What is OpenTelemetry?

OpenTelemetry is a vendor-neutral, open-source observability framework that provides APIs, SDKs, and tools for generating traces, metrics, and logs. It is the CNCF standard, merging OpenTracing and OpenCensus.

Should I trace every request?

For high-traffic services, trace sampling (e.g., 1-10% of requests) reduces storage costs while maintaining statistical visibility. Always trace 100% of errors. Head-based or tail-based sampling strategies offer different trade-offs.

How is tracing different from logging?

Logs record discrete events within a single service. Traces connect events across multiple services into a single request journey. They are complementary — correlate trace IDs with log entries for full context.

Distributed Tracing Explained

Follow a request through every service it touches — the observability technique that makes microservices debuggable.

Distributed Tracing

Distributed tracing is an observability technique that tracks requests as they flow through multiple services in a distributed system, providing end-to-end visibility into latency, errors, and service dependencies.

Explanation

In a monolithic application, a single stack trace shows everything that happened during a request. In a microservices architecture, a single user action might touch 10-20 services. When something is slow or fails, which service is the bottleneck? Distributed tracing answers this by assigning a unique trace ID to each request and propagating it through every service call. A trace represents the entire journey of a request, composed of spans — each span represents one operation in one service (e.g., "query user database," "call payment API," "render template"). Spans record start time, duration, status, and metadata (tags). The trace assembles spans into a directed acyclic graph showing the call hierarchy, parallel operations, and where time was spent. Popular tracing systems include Jaeger (open source, CNCF), Zipkin (open source, Twitter-originated), AWS X-Ray (managed), and commercial platforms (Datadog, New Relic, Honeycomb). OpenTelemetry provides a vendor-neutral SDK for instrumenting applications, producing traces that can be exported to any backend.

Bookuvai Implementation

Bookuvai instruments all microservices with OpenTelemetry for distributed tracing. Trace context is automatically propagated through HTTP headers and message queue metadata. Our standard dashboard shows request latency breakdowns across services, enabling rapid identification of bottlenecks. Traces are correlated with logs and metrics for comprehensive observability.

Key Facts

Trace IDs propagate through all service boundaries via HTTP headers
Spans represent individual operations with timing and metadata
OpenTelemetry is the vendor-neutral standard for instrumentation
Sampling strategies balance observability with storage costs
Critical for debugging latency issues in microservices architectures

Related Terms

Frequently Asked Questions

What is OpenTelemetry?: OpenTelemetry is a vendor-neutral, open-source observability framework that provides APIs, SDKs, and tools for generating traces, metrics, and logs. It is the CNCF standard, merging OpenTracing and OpenCensus.
Should I trace every request?: For high-traffic services, trace sampling (e.g., 1-10% of requests) reduces storage costs while maintaining statistical visibility. Always trace 100% of errors. Head-based or tail-based sampling strategies offer different trade-offs.
How is tracing different from logging?: Logs record discrete events within a single service. Traces connect events across multiple services into a single request journey. They are complementary — correlate trace IDs with log entries for full context.