Apache Zipkin
Apache Zipkin is a distributed tracing system that helps gather timing data needed to troubleshoot latency problems in service architectures. It manages both the collection and lookup of tracing data through a collector and query service. Zipkin provides a REST API, web UI, and multiple storage backends (Cassandra, Elasticsearch, MySQL). It supports the B3 propagation format and is compatible with OpenZipkin instrumentation libraries. Originally created at Twitter, it is now maintained as an open-source project.
Apache Zipkin publishes 4 APIs on the APIs.io network, including autocomplete API, services API, spans API, and 1 more. Tagged areas include Distributed Tracing, Microservices, Monitoring, Observability, and Open Source.
Apache Zipkin’s developer surface includes documentation, developer portal, getting-started guide, release notes, support, and 6 more developer resources.
Kin Score
APIs 4
Individual APIs this provider publishes, each with its own machine-readable definition.
Apache Zipkin autocomplete API
Tag key/value autocompletion
Apache Zipkin services API
Service discovery and dependency links
Apache Zipkin spans API
Ingest spans and query span names
Apache Zipkin traces API
Query trace data
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Zipkin API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Apache Zipkin Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Apache Zipkin Finops
FINOPSFeatures 6
Notable capabilities this provider offers.
Distributed Trace Collection
Collect timing and metadata for distributed service calls with B3 propagation headers.
Trace Query and Visualization
Web UI and REST API for searching and visualizing distributed traces with latency analysis.
Service Dependency Graph
Automatic service call graph generation from collected trace data.
Multiple Storage Backends
Cassandra, Elasticsearch, and MySQL storage backends for different scale requirements.
OpenTelemetry Compatible
Accepts OTLP/Zipkin spans from OpenTelemetry instrumented services.
B3 Propagation
Standard B3 trace propagation headers for distributed context passing across services.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 4
What developers build with this provider.
Microservices Latency Troubleshooting
Identify bottlenecks and slow service calls in distributed architectures.
Service Dependency Mapping
Automatically discover and visualize service-to-service call graphs.
Performance Regression Detection
Compare trace data before and after deployments to detect performance regressions.
Root Cause Analysis
Follow distributed call chains to identify the root cause of errors and failures.
Integrations 6
Pre-built integrations with other platforms and tools.
Spring Cloud Sleuth
Spring Boot auto-instrumentation for trace propagation and Zipkin reporting.
Brave
Java instrumentation library (Brave) for adding Zipkin tracing to Java applications.
Elasticsearch
Elasticsearch storage backend for scalable trace data storage and search.
Apache Cassandra
Cassandra storage backend for high-volume trace data.
OpenTelemetry
OpenTelemetry Zipkin exporter for reporting OTLP traces to Zipkin.
Kafka
Kafka collector for ingesting spans from high-throughput microservice architectures.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use