AWS Auto Scaling vs Catchpoint comparison

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AWS Auto Scaling

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Executive SummaryUpdated on Jul 24, 2024

Catchpoint and AWS Auto Scaling both serve distinct purposes in IT performance and scalability. Catchpoint excels in performance monitoring, while AWS Auto Scaling focuses on automatic resource management for applications, making it more comprehensive for cloud infrastructure.

Features: Catchpoint offers extensive monitoring, detailed analytics, and real-time alerts. AWS Auto Scaling provides automatic resource scaling, integration with AWS services, and ease of use.

Room for Improvement: Catchpoint could improve visual reporting tools, customer support response times, and the complexity of setup configurations. AWS Auto Scaling users suggest better documentation, more granular control over scaling policies, and enhancements in user control and guidance.

Ease of Deployment and Customer Service: Catchpoint is straightforward to deploy with comprehensive customer service but faces critiques on setup complexity. AWS Auto Scaling integrates seamlessly with AWS environments and has reliable support, though its initial setup documentation could be better.

Pricing and ROI: Catchpoint's setup cost is high but provides significant ROI with detailed insights. AWS Auto Scaling, using AWS's pay-as-you-go model, is seen as cost-efficient with predictable expenses.

To learn more, read our detailed AWS Auto Scaling vs. Catchpoint Report (Updated: March 2026).

AWS Auto Scaling vs. Catchpoint

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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:

ROI

Sentiment score

1.0

AWS Auto Scaling optimizes costs and delivers significant ROI, reducing expenses for businesses and proving its financial value.

Sentiment score

7.1

Catchpoint delivers significant ROI with fewer outages, enhanced user experience, real-time insights, cost-effectiveness, and 24/7 support.

No quotes available

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There have been fewer outages, and it is very easy to identify the issue of performance bottleneck through root cause analysis and insights.

Web Developer at AT&T

Real-time monitoring of networks, websites, and apps gives insightful information which helps to make data-driven decisions.

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Senior Network Engineer at AT&T

We have seen a return on investment as we have fewer outages.

Alejandor Senke

Senior Security Engineer at AT&T

Customer Service

Sentiment score

4.4

Users praise AWS Auto Scaling's customer service for being efficient and helpful, despite occasional slow response times.

Sentiment score

7.8

Catchpoint's 24/7 proactive customer support is highly rated for responsiveness, reliability, and professional assistance, ensuring high user satisfaction.

AWS support is very good.

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AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

Catchpoint customer support is very helpful and proactive.

Web Developer at AT&T

The customer support is always very friendly and responsive and always available twenty-four hours per day, seven days a week.

Alejandor Senke

Senior Security Engineer at AT&T

Customer support is available 24/7 and very proactive and responsive.

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Senior Network Engineer at AT&T

Scalability Issues

Sentiment score

7.2

AWS Auto Scaling offers easy, robust scalability for medium to large enterprises, efficiently handling user increases and traffic spikes.

Sentiment score

7.3

Catchpoint's scalability is praised for adapting to growth, excelling in SaaS environments, though on-premises setups face challenges.

Scalability is impressive, as it allowed us to go from 1,000 to 10,000 active users within a week during a traffic spike.

Mbula Mboma

AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)

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Catchpoint's scalability is great as it grows with my organization's needs and can handle those needs very well.

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Web Developer at AT&T

Stability Issues

Sentiment score

5.9

AWS Auto Scaling is stable and reliable, though occasional scaling delays and server issues require effective deployment and management.

Sentiment score

8.6

Catchpoint is praised for its stability, reliability, and consistent performance, earning high satisfaction and trust from users.

No quotes available

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Catchpoint is stable as I have not experienced any lagging.

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Senior Network Engineer at AT&T

Room For Improvement

AWS Auto Scaling requires faster launches, better usability, improved documentation, enhanced security, automation, scalability, cost optimization, and clearer instructions.

Catchpoint struggles with complex setups, UI issues, and lacks automation, needing better integration, flexibility, and cost efficiency.

This complexity led me to migrate to CloudFormation, which simplifies the deployment process.

Mbula Mboma

AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)

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.

Ishaka Michael Efe

DevOps Engineer Intern at HNG Tech

It requires a downtime before deploying the Auto Scaling group.

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AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

Dashboard customization and UX should be improved.

Web Developer at AT&T

I would also add that the script recorder needs some work due to an update by Google, deprecating the use of the current solution.

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Senior Network Engineer at AT&T

If we could receive similar data for the China market as we do for North America and Asia Pacific, this would be helpful.

AnmolRai

Technical Consultant Project Lead at a consultancy with 10,001+ employees

Setup Cost

AWS Auto Scaling costs vary; perceived as reasonable or expensive, depending on scaling extent, application needs, and usage.

Catchpoint's pricing is high but cost-effective for large enterprises, offering competitive features and volume discounts, challenging smaller budgets.

The pricing of Auto Scaling is medium range, neither high nor low.

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AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

The cost is very effective and relatively competitive.

Alejandor Senke

Senior Security Engineer at AT&T

Catchpoint's price is very cost-effective, but I don't know if it might be out of budget for a smaller organization working on a tight budget.

Senior Network Engineer at AT&T

My experience with pricing, setup cost, and licensing is that the cost was very cost-effective and affordable.

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Web Developer at AT&T

Valuable Features

AWS Auto Scaling offers automated scaling, integrates with CloudWatch, supports Kubernetes, and enhances performance through efficient resource management.

Catchpoint improves performance and reduces downtime with synthetic monitoring, root cause analysis, and user-friendly reporting tools.

During peak traffic times, the Auto Scaling group can be deployed to ensure that the client works well, and the traffic remains average.

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AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

The automation aspect where you can automate it to whatever you want is what I value the most about Auto Scaling.

Ishaka Michael Efe

DevOps Engineer Intern at HNG Tech

Its automatic scaling capabilities are very useful.

Mbula Mboma

AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)

The reduction in outages is notable, with a 60 to 70% increase in outages reduction.

JamesBarton

Human Resources Manager at AT&T

Synthetic monitoring and root cause analysis have helped my team by allowing root cause monitoring to help us understand where the threat is coming from, enabling us to catch the threat before it impacts our users.

Web Developer at AT&T

With the help of Catchpoint, we are able to address issues before our customers. Our triage time has reduced. We are able to reduce outages and unwanted user incidents.

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Senior Network Engineer at AT&T

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

Ranking in other categories

No ranking in other categories

Catchpoint

Ranking in Application Performance Monitoring (APM) and Observability

40th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Network Monitoring Software (57th), Cloud Monitoring Software (31st), Digital Experience Monitoring (DEM) (11th)

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 Catchpoint is 0.8%, up from 0.4% 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	0.4%
Catchpoint	0.8%
Other	98.8%

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.

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Monitoring has delivered proactive issue detection and improves user experience across our apps

Senior Network Engineer at AT&T

The best features Catchpoint offers are Catchpoint Synthetics, Catchpoint API test, Catchpoint Dashboard, and Catchpoint UI. I would like to add that Catchpoint UI is very user-friendly and with a basic introduction, anyone can just get started. When we talk about Catchpoint Dashboard, this is our one-stop shop for all our monitors. It has multiple widgets that display various application performance metrics. We use this feature immensely and it is of great value to our business. When it comes to Catchpoint Synthetics, it enables us to create our synthetic monitoring using Catchpoint. Creating the Synthetics monitors is easy and requires basic knowledge of Selenium and JavaScript. It also allows us to run the test from external, which is the backbone, and internal enterprise nodes. Additionally, Catchpoint provides detailed insights of each request that is involved in the application flow, which helps us in addressing the issue at the request level. With the help of Catchpoint, we are able to address issues before our customers. Our triage time has reduced. We are able to reduce outages and unwanted user incidents. We are able to get to the root cause of the issue efficiently post-implementing Catchpoint monitoring.

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Top Industries

By visitors reading reviews

Construction Company

13%

Comms Service Provider

Educational Organization

Manufacturing Company

Financial Services Firm

18%

Construction Company

10%

Retailer

10%

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	2
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	1
Large Enterprise	12

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?

What do you like most about Catchpoint?

Catchpoint is very flexible and also provides logs for troubleshooting purposes. It helps us fix issues within the SLAs signed with the end users. The tool is easy to learn.

What is your experience regarding pricing and costs for Catchpoint?

My experience with pricing, setup cost, and licensing is that the cost was very cost-effective and affordable.

What needs improvement with Catchpoint?

Catchpoint can be improved as it has a complex setup and configuration, and dashboard customization and UX should be improved.

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Product Reports

Application Performance Monitoring (APM) and Observability

Download AWS Auto Scaling product report

Download Catchpoint product report

Also Known As

AWS Auto-Scaling

No data available

Overview

AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.

Amazon Web Services (AWS)

Catchpoint is the Internet Resilience Company™. The top online retailers, Global2000, CDNs, cloud service providers, and xSPs in the world rely on Catchpoint to increase their resilience by catching any issues in the Internet Stack before they impact their business. Catchpoint’s Internet Performance Monitoring (IPM) suite offers synthetics, RUM, performance optimization, high fidelity data and flexible visualizations with advanced analytics. It leverages thousands of global vantage points (including inside wireless networks, BGP, backbone, last mile, endpoint, enterprise, ISPs, and more) to provide unparalleled observability into anything that impacts your customers, workforce, networks, website performance, applications, and APIs.

Learn more at: https://www.catchpoint.com/

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Information Not Available

AWS Auto Scaling vs. Catchpoint