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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
Dev Ops And Ui Tech Lead 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.
reviewer2127225 - PeerSpot reviewer
Monitoring Specialist at a financial services firm with 51-200 employees
Does real-time monitoring, prevents failures, and has a reasonable price
Their cloud monitoring solution needs to be improved. I have already given them the feedback that it's not capable of meeting the latest technology needs. It's built like proprietary software. I can't expose the data to ITRS, and similarly, ITRS can't expose the data to the outside world. They have created a boundary. It's a bit binding solution. In the modern world, people like to be able to expose the data to do whatever they want. They can query the data, send it, or pull it. ITRS needs to provide more in terms of the API offering. They have documentation, but they can improve the documentation and provide videos to show how to do monitoring configuration or deployment.

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."
"The tool gives you the flexibility to scale up and grow. The solution is also fast to deploy."
"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."
"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."
"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 setup is not very complex."
"In my experience, being able to monitor our databases is a valuable feature as we can create our own queries and aren't reliant on the in-built ones."
"ITRS is the best monitoring tool I have used so far."
"Complete end-to-end monitoring of apps and infrastructure with key performance metrics to identify and reduce transaction latencies."
"Geneos enables customized aggregate views and alerts for both related and disparate components, and this flexibility and insight facilitates proactive and prompt causation analysis so you can easily see everything at once and know why there is an issue within seconds rather than spend precious time trying to find out."
"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 filtering in the Active Console is exceptional. Depending on the user base, some people don't want to see server-level errors, so we have filters set up in the Managed Entities view, which allow us to filter out things that certain groups don't want to see, while allowing them to see other things. It's a great real-time monitoring solution. And you can draw graphs immediately, right from the Active Console, whether they're current graphs or historical graphs."
"ITRS Active Console has helped us monitor servers and set thresholds for different metrics, is easy to setup, works with different kinds of servers, and also helps you execute shell scripts as a response to alerts."
"We use Geneos to monitor our own development and production environments, and due to its automation capabilities we are able to automatically restart failed processes and alert our developers to issues in our applications and infrastructure without traditional eyes on glass monitoring."
 

Cons

"The tool must include AI features."
"Flexibility in configuring the workload is missing in AWS Auto Scaling."
"AWS Auto Scaling's documentation could be better."
"Setting up the configuration involves too much work for the cloud engineer."
"The tool's stability could be improved."
"The solution is not out-of-the-box and you have to study to use it. It should be more easier to use."
"In comparison to other public clouds, the product is costly."
"The setup can be a bit complex in some situations."
"At the moment Geneos is excellent and handling real time monitoring, however not great at doing historical reporting."
"I would really like to see something from the Geneos side to set up automated reporting from ITRS."
"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."
"The initial setup was a bit complex."
"Much of the reporting outside of the user interface is very basic and requires much customization to be useful."
"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."
"Data visualization – real time and historical – is a weakness."
"It needs to be easier to configure, especially with the JMX plugins."
 

Pricing and Cost Advice

"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."
"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."
"The product is expensive."
"AWS Auto Scaling is an expensive solution."
"The product has moderate pricing."
"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."
"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."
"You will get the best price if you get a single global deal."
"I can say it's not that cheap because the licensing is a little bit costly"
"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."
"The pricing seems reasonable. We're happy enough with it."
"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."
"Pricing and licensing is based on the requirements."
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Top Industries

By visitors reading reviews
Construction Company
12%
Financial Services Firm
11%
Educational Organization
8%
Comms Service Provider
8%
Financial Services Firm
67%
Computer Software Company
6%
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...
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: April 2026.
886,011 professionals have used our research since 2012.