We performed a comparison between AWS Auto Scaling and Splunk Enterprise Security 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."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."
"When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements."
"It can scale."
"It is a stable platform."
"The various scaling options available, such as step scaling, are particularly useful."
"It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."
"The health check integration feature ensures that the instances are healthy and capable of absorbing traffic, thus serving their purpose effectively."
"I have also been able to take advantage of some of the more complex statistical capabilities when analyzing logs."
"It is quite extensible. It is a platform that we can build our use instead of each case instead of each case being limited or restricted to each capability. This is probably the best feature."
"The initial setup isn't overly complex."
"The level of robustness on offer is very good."
"Its usability is the best part. It is easy for our developers to use if they want to search their logs, etc."
"It gives me notifications of notable events."
"The feature that we use the most is the correlation search engine within ES."
"I like the ease with which dashboards can be created."
"The product’s security features need improvement."
"The billing and cost optimization of the solution could be improved."
"We can have more auto scaling algorithms implemented in AWS Auto Scaling."
"The speed of the solution must be improved."
"The solution must improve automation."
"It could be cheaper."
"The product could add more features for managing instances."
"The tool must include AI features."
"The Enterprise Security app could be improved. We have had trouble with it working from the first day."
"When we do a rollout from the server or host or anything, we'd like to see more automation. It would save us time."
"Endpoint access is the only issue I can think to mention, even though the endpoint access we have with Cisco is fine."
"Splunk can be an expensive solution. Technical support could be improved as well."
"I would like to see an updated dashboard. The dashboard is a little out-of-date. It could be made prettier."
"It currently has limited default rules and customizations. If they can concentrate more on the compliance part and the security information part, it would be helpful. The platform part is good, but it requires many features from the security aspect."
"It needs a better way to export dynamic views without requiring a ton of code and user/pw."
"From the commercial point of view, they have to bring down their costs."
AWS Auto Scaling is ranked 27th in Application Performance Monitoring (APM) and Observability with 17 reviews while Splunk Enterprise Security is ranked 2nd in Security Information and Event Management (SIEM) with 227 reviews. AWS Auto Scaling is rated 8.8, while Splunk Enterprise Security is rated 8.4. 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 Splunk Enterprise Security writes "It has a drag-and-drop interface, so you don't need to know SQL or Java to construct a query ". AWS Auto Scaling is most compared with , whereas Splunk Enterprise Security is most compared with Wazuh, Dynatrace, IBM Security QRadar, Microsoft Sentinel and Elastic Security.
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.
