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AWS Auto Scaling vs Gigamon Deep Observability Pipeline comparison

 

Comparison Buyer's Guide

Executive Summary

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
7.0
Number of Reviews
21
Ranking in other categories
No ranking in other categories
Gigamon Deep Observability ...
Ranking in Application Performance Monitoring (APM) and Observability
23rd
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
8
Ranking in other categories
Event Monitoring (9th), Data Loss Prevention (DLP) (16th), Security Information and Event Management (SIEM) (26th), Web Application Firewall (WAF) (19th), Advanced Threat Protection (ATP) (21st), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (11th)
 

Mindshare comparison

As of April 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.1%, up from 0.1% compared to the previous year. The mindshare of Gigamon Deep Observability Pipeline is 0.1%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Mbula Mboma - PeerSpot reviewer
Boosts deployment efficiency with seamless automatic scaling capabilities
My primary use case for Auto Scaling is mainly to deploy applications at scale Auto Scaling has made the deployment of applications more efficient, allowing us to manage traffic and maintain performance as user counts increase. Auto Scaling is a cool feature that works well and its automatic…
LeonardoAlves - PeerSpot reviewer
Improved the capability to analyze the environment and network problems with easy setup
It improved the capability to analyze the environment and network problems. It also helped streamline your security and performance monitoring The application I use is a script. My environment is a mix of technologies. I have many passionate people in my network who are on a journey in…

Quotes from Members

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

Pros

"The setup is not very complex."
"Our internal business applications are hosted in AWS Auto Scaling."
"I would highly recommend Auto Scaling to others because it is a fantastic feature that simplifies scaling processes and makes deployment efficient."
"When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements."
"The solution's monitoring effectively monitors our application and CPU utilization."
"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."
"The most valuable feature of the solution is that it scales automatically without manual intervention based on the metrics we provide."
"It helps us to reduce the cost."
"It is a good product. It provides network visibility, which is important. Gigamon can bring some optimizations to my network. It is helpful for security inspection, and it makes my firewall work fast because my firewall doesn't have to do the inspection of the SSL connections, for example."
"The most valuable feature for improving network visibility with Gigamon is the packet filtering capability."
"It offers straightforward integration."
"The solution is straightforward to set up."
"It has high stability."
"The tool's most valuable feature is the encryption feature. From a security perspective, the solution hasn't significantly strengthened our security posture. However, it has greatly improved performance by streamlining encryption processes and avoiding encryption at multiple layers. This has also simplified troubleshooting, as we can whitelist certain processes."
"The most valuable feature is NetFlow."
 

Cons

"Setting up the configuration involves too much work for the cloud engineer, like configuring the ALB, the target group, and all the steps."
"We can have more auto scaling algorithms implemented in AWS Auto Scaling."
"The tool must include AI features."
"The setup can be a bit complex in some situations."
"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."
"AWS Auto Scaling's documentation could be better."
"The tool's stability could be improved."
"Setting up the configuration involves too much work for the cloud engineer."
"The Gigamon Deep Observability Pipeline should have a feature showing the traffic flow within its platform. Currently, customers have to use separate tools for monitoring, which is inconvenient. If it had its visibility feature, it would make monitoring easier and more complete without needing extra tools."
"In terms of improvement, while the initial setup is not overly complicated, we did encounter a few issues."
"They should increase the solution's cluster capacity."
"The security should be improved."
"The graphical user interface could be improved."
"Its filtering feature needs improvement."
"It only inspects a specific kind of traffic. There should be different kinds of use cases."
 

Pricing and Cost Advice

"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."
"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."
"The product is expensive."
"AWS Auto Scaling is an expensive solution."
"AWS Auto Scaling's price is high."
"The solution's price is reasonable."
"I would rate the solution as expensive, around an eight or nine out of ten. There are other competitive solutions available."
"The solution is highly-priced."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
17%
Computer Software Company
14%
Manufacturing Company
8%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
The pricing of Auto Scaling is medium range, neither high nor low.
What needs improvement with AWS Auto Scaling?
It is sometimes very critical to deploy on AWS since some servers are already running in the background. There are challenges for employees on how to deploy at a given time. It requires a downtime ...
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?
The challenge is monitoring the cloud network. In on-premises environments, monitoring is straightforward, as I can verify all packets and communications. However, due to the way access tools and p...
What is your primary use case for Gigamon Deep Observability Pipeline?
It improved the capability to analyze the environment and network problems. It also helped streamline your security and performance monitoring.
 

Also Known As

AWS Auto-Scaling
Gigamon, GigaSecure
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Amica Insurance, College of William & Mary, Gamma, IntercontinentalExchange, OppenheimerFunds
Find out what your peers are saying about AWS Auto Scaling vs. Gigamon Deep Observability Pipeline and other solutions. Updated: April 2025.
846,617 professionals have used our research since 2012.