Distributed Tracing Setup Tool
🔍 Distributed Tracing Setup Tool
Configure and validate distributed tracing settings for your microservices architecture with ease.
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Start Free TrialHow to Use the Distributed Tracing Setup Tool
Configure your distributed tracing settings by selecting your preferred backend (Jaeger, Zipkin, or OpenTelemetry), entering service details, and generating the appropriate configuration files for your deployment environment.
Why Distributed Tracing Matters for Microservices
Distributed tracing helps you understand the flow of requests across multiple services, identify performance bottlenecks, and debug issues in complex microservice architectures. It provides end-to-end visibility into your application's behavior.
Supported Tracing Backends
This tool supports configuration for:
- Jaeger - Open source, end-to-end distributed tracing system
- Zipkin - Distributed tracing system that helps gather timing data
- OpenTelemetry - Observability framework for cloud-native software
- Custom backends - Configure your own tracing solution
Integration with Cloud Infrastructure
Kloudbean's cloud hosting platform provides seamless integration with distributed tracing systems, offering managed observability solutions that scale with your microservices architecture.
Frequently Asked Questions
Q. What sampling rate should I use?
For development: 1.0 (100%), for production: 0.1-0.01 (10%-1%) depending on traffic volume to balance observability with performance.
Q. Can I use multiple tracing backends?
Yes, you can configure multiple exporters, but be aware this may impact performance. Consider using a tracing proxy or collector.
Q. How do I handle sensitive data in traces?
Use custom tags to mark sensitive spans and configure your tracing backend to sanitize or exclude sensitive information.
Q. What's the difference between Jaeger and Zipkin?
Both are excellent choices. Jaeger has better Kubernetes integration and UI, while Zipkin has a simpler architecture and broader language support.
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