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AWS Auto Scaling vs Honeycomb.io 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
Honeycomb.io
Ranking in Application Performance Monitoring (APM) and Observability
25th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

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 Honeycomb.io is 1.7%, up from 1.3% 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…
Diego Gomes De Lima - PeerSpot reviewer
Easy to use and the dashboard is very intuitive
We faced some OpenTelemetry metrics lost between the communication from the service and the Honeycomb.io. I can't say if this is a Honeycomb.io issue or if there are some limitations in OpenTelemetry. Alerts are very helpful in Honeycomb.io, but we don't usually merge because we can compare queries with queries for making alerts. We can make alerts based on static numbers, which may block us from building alerts that could be generic enough or could be serviced.

Quotes from Members

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

Pros

"I would highly recommend Auto Scaling to others because it is a fantastic feature that simplifies scaling processes and makes deployment efficient."
"Our internal business applications are hosted in AWS Auto Scaling."
"The most valuable feature of the solution is that it scales automatically without manual intervention based on the metrics we provide."
"It is a stable platform."
"The solution helps optimize the cost of the AWS environment."
"The solution's monitoring effectively monitors our application and CPU utilization."
"When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements."
"Auto Scaling is a cool feature that works well and its automatic scaling capabilities are very useful."
"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."
"The solution's most valuable features are the queries for the OpenTelemetry events and all the tracing."
 

Cons

"AWS Auto Scaling's documentation could be better."
"The solution's infrastructure scalability and elasticity 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."
"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."
"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."
"Flexibility in configuring the workload is missing in AWS Auto Scaling."
"We can have more auto scaling algorithms implemented in AWS Auto Scaling."
"There hasn't been a need for improvements."
"The process of log scraping gets delayed on Honeycomb.io. At times, it gives false alerts to the application team."
"We can make alerts based on static numbers, which may block us from building alerts that could be generic enough or could be serviced."
 

Pricing and Cost Advice

"The pricing is good. I have not had any customers that have complained about the price."
"AWS Auto Scaling's price is high."
"AWS Auto Scaling is a cheap solution."
"AWS Auto Scaling is an expensive solution."
"The product is expensive."
"The product has moderate pricing."
"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."
Information not available
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Top Industries

By visitors reading reviews
No data available
Computer Software Company
16%
Financial Services Firm
15%
Manufacturing Company
9%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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 Honeycomb.io?
The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team.
What needs improvement with Honeycomb.io?
We faced some OpenTelemetry metrics lost between the communication from the service and the Honeycomb.io. I can't say if this is a Honeycomb.io issue or if there are some limitations in OpenTelemet...
What is your primary use case for Honeycomb.io?
The solution is mainly used for stack observability. It observes service behavior or any kind of failure that may be happening. The tool is also related to research. My company is working more on t...
 

Comparisons

 

Also Known As

AWS Auto-Scaling
No data available
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Clover Health, Eaze, Intercom, Fender
Find out what your peers are saying about AWS Auto Scaling vs. Honeycomb.io and other solutions. Updated: April 2025.
847,862 professionals have used our research since 2012.