What logs and metrics are most useful for Distributed tracing?

Distributed Tracing, Logs, Metrics, Microservices, Performance Monitoring
Discover the essential logs and metrics for effective distributed tracing in microservices architectures. Enhance your performance monitoring and troubleshooting processes.

         $traceId,
            "span_id" => $spanId,
            "service_name" => "OrderService",
            "timestamp" => time(),
            "message" => "Process started for order ID: 12345"
        ]);
        
        // Collecting performance metrics like response time
        $startTime = microtime(true);
        
        // Simulate a process (e.g., a database call)
        sleep(1); // Simulates delay
        
        $endTime = microtime(true);
        $responseTime = $endTime - $startTime; // Calculate response time
        
        // Log the completion of the process
        logEvent("PROCESS_END", [
            "trace_id" => $traceId,
            "span_id" => $spanId,
            "service_name" => "OrderService",
            "response_time" => $responseTime,
            "timestamp" => time(),
            "message" => "Process completed for order ID: 12345"
        ]);
        
        function logEvent($eventType, $data) {
            // Function to send logs to a centralized logging system
            // Here, you would typically send data to a logging service (e.g., ELK, Splunk)
            echo json_encode([$eventType => $data]);
        }
        
        function generateTraceId() {
            return bin2hex(random_bytes(16)); // Generate a random trace ID
        }

        function generateSpanId() {
            return bin2hex(random_bytes(8)); // Generate a random span ID
        }
        ?>
    

Distributed Tracing Logs Metrics Microservices Performance Monitoring