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AWS Auto Scaling vs Honeycomb Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

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
5.1
AWS Auto Scaling optimizes costs and availability, achieving up to 30% savings by right-sizing and reducing unused capacity.
Sentiment score
3.9
Honeycomb Enterprise improved issue resolution, debugging, and latency, boosting customer satisfaction and reducing costs and workforce needs.
Honeycomb Enterprise played a vital role in identifying the problems in the initial calls itself. That has actually saved us a lot of incidents.
Technical Lead at CloudBolt Software
The biggest return on investment with Honeycomb Enterprise is being able to find, if I am doing production support and something goes wrong, the exact scenario or the exact request and response and the details of that really quickly.
Software Engineer at a non-tech company with 501-1,000 employees
 

Customer Service

Sentiment score
5.3
AWS Auto Scaling offers responsive, helpful support with high user ratings, though some desire faster response times.
Sentiment score
3.7
Mixed feedback on Honeycomb Enterprise support praised for setup help but criticized for delayed technical query responses.
AWS support is very good.
AWS Cloud at AeonX Digital Solutions Pvt. Ltd.
To highlight what is the issue going on in our currently running 100 requests, we just highlight that one request which is very slow or maybe we just move it to the top so that we can alert everybody that this is the problem.
IT Analyst at cmc
When I was looking at Honeycomb Enterprise support with Go Lambdas, it was a little tricky to find someone who could help me answer the question.
Software Engineer at a non-tech company with 501-1,000 employees
 

Scalability Issues

Sentiment score
7.9
AWS Auto Scaling is praised for seamless scalability, ease of integration, and handling diverse needs during high traffic.
Sentiment score
5.7
Honeycomb Enterprise is scalable for diverse deployments but can become costly as usage increases, with experience varying by provider.
Scalability is impressive, as it allowed us to go from 1,000 to 10,000 active users within a week during a traffic spike.
AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)
When you send traces, you will get the complete view of the life of the code and how it has been executed.
Technical Lead at CloudBolt Software
Honeycomb Enterprise scales best when all the products in the company use it because it allows tracing outside of individual products to see how they interact.
Software Engineer at a non-tech company with 501-1,000 employees
At times we can be shocked to see that this price is too high for involving too many developers on one peak or having a much bigger data set or more advanced features for our use.
IT Analyst at cmc
 

Stability Issues

Sentiment score
6.8
AWS Auto Scaling is reliable with minor issues, earning stability ratings mostly between nine and ten out of ten.
Sentiment score
7.1
Honeycomb Enterprise is generally stable and efficient, but occasional crashes prompt some to consider alternatives like Jaeger.
They could not get proper tracing with Honeycomb Enterprise at that time.
Lead Engineer at Qualys
In terms of stability and availability, this is an impressive one.
Customer Support Engineer at a insurance company with 10,001+ employees
Mostly it is reliable, but at times, maybe one or two times in two to three months, these issues do happen.
IT Analyst at cmc
 

Room For Improvement

AWS Auto Scaling needs enhancements in speed, usability, pricing, scalability, security, flexibility, and simplicity for better user experience.
Users suggest enhancing Honeycomb Enterprise's documentation, UI, pricing, dashboard features, and integration with third-party services and OpenTelemetry.
This complexity led me to migrate to CloudFormation, which simplifies the deployment process.
AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)
It requires a downtime before deploying the Auto Scaling group.
AWS Cloud at AeonX Digital Solutions Pvt. Ltd.
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.
DevOps Engineer Intern at HNG Tech
Rather, it must be treated as a powerful supplementary tool that augments the existing code security solutions (such as Snyk or Checkmarx) in a DevSecOps or Secure DevOps environment.
CEO at a computer software company with 10,001+ employees
The main thing is that I think everything should very hard aim for the direction of being AI compatible because every engineer, or most engineers now use AI to code.
Software Engineer at a financial services firm with 11-50 employees
That is what performance engineers and SREs need to see for each request, where it spent the entire time; how many other services or databases it interacted with and what took more or less time.
Lead Engineer at Qualys
 

Setup Cost

AWS Auto Scaling pricing varies widely, with costs ranging from high to reasonable based on usage and application needs.
The pricing of Auto Scaling is medium range, neither high nor low.
AWS Cloud at AeonX Digital Solutions Pvt. Ltd.
In terms of pricing, it was a little challenging to get the company to commit to the full pricing of Enterprise, but once we got there it was nice.
Software Engineer at a non-tech company with 501-1,000 employees
 

Valuable Features

AWS Auto Scaling ensures efficient, flexible scaling with integration, minimal downtime, cost-effectiveness, and enhanced reliability for growing environments.
Honeycomb Enterprise offers powerful observability features with real-time data, enhancing productivity and responsiveness with cost-effective solutions and excellent support.
During peak traffic times, the Auto Scaling group can be deployed to ensure that the client works well, and the traffic remains average.
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.
DevOps Engineer Intern at HNG Tech
Its automatic scaling capabilities are very useful.
AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)
We get alerts into Slack, and they work great. We see a lot of metrics go through into Slack, and they are really useful for keeping our team focused on only seeing one place to see alerts.
Software Engineer at Invevo
The most valuable feature of Honeycomb Enterprise for me is the root cause analysis part because it helps me greatly with the response messages and derived error messages which are very clearly mentioned in Honeycomb Enterprise logs.
Customer Support Engineer at a insurance company with 10,001+ employees
Honeycomb Enterprise is designed for modern cloud native systems.
IT Analyst at cmc
 

Categories and Ranking

AWS Auto Scaling
Ranking in Application Performance Monitoring (APM) and Observability
39th
Average Rating
8.8
Reviews Sentiment
6.6
Number of Reviews
22
Ranking in other categories
No ranking in other categories
Honeycomb Enterprise
Ranking in Application Performance Monitoring (APM) and Observability
19th
Average Rating
7.4
Reviews Sentiment
5.5
Number of Reviews
11
Ranking in other categories
AI Code Assistants (8th), AI Observability (18th)
 

Mindshare comparison

As of July 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.5%, up from 0.2% compared to the previous year. The mindshare of Honeycomb Enterprise is 1.1%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Honeycomb Enterprise1.1%
AWS Auto Scaling0.5%
Other98.4%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Ishaka Michael Efe - PeerSpot reviewer
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.
MukeshSharma - PeerSpot reviewer
Lead Engineer at Qualys
Tracing microservices has exposed gaps in visibility but has provided high-cardinality insights
I have used better tools, I would say. I would not say that I prefer Honeycomb Enterprise as much. I have used Dynatrace, and I found it more comprehensive, and AppDynamics and other tools. These tools can also provide good information, but I find other tools better. Most of the products, I would say, such as Dynatrace or AppDynamics or New Relic, are targeting this microservices market. I think Honeycomb Enterprise can have something very dedicated for microservices because there is an explosion in the migration from monolithic to microservices. If Honeycomb Enterprise can create a stable solution which is easy to use and which gives additional value and helps for faster debugging with microservices, they can certainly gain market share from others. Tracing is already there. I just wish that these tools are a bit less cryptic. These tools sometimes get quite cryptic for new users. The less cryptic they can be made, that can help these tools. Another thing is that for microservices, when you have multiple microservices installed, that is also required. There are tools where you install on a single microservice, but then these microservices interact with multiple microservices. That kind of picture, I have seen that in AppDynamics; they do give a picture showing that a particular request which arrived here had interaction with these other third-party services or microservices and databases. That is what we need. That is what performance engineers and SREs need to see for each request, where it spent the entire time; how many other services or databases it interacted with and what took more or less time, and if there is a sequence, it should highlight that also. Was it parallel or if, for instance, a call to service A and then a call was made to a database, or a call to service A and a database were in parallel, that kind of information.
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Top Industries

By visitors reading reviews
Construction Company
16%
Educational Organization
11%
Financial Services Firm
10%
Comms Service Provider
8%
Financial Services Firm
12%
Computer Software Company
11%
Manufacturing Company
9%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise2
Large Enterprise12
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise1
Large Enterprise8
 

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.
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...
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...
What needs improvement with Honeycomb.io?
If any particular issue is going to take half an hour for root cause analysis, by just getting the error code, particular HTTP status codes or response error messages, we can pinpoint the issues wi...
What is your primary use case for Honeycomb.io?
I was using Honeycomb Enterprise for checking the logs and for application purposes when we were trying to find bugs and errors in a particular application. We used Honeycomb Enterprise for HTTP st...
What advice do you have for others considering Honeycomb.io?
I have read about Honeycomb Enterprise's query engine and the visualization part, which is very interesting. However, those decisions were made by the top leads, so I am not part of that decision. ...
 

Also Known As

AWS Auto-Scaling
Grit
 

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 Enterprise and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.