Operations | Monitoring | ITSM | DevOps | Cloud

When leadership breaks down, we tend to blame people, culture, execution, or even ourselves. But most organizations are behaving exactly as their systems allow. This presentation looks at leadership like a system to be debugged. Instead of focusing on intent or language, we’ll examine outcomes: what behaviors are rewarded, where friction appears, and how incentives and constraints shape decision-making inside IT teams.

As IT leaders, you’ve heard it before. If operations are running smoothly, executives may ask, “What are we paying you for?” but if issues arise that affect the organization, you may face the same question, “What are we paying you for?”

Managing Azure Virtual Desktop doesn’t have to mean jumping between portal blades, logs, and metrics trying to piece together what’s happening. In this webinar, you’ll learn how to design and implement a single, operational observability dashboard for Azure Virtual Desktop (AVD) using SquaredUp Cloud — transforming fragmented telemetry into clear, actionable insight. Whether you're responsible for performance, user experience, or operational stability, this session will give you a structured, repeatable framework for monitoring your AVD estate with confidence.

When incidents strike, speed and clarity are critical. Datadog Incident Response brings the full incident lifecycle into one platform so teams can move from detection to resolution with confidence. Operate from a single, unified view of your systems, coordinate across the tools your teams already use, and leverage AI that analyzes incidents in real time to surface context, guide decisions, and accelerate resolution.

AI went down. Work stopped. The lesson from the Claude outage: when AI fails, workflows stall and requests pile up. Resilient IT keeps work moving. Even when AI goes dark.

Pipeline Creation: Using a single prompt in the IDE, a CI/CD pipeline is created and triggered via the agent connected to the Harness MCP server. Failure Diagnosis and Fix: When the pipeline fails, the agent is used to diagnose the issue (a failed dependency) and propose a fix, which is then committed, pushed, and the pipeline re-triggered to succeed. Deployment: After a successful build, the artifact is deployed into a Kubernetes cluster. Incident Response.

The AI revolution is getting expensive. Ben Norris (AI Engineer at Civo) breaks down a staggering statistic: AI token usage has jumped from 9.8 trillion to 1.3 quadrillion in just under two years—a 130x increase. As businesses scale, the "closed source" premium is becoming a bottleneck. Watch as Ben explains why enterprises are turning toward democratized, open-source AI and smaller vendors like relaxAI to maintain power at a fraction of the cost.

What does it actually look like to build an AI-native product and lead an engineering team through the AI era when you've been doing it longer than most? Rob Zuber sits down with Loïc Houssier, CTO at Superhuman, to talk about what it meant to be an AI company before AI was everywhere, and how that early foundation shapes the way they build, ship, and think today.