Cloud-Scale Log Monitoring

Investigate and monitor log events across your cloud environment in real time with Datadog

Centralized log monitoring in one intuitive platform

Leverage 700+ technology integrations to build custom pipelines that process and enrich logs instantly
Utilize a universal tagging structure to seamlessly navigate from metrics to related logs based on parameters like their host or service
Easily filter, analyze, and monitor logs using automatically applied facets, such as availability zone, role, or HTTP status code

Logging without Limits™ and Log Rehydration™

Ingest every single log from your systems and apps and use dynamic filters to index the ones you want to keep and archive the rest
Create custom metrics from logs and observe events in real time with Live Tail log monitoring
Rehydrate archived logs on-demand (rather than maintaining them in expensive indexes) whenever required for audits or troubleshooting

Alert on and monitor log events in context

Visualize and monitor logs alongside metrics and distributed traces in shareable and real-time dashboards
Automatically surface log patterns, organized by service and status, to identify errors without the need to parse individual log files
Get alerted when you exceed user-defined log monitoring thresholds over a given time period to identify issues like code exception errors or build job notifications

Monitor logs in context with metrics and stack traces

Seamlessly drill down into log event to investigate the root cause of an issue.

Auto-detect performance problems without manual setup or configuration.

Search, filter, and analyze stack traces at infinite cardinality.

Map applications and their supporting architecture in real-time.

Learn best practices for ingesting, indexing, and monitoring logs.

Datadog Logs Documentation

Logging without Limits™ Product Brief

Blog: Best practices for collecting and managing serverless logs with Datadog

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