Implementing Distributed Tracing in Datadog APM for Microservices: A Step‑by‑Step Guide
Learn how to enable Datadog APM distributed tracing for microservices, verify traces appear in the UI, and manage sampling and overhead trade‑offs.
ReadMeFeed / Community knowledge
Real questions. Useful conversations. Find the people who know your stack.
Learn how to enable Datadog APM distributed tracing for microservices, verify traces appear in the UI, and manage sampling and overhead trade‑offs.
Capture business identifiers like customer ID or tenant from HTTP headers or method arguments using Dynatrace Request Attributes. This guide covers UI and API configuration, metric splitting, cardinality limits, and common pitfalls.
Traces appear for some services but distributed traces are broken. Use this diagnostic guide to check sampling, service names, agent health and intake connectivity in Datadog APM for microservices.
Configure Jaeger 1.x adaptive sampling to hold a steady traces-per-second target across hot and cold services, with verification steps, fallback behavior, and rollback.
Learn how to use Jaeger Remote Sampling to dynamically adjust trace rates across services without redeploying code, including configuration examples and verification steps.
When some requests produce traces and others don’t, or downstream spans disappear, follow these ordered checks to pinpoint tracer‑Agent connectivity, sampling, retention filters, or propagation issues.
Jaeger clients fetch probabilistic or rate‑limiting sampling strategies from the collector through the local agent, enabling dynamic trace‑volume control without code changes or restarts.
Learn how to use Datadog custom spans to bridge visibility gaps in asynchronous workflows and enrich your traces with business-specific metadata.
Use Dynatrace request attributes to attach tenant IDs, order values, or feature flags to PurePaths for filtering — configure via HTTP headers or method capture, avoid PII pitfalls, and verify in minutes.