ChaosSearch Test Page Logging and Oberservability 2023 Step 1 of 7 14% 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 How long would you prefer to retain log & event data? (Choose one) Over 1 year 3 months - 1 year 1 month - 3 months 1 week - 1 month 1 week or less What would be the top benefit of capturing, analyzing and being able to query all of your log & event data over long retention periods? (Choose all that apply) Enhanced visibility Improve mean time to response (MTTR) Improve visibility over users’ behavior over time Improve security posture What is holding you back from capturing and analyzing more of your log & event data & having increased retention? (Choose one) Our tools can’t scale Data complexity (e.g. changing schemas/nested JSON) Costs/Too Expensive All of the above 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 Δ
