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zipkin-go

Zipkin-Go is the official OpenZipkin distributed tracing library for Go applications. It provides instrumentation for HTTP, gRPC, and Kafka to capture and export trace data to Zipkin backends, enabling visibility into service-to-service communication and latency analysis.

Source: GitHub — github.com/openzipkin/zipkin-go
622
GitHub stars
115
Forks
Go
Primary language
Apache-2.0
License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

FieldValue
Repositoryopenzipkin/zipkin-go
Owneropenzipkin
Primary languageGo
LicenseApache-2.0 — OSI-approved
Stars622
Forks115
Open issues13
Latest releasev0.4.3 (2024-04-29)
Last updated2025-02-06
Sourcehttps://github.com/openzipkin/zipkin-go

What zipkin-go is

Zipkin-Go implements the Zipkin V2 Span Model with pluggable reporters (HTTP, Kafka), B3 propagation for context propagation across services, and middleware for HTTP, gRPC, and standard library integration. The library is modular, with separate packages for model, propagation, middleware, and reporting concerns.

Quickstart

Get the zipkin-go source

Clone the repository and explore it locally.

terminalbash
git clone https://github.com/openzipkin/zipkin-go.gitcd zipkin-go# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Microservices Observability

Instrument Go microservices to trace requests across service boundaries, identify bottlenecks, and visualize request flows in Zipkin UI for debugging latency issues.

Distributed System Performance Analysis

Capture span-level metrics from HTTP and gRPC calls to analyze end-to-end latency, dependency chains, and resource contention across multiple services.

Integration with OpenZipkin Ecosystem

Export traces natively to Zipkin backends via HTTP or Kafka, maintaining compatibility with the broader OpenZipkin tooling and standards.

Implementation considerations

  • Plan sampling strategy early; Zipkin-Go supports sampling flags in B3 propagation, but unsampled spans still incur tracing overhead.
  • Use the HTTP Reporter for most cases; Kafka Reporter requires operational knowledge of Kafka topics and producer configuration.
  • Middleware integration varies by framework; standard library and gRPC are fully supported, but higher-level frameworks may require adapter layers.
  • Ensure Zipkin backend is available and properly configured before enabling tracing; misconfigured reporters may silently drop spans.
  • Consider span buffering behavior in the HTTP Reporter to balance throughput with memory usage in high-QPS environments.

When to avoid it — and what to weigh

  • No Zipkin Backend Planned — If your observability stack uses only other tracing backends (e.g., Jaeger, Datadog), alternative libraries with native support may be a better fit.
  • Minimal Instrumentation Requirements — For simple applications with few cross-service calls, the overhead of setting up tracing infrastructure may exceed observability value.
  • Very Large Trace Volumes at High Sampling — If you cannot accept sampling and need full trace capture at scale, evaluate reporter performance and Zipkin backend capacity limits upfront.
  • Custom Propagation Formats Required — Library currently supports Zipkin B3 propagation; if non-standard context propagation is mandatory, custom implementation or alternative libraries may be needed.

License & commercial use

Licensed under Apache License 2.0 (Apache-2.0), a permissive OSI-approved license permitting commercial use, modification, and distribution with attribution and liability disclaimers.

Apache 2.0 clearly permits commercial use. No special permissions are required to use zipkin-go in proprietary applications or services. Review the full license text for indemnification and patent clauses if relevant to your business context.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

SignalAssessment
MaintenanceActive
DocumentationAdequate
License clarityClear
Deployment complexityLow
DEV.co fitStrong
Assessment confidenceHigh
Security considerations

Library handles span data (request/response metadata, service names, timing). Spans may contain sensitive information; implement filtering at middleware layer or configure reporter to scrub PII before export. Ensure Zipkin backend endpoint is authenticated and TLS-encrypted if spans cross untrusted networks. No known CVEs mentioned in data provided.

Alternatives to consider

Jaeger Go client

Also distributed tracing; Jaeger is OpenTelemetry-compatible and has broader backend support (Datadog, cloud vendors). Use if already invested in Jaeger ecosystem.

OpenTelemetry Go SDK

Modern, vendor-neutral tracing standard; supports multiple backends (Zipkin, Jaeger, cloud vendors) and is the future direction. Heavier than zipkin-go but more flexible.

Elastic APM Go agent

If integrated with Elastic Stack, provides out-of-box integration and dashboards. Zipkin-Go is lighter and more portable but less opinionated.

Software development agency

Build on zipkin-go with DEV.co software developers

Discuss observability strategy, Zipkin backend setup, and instrumentation approach with our engineering team. We help you design scalable tracing for distributed systems.

Talk to DEV.co

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zipkin-go FAQ

Can I use zipkin-go without a Zipkin backend?
No. The library is designed to export traces to a Zipkin backend. Without a collector endpoint, tracing will fail silently or drop spans. You must provision and operate a Zipkin server or managed Zipkin service.
Does zipkin-go support OpenTelemetry?
Not directly. Zipkin-Go is Zipkin-native. If you require OpenTelemetry interoperability, use the OpenTelemetry Go SDK with a Zipkin exporter instead.
What is the performance impact of tracing with zipkin-go?
Depends on sampling rate, middleware configuration, and reporter buffering. At full sampling with synchronous reporting, expect measurable overhead (~microseconds per span). Asynchronous HTTP Reporter and sampling reduce impact; test in your environment.
How do I propagate trace context across async Go goroutines?
Use context.Context to carry span information; pass context through goroutine invocations and into child span creation. Zipkin-Go does not auto-propagate across goroutine boundaries.

Work with a software development agency

DEV.co helps companies turn open-source tools like zipkin-go into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your open-source observability stack.

Evaluate Zipkin-Go for Your Go Microservices

Discuss observability strategy, Zipkin backend setup, and instrumentation approach with our engineering team. We help you design scalable tracing for distributed systems.