Advanced AI Prompt for Datadog APM Distributed Tracing Integration

Act as an Enterprise Observability Architect. Provide a deeply technical, code-level execution guide for instrumenting Datadog APM (Application Performance Monitoring) across a highly fragmented [MICROSERVICE_STACK] (e.g., a Next.js frontend calling a Go gRPC backend). You must explicitly detail the HTTP header propagation required to pass the 'x-datadog-trace-id' unbroken across the network boundaries. Formulate the exact [LOG_CORRELATION] configuration required to physically inject these Trace IDs directly into the standard JSON application logs. Define a strict [SAMPLING_RATE] (e.g., 10%) within the Datadog Agent configuration to prevent metric ingestion costs from spiraling out of control while preserving statistical accuracy for p99 latency troubleshooting.