tool allows one to analyse, integrate and customize as per the systems and allows you to set your own rules."
"One of the most valuable features is that it can be configured by non-developers. It doesn't require development expertise to configure it."
"The built-in plug-ins allow administrators to easily configure monitoring components for market data systems such as Thomson Reuters Enterprise Platform and SRLabs Wombat (formerly NYSE)."
"The solution's log monitoring and alerting mechanisms are very user-friendly and easy to plug and play."
"The ability to completely tailor and customize what it's monitoring is one of its strongest points. A lot of other monitoring tools are good at certain things, but one of my colleagues described it as the “Swiss Army Knife” of monitoring tools. It can do anything you want."
 

Cons

"The setup can be a bit complex in some situations."
"The product’s security features need improvement."
"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's stability could be improved."
"The product could add more features for managing instances."
"AWS Auto Scaling's documentation could be better."
"The billing and cost optimization of the solution could be improved."
"Flexibility in configuring the workload is missing in AWS Auto Scaling."
"I would like better access to the data that is being collected."
"Geneos' application monitoring could be improved a lot. Products like AppDynamics and Dynatrace provide the process thread-level monitoring, but Geneos lacks these capabilities."
"Data visualization – real time and historical – is a weakness."
"t needs to have better middleware integration for things such as application and Microsft SQL servers."
"At the moment Geneos is excellent and handling real time monitoring, however not great at doing historical reporting."
"For the solution to stay relevant in the cloud-based monitoring environment Geneos needs more plug-ins with more features. Instead of offering clients workarounds, the solution should have a cloud-based out-of-the-box version."
"The deployment method for upgrading is a bit tricky. It takes a little bit of manual effort. If that could be a bit more automated, it would help us a lot."
"Currently, it is difficult to monitor secure websites using SSL or with SSO enabled."
 

Pricing and Cost Advice

"The pricing is good. I have not had any customers that have complained about the price."
"The product is expensive."
"AWS Auto Scaling is an expensive solution."
"AWS Auto Scaling is a cheap solution."
"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."
"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."
"You will get the best price if you get a single global deal."
"The market tools are on par with this solution, but if the solution included more features, then it would be well within the range for the cost."
"The organization is not just purchasing a license for the product, but also managing services and professional services from ITRS. Another factor is if the implementation is going to be in production, non-production, or both."
"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."
"It is expensive. They have to look at the model around when we move to cloud and how that's going to work. The licensing cost does pay off because of the improvements in support to our business."
"The pricing seems reasonable. We're happy enough with it."
"When I first came in, their pricing was very high. ITRS had a high expectation of what their price should be based on perceived value. I think they have been realizing, more recently, that there are other competitors, so their pricing is a lot better. Licensing for on-premise is okay, however I feel there is quite some work to be done for cloud and containers. We're still working with them to try and work out what that pricing should look like."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
69%
Computer Software Company
5%
Construction Company
3%
Outsourcing Company
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: February 2026.
881,455 professionals have used our research since 2012.