Zipkin
Zipkin is a distributed tracing system that helps gather timing data needed to troubleshoot latency problems in service architectures. It tracks request flows across microservices, analyzes performance bottlenecks, and identifies fault sources.
## Zipkin Distributed Tracing System Zipkin official website: https://zipkin.io/ Zipkin is a distributed tracing system that helps gather timing data needed to troubleshoot latency problems in service architectures. It tracks request flows across microservices, analyzes performance bottlenecks, and identifies fault sources. ## Main Features - 🔍 Trace Lookup & Analysis: Query traces by service, operation name, tags, and duration to understand time distribution and success rates - 📊 Visual Dashboards: View individual traces and dependency diagrams showing request flow between applications - 📡 Flexible Data Collection: Accept trace data via HTTP, Kafka, gRPC, RabbitMQ, Apache Pulsar, and more - 💾 Persistent Storage: Built-in Elasticsearch for persistent data storage. Also supports other backends (Cassandra, in-memory, etc.) configurable via environment variables - 🌐 Complete UI Interface: Web UI for viewing traces and dependencies, with error path identification ## Getting Started 1. Access the web interface directly after deployment 2. Applications send trace data to: `https://zipkin.{box-name}.heiyu.space/api/v2/spans` 3. Query and analyze service call chains through UI to identify performance issues 4. Modify environment variables to switch storage backends (Elasticsearch by default) ## Quick Test Verify Zipkin functionality using the test script: ```bash curl -O https://raw.githubusercontent.com/lazycatapps/zipkin/main/test-zipkin.sh chmod +x test-zipkin.sh ./test-zipkin.sh ``` **Official Website:** https://zipkin.io/ **Repository:** https://github.com/lazycatapps/zipkin.git
