Datadog provides a cloud-based observability and security platform that gives software engineering and operations teams real-time visibility into their technology stacks. The core problem Datadog solves is that modern cloud applications run across dozens of interconnected services and infrastructure environments, making it difficult to diagnose performance problems or outages. Datadog aggregates data from across a customer's entire stack into a single unified interface, enabling teams to find root causes and resolve issues quickly. Datadog's three core product lines — Infrastructure Monitoring, Application Performance Monitoring (APM), and Log Management — drive the majority of revenue. Beyond these, Datadog has expanded into security (cloud SIEM, threat detection, code security) and newer areas including AI-specific monitoring, incident response, and data observability. Datadog charges on a consumption basis: customers pay based on usage volume rather than per-seat licenses, so revenue grows naturally as customers expand their cloud infrastructure and adopt more products. The model is "land and expand" — customers typically start with one or two products and progressively adopt more over time, driving net revenue retention of approximately 120%. Gross revenue retention runs in the mid-to-high 90s, reflecting how deeply embedded Datadog becomes in customer engineering workflows once deployed. Datadog also benefits from the AI boom, as AI-native companies running large cloud inference workloads represent a fast-growing customer cohort, and Datadog is adding AI capabilities to its own platform, including an autonomous SRE agent that investigates and resolves incidents without human intervention.