Datadog Log Management | Datadog

Centralized
Log Collection
and Management

Easily collect and manage logs across your environment, from apps to servers to browsers, and all of the services in-between.

400+ Turn-Key Integrations, Including

Product Features

Logging without Limits™

Send and process every log produced by your applications and infrastructure.
  • Ingest everything and decide what to index dynamically with filters
  • Observe everything in real time with Live Tail, without the need to index
  • Archive everything—all history centrally stored with nothing left behind on servers

Process and enrich raw logs at scale

Develop custom processing pipelines to automatically parse and enrich raw logs to extract the most value from your data across your entire infrastructure.
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Easily manage your logs with an intuitive platform

  • Discover log patterns and errors rapidly without the need to investigate and read every individual log file
  • Create log analytics dashboards in seconds with Datadog’s drag-and-drop capabilities
  • Analyze all your logs without the need to learn or use a query language
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Receive smarter alerts powered by machine learning

  • Automatically detect unanticipated outliers, anomalies, and log errors
  • Set up alerts for anomalies and outliers that account for daily, weekly, or seasonal fluctuations
  • Create composite alerts, based on boolean logic, to reduce your time spent responding to spurious alerts
  • Add context to your alerts and notify team members through Slack, PagerDuty, and other tools
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Rehydrate archived logs into indexes

  • Quickly access old logs (from a few weeks or a few months ago) that become extremely valuable for audits
  • Decrease the retention period per log index, which will reduce costs
  • Retain fewer logs within your platform, which further reduces costs
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Three pillars of observability in one platform

  • Seamlessly unites metrics, traces, and logs
  • Aggregate metrics and events from 400+ technologies
  • Search, analyze, and explore enriched log data
  • Trace requests across distributed systems and alert on app performance
  • Seamlessly pivot between correlated data for rapid troubleshooting
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