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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
14th
Average Rating
8.8
Reviews Sentiment
6.6
Number of Reviews
23
Ranking in other categories
No ranking in other categories
ITRS Geneos
Ranking in Application Performance Monitoring (APM) and Observability
48th
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
57
Ranking in other categories
Network Monitoring Software (74th), IT Infrastructure Monitoring (50th)
 

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 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 Scaling0.5%
ITRS Geneos1.0%
Other98.5%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

AmitMishra1 - PeerSpot reviewer
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.
Sanket - PeerSpot reviewer
Chief Manager at a marketing services firm with 501-1,000 employees
With the help of the solution, we can predict and prevent failures
Currently, the most valuable thing for an individual is a mobile device. Since that is where people are currently tracking everything, we have multiple applications or apps that are for various products. 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. Using the ITRS Geneos app, we could see the error message during our travels or wherever we are. I would like to see the capacity of messages for forecasting increased. Since the NSE is the number one derivative stock exchange in the work for three consecutive years, the number of messages is important. We use the capacity planner in ITRS to forecast our data needs for the next two months. The planner is important because the volume of data we produce is becoming more and more volatile compared to when we first started using ITRS Geneos in 2014.

Quotes from Members

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

Pros

"The solution helps optimize the cost of the AWS environment."
"I like the graphs provided by the tool."
"Our internal business applications are hosted in AWS Auto Scaling."
"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."
"When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements."
"It is a stable platform."
"AWS Auto Scaling is cost-effective and very useful for businesses."
"AWS Auto Scaling is very good for managing traffic and creating new instances when necessary."
"The 'start of day' (SOD) and 'end of day' (EOD) checks were automated by using this tool, thus reducing the amount of manual work needed by almost two hours per day."
"It's a very good tool to use and everybody is very happy with it."
"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."
"It's a very effective and productive tool, and avoids any major incidents."
"It has helped us re-define the Monitoring operating model which in turn has made support teams more efficient by using features like commented snoozing on various levels, use of knowledgebase articles associated with each alert cell, metric logging for capacity monitoring etc."
"The tool is highly customizable and can be tailored to your requirements."
"The monitoring of queues which helps us to stay ahead of issues and fix them before users start complaining."
"The Netprobe is so lightweight compared to the agents that most monitoring tools use. It's really superior to the competition. The agent that is used by almost every competitive tool takes a lot more system resources. It's slower and it requires a greater effort and more compromises in terms of security to install on the monitored servers. With Geneos, because it lives outside the code, it is far easier and far less taxing on the monitored systems."
 

Cons

"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."
"AWS Auto Scaling can be improved in many ways, such as providing better visibility into scaling decisions and clarifying why exactly scaling happens."
"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 pricing needs improvement."
"In comparison to other public clouds, the product is costly."
"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."
"The product could add more features for managing instances."
"At the moment Geneos is excellent and handling real time monitoring, however not great at doing historical reporting."
"Sometimes there were issues with the database. If the database logging was high then the gateway would be slow."
"One area where there is room for improvement is the log file. I would like to be able to do a pre-run on the log files. When you are testing log files for regular expressions, it would be good to be able to do a quick check up front on that side of things before you release that into production."
"There is are issues with the compatibility of plugins with AIX servers."
"As far as I know, ITRS does not have integration with any version control system."
"Data visualization – real time and historical – is a weakness."
"Some aspects of dashboarding are very proprietary and it makes it difficult, at times, to replicate your work easily."
"Much of the reporting outside of the user interface is very basic and requires much customization to be useful."
 

Pricing and Cost Advice

"AWS Auto Scaling is a cheap solution."
"AWS Auto Scaling is an expensive solution."
"AWS Auto Scaling's price is high."
"The product is expensive."
"The product has moderate pricing."
"The pricing is good. I have not had any customers that have complained about the price."
"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."
"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 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."
"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."
"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."
"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."
"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."
"You will get the best price if you get a single global deal."
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Top Industries

By visitors reading reviews
Construction Company
13%
Financial Services Firm
11%
Educational Organization
8%
Comms Service Provider
8%
Financial Services Firm
66%
Computer Software Company
5%
Construction Company
3%
Outsourcing Company
3%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business13
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...
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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: April 2026.
889,855 professionals have used our research since 2012.