Datadog Application Performance Monitoring

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

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

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
Eliminate inefficiencies caused by context switching with a consolidated platform for monitoring, paging, and resolving incidents

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

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

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

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

Expedite debugging of production issues with granular insights into application behavior and service interactions by adding log statements without changing code
Add spans to troubleshoot slow requests and specific operations in your application without leaving the Datadog platform
Create metrics on the fly that measure the time any method in your code is consuming in production, and use metric expressions to focus on specific requests