Modern Application Performance Monitoring (APM) | Datadog
  • Modern Application Performance Monitoring (APM)

    Modern Application Performance Monitoring (APM)

    End-to-end distributed tracing and service-centric observability at scale, correlated to all telemetry.

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    Datadog Application Performance Monitoring (APM) provides end-to-end distributed tracing from browser and mobile apps to databases and individual lines of code. By seamlessly correlating distributed traces with frontend and backend data, Datadog APM enables you to monitor service dependencies and health metrics, reduce latency, and eliminate errors so that your users get the best possible experience.

    2022 GARTNER® MAGIC QUADRANT™

    Datadog has been recognized as a Leader in the Gartner® Magic Quadrant™ for APM and Observability

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    End-to-end application performance monitoring

    • Follow requests from RUM sessions to services, serverless functions, and databases
    • View traces and logs in context with automatic trace_id injection
    • Connect distributed traces to infrastructure metrics, network calls, and live processes
    • Tie synthetic API and browser test failures to backend errors

    Live visibility, complete control

    • Investigate incidents faster with real-time visibility into all ingested traces and service dependencies over the last 15 minutes
    • Resolve issues quicker with ML-based insights that automatically surface error and latency outliers during active investigations
    • Retain only the traces that are most important to your business by setting custom tag-based retention filters
    • Set SLOs, track trends, and monitor KPIs by generating span-based metrics using any set of tags

    Code-level insights, instant root cause analysis

    • Optimize your production code and save on compute costs with always-on, low overhead code profiling
    • Reduce service latency with a break down of slow requests by time spent in code on CPU, GC, lock contention, and I/O
    • Explain performance regressions caused by inefficient code by comparing code profiles using any tag and timeframe
    • Improve application performance by monitoring profile aggregations of services and endpoints and detecting bottlenecks in your code
    Code level monitoring for every application service and individual request

    Track deploys, ship with confidence

    • Monitor and compare impacts of canary, blue-green, and shadow deploys on application performance
    • Pinpoint error and latency outliers with out-of-the-box service dashboards
    • Visualize service dependency changes due to deploys using the Service Map
    Tracking and comparing the impact of code deployments on application performance

    Monitor application performance of any stack, anywhere

    • Deploy application performance monitoring in seconds on hosts, containers, serverless functions, and PaaS, and auto-instrument your application effortlessly
    • Utilize hundreds of integrations with third-party frameworks or libraries for unparalleled visibility into Java, .NET, PHP, Node.js, Ruby, Python, Go, or C++ applications
    • Access flexible support for vendor-neutral standards such as OpenTelemetry and OpenTracing
    Application performance monitoring for any stack with OpenTelemetry support

    Resources

    testimonials/Braze_thumbnail

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    Braze

    Delivering reliability at scale with APM and performance SLOs

    AUGUST 5, 2019

    testimonials/nextdoor_root_cause_analysis

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    Nextdoor

    Nextdoor: Simplifying root cause analysis with APM and App Analytics

    DECEMBER 31, 2019

    testimonials/Orderbird_Outage

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    Orderbird

    How Datadog’s unified platform helps Orderbird respond faster to outages

    SEPTEMBER 18, 2019