We performed a comparison between Akamai mPulse and AWS Auto Scaling 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."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."
"It is a stable platform."
"I like the graphs provided by the tool."
"The solution's monitoring effectively monitors our application and CPU utilization."
"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."
"The various scaling options available, such as step scaling, are particularly useful."
"The health check integration feature ensures that the instances are healthy and capable of absorbing traffic, thus serving their purpose effectively."
"It can scale."
"It helps us to reduce the cost."
"The end-to-end distributor tracing connectivity isn't there."
"In the next release, I would like to see the possibility of sharing the metric from this solution with other solutions."
"The tool's stability 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."
"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."
"The solution is not out-of-the-box and you have to study to use it. It should be more easier to use."
"The product’s security features need improvement."
"In comparison to other public clouds, the product is costly."
"The product’s pricing needs improvement."
Akamai mPulse is ranked 53rd in Application Performance Monitoring (APM) and Observability with 6 reviews while AWS Auto Scaling is ranked 15th in Application Performance Monitoring (APM) and Observability with 18 reviews. Akamai mPulse is rated 6.6, while AWS Auto Scaling is rated 8.8. The top reviewer of Akamai mPulse writes "Lacking in regard to observation of the entire platform but does dynamic injections from within". On the other hand, the top reviewer of AWS Auto Scaling writes "The product helps reduce costs and avoids interruptions to the customer experience". Akamai mPulse is most compared with Dynatrace, New Relic, Grafana, Datadog and AppDynamics, whereas AWS Auto Scaling is most compared with . See our AWS Auto Scaling vs. Akamai mPulse report.
See our list of best Application Performance Monitoring (APM) and Observability vendors.
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.
