Application Performance Monitoring (APM)

Within the first 30 to 45 days, we were able to quickly identify the top five endpoints that had performance issues and reduce response times by 80 to 90%.

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

When debugging performance problems across billions of emails and push notifications, we need access to all live tracing data. Datadog's tracing tools have been invaluable for troubleshooting.

ZACH MCCORMICK

ENGINEERING MANAGER, BRAZE

Feature Overview

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, improve application performance, optimize resource consumption, and collaborate more effectively to deliver the best user experience possible.

Pinpoint the source of issues with thread-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, code line, and thread
Resolve incidents faster and understand their impact across services and databases by querying trace data with relational operators
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 Software Catalog

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

Track breaking changes impacting your services in real-time

Easily correlate application performance issues with code deployments, feature flags, configuration changes, and DB modifications
Quickly pinpoint the impact of each release by comparing error, latency, infrastructure, and code profiling metrics across versions—before, during, and after deployment
Fix faulty deployments with automatic detection by Watchdog AI and easy access to on-call resources and auto-rollback workflows
Prioritize new and ongoing issues with Error Tracking, which reduces noise by intelligently grouping errors into issues across your services

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 of anomalies, outliers, and future performance degredations with automatic and customizable ML-based alerts
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

Fast, flexible ingestion for full-stack visibility

Expedite time to observability by setting up distributed tracing directly via the Datadog Agent—without code changes or restarts
Balance visibility and costs with fine-grained sampling controls at the host, service, and endpoint level—remotely from the Datadog UI
Adopt open standards without trade-offs, with full support for both native and hybrid OpenTelemetry setups
Auto-instrument your serverless functions with next-gen extensions for AWS Lambda, Azure App Service, and more

Reduce security risk with open source vulnerability detection in production

2024 GARTNER® MAGIC QUADRANT™

Datadog has been recognized as a Leader in the Gartner Magic Quadrant™ for Observability Platforms

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Resources

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Datadog Distributed Tracing: live-query all ingested traces, retain only the ones you need

VIDEO

Learn how Forbes reduces cloud costs, meets SLAs, and provides a great user experience with Datadog APM

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Unify visibility into changes to your services and dependencies with Datadog Change Tracking

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Achieve total app visibility in minutes with Single Step Instrumentation

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Diagnose runtime and code inefficiencies in production by using Continuous Profiler's timeline view

What's Next

Get started today with a 14-day free-trial of Modern Application Performance Monitoring (APM)

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