Continuous Profiler

Within five minutes of setup, Continuous Profiler detected substantial reflection in a critical service. It enabled us to swiftly identify and remove this from the codebase, boosting message throughput by 40%.

Mike Clark

Staff Engineer at Olo

We run Datadog Continuous Profiler on every service in our testing and production environment, which gives us the insight we need to reduce the time it takes to diagnose issues and fix performance bottlenecks.

Ian Schell

Site Reliability Architect at Cvent

Datadog Continuous Profiler gives us unparalleled visibility into resource allocations in production with low overhead, and has become a crucial tool for optimizing CPU and memory performance at Faire.

Raymond Barkhouse

Staff Developer - Platform at Faire

Feature Overview

Datadog Continuous Profiler analyzes the performance of your entire code base, in any environment, all the time and with negligible overhead. Quickly identify and optimize the slowest and most resource-intensive services, endpoints, and lines of code to resolve issues faster, reduce application latency, and lower cloud costs.

Rapidly resolve production code issues without reproduction

Never miss production issues originating from your code by continuously profiling every line across all hosts and containers
Enable engineers of all levels to swiftly spot and resolve problems using Watchdog AI’s insights and suggested fixes
Pinpoint methods and code lines that are inefficient under production load, despite having performed well in pre-production environments

Reduce latency with code and thread level visibility into traces

Find the root cause of slow requests by correlating spans with profiling data
Gain thread-level visibility into your requests to investigate parallelization, deadlocks, inefficient garbage collection, locks, and more.
Determine exactly what your slow methods are spending time on — CPU, locks, I/O, garbage collection, and more

Track every deploy and eliminate performance regressions

Create custom dashboards to effectively track and analyze long-term, code-level metrics and detect performance variations in production
Compare code behavior and impact across hosts, versions, and time-ranges during canary, blue/green, or shadow deploys
Isolate the most inefficient functions to quickly troubleshoot faulty deployments and decide whether to roll back or ship a fix

Lower cloud cost with code optimizations and downsizing recommendations

Track CPU and memory consumption per service to understand its impact on your cloud provider’s bill, and compare changes over time
Identify your most expensive lines of code per endpoint across all your services with profiling aggregation data
Lower your cloud bill using Profiler-powered downsizing recommendations and performance impact forecasts in Datadog Cloud Cost Management