Operations | Monitoring | ITSM | DevOps | Cloud

In this episode, we’re diving into observability for Generative AI apps. AI helps us write code and monitor applications in production - but how do we observe the AI itself? And how do we make sense of complex, non-deterministic AI systems? We’re joined by two great guests: Ishan Jain, working on GenAI observability and Luccas Quadros, working on Grafana Assistant. Together, they bring both platform-level insights and real-world perspectives.

Normalizing security logs into the Open Cybersecurity Schema Framework (OCSF) is often complex, manual, and time-consuming. With Datadog Observability Pipelines, you can easily transform logs into OCSF format—right in your own environment—before routing them to destinations like Splunk, CrowdStrike, and AWS Security Lake. This video show how Security teams can use Observability Pipelines to: Collect, process, and transform logs into OCSF format automatically.

When every second counts, your IT systems can’t afford blind spots. SolarWinds Observability delivers AI-powered, contextual awareness to help IT teams keep critical services running no matter the complexity. Connect the dots across networks, applications, cloud environments, and physical infrastructure with one comprehensive observability platform. With intelligent insights and real-time visibility, SolarWinds helps you prevent downtime, troubleshoot faster, and resolve issues before they impact users even in the most demanding environments.

If your system is already down, you aren't being proactive; you're being reactive. True proactivity happens before the release. Validate your code before it hits production. Learn more: speedscale.com.