配置logback调试语句，并在应用程序启动期间将状态消息打印到控制台。

spring-logback.xml：

<configuration>
    <statusListener class="ch.qos.logback.core.status.OnConsoleStatusListener" />
    <include resource="org/springframework/boot/logging/logback/base.xml"/>
    
    <appender name="aiAppender" class="com.microsoft.applicationinsights.logback.ApplicationInsightsAppender">
        <instrumentationKey>${applicationinsights.instrumentationKey}</instrumentationKey>
    </appender>
    <logger name="com.example" level="INFO"/>
    <root level="INFO">
        <appender-ref ref="aiAppender"/>
    </root>
</configuration>

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• 下面是我在应用程序中使用的依赖项，并创建了一个TimingAspect类来捕获方法执行时间。
• build.gradle：*

implementation 'com.microsoft.azure:applicationinsights-spring-boot-starter:2.6.4'
implementation 'com.microsoft.azure:applicationinsights-logging-logback:2.6.4'
implementation 'com.microsoft.azure:applicationinsights-runtime-attach:3.4.14'
implementation 'com.microsoft.azure:applicationinsights-core:3.4.14'

型

TimingAspect：

@Aspect
@Component
public class TimingAspect {
    @Around("@annotation(timed)")
    public Object logExecutionTime(ProceedingJoinPoint joinPoint, Timed timed) throws Throwable {
        long startTime = System.currentTimeMillis();
        Object result = joinPoint.proceed();
        long endTime = System.currentTimeMillis();
        long executionTime = endTime - startTime;
        // Log or send telemetry with method name and execution time
        logMethodExecutionTime(joinPoint, timed.value(), executionTime);
        return result;
    }
    private void logMethodExecutionTime(ProceedingJoinPoint joinPoint, String customName, long executionTime) {
        // Use TelemetryClient to send telemetry data
        TelemetryClient telemetryClient = new TelemetryClient();
        EventTelemetry event = new EventTelemetry("MethodExecutionTime");
        event.getProperties().put("methodName", customName.isEmpty() ? joinPoint.getSignature().getName() : customName);
        event.getProperties().put("executionTime", String.valueOf(executionTime));
        telemetryClient.trackEvent(event);
    }
}

型

主类：

@SpringBootApplication
public class sampletestapp {
    public static void main(String[] args) {
        // Attach Application Insights
        ApplicationInsights.attach();
        // Start OpenTelemetry
        startOpenTelemetry();
        // Run the Spring Boot application
        SpringApplication.run(YourApplication.class, args);
    }
    private static void startOpenTelemetry() {
        ApplicationInsightsSpanExporter applicationInsightsExporter = new ApplicationInsightsSpanExporter();
        // Optionally, add other exporters (e.g., LoggingSpanExporter) for debugging purposes
        LoggingSpanExporter loggingExporter = new LoggingSpanExporter();
        // Create an OpenTelemetry Tracer
        Tracer tracer = GlobalOpenTelemetry.getTracer("your-application-name");
        // Set up the span processors with the exporters
        OpenTelemetrySdk.getTracerProvider()
                .addSpanProcessor(SimpleSpanProcessor.create(applicationInsightsExporter))
                .addSpanProcessor(SimpleSpanProcessor.create(loggingExporter));
        // Optionally, you can also set other OpenTelemetry configurations
        // Register the ApplicationInsightsHttpFilter for automatic correlation of HTTP requests
        ApplicationInsightsHttpFilter instrumentedFilter = new ApplicationInsightsHttpFilter();
        // Optionally, configure the filter if needed
        // instrumentedFilter.set...
        // Register the filter with the servlet container
        GlobalOpenTelemetry.getPropagators().getHttpTextFormat().inject(tracer.getCurrentSpan().getContext(),
                instrumentedFilter, ApplicationInsightsHttpFilter.SETTER);
        // Optionally, you can register other instrumentation (e.g., JDBC, gRPC, etc.) based on your application needs
    }
}

型
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应用洞察：

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