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Optimize Python Application Performance

Detect, diagnose, and resolve code-level performance issues faster with real-time service maps, synthetic monitors, end-to-end tracing, and centralized logging all within one platform. 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 application 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 Python App 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 Python 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 Python 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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Receive Alerts Only for the Issues That Matter & Eliminate False-Positives

  • Set up alerts for anomalies and outliers that account for daily, weekly, and seasonal fluctuations
  • Proactively prevent outages and errors by alerting on metric forecasts
  • Create composite alerts, based on boolean logic, to reduce your time spent responding to spurious alerts
  • Automatically detect unanticipated outliers, anomalies, and errors with Watchdog

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Spend Less Time Scaling and Maintaining Your Tools

  • Save time scaling and maintaining your open source tools as complexity grows within your stack
  • Automatically instrument your applications for popular Python frameworks such as Django, Pyramid, Flask, and Tornado
  • Efficiently analyze issues from any perspective with automated tagging integrated throughout the entire platform

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