Modern Application Performance Monitoring (APM)

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

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

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.

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

Ingest, search, and analyze 100% of traces live over the last 15 minutes.

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