AWS Auto Scaling vs Cross-Enterprise Application Performance Management comparison

Why PeerSpot?

Amazon Web Services (AWS) and Broadcom are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #41 with an average rating of 8.7, while Broadcom is ranked #82. Amazon Web Services (AWS) holds a 0.5% mindshare in APM, compared to Broadcom’s 0.4% mindshare. Additionally, 92% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 50% of Broadcom users who would recommend it.

AWS Auto Scaling

Read 22 AWS Auto Scaling reviews

2,861 Views
2,747 Comparison Views

92% willing to recommend

Cross-Enterprise Applicatio...

Read 2 Cross-Enterprise Application Performance Management reviews

1,803 Views
1,767 Comparison Views

50% willing to recommend

AWS Auto Scaling

Cross-Enterprise Applicatio...

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 8, 2026

AWS Auto Scaling and Cross-Enterprise Application Performance Management compete in scalability and performance monitoring. AWS Auto Scaling has an advantage in ease of use and cost-effectiveness, while Cross-Enterprise Application Performance Management is superior in monitoring features and analytics.

Features: AWS Auto Scaling offers dynamic resource management with automatic computing capacity adjustments, ensuring cost-efficiency and high availability. It supports seamless scaling and load balancing. Cross-Enterprise Application Performance Management provides robust performance metrics, transaction tracing, and root-cause analysis, essential for maintaining optimal app performance and delivering detailed insights.

Ease of Deployment and Customer Service: AWS Auto Scaling is integrated within the AWS ecosystem, offering comprehensive documentation and reliable support. It requires minimal setup effort. Cross-Enterprise Application Performance Management requires a more complex setup process, offering advanced support systems and guided onboarding for assistance during deployment.

Pricing and ROI: AWS Auto Scaling is generally more cost-effective with a lower initial setup cost, ensuring significant ROI through efficient resource management. Cross-Enterprise Application Performance Management involves a higher upfront investment but provides substantial ROI for enterprises that focus on maximizing application performance and uptime.

To learn more, read our detailed AWS Auto Scaling vs. Cross-Enterprise Application Performance Management Report (Updated: November 2026).

Buyer's Guide

AWS Auto Scaling vs. Cross-Enterprise Application Performance Management

November 2026

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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

41st

Average Rating

8.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Cross-Enterprise Applicatio...

Ranking in Application Performance Monitoring (APM) and Observability

82nd

Average Rating

6.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.5%, up from 0.3% compared to the previous year. The mindshare of Cross-Enterprise Application Performance Management is 0.4%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
AWS Auto Scaling	0.5%
Cross-Enterprise Application Performance Management	0.4%
Other	99.1%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Ishaka Michael Efe

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.

Read full review

Mohammed Shahpoup

Senior Deputy Manager, ITSM Architect at ICT Misr

Offers a great reporting experience, with much customization and flexibility in extracting reports but it can be more user-friendly

My experience indicates that it needs enhancements in the UI. We are in 2024, and the GUI doesn't meet current expectations for user interfaces or Excel integration. Mainly, CA Service Desk has such a bad user interface. All features and systems, like servers, should have a modern graphical user interface, but CA Service Desk remains classic and still uses a desktop-based interface. It doesn't add features easily; if you need additional functionality, you have to go through many steps. Competitors like ServiceNow, Micro Focus SMAX, and ManageEngine all have better user interfaces. This is the main solution that needs improvement. I am very satisfied with the modeling systems, the grid, and the existing features, except for the graphical user interface.

Read full review

Quotes from Members

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

Pros

"I like the graphs provided by the tool."

"The most valuable feature of the solution is that it scales automatically without manual intervention based on the metrics we provide."

"I would highly recommend Auto Scaling to others because it is a fantastic feature that simplifies scaling processes and makes deployment efficient."

"Once we moved them to AWS and created the appropriate architecture, it solved the problem."

"It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."

"It is a stable platform."

"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."

"When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements."

More AWS Auto Scaling pros

"All solutions from Broadcom are very easy to install."

"The documentation and the technical support are both quite good."

Cons

"Flexibility in configuring the workload is missing in AWS Auto Scaling."

"The product’s pricing needs improvement."

"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 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."

"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."

"It could be cheaper."

"The billing and cost optimization of the solution could be improved."

More AWS Auto Scaling cons

"They lack support and presence in Egypt."

"The UI could be better. When I look at the dashboard, for example, the information looks cluttered and unorganized."

"There is still a lot of improvement that is needed in terms of stability. We figured out that it was not able to monitor or offer some forms of self-service capabilities."

Pricing and Cost Advice

"The pricing is good. I have not had any customers that have complained about the price."

"AWS Auto Scaling is a cheap solution."

"The product has moderate pricing."

"AWS Auto Scaling's price is high."

"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."

"I would rate the pricing a three out of ten, with ten being expensive. So, it is rather cheap."

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Top Industries

By visitors reading reviews

Outsourcing Company

16%

Construction Company

14%

Educational Organization

10%

Comms Service Provider

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	2
Large Enterprise	12

No data available

Questions from the Community

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.

See all answers

What needs improvement with AWS Auto Scaling?

AWS Auto Scaling can be improved in many ways, such as providing better visibility into scaling decisions and clarifying why exactly scaling happens. Sometimes, I am not sure why scaling occurs. Ea...

See all answers

What is your primary use case for AWS Auto Scaling?

My main use case for AWS Auto Scaling is automatically scaling EC2 instances behind a load balancer based on traffic, CPU, and memory usage, as well as custom CloudWatch metrics. I also use it with...

See all answers

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Comparisons

Splunk ITSI (IT Service Intelligence) vs AWS Auto Scaling

Compared 12% of the time

VMware Aria Operations for Applications vs AWS Auto Scaling

Compared 9% of the time

Akamai mPulse vs AWS Auto Scaling

Compared 4% of the time

Snyk vs AWS Auto Scaling

Compared 4% of the time

Splunk Enterprise Security vs AWS Auto Scaling

Compared 4% of the time

More AWS Auto Scaling Competitors

Zabbix vs Cross-Enterprise Application Performance Management

Compared 16% of the time

eG Enterprise vs Cross-Enterprise Application Performance Management

Compared 15% of the time

AWS X-Ray vs Cross-Enterprise Application Performance Management

Compared 5% of the time

Splunk Observability Cloud vs Cross-Enterprise Application Performance Management

Compared 5% of the time

Actional vs Cross-Enterprise Application Performance Management

Compared 3% of the time

More Cross-Enterprise Application Performance Management Competitors

Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

October 2026

Download AWS Auto Scaling product report

Buyer's Guide

Application Performance Monitoring (APM) and Observability

October 2026

Cross-Enterprise Application Performance Management report

Download Cross-Enterprise Application Performance Management product report

Also Known As

AWS Auto-Scaling

CA Cross-Enterprise Application Performance Management

Overview

AWS Auto Scaling optimizes resource use by automatically adjusting instances based on demand. It integrates with CloudWatch for seamless monitoring, enhancing system reliability and cost efficiency without manual intervention.

AWS Auto Scaling is designed to dynamically scale resources in response to demand, supporting horizontal and vertical scaling for optimal performance. It integrates well with AWS services like EC2 and ECS, allowing for flexible and scalable solutions. Predictive scaling and intelligent automation reduce costs and ensure reliability, particularly during unpredictable traffic variations. Users implement it to maintain efficiency and minimize downtime, benefiting from features such as self-healing and health checks.

What are the key features of AWS Auto Scaling?

Automatic Scaling: Adjusts resources based on real-time demand metrics.
CloudWatch Integration: Seamless monitoring integration for efficient resource management.
Target Tracking: Maintains desired performance levels by adjusting resources as needed.
Scheduled Scaling: Pre-configure adjustments based on expected demand changes.
Self-Healing: Automatically replaces unhealthy instances to ensure maximum uptime.

What benefits should users expect from AWS Auto Scaling?

Cost Efficiency: Reduces cost by adjusting resources based on fluctuating demand.
Reliable Performance: Ensures consistent performance even with varying traffic levels.
Minimal Downtime: Automatically adapts to traffic changes to keep services running smoothly.
User-Friendly Interface: Simple operation with intuitive controls and configurations.
Flexibility: Supports a range of AWS services, adapting to different use cases and demands.

In industries with variable demand, AWS Auto Scaling is deployed to manage real-time traffic surges, ensuring efficient use of resources during periods such as events and festive seasons. Users grow dynamic environments while balancing costs and maintaining stability, integrating the tool with CI/CD processes for continuous and efficient deployment.

Amazon Web Services (AWS)

Cross-Enterprise Application Performance Management provides comprehensive insight into application performance across organizational boundaries. Designed to address complex application ecosystems, it ensures efficient monitoring and management of performance metrics, enhancing IT operations.

With Cross-Enterprise Application Performance Management, organizations can leverage a centralized approach to detecting, diagnosing, and resolving performance issues. The platform's analytics allow for proactive management by identifying trends and anomalies across applications. By offering end-to-end visibility into transactions and resource utilizations, it supports significant improvements in operational efficiency.

What are the key features?

End-to-End Monitoring: Comprehensive monitoring across all components of the application landscape.
Centralized Dashboard: Aggregated data view for quick insights and decision-making.
Real-Time Analytics: Immediate data processing to detect and respond to issues quickly.
Anomaly Detection: Advanced algorithms identify deviations for proactive troubleshooting.
Resource Management: Optimize application resources through detailed usage analysis.

What benefits and ROI should be considered?

Improved Performance: By leveraging analytics, boost application efficiency and uptime.
Cost Efficiency: Reduced downtimes translate to lower operational costs.
Enhanced Decision Making: Access to reliable data leads to informed strategic decisions.
Increased Productivity: Swift issue resolution improves overall productivity.

In industries like finance and healthcare, Cross-Enterprise Application Performance Management integrates seamlessly to handle complex transactional systems. Its ability to provide real-time visibility and comprehensive analytics means that these sectors can ensure compliance and maintain high service standards.

Broadcom

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

NIIT Technologies, Cetip Safeguards

Buyer's Guide

AWS Auto Scaling vs. Cross-Enterprise Application Performance Management

November 2026

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