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Datadog Logs

Datadog Logs is a cloud-based log management and analytics service that collects, processes, and visualizes log data from applications, infrastructure, and services. It enables developers and operations teams to centralize logs, perform real-time searches, set up alerts, and gain insights through dashboards and integrations with other Datadog monitoring tools. It supports structured logging, log parsing, and correlation with metrics and traces for comprehensive observability.

Also known as: Datadog Log Management, Datadog Logging, DD Logs, Datadog Log Analytics, Datadog Log Collection
🧊Why learn Datadog Logs?

Developers should use Datadog Logs when building or maintaining distributed systems, microservices, or cloud-native applications that require centralized log aggregation for debugging, troubleshooting, and compliance. It is particularly valuable in DevOps and SRE contexts for monitoring application performance, detecting anomalies, and investigating incidents by correlating logs with metrics and traces, reducing mean time to resolution (MTTR).

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