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."I like the graphs provided by the tool."
"It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."
"The product provides self-healing features."
"The solution helps optimize the cost of the AWS environment."
"The various scaling options available, such as step scaling, are particularly useful."
"When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements."
"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 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."
"Splunk has improved our operations by giving us access to more information and allowing us to deploy more use cases."
"The best part of Splunk Enterprise Security is its customizable settings."
"The feature that we use the most is the correlation search engine within ES."
"The ability to ingest different log types from many different products in our environment is most valuable."
"I like the ease with which dashboards can be created."
"It's basically one of the best SIEM products on the market."
"Great platform with user-friendly interface and GUI."
"The ability to view all of these different logs, then drilling down into specific times or into specific data sources, has proved to be the greatest aspect in decreasing our troubleshooting overhead time."
"The solution is not out-of-the-box and you have to study to use it. It should be more easier to use."
"The solution's infrastructure scalability and elasticity could be improved."
"The product’s pricing needs improvement."
"Flexibility in configuring the workload is missing in AWS Auto Scaling."
"The billing and cost optimization of the solution could 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."
"The tool must include AI features."
"We can have more auto scaling algorithms implemented in AWS Auto Scaling."
"I would like Splunk to add more integration. QRadar has many indications with more products than Splunk."
"A problem that we had recently had was we licensed it based on how much data you upload to them every day. Something changed in one our applications, and it started generating three to four times as many logs and. So now, we are trying to assemble something with parts of the Splunk API to warn ourselves, then turn it off and throttle it back more. However it would be better if they had something systematically built into the product that if you're getting close to your license, then to shut things down."
"There are limitations with Splunk not detecting all user activity, especially on mainframes and network devices."
"Splunk needs to be able to hold more days of data. At the moment it only holds three months of data."
"The monitoring aspect of Splunk could be improved. We have to do some queries to get as much information as CrowdStrike or other solutions provide. If you run a big query, you will see a delay. That is the only concern we have because it will take some time if you query large data sets."
"Splunk could have more built-in use case presets that customers can build on and customize."
"The solution should also have more advanced capabilities in comparison with QRadar, which offers Watson."
"It needs integration with a configuration management solution."
AWS Auto Scaling is ranked 27th in Application Performance Monitoring (APM) and Observability with 18 reviews while Splunk Enterprise Security is ranked 2nd in Security Information and Event Management (SIEM) with 228 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.
