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."
"The health check integration feature ensures that the instances are healthy and capable of absorbing traffic, thus serving their purpose effectively."
"The solution's monitoring effectively monitors our application and CPU utilization."
"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."
"The product provides self-healing features."
"The various scaling options available, such as step scaling, are particularly useful."
"The tool gives you the flexibility to scale up and grow. The solution is also fast to deploy."
"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 solution helps optimize the cost of the AWS environment."
"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."
"The setup can be a bit complex in some situations."
"The speed of the solution must 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 billing and cost optimization of the solution could be improved."
"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 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.