Datadog

Datadog is a SaaS-based monitoring and analytics platform designed for cloud-scale applications. It collects metrics, traces, and logs from applications, infrastructure, and third-party services, and presents data through dashboards, alerts, and analytics to support observability across complex environments.

The platform collects data via a lightweight agent installed on hosts or containers and supports a wide range of integrations with cloud providers (such as AWS, Azure, and Google Cloud), container orchestration systems (including Kubernetes and Docker), and numerous services. Datadog offers modules for Infrastructure Monitoring, Application Performance Monitoring (APM), Logs, Synthetics (synthetic monitoring), Network Performance Monitoring, Security Monitoring, and Incident Management, among others. Features include real-time visualization, customizable dashboards, alerting with thresholding and anomaly detection, and machine learning-driven insights.

Datadog was founded in 2010 by Olivier Pomel and Alexis Lê-Quôc in New York City. The company launched its platform to provide unified observability across cloud environments and went public in 2019 on the Nasdaq under the ticker DDOG. It operates as a commercial SaaS with usage-based pricing and a broad ecosystem of integrations, making it a widely adopted tool for software development, IT operations, DevOps, and site reliability engineering teams.

Use cases for Datadog include monitoring cloud infrastructure and microservices, tracing performance issues in applications, detecting anomalies, optimizing capacity and resource usage, and supporting incident response and security monitoring.