AWS Auto Scaling vs Gigamon Deep Observability Pipeline comparison

AWS Auto Scaling vs. Gigamon Deep Observability Pipeline

December 2025

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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

4.8

Gigamon Deep Observability Pipeline boosts productivity and efficiency through reduced troubleshooting, improved security visibility, and optimized resource management.

No quotes available

For more quotes and insights, download the AWS Auto Scaling report

No quotes available

For more quotes and insights, download the Gigamon Deep Observability Pipeline report

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

5.4

Gigamon Deep Observability Pipeline's technical support is generally praised, though outsourced support presents challenges for some users.

AWS support is very good.

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AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.

TuanNguyen13

Senior Relationship Banker at Joint stock Commercial Bank for Foreign Trade of V

For more quotes and insights, download the Gigamon Deep Observability Pipeline report

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

6.5

Gigamon Deep Observability Pipeline excels in scalability, especially in cloud environments, accommodating large deployments with ease and flexibility.

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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No quotes available

For more quotes and insights, download the Gigamon Deep Observability Pipeline report

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

7.2

Gigamon Deep Observability Pipeline delivers stable, reliable performance in data centers, with high ratings despite minor issues in older systems.

No quotes available

For more quotes and insights, download the AWS Auto Scaling report

No quotes available

For more quotes and insights, download the Gigamon Deep Observability Pipeline report

Room For Improvement

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

Gigamon Deep Observability Pipeline needs security enhancements, improved GUI, better performance, cloud support, and easier setup and hardware handling.

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.

No quotes available

For more quotes and insights, download the Gigamon Deep Observability Pipeline report

Setup Cost

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

Gigamon Deep Observability Pipeline is often seen as expensive, but pricing perceptions vary based on needs and roles.

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

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AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

No quotes available

For more quotes and insights, download the Gigamon Deep Observability Pipeline report

Valuable Features

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

Gigamon Deep Observability Pipeline improves network visibility, performance, and security through advanced traffic analysis, integration, and process efficiencies.

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

For more quotes and insights, download the AWS Auto Scaling report

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 Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.

TuanNguyen13

Senior Relationship Banker at Joint stock Commercial Bank for Foreign Trade of V

For more quotes and insights, download the Gigamon Deep Observability Pipeline report

Categories and Ranking

AWS Auto Scaling

Ranking in Application Performance Monitoring (APM) and Observability

14th

Average Rating

8.8

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Gigamon Deep Observability ...

Ranking in Application Performance Monitoring (APM) and Observability

39th

Average Rating

8.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Event Monitoring (11th), Data Loss Prevention (DLP) (32nd), Security Information and Event Management (SIEM) (43rd), Web Application Firewall (WAF) (31st), Advanced Threat Protection (ATP) (26th), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (16th)

Mindshare comparison

As of January 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 Gigamon Deep Observability Pipeline is 0.5%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Market Share Distribution
Product	Market Share (%)
AWS Auto Scaling	0.4%
Gigamon Deep Observability Pipeline	0.5%
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.

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TuanNguyen13

Senior Relationship Banker at Joint stock Commercial Bank for Foreign Trade of V

Experience boosts operational efficiency while performance sees room for improvement

I don't have specific information on whether it was purchased on the AWS marketplace or somewhere else. I am working with Dynatrace Operator. I am also working with Algosec, Alluvio, CrowdStrike, Firemon, Gigamon Deep Observability Pipeline, and other solutions. I think it's a good tool, and I am satisfied with it. We have not stored cloud workloads with Gigamon Deep Observability Pipeline yet; we are still on-premises. The technical support takes about one to two hours to respond, which is acceptable. I am satisfied with the scalability of the product. The interface is good.

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Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.

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881,114 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

14%

Computer Software Company

11%

Healthcare Company

Manufacturing Company

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	3
Midsize Enterprise	1
Large Enterprise	5

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 Gigamon Deep Observability Pipeline?

The most valuable feature for improving network visibility with Gigamon is the packet filtering capability.

What needs improvement with Gigamon Deep Observability Pipeline?

Gigamon Deep Observability Pipeline needs to improve its performance. I face issues with performance because we use SPAN, and the SPAN traffic is not good. They need to improve their performance.

What is your primary use case for Gigamon Deep Observability Pipeline?

I am working with Gigamon Deep Observability Pipeline and Firemon, and I have been working with it for a year.

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Product Reports

Application Performance Monitoring (APM) and Observability

January 2026

Download AWS Auto Scaling product report

Download Gigamon Deep Observability Pipeline product report

Event Monitoring

January 2026

Gigamon Deep Observability Pipeline report

Also Known As

AWS Auto-Scaling

Gigamon, GigaSecure

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)

Gigamon Deep Observability Pipeline is a comprehensive network visibility solution that provides real-time insights into network traffic. It offers SSL inspection and mobile network monitoring for traffic monitoring purposes. The solution optimizes networks, aids in security inspection, and improves firewall performance. It is praised for its performance, power, straightforward integration, stability, and ease of initial setup.

With Gigamon, organizations can gain complete visibility into their network traffic, identify potential threats, and take proactive measures to prevent them. The solution is ideal for organizations of all sizes, including enterprises, service providers, and government agencies.

Gigamon

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Amica Insurance, College of William & Mary, Gamma, IntercontinentalExchange, OppenheimerFunds