Infrastructure Monitoring | Datadog
Modern Infrastructure Monitoring

Datadog’s SaaS-based infrastructure monitoring provides metrics, visualizations, and alerting to ensure your engineering teams can maintain and optimize your cloud or hybrid environments. With extensive coverage of popular technologies, a simple deployment process that requires little maintenance, and an easy-to-use interface, Datadog helps teams communicate and troubleshoot more effectively.

Complete coverage of any stack

  • Deploy everywhere—including on-premise, hybrid, IoT, and multi-cloud environments
  • Access vendor-backed integrations for Kubernetes, serverless platforms, and over 450 other popular technologies
  • Slice-and-dice complex infrastructure easily with tag-based search and analytics
Complete coverage of any stack

Monitoring that’s simple to deploy and effortless to manage

  • Deploy and start monitoring without any need for professional services or extensive training
  • Promote adoption across your organization with our intuitive user interface that requires no query language and can be used by anyone
  • Reduce alert fatigue with machine learning–based tools that automatically surface issues from the noise

Deep visibility into infrastructure performance

  • Track tens of thousands of infrastructure metrics out-of-the-box
  • Enable root cause analysis and postmortems with 15 months of metric retention and no roll-ups
  • See continuous historical records, even on infrastructure that doesn’t exist anymore
Deep visibility into infrastructure performance

Unified platform for faster troubleshooting

  • Generate metrics from logs, processes, or application traces for system-wide visualization and alerting
  • Troubleshoot more quickly with one-click correlation of related metrics, traces, and logs from across the stack
  • Unify development, security, network, and operations in a single platform to cut down finger-pointing and miscommunication

Advanced collection capabilities

  • Access globally accurate percentiles with Distribution metrics, like p99 latency across a distributed service
  • Track the impact of every process running in the stack with Live Process monitoring
  • Incorporate business-level custom metrics like revenue or customer behavior with DogStatsD or via the API
Advanced collection capabilities