Operations | Monitoring | ITSM | DevOps | Cloud

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.

Tom and Akhilesh unpack why automation alone will never deliver autonomy, and why intelligence means anticipating change rather than constantly reacting to it. They explore the role of people in enterprise transformation, the limits of technology without trust and context, and why the most powerful use of AI is freeing humans to focus on what they do best. Plus, Akhilesh makes the case for ping pong as a surprisingly effective way to reset when the pressure is on.

Everett Sinclair, Network Administrator at Conway Corporation, explains why Kentik became their “one pane of glass” for cloud-based network visibility, rapid troubleshooting, and smarter peering and caching decisions. With Kentik’s SaaS network intelligence platform, Conway gets updates automatically, avoids server rebuilds, and can deploy cloud agents remotely to run simple metric tests close to customer locations.

Sorin Esanu, Director of Network Engineering at Race Communications, explains why deep, always-on network intelligence is essential when you have massive volumes of traffic moving in and out from many sources. After outgrowing an on-prem tool that required ongoing maintenance and didn’t deliver the analytics they needed, Race chose Kentik for richer visibility, daily traffic optimization, and improved security.

Security that developers never have to think about. That's the goal Audrey Long, Senior Gaming Cloud Security Architect at Microsoft Gaming Security, set out to achieve, and then actually built. In this GitKon session, Audrey walks through how Microsoft Gaming tackled a massive identity security challenge across double-digit Entra ID tenants spanning independent game studios. With no existing tooling that fit the pace of game development, her team built the Entra ID Tenant Security Scanner from scratch using the Maester Framework, custom PowerShell, and GitHub Actions.

Most teams aren't full of A-players because most leaders are playing the wrong game. They're chasing expensive talent with perfect resumes instead of identifying people who can be A-players in their specific context. The best leaders know how to spot undervalued talent, develop them systematically, and create environments where top performers choose to stay. This session shows you how to build your own talent factory instead of competing for the same overpriced candidates as everyone else.