Operations | Monitoring | ITSM | DevOps | Cloud

Learn how to capture and use response data from network calls to build smarter and more reliable AI-driven tests. This walkthrough covers the full workflow from configuring user actions to extracting backend responses, validating data, and creating dynamic test flows. You will also see how response data improves debugging visibility and supports data-driven automation. The video includes Ideal for developers, testers, and platform engineers looking to improve the accuracy and resilience of AI-powered test suites.

Introducing Runtime Context for AI agents The next evolution in autonomous software development. The Lightrun MCP connects IDEs and AI assistants to real runtime data, giving agents and developers the context they need to write, validate, and debug code with confidence. With Runtime Context, AI agents can: Reliable, AI-accelerated engineering starts here.

Join SolarWinds CISO Tim Brown and CTO Sai Krishna for the SolarWinds Day Closing Keynote, where they share how SolarWinds is evolving from Secure by Design to AI by Design—a bold next step in building trusted, intelligent, and future-ready IT operations. As organizations adopt AI-driven systems, embedding trust, transparency, and accountability into product development becomes essential. In this forward-looking discussion, Tim and Sai reveal how the AI by Design framework ensures responsible AI adoption while enhancing performance, reliability, and security.

Get a closer look at features we announced at AWS re:Invent in the latest episode of This Month in Datadog. Tune in for spotlights of Bits AI SRE, now generally available, and Datadog’s MCP Server, which connects AI agents to our platform by ingesting prompts and mapping them to Datadog resources and data. Plus, we cover how to: This Month in Datadog brings you the latest updates on our newest product features, announcements, resources, and events.