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Monitor Your Entire Microservices Architecture

Monitor all aspects of your microservices architecture and improve performance with full-stack monitoring from Datadog. Start your trial today, create a dashboard, and we’ll send you a free Datadog t-shirt!

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350+ Turn-Key Integrations, Including

Product Benefits

Simplify Complexity with End-to-End Visibility

  • Monitor all aspects of your microservices architecture from the user interaction to back-end storage - in a single platform
  • Easily identify bottlenecks, errors, heavy traffic issues, slow-running queries, and more with end-to-end application tracing, latency breakdowns, stack traces, and flame graphs highlighting errored requests
  • Automatically collect, monitor, and visualize high-granularity data and custom metrics in real time, including availability, response times, reliability, error rates, and throughput

Troubleshoot Application Performance Issues Faster

  • Identify critical issues quickly with real-time service maps, AI-powered synthetic monitors, and alerts on latency, exceptions, code-level errors, log issues, and more
  • Resolve detected problems faster with distributed request traces, logs, and infrastructure metrics all within one platform
  • Test hypotheses in seconds by overlaying application events onto time-synchronized metric graphs


Efficiently Investigate and Manage Your Logs

  • Easily manage your logs with an intuitive, centralized logging platform
  • Discover log patterns and errors rapidly without the need to investigate and read every individual log file
  • Analyze all your logs without the need to learn or use a query language
  • Correlate request logs with traces automatically and easily isolate all your logs from a single request
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Monitor Your Containerized Environment More Effectively

  • Automatically collect, monitor, and visualize high-granularity metrics from all your containers at 15s. granularity for 15 months
  • Analyze the health of all your containers by pod, namespace, and node distributed across any cloud environment
  • Gain visibility into container orchestration and easily manage Kubernetes pods over or under-allocating available resources via the real-time live container view and auto-generated container map
  • Optimize horizontal auto-scaling by connecting Datadog to your HPA and collecting request rate, latency, and available network bandwidth

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Start Monitoring Proactively and Ensure Optimal Performance

  • Proactively prevent outages and errors by alerting on metric forecasts or specific data point thresholds
  • Set up alerts for anomalies and outliers that account for daily, weekly, and seasonal fluctuations
  • Automatically detect unanticipated outliers, anomalies, and errors with Watchdog
  • Track all key service-level indicator metrics in real time, including availability, response times, reliability, error rates, and throughput

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