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How to integrate Micrometer Tracing in Spring Cloud?
1. What is Micrometer Tracing?
Micrometer Tracing is a tracing library for microservice architectures that provides a simple and powerful way to collect and report performance and call chain information in distributed systems. It is part of the Micrometer library, which is a metric collection tool for application monitoring that supports multiple monitoring systems such as Prometheus, Graphite, and InfluxDB.
Micrometer Tracing is designed to help developers and operators understand the interactions between microservices, identify performance bottlenecks, and improve the observability of the system. By tracing the life cycle of a request, Micrometer Tracing can provide detailed call chain information to help the team quickly locate problems.
Advantages of Micrometer Tracing
- Easy to use : Micrometer Tracing provides simple annotations and APIs, making it very easy to add tracing to your application.
- Integration with Micrometer ecosystem : As part of Micrometer, Micrometer Tracing can be seamlessly integrated with other monitoring tools to provide a comprehensive monitoring solution.
- Flexible sampling strategy : Users can customize the sampling strategy according to their needs to balance the level of tracing detail and performance overhead.
- Rich context information : Through Tags and Span, users can obtain rich context information to help quickly locate problems.
Core Concepts of Micrometer Tracing
- Span : Span is the basic unit of tracing, indicating the start and end of an operation. Each Span has a unique identifier (Span ID) and can contain information about the parent Span, thus forming a call chain.
- Trace : A trace is composed of multiple spans, representing the complete life cycle of a request in the system. Each trace has a unique identifier (Trace ID) that can be used to track the entire request path.
- Tags : Tags are key-value pairs attached to a span to provide additional contextual information, such as service name, method name, status code, etc. Tags can help users better understand and analyze tracing data.
- Sampler : Sampler determines which requests will be traced. You can configure the sampling strategy based on the characteristics of the request…
