Datadog APM integrates seamlessly with logs, real user monitoring (RUM), synthetic monitoring, and more: View your application logs side-by-side with traces to find logs for specific requests, services, or versions.

Set up Application Performance Monitoring (APM) to identify bottlenecks, troubleshoot issues, and send traces to Datadog.

June 15, 2020 - 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 ...

This guide assumes that you have configured Database Monitoring and are using APM. Connecting APM and DBM injects APM trace identifiers into DBM data collection, which allows correlation of these two data sources.

Reference list of all APM metrics sent by the Datadog Agent for monitoring trace processing and Agent performance.

Application instrumentationInstrumentation is the process of adding code to your application to capture and report observability data to Datadog, such as traces, metrics, and logs.Glossary with Datadog APM involves:

This page describes how to set up and configure Application Performance Monitoring (APM) for your Kubernetes application. You can send traces over Unix Domain Socket (UDS), TCP (IP:Port), or Kubernetes service. Datadog recommends that you use ...

Your service, and the endpoint your test is running on, is traced on the APM side. Your service uses an HTTP server. Your HTTP server is using a library that supports distributed tracing. Create a test that hits your traced HTTP server, and Datadog automatically links the trace generated by your server to the corresponding test result.

February 17, 2026 - In the Datadog UI, navigate to APM > Traces. You should see traces appearing within a minute or two.

June 12, 2023 - With native, end-to-end tracing now available for AWS Lambda through Datadog APM, you can get deep visibility into all your serverless functions, without adding any latency to your applications. Correlating traces with metrics and logs gives you the context you need to optimize application performance and troubleshoot complex production issues.

Read about detecting trace collection CPU usage and about calculating adequate resource limits for the Agent in Agent Resource Usage. Within Datadog Agent logs, if you see error messages about rate limits or max events per second, you can change these limits by following these instructions. If you have questions, before you change the limits, consult with the Datadog support team. This section covers approaches for addressing security concerns in APM, including protecting sensitive data and managing traffic.

Monitor service health and performance with Application Performance Management (APM). Explore traces to understand requests and interactions between services. Track key metrics to understand trends that impact system behavior and user experience.

February 12, 2026 - Datadog APM is a powerful observability solution — and a top choice for distributed tracing. But as your system scales, so do two critical challenges: gaps in visibility and unexpected costs tied to Datadog pricing and billing models.

These metrics capture request counts, error counts, and latency measures. They are calculated based on 100% of the application’s traffic, regardless of any trace ingestion sampling configuration. By default, these metrics are calculated in the Datadog Agent based on the traces sent from an instrumented application to the Agent.

dd-trace-java contains APIs to automatically or manually trace and profile Java applications. These features power Distributed Tracing with Automatic Instrumentation, Continuous Profiling, Error Tracking, Continuous Integration Visibility, ...

Open the datadog.yaml configuration file. Remove the core_agent and error_tracking_standalone attributes: - core_agent: - enabled: false apm_config: + enabled: true - error_tracking_standalone: - enabled: true

Datadog Application Performance Monitoring (APM) is a powerful tool that enables distributed tracing for modern applications that provides end-to-end visibility into system performance.

When you install or update the ... SDK into supported processes. This enables distributed tracing by capturing and sending trace data from your services without requiring code changes....

Datadog Application Performance Monitoring (APM): Trace requests as they flow across web servers, databases, and microservices so that developers have great visibility into bottlenecks and troublesome requests.

Datadog APM allows you to create dashboards based on your business priorities and metrics important to you: You can create widgets on these dashboards to keep track of any traditional infrastructure, logs and custom metrics like host memory usage alongside critical APM metrics based on throughput, latency, and error rate for correlation.