ChaosSearch: Logging and Oberservability 2023 Results

Do you capture, store and analyze all of your log & event data? (Choose one)
No, only select logs (i.e., error, security, etc.)
31%
17
Yes, but logs stored in different places (different apps for different use cases / teams)
30%
16
Yes, all logs are stored in a central platform
22%
12
Not sure, different teams handle logging
17%
9
Have you implemented a strategy for aggregating the logs from your Kubernetes, microservices and cloud-native environments? (Choose one)
Yes
30%
17
On our roadmap
20%
11
At the beginning of the journey
16%
9
No current plans
34%
19
Has your organization started or considered its journey towards observability? (Choose one)
We have partial observability
26%
15
We have full-stack observability
21%
12
We have a best-of-breed approach to observability
12%
7
Actively planning for the journey
18%
10
Observability? What’s that?
23%
13
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
24%
14
Yes, to be able to translate my questions into queries that I can ask my log & event analytics tool
31%
18
Yes, to help me understand outliers & suggest ways to troubleshoot faster
27%
16
Probably. I’d try it, but I don’t think it’d be very helpful
14%
8
No. That’s a gimmick
12%
7
I don’t know
17%
10