Datadog Python Troubleshooting | Datadog

Troubleshoot Python Application Performance Faster

Resolve Python issues faster with distributed tracing, centralized logging, and high-granularity metrics all within 1 platform. Start your trial today, build a dashboard, and we’ll send you a free Datadog t-shirt!

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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

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