Python Continuous Profiler

Rapidly Optimize Python Performance with Continuous Profiling

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. Start your trial today, build a dashboard, and we’ll send you a free Datadog t-shirt!

Due to unforeseen shipping charges to the recipient we are no longer able to send t-shirts to India. Full rules and eligible countries here.

Product Benefits

Get Complete Visibility into Python Performance

Analyze 100% of your code in production including methods, classes, and threads across your entire stack
Seamlessly pivot between profiles and distributed traces with 1-click to get full context and identify the most resource-intensive requests
Get deeper insights into exceptions, garbage collection, I/O, locks, and packages with continuous observability and category breakdowns such as code cache, class loading, and heap size

Spend Less Time Troubleshooting

Rapidly analyze call stacks by any key attribute such as method, thread, and package with a point-and-click interface
Speed up MTTD and MTRR; search profiles using simple tags and facets – no complex queries
Pinpoint CPU, memory, and latency bottlenecks in seconds and break profiles down by method, class, or line number

Easily Optimize Both Legacy and Cloud Applications

Better maintain legacy and cloud apps with full visibility into code-level performance in dev, staging, and production environments
Get actionable insights; easily identify and address performance issues such as blocked threads, inefficient garbage collection, and memory leaks with an automatic heuristic analysis and a summary of the main problem areas in your code
Avoid outages or minimize their impact with machine-learning-based alerts for instant anomaly or outlier detection

Reduce Cloud Provider Costs

Easily identify the most resource-consuming methods or classes in your application and improve cpu utilization, memory allocation, and user latency
Discover underutilized cloud servers and on-premise servers via the real-time, auto-generated host map
Reduce excess capacity based on high-granularity historical data to save on operational costs

Rapidly Optimize Python Performance with Continuous Profiling

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. Start your trial today, build a dashboard, and we’ll send you a free Datadog t-shirt!

Product Benefits

Get Complete Visibility into Python Performance

Spend Less Time Troubleshooting

Easily Optimize Both Legacy and Cloud Applications

Reduce Cloud Provider Costs

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