AWS Auto Scaling vs Mezmo comparison

Amazon Web Services (AWS) and Mezmo are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #15 with an average rating of 8.6, while Mezmo is ranked #80. Amazon Web Services (AWS) holds a 0.2% mindshare in APM, compared to Mezmo’s 0.1% mindshare. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Mezmo users who would recommend it.

AWS Auto Scaling

Read 21 AWS Auto Scaling reviews

380 Views
338 Comparison Views

91% willing to recommend

Mezmo

Read 2 Mezmo reviews

520 Views
270 Comparison Views

100% willing to recommend

AWS Auto Scaling

Mezmo

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between AWS Auto Scaling and Mezmo based on real PeerSpot user reviews.

Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed AWS Auto Scaling vs. Mezmo Report (Updated: July 2025).

Buyer's Guide

AWS Auto Scaling vs. Mezmo

July 2025

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Helped 865,164 peers since 2012

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

Ranking in other categories

No ranking in other categories

Mezmo

Ranking in Application Performance Monitoring (APM) and Observability

80th

Average Rating

9.0

Number of Reviews

Ranking in other categories

Log Management (52nd), Observability Pipeline Software (7th)

Mindshare comparison

As of August 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.2%, up from 0.1% compared to the previous year. The mindshare of Mezmo is 0.1%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

Featured Reviews

Mbula Mboma

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

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…

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Theodore Omtzigt

President and Founder at STILLWATER SUPERCOMPUTING INC

It consolidates all logs into one place and provides required features and functionalities

Every once in a while, our IBM cloud operational implementation gets behind. Sometimes, when we have a customer event, we do not get access to the latest logs for about 30 minutes, particularly for the sites that are heavily utilized. This is clearly not good. It is impossible to do RCA when you can't look at the logs that pertain to the time period in which the event occurred. It could be more of an operational problem than a feature problem. I don't have visibility about whether it is a LogDNA issue or just an operational issue.

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Quotes from Members

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

Pros

"It is a stable platform."

"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."

"I would highly recommend Auto Scaling to others because it is a fantastic feature that simplifies scaling processes and makes deployment efficient."

"AWS Auto Scaling is very good for managing traffic and creating new instances when necessary."

"The solution's monitoring effectively monitors our application and CPU utilization."

"The various scaling options available, such as step scaling, are particularly useful."

"AWS Auto Scaling is cost-effective and very useful for businesses."

"The tool gives you the flexibility to scale up and grow. The solution is also fast to deploy."

More AWS Auto Scaling pros

"The solution aggregates all event streams, so that if there are any issues, it's all in the same interface."

"LogDNA consolidates all logs into one place, which is super valuable."

Cons

"Setting up the configuration involves too much work for the cloud engineer."

"The speed of the solution must be improved."

"The solution's infrastructure scalability and elasticity could be improved."

"It has latency issues. It depends on the distribution used, whether it's Amazon Linux, Windows Linux, etc. Occasionally, there are latency issues, which might lead to slower performance."

"In comparison to other public clouds, the product is costly."

"The billing and cost optimization of the solution could be improved."

"Flexibility in configuring the workload is missing in AWS Auto Scaling."

"Setting up the configuration involves too much work for the cloud engineer, like configuring the ALB, the target group, and all the steps."

More AWS Auto Scaling cons

"Every once in a while, our IBM cloud operational implementation gets behind. Sometimes, when we have a customer event, we do not get access to the latest logs for about 30 minutes, particularly for the sites that are heavily utilized. This is clearly not good. It is impossible to RCA when you can't look at the logs that pertain to the time period in which the event occurred. It could be more of an operational problem than a feature problem. I don't have visibility about whether it is a LogDNA issue or just an operational issue."

"No ability to encapsulate a query or a filter, and communicate or share that among the team."

Pricing and Cost Advice

"The product is expensive."

"AWS Auto Scaling is an expensive solution."

"The pricing is good. I have not had any customers that have complained about the price."

"The product has moderate pricing."

"AWS Auto Scaling is a cheap solution."

"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."

"AWS Auto Scaling's price is high."

Information not available

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Company Size

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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...

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What is your experience regarding pricing and costs for AWS Auto Scaling?

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

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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 ...

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Also Known As

AWS Auto-Scaling

LogDNA

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)

Today’s enterprises must manage a massive amount of machine data. They require a platform that enables engineering teams to deliberately route and store structured and unstructured data for different teams with unique use cases. Legacy platforms weren’t made for this moment.
‍
Mezmo, formerly LogDNA, lets organizations ingest, process, route, analyze, and store all of their log data. Purpose-built for modern engineering teams—including developers, SREs, IT Operations, and Security Engineers—the Mezmo platform is trusted by thousands of companies for SaaS, cloud, and hybrid applications.

Mezmo

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Instacart, Asics, Lime, Salesforce

Buyer's Guide

AWS Auto Scaling vs. Mezmo

July 2025

Free Report: AWS Auto Scaling vs. Mezmo

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