Datadog Is The Watchdog The AI Boom Needs

Datadog fetched a big rally Thursday after posting record quarterly revenue and raising its full-year outlook. The company reported first-quarter revenue of $1.006 billion, up 32% from a year earlier, while non-GAAP earnings came in at $0.60 per share. Shares jumped about 31% after the release, as Wall Street latched onto a quarter that made Datadog’s monitoring software look newly essential to the AI boom.

The quarter’s real bite came from Datadog’s role in the AI buildout. The company put a practical frame around artificial intelligence spending beyond chips, servers, and data-center power bills. Datadog sells the tools that help companies watch their cloud infrastructure, applications, security systems, and AI workloads in real time. As those systems get larger and harder to manage, visibility becomes part of the infrastructure itself. The AI boom can only scale if companies can see what is working, what is breaking, and what is sneaking in through the back door.

Datadog generated $335 million in operating cash flow and $289 million in free cash flow, while customers with at least $100,000 in annual recurring revenue rose to about 4,550 from about 3,770 a year earlier. The company also launched new products tied to GPU monitoring, AI security analysis, AI coding agents, and experimentation tools. Datadog is not just barking about AI demand from the sidelines. It is building a dashboard for the companies trying to make AI work without turning their tech departments into a fire drill.

Datadog said it expects second-quarter revenue of $1.07 billion to $1.08 billion, and raised its full-year revenue forecast to $4.30 billion to $4.34 billion. That gave investors the combination they wanted — faster growth, real cash generation, bigger customers, and an AI angle that feels natural instead of promotional. For Wall Street, that was enough to turn Datadog from a cloud-software name into a compelling way to play the AI infrastructure boom.

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