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In automatic instrumentation, we do not change the code however, in manual instrumentation we change the code, which allows us to focus on capturing crucial information for performance analysis and debugging, depending on the specific requirements of our business where each component has its performance requirements. For example, let's consider an e-commerce application that follows a microservices architecture. The application interacts with external payment gateways or third-party services in this scenario. By instrumenting the API requests, we can measure important factors such as latency, success rate, error rates, and other relevant information specific to that particular API.