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 frontend devices to databases—with no sampling. By seamlessly correlating distributed traces with frontend and backend data, Datadog APM enables you to monitor service dependencies, 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

Tracing without Limits™: No sampling, no blind spots

Ingest, search, and analyze 100% of traces live over the last 15 minutes
Retain errors and high latency traces automatically for 15 days
Control cost-visibility tradeoffs with custom Retention Filters
Generate custom metrics from all ingested spans to track trends and KPIs (join the beta)

Code-level visibility, instant root cause analysis

Inspect methods, classes, and threads for requests tied to Continuous Profiler
Break down slow requests by time spent in code on CPU, GC, lock contention, and I/O
Jump from high resource-consuming profiles to the worst offending traces
Enhance application performance monitoring with regression detection after code deploys

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