We performed a comparison between AWS Auto Scaling and Elastic Observability 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."AWS Auto Scaling is cost-effective and very useful for businesses."
"The good thing about Autoscaling is that it provides the capacity to minimize downtime. So, it gives you the assurance of stability and robustness within your system."
"The tool gives you the flexibility to scale up and grow. The solution is also fast to deploy."
"It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."
"Our internal business applications are hosted in AWS Auto Scaling."
"When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements."
"The product provides self-healing features."
"The various scaling options available, such as step scaling, are particularly useful."
"The architecture and system's stability are simple."
"We can view and connect different sources to the dashboard using it."
"It has always been a stable solution."
"The product has connectors to many services."
"Good design and easy to use once implemented."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"The price is very less expensive compared to the other solutions."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"The product’s pricing needs improvement."
"The solution's infrastructure scalability and elasticity could be improved."
"The speed of the solution must be improved."
"Flexibility in configuring the workload is missing in AWS Auto Scaling."
"The tool must include AI features."
"AWS Auto Scaling's documentation could be better."
"The product could add more features for managing instances."
"The solution is not out-of-the-box and you have to study to use it. It should be more easier to use."
"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"There could be more low-code features included in the product."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."
"The interface could be improved."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
AWS Auto Scaling is ranked 15th in Application Performance Monitoring (APM) and Observability with 18 reviews while Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews. AWS Auto Scaling is rated 8.8, while Elastic Observability is rated 7.8. 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 Elastic Observability writes "The user interface framework lets us do custom development when needed. ". AWS Auto Scaling is most compared with , whereas Elastic Observability is most compared with Dynatrace, New Relic, AppDynamics, Azure Monitor and Datadog. See our AWS Auto Scaling vs. Elastic Observability 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.
