Datadog APM | Datadog

Set up in minutes, and instantly visualize your traces with full control over ingestion, retention, and costs

Optimize the most resource consuming lines of production code with our low-overhead Continuous Profiler

Requests, errors, and latency metrics for every code deploy including out-of-the-box code version comparisons

0-second OOTB high resolution, 1-second availability for critical metrics, 15-month retention, and no roll-up, ever

Live Visibility, Complete Control

Resolve active incidents faster with real-time querying of all traces in-memory over the last 15 minutes
Track performance trends over time using any trace attribute and make data-driven decisions across infinite cardinality to continuously improve application performance
No sampling -- control cost-visibility tradeoffs with fine-grained ingestion controls and tag-based retention filters

Pinpoint root causes across the full stack with automatic correlation of logs, infrastructure metrics, database queries, network calls, and frontend telemetry—all in one view
Identify critical issues quickly with real-time service maps, AI-powered synthetic monitors, and AI-powered alerts on latency, exceptions, code-level errors, and more
Trace requests across microservices with Insights powered by Watchdog to quickly uncover the root causes of performance problems, facilitating faster incident resolution

Release code safely and more efficiently with automatic deployment tracking
Ensure that a hotfix actually solves the problem it is trying to fix
Adopt canary, blue/green, shadow, or any other deployment strategies with confidence
Easily analyze the state of production after individual deployments over time to identify regressions and automate rollbacks

Detect the most resource-consuming code lines, methods, and classes in your 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 activity and performance problems such as deadlocked threads, inefficient garbage collection, and memory leaks

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

Deploy APM in seconds on hosts, containers, serverless functions, and PaaS with effortless auto-instrumentation
Utilize hundreds of integrations with third-party frameworks or libraries for unparalleled visibility into Java, .NET, PHP, Node.js, Ruby, Python, Go, or C++ applications
Access flexible support for vendor-neutral standards such as OpenTelemetry and OpenTracing