Amazon CloudSearch vs Splunk Enterprise

• Really fast queries
• Good Reporting
• Reduce the cost of the server

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• Allow for separation of control where we don't let some employees have access to production but still can diagnose issues.
• Common location to go for all logs even if the logs themselves aren't in the same place.
• Ability to ingest logs from different locations without having to change the code to put logs in a certain place (pro and con).

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• Can take some time to implement
• The initial configuration can be tricky
• Takes some time to update the values

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• Even though there is a search tool as a help function, you still have to read through many documentation to find the answers you're looking for and sometimes you don't find it. The help function in Splunk could be improved to be more intuitive or have a built-in help per report, panel or dashboard.
• Creating a Splunk dashboard is rather straightforward however, customization is not. Splunk could be improved to provide more tools or features for customization such as adding colors and font options for text and graphs or graphics.
• My dashboard has a lot of useful information and I want the important panels and reports at the top but there is no easy way to do this. Perhaps Splunk could be improved to allow features such as adding URL links to other dashboards or some other clever way to emphasize the important data in my dashboard without compromising space.

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• Positive Point - Reduced the server load
• Negative point - Not suitable for all queries
• Negative Point - Time to implement this feature

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• I'm not a data analyst so I can not provide concrete examples on how the business has benefited from implementing Splunk. However, the analysts I have worked with have provided a wealth of support in reducing workstation issues across the enterprise. This alone reduces the time it takes to determine where the exact problem lies between a workstation and the servers it tries to communicate with.

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