Application Performance Monitoring (APM)

Datadog Application Performance Monitoring (APM) provides AI-powered code-level distributed tracing from browser and mobile applications to backend services and databases. By seamlessly correlating traces with logs, metrics, real user monitoring (RUM) data, security signals, and other telemetry, Datadog APM enables you to detect and resolve root causes faster, optimize application performance and resource consumption, and collaborate more effectively so that your end users get the best possible experience.

Pinpoint the source of issues with code-level distributed tracing

Identify root causes quickly by correlating traces with logs, infrastructure metrics, database queries, network calls, and frontend telemetry—all in one view
Improve code performance with visibility into the execution time and resource consumption of every method and code line
Resolve active incidents faster with live access to all traces over the last 15 minutes
Track and alert on business-specific KPIs by creating dashboards, monitors, and SLOs from span-based metrics using any tag

An end-to-end distributed trace that it automatically correlated to all relevant telemetry including execution time and resource consumption of every method and code line

Improve service performance with all telemetry in context

Detect the source of service issues rapidly with a centralized view of health metrics and dependencies alongside telemetry from your infrastructure and databases
Proactively improve application reliability by setting up SLOs, monitors, and synthetic tests via the Datadog UI, Terraform provider, and APIs
Remediate incidents efficiently with quick access to service owners, on-call engineers, runbooks, and more in Service Catalog
Secure your cloud applications by identifying threats and code vulnerabilities that are live in production so you can mitigate them before they become breaches

Service Catalog provides a multi-lens view of service performance, ownership, reliability, and security

Track every deployment automatically and ship with confidence

Adopt canary, blue-green, or any other deployment strategy by tracking performance changes before, during, and after the release
Quickly determine if a release is causing high error rates or latency by automatically aggregating health metrics by code version
Resolve performance degradations by comparing the impact of recent versions on infrastructure and code performance
Prioritize new and ongoing issues with Error Tracking, which automatically groups errors into a manageable set of issues

Automatic deployment tracking and comparison of code versions across application, infrastructure, and code profiling metrics

Resolve incidents faster with Watchdog AI

Improve MTTR with automated root cause analysis and minimize the impact on affected services, users, and views
Reduce MTTD with automatic and customizable ML-based alerts to detect anomalies and outliers and predict future changes in performance metrics
Accelerate investigations with error and latency outliers, which are surfaced at query time to help you find the signal in the noise
Minimize downtime and negative impact on end users with automatic faulty deployment detection

Watchdog automated Root Cause Analysis surfaces a faulty deployment and the reason for critical failures that impacted multiple services, views, and users

Ingest data from any source with Datadog and OpenTelemetry

Expedite time to observability by setting up distributed tracing directly via the Datadog Agent—without code changes or restarts
Auto-instrument your services and serverless functions with Datadog’s open source tracing libraries and extensions for AWS Lambda and Azure App Service
Ingest both Datadog and OpenTelemetry data with the same Datadog Agent for full-stack application performance monitoring
Submit traces, metrics, and logs from the Datadog Exporter in the OpenTelemetry Collector

Datadog APM supports multiple setup options including Datadog components, OpenTelemetry components, or a combination thereof

Yony Feng

Cto & Co-founder, Peloton

Datadog’s Traces functionality is a next generation observability tool. It brings contextual information for high-volume services, and connects it to an individual request for analysis and troubleshooting.

ANATOLY MIKHAYLOV

STAFF PERFORMANCE ENGINEER, ZENDESK

The robustness and responsiveness of Datadog Distributed Tracing, as well as the unique way in which traces are visualized, makes it very easy to spot problems quickly and nip them in the bud.

IAN SCHELL

SITE RELIABILITY ARCHITECT, CVENT

Datadog APM enables our developers to see the entire path from our iOS and Android clients all the way down to services they have built.

CHRIS PERAZA

CLOUD ENGINEER, WHATNOT

Our biggest concern as our team grew was time to diagnose issues. APM’s been a real game changer for us in terms of troubleshooting.

PAUL HINZE

DIRECTOR OF INFRASTRUCTURE, HASHICORP

ZACH MCCORMICK

ENGINEERING MANAGER, BRAZE

Customer Testimonials

ANATOLY MIKHAYLOV

STAFF PERFORMANCE ENGINEER, ZENDESK

The robustness and responsiveness of Datadog Distributed Tracing, as well as the unique way in which traces are visualized, makes it very easy to spot problems quickly and nip them in the bud.