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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 #76. Amazon Web Services (AWS) holds a 0.1% 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
  • 264 Views
  • 138 Comparison Views
91% willing to recommend
Mezmo
Read 2 Mezmo reviews
  • 202 Views
  • 115 Comparison Views
100% willing to recommend
 

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.

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To learn more, read our detailed AWS Auto Scaling vs. Mezmo Report (Updated: April 2025).
Buyer's Guide
AWS Auto Scaling vs. Mezmo
April 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:
 

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
Mezmo
Ranking in Application Performance Monitoring (APM) and Observability
76th
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
Log Management (54th), Observability Pipeline Software (5th)
 

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 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 - 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…
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TO
Has vastly increased our ability to reach SLA targets consistently
Scalability could be improved. We are using it through the IBM cloud deployment and on some of the data centers that are very heavily used, there is a significant lag in the event stream, sometimes 10, 15 minutes behind, which makes the RCA impossible. If an event hits but you don't have the information to look at it, then it's tricky. This is probably not an issue of the product itself, but more a deployment issue. There is something on the IBM side that needs some readjustment to make certain these lags don't happen too often. We now use other tools for back-up in that area. But if you really want to do SIEM type work, then that is an aspect that needs some improvement. It's hard to tell if it's the product or the IBM deployment of it. The user interface is really very productive interactively but for an additional feature, it would be nice if we somehow could encapsulate a query or a filter, and communicate or share that among the team so that specific types of actions can be carried out quickly. In particular, when we deal with a customer issue, it may pertain to a particular transaction through the system and each transaction has a unique ID. It would be great if we could query that ID and request all transactions that pertain to a specific ID. For now, we need to find the events, then extract the ID. Once we have that, we can go through the UI to set up the query and filter it to give us a transaction. But it would be really nice if we could simply say, "Here's the ID. Give me all the transactions."
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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

"The tool gives you the flexibility to scale up and grow. The solution is also fast to deploy."
"The solution's monitoring effectively monitors our application and CPU utilization."
"The good thing about Autoscaling is that it provides the capacity to minimize downtime. So, it gives you the assurance of stability and robustness within your system."
"I would highly recommend Auto Scaling to others because it is a fantastic feature that simplifies scaling processes and makes deployment efficient."
"It helps us to reduce the cost."
"Our internal business applications are hosted in AWS Auto Scaling."
"It is a stable platform."
"The solution helps optimize the cost of the AWS environment."
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

"The tool's stability could be improved."
"The product could add more features for managing instances."
"In comparison to other public clouds, the product is costly."
"There hasn't been a need for improvements."
"The billing and cost optimization of the solution could be improved."
"We can have more auto scaling algorithms implemented in AWS Auto Scaling."
"The solution's infrastructure scalability and elasticity could be improved."
"AWS Auto Scaling's documentation could be better."
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

"AWS Auto Scaling's price is high."
"The product is expensive."
"The pricing is good. I have not had any customers that have complained about the price."
"AWS Auto Scaling is an expensive solution."
"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."
Information not available
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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...
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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.
See all answers
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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Product Reports

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April 2025
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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
April 2025
Free Report: AWS Auto Scaling vs. Mezmo
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We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.