Splunk exec on AI observability's "double-edged sword"

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 Splunk

In today’s episode, we’ll cover…

• This week's Splunk State of Observability 2025 report
• How observability practices affect digital businesses
• How AI both solves and creates observability problems

and more!

References:

• Cisco-Splunk strategy shift unveiled with Data Fabric
• Under 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

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