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AWS Auto Scaling vs Akamai mPulse comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2024
 

Categories and Ranking

Akamai mPulse
Ranking in Application Performance Monitoring (APM) and Observability
57th
Average Rating
6.6
Number of Reviews
6
Ranking in other categories
No ranking in other categories
AWS Auto Scaling
Ranking in Application Performance Monitoring (APM) and Observability
16th
Average Rating
8.8
Reviews Sentiment
6.7
Number of Reviews
19
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Akamai mPulse is 0.4%, down from 0.5% compared to the previous year. The mindshare of AWS Auto Scaling is 0.1%, down 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

Arivu Arumugam - PeerSpot reviewer
Oct 18, 2022
Lacking in regard to observation of the entire platform but does dynamic injections from within
The primary use case of mPulse is for real-time user monitoring. Our use case was to observe the entire platform from the user all the way to the backend system and that's what it did. It's all in the discovery state. We explored a variety of different tools and the pros and cons of each within our…
PRABHAT_MISHRA - PeerSpot reviewer
Mar 27, 2024
User-friendly interface and provides autoscaling without manual intervention
We utilize AWS Auto Scaling to handle peak traffic times in our application using scheduled scaling. We have scheduled traffic in the morning when we have higher traffic. Previously, we had customer issues with requests failing because of manual intervention. After enabling AWS Auto Scaling, none of the requests failed, giving a very smooth customer experience. In that way, the solution reduced our operational costs. The solution's health check feature is very important because it checks the heartbeat of the application to know whether it's running or not. If it's not running, we automatically get notified and look into the application to see what caused it. The health check integration feature has helped with the availability of the application. I would recommend the solution to people looking for automatic scaling of their application. Overall, I rate the solution ten out of ten.

Quotes from Members

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

Pros

"The most valuable feature is the solutions overall performance. It is very efficient and accurate for our usage."
"Enables dynamic injections from within the product which is great."
"The most valuable feature of the solution is that it scales automatically without manual intervention based on the metrics we provide."
"Our internal business applications are hosted in AWS Auto Scaling."
"The solution's monitoring effectively monitors our application and CPU utilization."
"AWS Auto Scaling is cost-effective and very useful for businesses."
"When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements."
"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. When it reaches seventy percent, it sends me an email notification."
"It helps us to reduce the cost."
"The product provides self-healing features."
 

Cons

"In the next release, I would like to see the possibility of sharing the metric from this solution with other solutions."
"The end-to-end distributor tracing connectivity isn't there."
"The solution must improve automation."
"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."
"The solution is not out-of-the-box and you have to study to use it. It should be more easier to use."
"The billing and cost optimization of the solution could be improved."
"Flexibility in configuring the workload is missing in AWS Auto Scaling."
"The speed of the solution must be improved."
"It could be cheaper."
"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."
 

Pricing and Cost Advice

Information not available
"AWS Auto Scaling is a cheap solution."
"AWS Auto Scaling is an expensive solution."
"AWS Auto Scaling's price is high."
"The product has moderate pricing."
"The product is expensive."
"The pricing is good. I have not had any customers that have complained about the price."
"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."
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814,649 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
23%
Computer Software Company
17%
Retailer
9%
Manufacturing Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Akamai mPulse?
Enables dynamic injections from within the product which is great.
What needs improvement with Akamai mPulse?
The end-to-end distributor tracing needs some work because the connectivity from the user to the backend wasn't there. Akamai mPulse was not able to deliver on our requirements regarding observatio...
What is your primary use case for Akamai mPulse?
The primary use case of mPulse is for real-time user monitoring. Our use case was to observe the entire platform from the user all the way to the backend system and that's what it did. It's all in ...
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?
AWS Auto Scaling is an expensive solution. We pay a monthly licensing fee for the solution.
What needs improvement with AWS Auto Scaling?
In comparison to other public clouds, the product is costly.
 

Comparisons

 

Also Known As

SOASTA mPulse
AWS Auto-Scaling
 

Overview

 

Sample Customers

Nordstrom, Gatwick, DirecTV, MSN, SquareSpace, SAP, Lenovo, Hallmark, myspace, Intuit, Kentucky Derby, Toys "R" Us, Netflix, Newsweek, The Washington Post, Lowe's, Nike, REI, Apple, Sears, Verizon, Wendy's, Huawei
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Find out what your peers are saying about AWS Auto Scaling vs. Akamai mPulse and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.