Splunk AI Assistant for SPL review
Use Cases and Deployment Scope
Splunk AI Assitant for SPL is very useful for me and my team of developers. It helps us to create reports and dashboard faster and also allows us more time to create more complex tasks. We also use it to help train new teammates on Splunk, then learn faster and they can be available to delivery in less time than before.
Pros
- Create complex requests
- Optimize SPL requests
- learning and training
Cons
- more data awareness of the issue
- explain more about best practice and performance issue in some query
- can't be used for complex panel, where it requires to check multiple panels, with multiple sources and sourcetype and complex dashboarding linked
Return on Investment
- Quicker training (so people are delivering way sooner) --> 2 weeks of training, now only 1 necessary
- Small and reduntant tasks done by AI, taking way much time, sometimes dividing by 2 the time
- People check less their query, which can lead to multiple rechecks and lost time
Usability
Alternatives Considered
CoPilot AI, Google Gemini and ChatGPT
Other Software Used
ChatGPT, Google Gemini, CoPilot AI