Datadog

APM & Distributed Tracing

End-to-end request tracing across every service in your distributed system. Find slow endpoints, debug production errors, and meet SLOs — with traces correlated to the infrastructure metrics and logs you already have in Datadog.

At a glance

Auto-instrumentationJava, Python, Go, Node, Ruby, .NET
Trace retentionConfigurable, indexed tail-sampling
CorrelationTraces ↔ logs ↔ metrics unified
SLO trackingRequest, latency, error rate SLOs
ProfilingAlways-on, production-safe

Capabilities

What APM delivers

Distributed Tracing

Trace every request from the browser through your microservices, databases, and queues. See exactly where latency accumulates and why.

Service Map

Auto-generated service dependency map shows every upstream and downstream connection, with real-time performance overlays on each edge.

Error Tracking

Group, triage, and track errors across services with full context — stack trace, span attributes, correlated logs, and impacted users.

Continuous Profiling

Always-on code-level profiling in production. See which functions consume CPU and memory — without a performance hit or sampling gaps.

Why Turtini

From zero traces to production SLOs

Turtini helps teams go from no tracing at all to full APM coverage with defined SLOs — including the instrumentation, sampling strategy, and alert configuration that makes APM actionable rather than a firehose. We configure Datadog APM to work alongside the RHEL and OpenShift infrastructure your applications run on.

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