Datadog's Continuous Profiler | Datadog

Rapidly Optimize Code Performance in Production

Analyze code performance in production, at any scale, all the time, with minimal overhead. Start your trial today, build a dashboard, and we’ll send you a free Datadog t-shirt!

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Why Datadog?

No Custom Query Language Required

Optimize resource consumption and save on cloud costs by tying spikes in CPU utilization or memory usage with inefficiencies in your code.

Enterprise Scale & Reliability

Reduce application latency and improve the user experience by correlating the latency of every request, service, or host with related code profiles such as wall time, lock, and I/O.

600+ Vendor-Backed Integrations

Datadog offers wide coverage across any technology, with support provided by Datadog.

Out-Of-The-Box Dashboards

Take advantage of Datadog’s ease of use; gain code profiling insights with out-of-the-box dashboards and automated code analysis.

Product Benefits

Get Complete Visibility into Code-Level 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

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