Python Memory Usage | Datadog

Python memory usage

Use Datadog to track and optimize memory usage for your Python applications.

Easily correlated information on your Python memory usage, allocations, and management helps speed up the resolution of disruptions and slow downs in end user experience. Optimize Python memory in context with Datadog tools like APM and the Continuous Profiler.

 

Track Python memory usage in context

Ensure the uptime and performance of your Python applications with unified and customizable performance views.
  • Set alerts to quickly identify memory usage errors and remedy them by manually allocating or releasing memory
  • Rapidly analyze Python memory issues by correlating runtime metrics, garbage collection logs, and code profiles
  • Visualize and investigate Python memory usage metrics alongside performance data from all of your systems in one place
Track Python memory usage in context.

Optimize Python performance with Datadog APM

Understand your Python memory usage with end-to-end distributed tracing and APM.
  • Monitor Python memory usage and other performance metrics through code deployments and evaluate them over time
  • Pinpoint bottlenecks and errors in your Python applications by tracing requests across distributed systems
  • Use the Datadog Continuous Profiler to inspect methods, classes, and threads related to Python memory usage issues
Optimize Python memory usage and other performance metrics with Datadog APM.

Monitor Python memory usage with the Continuous Profiler

Use always on profiling for each line of your Python code to evaluate service performance and user experience in real time.
  • Speed up MTTR by automatically identifying Python memory usage issues like inefficient garbage collection or memory leaks
  • Accelerate the root cause analysis of slow requests with a breakdown of time spent by method on garbage collection, synchronization, and I/O
  • Seamlessly aggregate memory usage profiles across hosts, services, and code versions
Python memory usage can be monitored with the Continuous Profiler.

The Essential Monitoring and Security Platform for the Cloud Age

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

platform_diagram_lpg
platform_diagram_lpg

Next-generation Python memory usage monitoring

Track and analyze Python application performance in context.

watchdog-apm-illustration.png

Datadog Watchdog

Auto-detect Python performance issues without manual alert configuration.

tracesearch-apm-illustrationv2.png

App Analytics

Find, filter, and analyze Python stack traces with a few clicks.

servicemap-apm-illustration.png

Service Map

Monitor Python application interdependencies in real time.

Loved & Trusted by Thousands

Washington Post logo 21st Century Fox Home Entertainment logo Peloton logo Samsung logo Comcast logo Nginx logo