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See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Get full visibility into modern applications. Monitor, troubleshoot, and optimize application performance. Trace requests from end to end across distributed systems. Track app performance with auto-generated service overviews.
What is Datadog? Datadog is an observability platform that supports every phase of software development on any stack. The platform consists of many products that help you build, test, monitor, debug, optimize, and secure your software. These products can be used individually or combined into a customized solution.
Datadog Application Performance Monitoring (APM) provides AI-powered code-level distributed tracing from browser and mobile applications to backend services and databases.
Datadog was designed to allow you to monitor your own custom applications and business metrics—not just your infrastructure. You can send any and all of your organization’s important metrics to Datadog for graphing, alerting, correlation, anomaly detection and more.
Datadog’s Real User Monitoring (RUM) gives you end-to-end visibility into the real-time activity and experience of individual users. RUM solves four types of use cases for monitoring web and mobile applications:
Learn the Datadog features and capabilities that are most fundamental to the application developer role, such as working with integrations, configuring your services for APM, synthetic API and browser testing, and RUM.
Docs > Getting Started > Getting Started in Datadog. Try Datadog Foundation in the Learning Center. Learn without cost on real cloud compute capacity and a Datadog trial account. Start these hands-on labs to get up to speed with services, logs, metrics, integrations, and dashboards. ENROLL NOW.
Metrics are numerical values that can track anything about your environment over time, from latency to error rates to user signups. In Datadog, metric data is ingested and stored as data points with a value and timestamp: [ 17.82, 22:11:01 ] A sequence of data points is stored as a timeseries: [ 17.82, 22:11:01 ]
Act on real-time network insights. Use visualizations of network traffic across applications, containers, availability zones, and datacenters to help optimize your migrations. Track key network metrics, such as TCP retransmits, latency, and connection churn.