Datadog Python Performance Metrics | Datadog
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Visualize, Monitor, and Alert on Python Performance Metrics

Visualize Python performance metrics in real time with customizable dashboards, end-to-end flame graphs, and the live service map. Start your trial today, build a dashboard, and we’ll send you a free Datadog t-shirt!

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Product Benefits

Create Custom, Drag-And-Drop Dashboards Within Seconds

  • Get started monitoring all your apps, tools, and services in minutes with out-of-the-box, templated dashboards for all of Datadog’s 800+ vendor-backed integrations
  • Visualize python performance metrics in real time and easily pull in custom metrics via API or a StatsD handler
  • View application traces, code profiles, browser sessions, logs, and infrastructure metrics all within a single pane of glass
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Enhance Visibility into Your Distributed Architecture

  • Gain critical visibility into the current state of all your services, serverless functions and application interdependencies with the real-time service map
  • Investigate service disruptions easily by isolating your view of a single service with one click
  • Efficiently monitor and visualize the health of all your services with customizable alerts for both code-level and service-level performance issues

Receive Alerts Only for the Issues that Matter and Eliminate False-Positives

  • Set up recommended alerts with 1 click for anomalies and outliers that account for daily, weekly, and seasonal fluctuations
  • Proactively prevent outages and errors in the future by alerting on metric forecasts
  • Combine alerts into composite alerts for greater granularity and stronger signal to reduce the noise
  • Automatically detect unanticipated outliers, anomalies, and errors with Watchdog
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Simplify Complexity with End-to-End Monitoring

  • 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, continuous profiling, and real user monitoring
  • Automatically collect, monitor, and visualize high-granularity data and custom metrics in real time, including availability, response times, reliability, error rates, and throughput

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