If your developers weren't looking at dashboards before, they won't use a chat interface to interrogate it either. That doesn't really bring it to them any more than their existing capabilities. There's also a worrying underlying assumption being made here that the answers your LLM will give you are accurate and trustworthy.
My underlying assumption is that this is a content marketing piece to show managers / investors that "we are doing/thinking something in ai as a company"
> There's also a worrying underlying assumption being made here that the answers your LLM will give you are accurate and trustworthy.
I first hand saw in, AWS devDays, an AI giving SIWINCH as "root-cause" of Apache error in a containerized process is in EKS for a backend FCGI process connection error. It has been extremely hard since that demo to trust any AI for system level debugging.
If we were smart we'd use AI to grok a system in order to help us reduce its complexity. I don't think we're anywhere close to even being able to provide all the necessary context to solve problems like this.
(1) when was that? If it was less < 6months ago, the current gen of models is noticeably better
(2) AWS is not a leader, if even a contender, in the AI space. I would not evaluate the potential based on a demo they produced