LABOBS-2000 - AI Applications in Production: How to Monitor, Debug & Optimize at Scale with Splunk
Proctors | Mohammed Azharuddin | Banerjee Mithun | Garza Rios Ramiro |

As AI powers more business-critical applications, having full visibility into your production environment is no longer optional — it's essential. This hands-on lab walks you through monitoring, debugging, and optimizing AI and LLM applications at scale using Splunk Observability Cloud, making AI observability as familiar as monitoring any other application.

What you'll do:
  • Instrument a real LLM application and send telemetry to Splunk Observability Cloud
  • Visualize and troubleshoot LLM pipeline health, usage, and performance in real time
  • Debug production issues and optimize performance using practical, repeatable techniques
What you'll take away:
  • Best practices for AI observability in cloud-native environments
  • A repeatable approach to instrumenting AI workloads for immediate business value
  • Hands-on experience you can apply to your own AI applications in production
Who should attend:

Intermediate practitioners — developers, DevOps, SREs, and platform engineers — deploying or managing AI applications in production environments.

A hands-on demo and lab is included.

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