No more typing reviews! Try our Samantha, our new voice AI agent.

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

"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."
"It can scale."
"It is a stable platform."
"The automation aspect where you can automate it to whatever you want is what I value the most about Auto Scaling."
"AWS Auto Scaling is very good for managing traffic and creating new instances when necessary."
"The various scaling options available, such as step scaling, are particularly useful."
"AWS Auto Scaling is very good for managing traffic and creating new instances when necessary."
"It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."
"The clean and colorful UI and easy to use options like snooze and active times."
"It's a very good tool to use and everybody is very happy with it."
"Ability to monitor logs for potential issues to prevent app outages before problems get a chance to arise. That's invaluable for our teams in a fast-paced trading environment."
"The ability to build integrations to tools that are not monitored out of the box is the most valuable feature."
"It's a great and powerful tool."
"Tons of default modules which are available out of the box"
"It is better than any monitoring product I've ever used in terms of providing real-time metric data."
"Real-time log monitoring with desktop alerts is valuable as it tells us immediately when there is an issue."
 

Cons

"The only area of improvement is the speed at which servers are launched."
"The solution is not out-of-the-box and you have to study to use it. It should be more easier to use."
"The speed of the solution must be improved."
"The tool must include AI features."
"It requires a downtime before deploying the Auto Scaling group."
"The product could add more features for managing instances."
"AWS Auto Scaling's documentation could be better."
"We can have more auto scaling algorithms implemented in AWS Auto Scaling."
"I would like better access to the data that is being collected."
"ITRS Geneos is not on the cloud at a time when everyone is moving to the cloud."
"Much of the reporting outside of the user interface is very basic and requires much customization to be useful."
"There is are issues with the compatibility of plugins with AIX servers."
"The initial setup was a bit complex."
"Technically, I believe the dashboard functionality can be more configurable as some shapes are very limited with what they can do."
"The deployment method for upgrading is a bit tricky. It takes a little bit of manual effort."
"The main feature that needs work is the Dashboard designer. Currently we have to export metrics data in real-time into some other visualization tools in order to get better picture and have a bit more functional dashboard."
 

Pricing and Cost Advice

"The product has moderate pricing."
"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."
"The product is expensive."
"AWS Auto Scaling is an expensive solution."
"AWS Auto Scaling's price is high."
"AWS Auto Scaling is a cheap solution."
"The pricing is good. I have not had any customers that have complained about the price."
"Pricing and licensing is based on the requirements."
"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 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."
"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 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."
"I can say it's not that cheap because the licensing is a little bit costly"
"The pricing seems reasonable. We're happy enough with it."
"The pricing is fairly market-related. They have been very lenient because we have been working with them for so long. An example is that we're currently migrating some of our services to AWS, and they've given us a grace period for some of the things to help with the migration and not to grow additional costs while we are migrating, but it's still on par with the market."
report
Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.
886,349 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
12%
Financial Services Firm
11%
Educational Organization
8%
Comms Service Provider
8%
Financial Services Firm
66%
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.
886,349 professionals have used our research since 2012.