Operations | Monitoring | ITSM | DevOps | Cloud

In this video, you'll learn how to integrate Large Language Models (LLMs) with Site24x7 using Bring Your Own Key (BYOK), Zoho Key Services (ZKS), and Microsoft Azure OpenAI. Discover how Zia helps you analyze outages, understand performance issues, identify root causes, and get monitoring insights using simple natural-language queries. What you'll learn.

On this episode of Masters of Data, we revisit the predictions Adam White, Zoe Hawkins, and David Girvin made at the end of last year, checking our own scorecard halfway through 2026. The hits: agents running amok and deleting databases, MCP becoming the backbone for tracking what agents actually do, growing security gaps around personal data, and a collective rejection of low-quality AI content. The misses: we underestimated how fast companies would cut staff for AI, then quietly start rehiring once the agents couldn't cover the work, and we're still arguing about whether token burn is a cost problem or a coming attack vector.

Agents are pretty good at fixing your apps. We can make them even better. ​In this workshop we’re going to show you how to give your agents superpowers using Seer, the Sentry MCP server, and CLI tool. Join to learn how to: ​- Teach agents how to best implement and work with Sentry through agent skills and the CLI tool. ​- Set up Seer’s agent handoff feature for Claude, Cursor, or GitHub Copilot and have agents start automatically generating pull requests for fixes.

Most enterprises have observability tools. What they often lack is a shared view between application and infrastructure teams. When application performance degrades, finding the root cause can be slow because the data lives in separate silos. Virtana brings application observability and infrastructure intelligence together in a single platform, helping teams identify issues faster, collaborate more effectively, and shift from reactive troubleshooting to proactive operations.

Lightrun's Or Golan demos the Runtime Aware PR Verifier, a new Lightrun product that simulates pull requests against live runtime behavior before you merge. Watch use Lightrun to simulate an AI-generated PR, identify the affected production flows, and uncover a hidden risk that static review would miss. Instead of only asking whether the code looks correct, Runtime Aware PR Verifier checks whether the change matches how your system actually behaves in production.

Watch the full episode: MCP vs CLI: Does it even make a difference? Live Laugh Logs ep. 3.