Datadog Monitoring Platform

Datadog is a cloud monitoring and analytics platform founded by Olivier Pomel and Alexis Le-Quoc in 2010, headquartered in New York, providing unified observability across infrastructure, applications, logs, traces, metrics, and user experience through a single SaaS platform, with over eight hundred integrations covering cloud providers, databases, message queues, containers, web servers, and application frameworks, enabling full-stack visibility from infrastructure metrics to user-facing performance, adopted by over twenty-eight thousand customers including Samsung, Peloton, Whole Foods, 21st Century Fox, and Airbnb for their observability needs. The infrastructure monitoring provides automatic discovery and metric collection from cloud resources including virtual machines, containers, Kubernetes pods, serverless functions, databases, and cloud provider services through the Datadog Agent, with out-of-the-box dashboards for common technologies including AWS, Google Cloud, Azure, Kubernetes, Docker, PostgreSQL, MySQL, Redis, and Kafka, and custom dashboards built through a drag-and-drop interface with over two hundred visualization widgets. The application performance monitoring provides distributed tracing across microservices through OpenTelemetry-compatible instrumentation, with flame graphs showing request latency breakdown, service maps visualizing dependencies, trace analytics for filtering and searching traces, and continuous profiling for CPU, memory, and lock contention analysis, enabling root cause analysis of performance bottlenecks. The log management provides ingestion, indexing, search, and analytics through a streaming pipeline with pattern detection, outlier detection, and watch folders. The synthetic monitoring tests availability from global locations. The real user monitoring for frontend performance. The error tracking. Designed for operations and engineering teams.