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- Distributed Tracing
- Enterprise
- Incident Management
- Incident Response
- Infrastructure Monitoring
- Kubernetes
- Log Management
- Microservices
- Monitoring
- Multicloud
- Networking
- Observability
- Orchestration
- Performance Monitoring
- Public Cloud
- Serverless
- Services
- Site Reliability Engineering
- Software-as-a-Service
- Storage
- Telemetry
- Visibility
3 Datadog appears across 3 articles in the last 90 days, most recently in SecurityHQ research finds AI agent accountability gaps (Oct 2026).
Who is Datadog?
Datadog is a SaaS-based observability and security platform for cloud-scale applications, providing monitoring, logging, and analytics across infrastructure, applications, and services.
- Cloud-based observability platform combining infrastructure monitoring, application performance monitoring (APM), and log management (observability)
- Monitoring and analytics for cloud-native and hybrid environments across servers, containers, managed services, and serverless platforms (cloud operations)
- Security monitoring, Cloud Security Posture Management (CSPM), and application security features integrated with observability data (security operations)
- Real-time dashboards, alerts, and collaboration tooling for DevOps, Site Reliability Engineering (SRE), security, and IT operations teams (DevOps enablement)
- Integrations with public cloud providers, orchestration platforms, and third-party services for data ingestion and correlation (integration and ecosystem)
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More About Datadog
Datadog provides an integrated observability and security platform designed for enterprises running workloads on public cloud, hybrid, and multi-cloud environments. Its services aggregate metrics, traces, logs, and other telemetry from infrastructure, applications, and third-party services into a unified Software-as-a-Service (SaaS) environment. Enterprises use Datadog to monitor the health, performance, and security posture of distributed systems, including microservices architectures, containerized environments, and serverless applications.
The platform’s core capabilities are commonly categorized as infrastructure monitoring (observability), application performance monitoring (APM observability), log management and analytics (log management), and user experience monitoring through synthetics and real user monitoring (RUM observability). Datadog also offers security-focused products, including CSPM, security monitoring, and application security (security operations), which ingest and correlate data from the same telemetry sources as its observability tooling. This shared data model allows operational and security teams to work from a common view of systems and events.
From an architectural perspective, Datadog typically relies on lightweight agents deployed on hosts or containers, as well as integrations and APIs that pull metrics and events from cloud services, databases, message queues, and other managed components. The platform supports collection of metrics and traces via common telemetry protocols and SDKs, and aligns with practices used in modern DevOps and SRE frameworks, such as distributed tracing, service-level objectives (SLOs), and alerting based on metric thresholds and anomaly detection. Datadog integrates with major cloud providers and orchestrators, including services for compute, storage, networking, and managed databases.
In enterprise environments, Datadog is often positioned as a central observability and security layer that sits across multiple application teams and business units. IT operations teams use it for infrastructure and capacity monitoring; development and SRE teams use it for application performance analysis, distributed tracing, and incident response; and security teams use it for detection, investigation, and posture assessment in cloud environments. The platform’s dashboards, alerting rules, and collaboration features connect to existing workflows, including incident management and ticketing tools commonly used in large organizations.
Within an enterprise technology directory, Datadog maps to categories such as observability platforms, infrastructure and application monitoring, log management and analytics, cloud and container monitoring, and cloud Security Operations (SecOps). Its product families align with cross-cutting needs in cloud-native operations, including visibility into Kubernetes clusters, managed cloud services, serverless functions, and network flows, as well as monitoring of digital experience through synthetic tests and real user monitoring. The combined observability and security capabilities position Datadog as a multi-domain telemetry and analytics layer for modern application stacks.
Our description of Datadog. Updated December 2025.
