Patrick Lin from Splunk discusses how observability extends beyond IT, highlighting its importance in improving business decisions, customer support, and revenue. The interview also covers challenges in enterprise observability, like standardization and teamwork, along with the changing role of AI in observability methods. AI automation can help observability practitioners keep up with increasingly complex infrastructure, but customer-facing AI apps present their own thorny management problems as production workloads.Featuring: Patrick Lin, Senior Vice President and General Manager of Observability at SplunkIn today’s episode, we’ll cover…This week's Splunk State of Observability 2025 reportHow observability practices affect digital businessesHow AI both solves and creates observability problemsand more!References: Cisco-Splunk strategy shift unveiled with Data FabricUnder Cisco, Splunk AI roadmap tees up pricing overhaul Splunk preps OpenLLMetry tie-ins for deeper AI monitoring Cisco and Splunk are teaching AI to anticipate system failures To learn more about software development and platform engineering, check out Search IT Operations.To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.