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 various scaling options available, such as step scaling, are particularly useful."
"It helps us to reduce the cost."
"It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."
"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 product provides self-healing features."
"Our internal business applications are hosted in AWS Auto Scaling."
"AWS Auto Scaling is cost-effective and very useful for businesses."
"I like the ease with which dashboards can be created."
"Splunk allows us to customize processing and dashboards, which helps us take care of our customers' needs."
"Our clients are easily able to modify and evolve their implementations."
"Splunk Enterprise Security is able to process a huge amount of data without any issues."
"The solution allows easy gathering and ingestion of the data."
"The most valuable aspect of the solution is the dashboard. It's very intuitive."
"They are a good partner for Google Cloud. It provides great visibility, threat detection, and proactive mitigation of risks for our mutual consumers."
"It provides a risk score for each object, device, or user. We can then take action if they are at a higher risk."
"The speed of the solution must be improved."
"AWS Auto Scaling's documentation could be better."
"The setup can be a bit complex in some situations."
"We can have more auto scaling algorithms implemented in AWS Auto Scaling."
"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."
"Flexibility in configuring the workload is missing in AWS Auto Scaling."
"The tool's stability could be improved."
"In comparison to other public clouds, the product is costly."
"The UI could be better. This is applicable to Splunk in general. I know that a lot of people who get their hands on Splunk are hesitant to use it just because they find it overwhelming. There are a lot of options."
"The historical data extraction needs improvement. I would like the capability of taking data and having it trend longer."
"Its search or filtering capability is nice, but it can be improved. It is currently a bit complicated, and it should be simplified. If we can write the search filter in a more simplified way, it would be better."
"The complexity could be worked on so that it's even easier and faster."
"Configuring a few apps is complex, not straightforward."
"The level of scalability depends on the license you have. You can expand or reduce it based on the environment. It does cost more money to scale, however."
"Its user interface for everything other than the charts can be improved. Some parts of it can be simplified a bit, such as when importing documents that have the network traffic. When you're going through the information about the network traffic, you have to have the expertise, but even if a program is supposed to be for IT support, it is good to make it user-friendly because it gets easier to train people. When something goes wrong, the more difficult a program is in terms of UI, the harder it is to fix the issue."
"The training was mostly sales-focused, like how to monitor your sales. It was hard to then come back from doing the training and try to switch it to a cybersecurity focus because all the training we did was sales oriented. The basic training didn't really touch on any kind of cybersecurity use cases or anything like that. That would have been great to see in the training."
AWS Auto Scaling is ranked 15th in Application Performance Monitoring (APM) and Observability with 18 reviews while Splunk Enterprise Security is ranked 1st in Security Information and Event Management (SIEM) with 246 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, IBM Security QRadar, Dynatrace, Elastic Security and Microsoft Sentinel.
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