Automated Root Cause Analysis

Identify the root cause of incidents in your infrastructure and applications before they impact your users with Datadog's machine learning algorithms.

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Resolve Issues Quickly with AIOps

Discover the root cause of critical failures—from a code version change to low disk space—with no manual investigation
Reveal causal relationships between issues in your environment with automatic analysis of full-stack telemetry data
Expedite the resolution process with additional context, such as relevant metrics, stack traces, and log patterns

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Get More Accurate Answers with Richer Data

Pinpoint root causes based on billions of metrics, events, and dependencies analyzed live and over time across your stack
Speed up troubleshooting by automatically detecting a failed instance that is causing its dependent services to fail
Quickly identify services and resources that are creating increased trafffic and latency while over-querying a shared Database

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Minimize the Impact of UX Issues

Identify the exact users who are experiencing an error in order to quickly assess its scope
Easily prioritize your remediation efforts with automated insight into an issue's impact on frontend views and backend services
Use Impact Analysis data to establish best practices for incident response

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Enhance Observability with Watchdog by Your Side

Gain instant value from anywhere in the Datadog platform with no additional setup or configuration
Leverage Watchdog’s capabilities to set up customized anomaly, outlier, and forecast alerts for any type of telemetry
Access precise answers based on Watchdog's analysis of your entire environment, including data from 900+ integrations

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Three Pillars of Observability in One Platform

Seamlessly unites metrics, traces, and logs
Aggregate metrics and events from 900+ technologies
Search, analyze, and explore enriched log data
Trace requests across distributed systems and alert on app performance
Easily pivot between correlated data for rapid troubleshooting

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