Datadog is a cloud monitoring and analytics platform for IT infrastructure, applications, logs, and real user (browser) experiences. It provides observability across metrics, traces, and logs, enabling teams to visualize performance, detect anomalies, and troubleshoot issues in microservices and distributed systems. Features include full‑stack APM, synthetic monitoring, log management, integrations with cloud providers, customizable dashboards, alerting, and incident management. Datadog supports containerized environments (Docker, Kubernetes), serverless, and IoT, making it popular among DevOps, engineering, and reliability teams.

Datadog is partially accessible in China. The US‑based API endpoints and dashboard (app.datadoghq.com) suffer from high latency, intermittent DNS resolution issues, and sometimes outright blockage when accessed from China. Consequently, metrics and trace ingestion from China‑based servers may fail, and dashboard access becomes unreliable for local teams. This impairs monitoring coverage and incident response. To mitigate this, some organizations deploy DataDog agents that buffer data locally or use VPN‑like circumvention tools, though this introduces complexity. Alternatively, Chinese observability solutions such as Tencent Cloud SLS, Alibaba Cloud ARMS, or Huawei ModelArts are commonly adopted, offering stable telemetry pipelines, visual dashboards, and alerting optimized for domestic networks and compliance standards.

The information regarding service availability in China is provided for general reference purposes only. Due to the dynamic nature of network conditions and regulatory environments, the actual accessibility of these services may vary over time and by location. Users are advised to verify the current status independently.