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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 health check integration feature ensures that the instances are healthy and capable of absorbing traffic, thus serving their purpose effectively."
"It helps us to reduce the cost."
"It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."
"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."
"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."
"The solution helps optimize the cost of the AWS environment."
"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."
"One of the most valuable features is that it can be configured by non-developers. It doesn't require development expertise to configure it."
"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 always appreciate Geneos's stability and ease of use."
"The solution's log monitoring and alerting mechanisms are very user-friendly and easy to plug and play."
"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."
"The ability to build integrations to tools that are not monitored out of the box is the most valuable feature."
"One of the most valuable features of ITRS Geneos is the active time feature that helps with the trading applications that I support."
 

Cons

"Setting up the configuration involves too much work for the cloud engineer."
"We can have more auto scaling algorithms implemented in AWS Auto Scaling."
"It has latency issues. It depends on the distribution used, whether it's Amazon Linux, Windows Linux, etc. Occasionally, there are latency issues, which might lead to slower performance."
"In comparison to other public clouds, the product is costly."
"The solution's infrastructure scalability and elasticity could be improved."
"The product could add more features for managing instances."
"The billing and cost optimization of the solution 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."
"They have the Webslinger solution where you can see when something is alerting. It's a little bit cumbersome."
"There is one drawback to using lightweight data collection: we lack the feature of observability based on time series, such as historical model data. This makes it difficult to view data in ITRS. ITRS needs to improve this feature."
"The main feature that needs work is the Dashboard designer."
"ITRS Geneos is not on the cloud at a time when everyone is moving to the cloud."
"t needs to have better middleware integration for things such as application and Microsft SQL servers."
"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."
"Backward compatibility with deprecated features and in system documentation on what configuration areas are needed to be updated."
"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."
 

Pricing and Cost Advice

"The product is expensive."
"AWS Auto Scaling is an expensive solution."
"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."
"AWS Auto Scaling's price is high."
"AWS Auto Scaling is a cheap solution."
"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."
"Given our spend and the amount of service we have in it, the pricing is quite reasonable."
"You will get the best price if you get a single global deal."
"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."
"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."
"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."
"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."
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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.
884,656 professionals have used our research since 2012.