Datadog Python Performance Monitoring | Datadog

Monitor Python Application Performance

Detect, diagnose, and resolve code-level performance issues faster with real-time service maps, synthetic monitors, end-to-end tracing, continuous profiling, and centralized logging all within one platform.

Why Datadog?

End-to-End Distributed Tracing

Set up in minutes, and instantly visualize your traces with full control over ingestion, retention, and costs


Code Hotspots And Method Level Insights

Optimize the most resource consuming lines of production code with our low-overhead Continuous Profiler


Automatic Deployment Tracking

Requests, errors, and latency metrics for every code deploy including out-of-the-box code version comparisons


Superior Granularity & Retention

0-second OOTB high resolution, 1-second availability for critical metrics, 15-month retention, and no roll-up, ever


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, 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

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

Optimize Python Performance

  • Detect the most resource-consuming methods or classes in your Python applications in seconds with a lightweight, next-generation profiler that’s easy-to-use and always-on
  • Determine the root cause of code issues with a breakdown of time spent by method on CPU, garbage collection, lock contention, and I/O; improve CPU utilization, memory allocation, and user latency
  • Surface runtime performance problems such as deadlocked threads, inefficient garbage collection, and memory leaks
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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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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

The Essential Monitoring and Security Platform for the Cloud Age

Datadog brings together end-to-end traces, metrics, and logs to make your applications, infrastructure, and third-party services entirely observable.

Platform Diagram

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