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Real-Time Application Performance Monitoring

Detect, diagnose, and resolve issues impacting end users in seconds. Follow requests from RUM sessions to services, serverless functions, and databases. Start your trial today, install the agent, and we’ll send you a free Datadog t-shirt!

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Why Datadog?

End-to-End Distributed Tracing

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

Code Hotspots And Thread Level Insights

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

Automatic Deployment Tracking

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

Superior Granularity & Retention

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

750+ Turn-Key Integrations, Including

Product Benefits

Simplify Complexity with End-to-End Monitoring

  • Monitor all aspects of your application architecture from the user interaction to back-end storage - in a single platform
  • Easily identify bottlenecks, errors, heavy traffic issues, slow-running queries, and more with end-to-end application tracing, latency breakdowns, continuous profiling, and real user monitoring
  • Automatically collect, monitor, and visualize high-granularity data and custom metrics in real time, including availability, response times, reliability, error rates, and throughput

Resolve Application Performance Issues Faster

  • Identify critical issues quickly with real-time service maps, AI-powered synthetic monitors, and alerts on latency, exceptions, code-level errors, and more
  • View logs and traces in context with automatic trace_id injection
  • Test hypotheses in seconds by overlaying application events onto time-synchronized metric graphs

Easily Optimize Code-Level Performance

  • 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

Automatically Catch Issues Before They Escalate

  • 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

Receive Alerts Only for the Issues that Matter and Eliminate False-Positives

  • 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

Spend Less Time Scaling and Maintaining Your Tools

  • 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

Live Visibility, Complete Control

  • Search and Analyze your ingested traces live over the last 15 minutes
  • Retain errors and high latency traces automatically for 15 days
  • Control cost-visibility tradeoffs with fine-grained ingestion controls and tag-based retention filters
  • Seamlessly correlate distributed traces with metrics, logs, browser sessions, code profiles, synthetics, and network performance data

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