Do you capture, store and analyze all of your log & event data? (Choose one)
No, only select logs (i.e., error, security, etc.)
Yes, but logs stored in different places (different apps for different use cases / teams)
Yes, all logs are stored in a central platform
Not sure, different teams handle logging
Have you implemented a strategy for aggregating the logs from your Kubernetes, microservices and cloud-native environments? (Choose one)
Yes
On our roadmap
At the beginning of the journey
No current plans
Has your organization started or considered its journey towards observability? (Choose one)
We have partial observability
We have full-stack observability
We have a best-of-breed approach to observability
Actively planning for the journey
Observability? What’s that?
Do you think Generative AI (e.g. ChatGPT) would significantly improve your ability to analyze your log & event data? (Choose all that apply)
Yes, to understand ever-changing log & event data quickly
Yes, to be able to translate my questions into queries that I can ask my log & event analytics tool
Yes, to help me understand outliers & suggest ways to troubleshoot faster
Probably. I’d try it, but I don’t think it’d be very helpful
No. That’s a gimmick
I don’t know
