Zipkin
Zipkin serves as a powerful distributed tracing system, crucial for diagnosing latency issues within service architectures. It collects and retrieves timing data, allowing users to quickly access specific traces using trace IDs or by querying attributes like service names and operation tags. The intuitive UI features a dependency diagram, illustrating the flow of traced requests and highlighting error paths or deprecated service calls. Instrumentation is required for applications to report data, typically via protocols like HTTP or Kafka, with options for persistent storage using backends such as Apache Cassandra or Elasticsearch.
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Top Zipkin Features
- Trace ID jump functionality
- Attribute-based querying
- Service performance percentage
- Failure operation tracking
- In-memory data storage
- Persistent backend support
- Dependency diagram visualization
- Aggregate behavior analysis
- Error path identification
- Support for multiple protocols
- Instrumentation library configuration
- Real-time latency monitoring
- Customizable trace data collection
- Cross-service request tracing
- Historical trace data lookup
- User-friendly UI design
- Integration with messaging systems
- Exportable trace reports
- Multi-service tracing capabilities
- Tag-based filtering options
