Datadog Log Management

Datadog Log Management is a modern, high-throughput cloud-scale log ingestion, processing, and analytics platform designed to collect, parse, and analyze logs across hybrid cloud infrastructures, applications, and security devices with complete cost control. Powered by Datadog’s Logging without Limits technology, it decouples log ingestion from indexing, allowing organizations to collect all logs while indexing only what is needed.

The platform ingests logs via the Datadog Agent, cloud-native forwarders (AWS CloudWatch, Azure Event Hub, GCP Pub/Sub), syslog endpoints, and REST APIs. Core technical capabilities include automated log parsing and enrichment, real-time log stream processing with automated pattern clustering, Live Tail log streaming, long-term archiving to customer cloud storage buckets (Amazon S3, Azure Blob, Google Cloud Storage), and on-demand Log Rehydration that retrieves historical logs for compliance audits without full-time indexing fees.

Enterprises, technology corporations, and security operations centers deploy Datadog Log Management to eliminate log management silos, accelerate troubleshooting, and maintain continuous regulatory compliance. It integrates seamlessly with Datadog APM, Infrastructure Monitoring, and Cloud SIEM. Common operational use cases include investigating application error logs correlated with APM traces, monitoring perimeter firewall and cloud audit logs for security anomalies, retaining cost-effective compliance archives for years, and providing developers with instant log visibility during production deployments.