A Unified Platform Engineered for Cloud Observability

Datadog is an integrated SaaS platform for monitoring the entire lifecycle of your application and infrastructure performance. It breaks down silos between development, operations, and security teams by correlating telemetry data across your entire stack—from code deployment to the end-user experience—allowing teams to identify, prioritize, and resolve issues faster.

Strategic Consistency Across Hybrid Cloud: Provide a unified and reliable monitoring environment spanning on-premises data centers, public clouds, and the edge, streamlining operations and management with over 600 vendor-backed integrations.

Accelerated Incident Response & MTTR: Automatically correlate performance metrics, code traces, and logs in one dashboard to drastically reduce Mean Time To Resolution (MTTR) during critical incidents.

Proactive User Experience Assurance: Ensure a flawless digital experience by monitoring real user sessions and running automated synthetic tests from a global network of locations to catch issues before customers do.

Integrated Security & Compliance: Unify security and operational data to detect threats, monitor configuration drift, and maintain compliance across your cloud workloads from a single pane of glass.

Full Stack Operational Efficiency: Empower all engineering teams—Dev, Ops, and Security—with the same high-fidelity data and context, breaking down silos and accelerating development and troubleshooting workflows.

Built for Performance & Security

The Three Pillars of Observability: Provides a single, integrated platform for Infrastructure Monitoring, Application Performance Monitoring (APM), and Log Management, ensuring end-to-end visibility into the health of every component.

Real User Monitoring (RUM) & Session Replay: Captures and analyzes every customer experience, including page load times, frontend errors, and user journeys, with the ability to replay sessions to understand the exact context of an issue.

Datadog Watchdog & AIOps: Leverages machine learning to automatically detect anomalies, surface application and infrastructure issues, and provide intelligent alerts, cutting through monitoring noise and enabling proactive resolution.

Database Monitoring (DBM): Extends observability deep into the data layer, monitoring query performance, resource utilization, and database health for popular platforms like PostgreSQL, MySQL, and cloud-hosted versions.

Cloud Security Posture Management (CSPM): Continuously monitors and audits cloud configurations against compliance frameworks (like CIS Benchmarks, PCI DSS, etc.) to prevent security risks and configuration drift.

Cloud Cost Management (CCM): Correlates cloud spend directly with performance and usage metrics, allowing engineering teams to identify wasteful resources and optimize infrastructure cost-efficiency.