Rocketlane vs. Splunk AI Assistant for SPL

There is project management tracking from the start till the end (onboarding till hypercare). The bifurcation of project stages and pre-built templates is good; you can assign client tasks. Less appropriate: Raising tickets for developers because there is no escalation management option. Let’s say the developer didn’t reply in 24 hours for a high-priority task; this should be automatically escalated to their senior.

Incentivized

Splunk AI Assistant for SPL is well suited for people wanting to code on splunk but have limited or few knowledge on SPL requests. It can be good for people learning and training but also for business applying their own business case thanks to the AI, good for simple case scenario. However, for more complex scenario, involving for example multiple dashboard linked with workflow (get/post) and treillis, leading to other dashboard etc.. AI can be limited to the memory it can hold in.

Incentivized

• Saved Project Manager time by 80-85%
• Ease of use, User Friendly interface
• Reminders : Email notification on upcoming due task to task owner
• Publishing of Periodic Project Status Report

Incentivized

• Create complex requests
• Optimize SPL requests
• learning and training

Incentivized

• Project Opening time
• Automated time tracked should be there
• Every phase has a option to make a call and zoom so time tracked real time

Incentivized

• 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

Incentivized

It really helps to support us in supporting our customers.

Incentivized

Because of the impact, it has created in terms of saving resources and time by helping them with project-related timelines.

Incentivized

Splunk AI Assistant for SPL is good tool, as I said, it is really useful for educational purpose, taking in its hands small and simple tasks (ex:small query dashboard,...), but it's not a ten because the contextual memory for complex issues/dashboarding/reports etc can be limited, and can sometime suggets none optimized query which are not always checked by teammates and can cause issue on the long term.

Incentivized

For our specific needs, Rocketlane fits the bill perfectly. It had just the right amount of features without it being overly complicated to teach the client. The pricing also worked out well: just pay monthly licenses per user.

Incentivized

CoPilot AI and ChatGPT I think lacks context so compared to Splunk AI Assistant for SPL they almost always answer something that do not work. Gemini is better than those two but Splunk AI Assistant for SPL still have the most knowledge for SPL and suggets SPL query that always works but performance can be limited on some of these.

Incentivized

• Dislike can be that we are not able to add tasks when we are filling the timesheet directly and so then we have to go to that project and create task and then put up the time. If I want to fill past days timesheet then this cause double work.

Incentivized

• 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

Incentivized