We performed a comparison between Akamai mPulse and AWS Auto Scaling based on real PeerSpot user reviews.
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability."Enables dynamic injections from within the product which is great."
"The most valuable feature is the solutions overall performance. It is very efficient and accurate for our usage."
"The product provides self-healing features."
"The solution's monitoring effectively monitors our application and CPU utilization."
"Our internal business applications are hosted in AWS Auto Scaling."
"AWS Auto Scaling is cost-effective and very useful for businesses."
"The solution helps optimize the cost of the AWS environment."
"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."
"It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."
"It is a stable platform."
"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 product’s pricing needs improvement."
"It could be cheaper."
"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 product could add more features for managing instances."
"AWS Auto Scaling's documentation could be better."
"The tool must include AI features."
"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."
Akamai mPulse is ranked 51st in Application Performance Monitoring (APM) and Observability with 6 reviews while AWS Auto Scaling is ranked 27th 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 New Relic, Dynatrace, Grafana, Datadog and AppDynamics, whereas AWS Auto Scaling is most compared with Splunk Enterprise Security.
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.
