We performed a comparison between AWS Auto Scaling and eG Enterprise 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."It can scale."
"The solution's monitoring effectively monitors our application and CPU utilization."
"AWS Auto Scaling is cost-effective and very useful for businesses."
"It is a stable platform."
"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."
"I like the graphs provided by the tool."
"It helps us to reduce the cost."
"Some of the best features of eG are, in terms of APM, they have complete modules between application performance monitoring, server monitoring, and even storage and network-based monitoring. The UI is also quite good. They have some standard AI-based capabilities, even though it's not quite as advanced when compared to Dynatrace. eG has some good, basic APM capabilities."
"User session details"
"The topology view which provides a visual representation of a service and quickly allows identification of errors or degraded performance."
"eG Enterprise has a single pane of glass for observability and monitoring."
"The algorithm is the most valuable aspect of the solution."
"Its ability to monitor failures and to restart a Windows service when it fails."
"The product is simple to use."
"The GUI is nicer than all the other graphical interfaces out there."
"We can have more auto scaling algorithms implemented in AWS Auto Scaling."
"The speed of the solution must be improved."
"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."
"AWS Auto Scaling's documentation could be better."
"The tool must include AI features."
"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 pricing needs improvement."
"Needs to improve the networking monitor capabilities."
"The interface could be improved as it is not real intuitive. It is not user-friendly."
"In terms of areas for improvement in eG Enterprise, we are now moving most of our services to the OpenShift platform, and we need a way to monitor even containerized services or any service deployed on OpenShift, but that feature is still not available in eG Enterprise, so it's not good enough for us."
"Application TCP latency is an area with room for improvement, but I believe this is already on the roadmap."
"The UI looks a little dated and could do with a refresh."
"I can understand why they designed the user interface (UI) the way they did, but sometimes in the management of the eG Manager, it can be a bit clunky."
"In terms of sales or market perspective, they must invest in Latin America with professionals with a more marked presence."
"would like to see improvements in the alarm display console."
AWS Auto Scaling is ranked 27th in Application Performance Monitoring (APM) and Observability with 17 reviews while eG Enterprise is ranked 40th in Application Performance Monitoring (APM) and Observability with 21 reviews. AWS Auto Scaling is rated 8.8, while eG Enterprise is rated 8.2. The top reviewer of AWS Auto Scaling writes "The product helps reduce costs and avoids interruptions to the customer experience". On the other hand, the top reviewer of eG Enterprise writes "Great visibility, easy to set up, and has very responsive technical support". AWS Auto Scaling is most compared with Splunk Enterprise Security, whereas eG Enterprise is most compared with Grafana, ControlUp, Zabbix, Dynatrace and AppDynamics. See our AWS Auto Scaling vs. eG Enterprise 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.
