第256集服务实例CPU100%怎么办架构实战：CPU高负载诊断、应急处理与企业级性能优化设计

@Component
public class ServiceDegradationManager {

    @Autowired
    private SystemMetrics systemMetrics;

    @Autowired
    private CircuitBreaker circuitBreaker;

    /**
     * CPU高负载时的服务降级
     */
    public <T> T executeWithDegradation(Supplier<T> primaryService, 
                                       Supplier<T> fallbackService) {
        // 检查CPU使用率
        if (systemMetrics.getCpuUsage() > 90) {
            log.warn("CPU使用率过高，启用降级服务");
            return fallbackService.get();
        }

        // 检查熔断器状态
        if (circuitBreaker.isOpen()) {
            log.warn("熔断器开启，使用降级服务");
            return fallbackService.get();
        }

        try {
            return primaryService.get();
        } catch (Exception e) {
            log.error("主服务执行失败，使用降级服务", e);
            return fallbackService.get();
        }
    }

    /**
     * 非核心功能降级
     */
    @Degradation(threshold = 80, fallback = "degradedNonCoreService")
    public String nonCoreService() {
        // 非核心业务逻辑
        return "正常服务";
    }

    public String degradedNonCoreService() {
        return "降级服务";
    }
}

@Component
public class TrafficDegradationManager {

    @Autowired
    private RedisTemplate<String, Object> redisTemplate;

    @Autowired
    private SystemMetrics systemMetrics;

    /**
     * 基于CPU使用率的流量降级
     */
    @RateLimiter(value = "cpu-based", fallbackMethod = "fallbackMethod")
    public String processRequest(String request) {
        // 根据CPU使用率动态调整限流
        double cpuUsage = systemMetrics.getCpuUsage();
        int rateLimit = calculateRateLimit(cpuUsage);

        // 设置动态限流
        RateLimiter rateLimiter = RateLimiter.create(rateLimit);
        if (!rateLimiter.tryAcquire()) {
            throw new RateLimitExceededException("请求被限流");
        }

        return processBusinessLogic(request);
    }

    private int calculateRateLimit(double cpuUsage) {
        if (cpuUsage > 90) {
            return 10; // 严重降级
        } else if (cpuUsage > 80) {
            return 50; // 中等降级
        } else if (cpuUsage > 70) {
            return 100; // 轻微降级
        }
        return 1000; // 正常限流
    }

    public String fallbackMethod(String request) {
        return "服务暂时不可用，请稍后重试";
    }
}

@Component
public class IntelligentAlertManager {

    @Autowired
    private AlertService alertService;

    @Autowired
    private SystemMetrics systemMetrics;

    /**
     * 智能CPU告警
     */
    @Scheduled(fixedRate = 30000)
    public void checkCpuUsage() {
        double cpuUsage = systemMetrics.getCpuUsage();
        double loadAverage = systemMetrics.getLoadAverage();
        int activeThreads = systemMetrics.getActiveThreads();

        // 综合分析判断是否需要告警
        if (shouldAlert(cpuUsage, loadAverage, activeThreads)) {
            AlertLevel level = determineAlertLevel(cpuUsage, loadAverage, activeThreads);
            String message = generateAlertMessage(cpuUsage, loadAverage, activeThreads);

            alertService.sendAlert(level, message);
        }
    }

    private boolean shouldAlert(double cpuUsage, double loadAverage, int activeThreads) {
        // 基于历史数据判断是否为异常
        double historicalAvg = systemMetrics.getHistoricalCpuAverage();
        double threshold = historicalAvg * 1.5; // 动态阈值

        return cpuUsage > threshold || 
               loadAverage > systemMetrics.getCpuCores() * 0.8 ||
               activeThreads > systemMetrics.getMaxThreads() * 0.9;
    }

    private AlertLevel determineAlertLevel(double cpuUsage, double loadAverage, int activeThreads) {
        if (cpuUsage > 95 || loadAverage > systemMetrics.getCpuCores()) {
            return AlertLevel.CRITICAL;
        } else if (cpuUsage > 85 || loadAverage > systemMetrics.getCpuCores() * 0.8) {
            return AlertLevel.WARNING;
        }
        return AlertLevel.INFO;
    }
}

@Service
public class OptimizedAlgorithmService {

    /**
     * 优化前：O(n²)复杂度
     */
    public List<String> findDuplicatesOld(List<String> list) {
        List<String> duplicates = new ArrayList<>();
        for (int i = 0; i < list.size(); i++) {
            for (int j = i + 1; j < list.size(); j++) {
                if (list.get(i).equals(list.get(j))) {
                    duplicates.add(list.get(i));
                }
            }
        }
        return duplicates;
    }

    /**
     * 优化后：O(n)复杂度
     */
    public List<String> findDuplicatesOptimized(List<String> list) {
        Set<String> seen = new HashSet<>();
        List<String> duplicates = new ArrayList<>();

        for (String item : list) {
            if (!seen.add(item)) {
                duplicates.add(item);
            }
        }
        return duplicates;
    }

    /**
     * 并行处理优化
     */
    public List<String> findDuplicatesParallel(List<String> list) {
        return list.parallelStream()
                .collect(Collectors.groupingBy(Function.identity(), Collectors.counting()))
                .entrySet()
                .parallelStream()
                .filter(entry -> entry.getValue() > 1)
                .map(Map.Entry::getKey)
                .collect(Collectors.toList());
    }
}

@Service
public class DataStructureOptimizationService {

    /**
     * 使用更高效的数据结构
     */
    public class OptimizedCache {
        // 使用ConcurrentHashMap替代synchronized HashMap
        private final ConcurrentHashMap<String, Object> cache = new ConcurrentHashMap<>();

        // 使用LinkedHashMap实现LRU缓存
        private final Map<String, Object> lruCache = Collections.synchronizedMap(
            new LinkedHashMap<String, Object>(16, 0.75f, true) {
                @Override
                protected boolean removeEldestEntry(Map.Entry<String, Object> eldest) {
                    return size() > 1000;
                }
            }
        );

        public Object get(String key) {
            return cache.get(key);
        }

        public void put(String key, Object value) {
            cache.put(key, value);
        }

        public Object getLru(String key) {
            return lruCache.get(key);
        }

        public void putLru(String key, Object value) {
            lruCache.put(key, value);
        }
    }

    /**
     * 对象池优化
     */
    public class ObjectPool<T> {
        private final Queue<T> pool = new ConcurrentLinkedQueue<>();
        private final Supplier<T> factory;

        public ObjectPool(Supplier<T> factory) {
            this.factory = factory;
        }

        public T borrow() {
            T object = pool.poll();
            return object != null ? object : factory.get();
        }

        public void returnObject(T object) {
            if (object != null) {
                pool.offer(object);
            }
        }
    }
}

@Component
public class MemoryOptimizationService {

    /**
     * 内存使用监控
     */
    @Scheduled(fixedRate = 60000)
    public void monitorMemoryUsage() {
        MemoryMXBean memoryBean = ManagementFactory.getMemoryMXBean();
        MemoryUsage heapUsage = memoryBean.getHeapMemoryUsage();
        MemoryUsage nonHeapUsage = memoryBean.getNonHeapMemoryUsage();

        long heapUsed = heapUsage.getUsed();
        long heapMax = heapUsage.getMax();
        long nonHeapUsed = nonHeapUsage.getUsed();

        double heapUsagePercent = (double) heapUsed / heapMax * 100;

        if (heapUsagePercent > 80) {
            log.warn("堆内存使用率过高: {}%", heapUsagePercent);
            // 触发GC
            System.gc();
        }

        log.info("内存使用情况 - 堆: {}/{} ({}%), 非堆: {}", 
                heapUsed, heapMax, heapUsagePercent, nonHeapUsed);
    }

    /**
     * 内存泄漏检测
     */
    public void detectMemoryLeak() {
        // 使用WeakHashMap检测内存泄漏
        Map<Object, Object> weakMap = new WeakHashMap<>();

        // 定期检查WeakHashMap的大小
        ScheduledExecutorService executor = Executors.newScheduledThreadPool(1);
        executor.scheduleAtFixedRate(() -> {
            int size = weakMap.size();
            if (size > 10000) {
                log.warn("检测到可能的内存泄漏，WeakHashMap大小: {}", size);
            }
        }, 0, 5, TimeUnit.MINUTES);
    }
}

@Service
public class AsyncProcessingService {

    @Autowired
    private ThreadPoolTaskExecutor asyncExecutor;

    /**
     * 异步处理优化
     */
    @Async("asyncExecutor")
    public CompletableFuture<String> processAsync(String data) {
        // 异步处理业务逻辑
        return CompletableFuture.supplyAsync(() -> {
            try {
                // 模拟耗时操作
                Thread.sleep(1000);
                return "处理完成: " + data;
            } catch (InterruptedException e) {
                Thread.currentThread().interrupt();
                throw new RuntimeException(e);
            }
        });
    }

    /**
     * 批量异步处理
     */
    public CompletableFuture<List<String>> processBatchAsync(List<String> dataList) {
        List<CompletableFuture<String>> futures = dataList.stream()
                .map(this::processAsync)
                .collect(Collectors.toList());

        return CompletableFuture.allOf(futures.toArray(new CompletableFuture[0]))
                .thenApply(v -> futures.stream()
                        .map(CompletableFuture::join)
                        .collect(Collectors.toList()));
    }

    /**
     * 线程池配置
     */
    @Configuration
    @EnableAsync
    public class AsyncConfig implements AsyncConfigurer {

        @Bean(name = "asyncExecutor")
        public ThreadPoolTaskExecutor asyncExecutor() {
            ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
            executor.setCorePoolSize(10);
            executor.setMaxPoolSize(50);
            executor.setQueueCapacity(200);
            executor.setThreadNamePrefix("Async-");
            executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
            executor.initialize();
            return executor;
        }
    }
}

@Service
public class CacheOptimizationService {

    @Autowired
    private RedisTemplate<String, Object> redisTemplate;

    @Autowired
    private CaffeineCache localCache;

    /**
     * 多级缓存优化
     */
    public Object getWithMultiLevelCache(String key) {
        // 1. 本地缓存
        Object value = localCache.getIfPresent(key);
        if (value != null) {
            return value;
        }

        // 2. Redis缓存
        value = redisTemplate.opsForValue().get(key);
        if (value != null) {
            localCache.put(key, value);
            return value;
        }

        // 3. 数据库查询
        value = loadFromDatabase(key);
        if (value != null) {
            // 写入缓存
            redisTemplate.opsForValue().set(key, value, Duration.ofMinutes(30));
            localCache.put(key, value);
        }

        return value;
    }

    /**
     * 缓存预热
     */
    @PostConstruct
    public void warmUpCache() {
        List<String> hotKeys = getHotKeys();
        hotKeys.parallelStream().forEach(key -> {
            Object value = loadFromDatabase(key);
            if (value != null) {
                redisTemplate.opsForValue().set(key, value, Duration.ofHours(1));
                localCache.put(key, value);
            }
        });
    }

    /**
     * 缓存更新策略
     */
    @CacheEvict(value = "userCache", key = "#userId")
    public void updateUser(String userId, User user) {
        // 更新数据库
        userRepository.save(user);

        // 异步更新缓存
        CompletableFuture.runAsync(() -> {
            redisTemplate.opsForValue().set("user:" + userId, user, Duration.ofMinutes(30));
        });
    }
}

@Component
public class NetworkOptimizationService {

    /**
     * 连接池优化
     */
    @Bean
    public RestTemplate optimizedRestTemplate() {
        HttpComponentsClientHttpRequestFactory factory = new HttpComponentsClientHttpRequestFactory();

        // 连接池配置
        PoolingHttpClientConnectionManager connectionManager = new PoolingHttpClientConnectionManager();
        connectionManager.setMaxTotal(200);
        connectionManager.setDefaultMaxPerRoute(50);
        connectionManager.setValidateAfterInactivity(30000);

        CloseableHttpClient httpClient = HttpClients.custom()
                .setConnectionManager(connectionManager)
                .setDefaultRequestConfig(RequestConfig.custom()
                        .setConnectTimeout(5000)
                        .setSocketTimeout(10000)
                        .setConnectionRequestTimeout(3000)
                        .build())
                .build();

        factory.setHttpClient(httpClient);
        return new RestTemplate(factory);
    }

    /**
     * 异步HTTP客户端
     */
    @Bean
    public AsyncRestTemplate asyncRestTemplate() {
        SimpleClientHttpRequestFactory factory = new SimpleClientHttpRequestFactory();
        factory.setConnectTimeout(5000);
        factory.setReadTimeout(10000);

        AsyncRestTemplate template = new AsyncRestTemplate(factory);
        return template;
    }
}

@Component
public class SystemMetricsCollector {

    private final MeterRegistry meterRegistry;

    public SystemMetricsCollector(MeterRegistry meterRegistry) {
        this.meterRegistry = meterRegistry;
    }

    @Scheduled(fixedRate = 10000)
    public void collectSystemMetrics() {
        // CPU使用率
        OperatingSystemMXBean osBean = ManagementFactory.getOperatingSystemMXBean();
        double cpuUsage = osBean.getProcessCpuLoad() * 100;
        Gauge.builder("system.cpu.usage")
                .description("CPU使用率")
                .register(meterRegistry, () -> cpuUsage);

        // 内存使用率
        MemoryMXBean memoryBean = ManagementFactory.getMemoryMXBean();
        MemoryUsage heapUsage = memoryBean.getHeapMemoryUsage();
        double memoryUsage = (double) heapUsage.getUsed() / heapUsage.getMax() * 100;
        Gauge.builder("system.memory.usage")
                .description("内存使用率")
                .register(meterRegistry, () -> memoryUsage);

        // 线程数
        ThreadMXBean threadBean = ManagementFactory.getThreadMXBean();
        int threadCount = threadBean.getThreadCount();
        Gauge.builder("system.thread.count")
                .description("线程数")
                .register(meterRegistry, () -> threadCount);

        // GC次数
        List<GarbageCollectorMXBean> gcBeans = ManagementFactory.getGarbageCollectorMXBeans();
        long totalGcCount = gcBeans.stream().mapToLong(GarbageCollectorMXBean::getCollectionCount).sum();
        Counter.builder("system.gc.count")
                .description("GC次数")
                .register(meterRegistry)
                .increment(totalGcCount);
    }
}

@Component
public class ApplicationMetricsCollector {

    private final MeterRegistry meterRegistry;

    public ApplicationMetricsCollector(MeterRegistry meterRegistry) {
        this.meterRegistry = meterRegistry;
    }

    /**
     * 接口性能监控
     */
    @EventListener
    public void handleRequestEvent(RequestEvent event) {
        Timer.Sample sample = Timer.start(meterRegistry);
        sample.stop(Timer.builder("application.request.duration")
                .description("请求处理时间")
                .tag("method", event.getMethod())
                .tag("uri", event.getUri())
                .tag("status", String.valueOf(event.getStatus()))
                .register(meterRegistry));

        Counter.builder("application.request.count")
                .description("请求次数")
                .tag("method", event.getMethod())
                .tag("uri", event.getUri())
                .tag("status", String.valueOf(event.getStatus()))
                .register(meterRegistry)
                .increment();
    }

    /**
     * 业务指标监控
     */
    public void recordBusinessMetric(String metricName, double value, String... tags) {
        Gauge.builder("application.business." + metricName)
                .description("业务指标: " + metricName)
                .tags(tags)
                .register(meterRegistry, () -> value);
    }
}

@Component
public class AlertRuleEngine {

    @Autowired
    private AlertService alertService;

    @Autowired
    private MetricsService metricsService;

    /**
     * 告警规则执行
     */
    @Scheduled(fixedRate = 30000)
    public void executeAlertRules() {
        List<AlertRule> rules = getActiveAlertRules();

        for (AlertRule rule : rules) {
            if (evaluateRule(rule)) {
                Alert alert = createAlert(rule);
                alertService.sendAlert(alert);
            }
        }
    }

    private boolean evaluateRule(AlertRule rule) {
        switch (rule.getType()) {
            case CPU_USAGE:
                return metricsService.getCpuUsage() > rule.getThreshold();
            case MEMORY_USAGE:
                return metricsService.getMemoryUsage() > rule.getThreshold();
            case RESPONSE_TIME:
                return metricsService.getAverageResponseTime() > rule.getThreshold();
            case ERROR_RATE:
                return metricsService.getErrorRate() > rule.getThreshold();
            default:
                return false;
        }
    }

    private Alert createAlert(AlertRule rule) {
        Alert alert = new Alert();
        alert.setRuleId(rule.getId());
        alert.setLevel(rule.getLevel());
        alert.setMessage(rule.getMessage());
        alert.setTimestamp(System.currentTimeMillis());
        alert.setStatus(AlertStatus.ACTIVE);
        return alert;
    }
}

@Service
public class AlertNotificationService {

    @Autowired
    private EmailService emailService;

    @Autowired
    private SmsService smsService;

    @Autowired
    private WebhookService webhookService;

    /**
     * 发送告警通知
     */
    public void sendAlert(Alert alert) {
        List<NotificationChannel> channels = getNotificationChannels(alert.getLevel());

        for (NotificationChannel channel : channels) {
            switch (channel.getType()) {
                case EMAIL:
                    sendEmailAlert(alert, channel);
                    break;
                case SMS:
                    sendSmsAlert(alert, channel);
                    break;
                case WEBHOOK:
                    sendWebhookAlert(alert, channel);
                    break;
                case DINGTALK:
                    sendDingTalkAlert(alert, channel);
                    break;
            }
        }
    }

    private void sendEmailAlert(Alert alert, NotificationChannel channel) {
        EmailMessage message = new EmailMessage();
        message.setTo(channel.getRecipients());
        message.setSubject("系统告警: " + alert.getMessage());
        message.setContent(buildAlertContent(alert));

        emailService.sendEmail(message);
    }

    private void sendSmsAlert(Alert alert, NotificationChannel channel) {
        SmsMessage message = new SmsMessage();
        message.setPhoneNumbers(channel.getRecipients());
        message.setContent("【系统告警】" + alert.getMessage());

        smsService.sendSms(message);
    }

    private void sendWebhookAlert(Alert alert, NotificationChannel channel) {
        WebhookMessage message = new WebhookMessage();
        message.setUrl(channel.getWebhookUrl());
        message.setPayload(buildWebhookPayload(alert));

        webhookService.sendWebhook(message);
    }
}

@Component
public class PerformanceTestService {

    @Autowired
    private RestTemplate restTemplate;

    /**
     * CPU压力测试
     */
    public PerformanceTestResult cpuStressTest(int threadCount, int durationSeconds) {
        ExecutorService executor = Executors.newFixedThreadPool(threadCount);
        CountDownLatch latch = new CountDownLatch(threadCount);
        AtomicLong requestCount = new AtomicLong(0);
        AtomicLong errorCount = new AtomicLong(0);
        List<Long> responseTimes = Collections.synchronizedList(new ArrayList<>());

        long startTime = System.currentTimeMillis();

        for (int i = 0; i < threadCount; i++) {
            executor.submit(() -> {
                try {
                    while (System.currentTimeMillis() - startTime < durationSeconds * 1000) {
                        long requestStart = System.currentTimeMillis();

                        try {
                            ResponseEntity<String> response = restTemplate.getForEntity(
                                    "/api/test", String.class);

                            if (response.getStatusCode().is2xxSuccessful()) {
                                requestCount.incrementAndGet();
                            } else {
                                errorCount.incrementAndGet();
                            }
                        } catch (Exception e) {
                            errorCount.incrementAndGet();
                        }

                        long responseTime = System.currentTimeMillis() - requestStart;
                        responseTimes.add(responseTime);

                        // 控制请求频率
                        Thread.sleep(10);
                    }
                } catch (InterruptedException e) {
                    Thread.currentThread().interrupt();
                } finally {
                    latch.countDown();
                }
            });
        }

        try {
            latch.await();
        } catch (InterruptedException e) {
            Thread.currentThread().interrupt();
        }

        executor.shutdown();

        return buildTestResult(requestCount.get(), errorCount.get(), responseTimes);
    }

    private PerformanceTestResult buildTestResult(long requestCount, long errorCount, 
                                                 List<Long> responseTimes) {
        PerformanceTestResult result = new PerformanceTestResult();
        result.setTotalRequests(requestCount);
        result.setErrorCount(errorCount);
        result.setSuccessRate((double) (requestCount - errorCount) / requestCount * 100);

        if (!responseTimes.isEmpty()) {
            Collections.sort(responseTimes);
            result.setMinResponseTime(responseTimes.get(0));
            result.setMaxResponseTime(responseTimes.get(responseTimes.size() - 1));
            result.setAvgResponseTime(responseTimes.stream().mapToLong(Long::longValue).average().orElse(0));
            result.setP95ResponseTime(responseTimes.get((int) (responseTimes.size() * 0.95)));
            result.setP99ResponseTime(responseTimes.get((int) (responseTimes.size() * 0.99)));
        }

        return result;
    }
}

@Component
public class PerformanceBenchmarkService {

    /**
     * 建立性能基线
     */
    public PerformanceBaseline establishBaseline() {
        PerformanceBaseline baseline = new PerformanceBaseline();

        // CPU性能基线
        baseline.setCpuBaseline(measureCpuPerformance());

        // 内存性能基线
        baseline.setMemoryBaseline(measureMemoryPerformance());

        // 网络性能基线
        baseline.setNetworkBaseline(measureNetworkPerformance());

        // 数据库性能基线
        baseline.setDatabaseBaseline(measureDatabasePerformance());

        return baseline;
    }

    private CpuPerformanceBaseline measureCpuPerformance() {
        CpuPerformanceBaseline baseline = new CpuPerformanceBaseline();

        // 计算密集型任务测试
        long startTime = System.currentTimeMillis();
        long result = 0;
        for (int i = 0; i < 1000000; i++) {
            result += Math.sqrt(i);
        }
        long endTime = System.currentTimeMillis();

        baseline.setCalculationTime(endTime - startTime);
        baseline.setCpuCores(Runtime.getRuntime().availableProcessors());

        return baseline;
    }

    private MemoryPerformanceBaseline measureMemoryPerformance() {
        MemoryPerformanceBaseline baseline = new MemoryPerformanceBaseline();

        // 内存分配测试
        long startTime = System.currentTimeMillis();
        List<byte[]> memoryBlocks = new ArrayList<>();
        for (int i = 0; i < 1000; i++) {
            memoryBlocks.add(new byte[1024 * 1024]); // 1MB
        }
        long endTime = System.currentTimeMillis();

        baseline.setAllocationTime(endTime - startTime);
        baseline.setMaxMemory(Runtime.getRuntime().maxMemory());
        baseline.setTotalMemory(Runtime.getRuntime().totalMemory());

        return baseline;
    }
}

@Service
public class LayeredOptimizationService {

    /**
     * 应用层优化
     */
    public void optimizeApplicationLayer() {
        // 1. 代码优化
        optimizeCode();

        // 2. 算法优化
        optimizeAlgorithm();

        // 3. 数据结构优化
        optimizeDataStructure();

        // 4. 并发优化
        optimizeConcurrency();
    }

    /**
     * 框架层优化
     */
    public void optimizeFrameworkLayer() {
        // 1. Spring Boot优化
        optimizeSpringBoot();

        // 2. 数据库连接池优化
        optimizeConnectionPool();

        // 3. 缓存优化
        optimizeCache();

        // 4. 序列化优化
        optimizeSerialization();
    }

    /**
     * 中间件层优化
     */
    public void optimizeMiddlewareLayer() {
        // 1. 数据库优化
        optimizeDatabase();

        // 2. 消息队列优化
        optimizeMessageQueue();

        // 3. 缓存中间件优化
        optimizeCacheMiddleware();

        // 4. 负载均衡优化
        optimizeLoadBalancer();
    }

    /**
     * 系统层优化
     */
    public void optimizeSystemLayer() {
        // 1. JVM优化
        optimizeJVM();

        // 2. 操作系统优化
        optimizeOperatingSystem();

        // 3. 网络优化
        optimizeNetwork();

        // 4. 硬件优化
        optimizeHardware();
    }
}

@Component
public class ContinuousOptimizationService {

    @Autowired
    private PerformanceMonitorService performanceMonitor;

    @Autowired
    private OptimizationRecommendationService recommendationService;

    /**
     * 持续性能优化
     */
    @Scheduled(fixedRate = 300000) // 5分钟执行一次
    public void continuousOptimization() {
        // 1. 收集性能数据
        PerformanceData data = performanceMonitor.collectPerformanceData();

        // 2. 分析性能趋势
        PerformanceTrend trend = analyzePerformanceTrend(data);

        // 3. 识别优化机会
        List<OptimizationOpportunity> opportunities = identifyOptimizationOpportunities(trend);

        // 4. 生成优化建议
        List<OptimizationRecommendation> recommendations = 
                recommendationService.generateRecommendations(opportunities);

        // 5. 执行自动优化
        executeAutomaticOptimizations(recommendations);

        // 6. 记录优化结果
        recordOptimizationResults(recommendations);
    }

    private PerformanceTrend analyzePerformanceTrend(PerformanceData data) {
        PerformanceTrend trend = new PerformanceTrend();

        // 分析CPU趋势
        trend.setCpuTrend(analyzeCpuTrend(data.getCpuData()));

        // 分析内存趋势
        trend.setMemoryTrend(analyzeMemoryTrend(data.getMemoryData()));

        // 分析响应时间趋势
        trend.setResponseTimeTrend(analyzeResponseTimeTrend(data.getResponseTimeData()));

        return trend;
    }

    private List<OptimizationOpportunity> identifyOptimizationOpportunities(PerformanceTrend trend) {
        List<OptimizationOpportunity> opportunities = new ArrayList<>();

        // CPU优化机会
        if (trend.getCpuTrend().isIncreasing()) {
            opportunities.add(new OptimizationOpportunity(
                    OptimizationType.CPU, 
                    "CPU使用率持续上升", 
                    OptimizationPriority.HIGH));
        }

        // 内存优化机会
        if (trend.getMemoryTrend().isIncreasing()) {
            opportunities.add(new OptimizationOpportunity(
                    OptimizationType.MEMORY, 
                    "内存使用率持续上升", 
                    OptimizationPriority.MEDIUM));
        }

        // 响应时间优化机会
        if (trend.getResponseTimeTrend().isIncreasing()) {
            opportunities.add(new OptimizationOpportunity(
                    OptimizationType.RESPONSE_TIME, 
                    "响应时间持续增加", 
                    OptimizationPriority.HIGH));
        }

        return opportunities;
    }
}

@Component
public class P0FaultHandler {

    @Autowired
    private EmergencyResponseService emergencyResponse;

    @Autowired
    private NotificationService notificationService;

    /**
     * P0级故障处理
     */
    public void handleP0Fault(FaultEvent event) {
        // 1. 立即通知相关人员
        notificationService.notifyEmergencyTeam(event);

        // 2. 启动应急响应
        emergencyResponse.activateEmergencyMode();

        // 3. 执行应急措施
        executeEmergencyMeasures(event);

        // 4. 实时监控恢复情况
        monitorRecoveryProgress(event);
    }

    private void executeEmergencyMeasures(FaultEvent event) {
        switch (event.getFaultType()) {
            case CPU_100_PERCENT:
                handleCpu100Percent();
                break;
            case MEMORY_OVERFLOW:
                handleMemoryOverflow();
                break;
            case SERVICE_DOWN:
                handleServiceDown();
                break;
            case DATABASE_DOWN:
                handleDatabaseDown();
                break;
        }
    }

    private void handleCpu100Percent() {
        // 1. 立即降级非核心服务
        serviceDegradationService.degradeNonCoreServices();

        // 2. 限制请求流量
        rateLimiterService.enableEmergencyRateLimit();

        // 3. 重启异常进程
        processManagerService.restartHighCpuProcesses();

        // 4. 扩容服务实例
        scalingService.scaleOutInstances();
    }
}

@Component
public class P1FaultHandler {

    @Autowired
    private FaultAnalysisService faultAnalysis;

    @Autowired
    private OptimizationService optimizationService;

    /**
     * P1级故障处理
     */
    public void handleP1Fault(FaultEvent event) {
        // 1. 分析故障原因
        FaultAnalysisResult analysis = faultAnalysis.analyzeFault(event);

        // 2. 制定修复方案
        RepairPlan plan = createRepairPlan(analysis);

        // 3. 执行修复措施
        executeRepairMeasures(plan);

        // 4. 验证修复效果
        verifyRepairEffectiveness(plan);
    }

    private RepairPlan createRepairPlan(FaultAnalysisResult analysis) {
        RepairPlan plan = new RepairPlan();

        if (analysis.getRootCause() == RootCause.CODE_ISSUE) {
            plan.addMeasure(new CodeOptimizationMeasure());
        } else if (analysis.getRootCause() == RootCause.CONFIGURATION_ISSUE) {
            plan.addMeasure(new ConfigurationOptimizationMeasure());
        } else if (analysis.getRootCause() == RootCause.RESOURCE_ISSUE) {
            plan.addMeasure(new ResourceOptimizationMeasure());
        }

        return plan;
    }
}

@Component
public class PreventiveMonitoringService {

    @Autowired
    private MetricsCollector metricsCollector;

    @Autowired
    private AnomalyDetectionService anomalyDetection;

    /**
     * 预防性监控
     */
    @Scheduled(fixedRate = 60000)
    public void preventiveMonitoring() {
        // 1. 收集系统指标
        SystemMetrics metrics = metricsCollector.collectSystemMetrics();

        // 2. 异常检测
        List<Anomaly> anomalies = anomalyDetection.detectAnomalies(metrics);

        // 3. 风险评估
        List<Risk> risks = assessRisks(anomalies);

        // 4. 预防措施
        executePreventiveMeasures(risks);
    }

    private List<Risk> assessRisks(List<Anomaly> anomalies) {
        List<Risk> risks = new ArrayList<>();

        for (Anomaly anomaly : anomalies) {
            Risk risk = new Risk();
            risk.setAnomaly(anomaly);
            risk.setProbability(calculateRiskProbability(anomaly));
            risk.setImpact(calculateRiskImpact(anomaly));
            risk.setLevel(determineRiskLevel(risk));
            risks.add(risk);
        }

        return risks;
    }

    private void executePreventiveMeasures(List<Risk> risks) {
        for (Risk risk : risks) {
            if (risk.getLevel() == RiskLevel.HIGH) {
                // 执行高优先级预防措施
                executeHighPriorityPreventiveMeasures(risk);
            } else if (risk.getLevel() == RiskLevel.MEDIUM) {
                // 执行中优先级预防措施
                executeMediumPriorityPreventiveMeasures(risk);
            }
        }
    }
}

@Service
public class CapacityPlanningService {

    @Autowired
    private HistoricalDataService historicalData;

    @Autowired
    private GrowthPredictionService growthPrediction;

    /**
     * 容量规划分析
     */
    public CapacityPlan analyzeCapacityPlanning() {
        CapacityPlan plan = new CapacityPlan();

        // 1. 历史数据分析
        HistoricalData data = historicalData.getHistoricalData(12); // 12个月

        // 2. 增长趋势预测
        GrowthTrend trend = growthPrediction.predictGrowthTrend(data);

        // 3. 容量需求计算
        CapacityRequirement requirement = calculateCapacityRequirement(trend);

        // 4. 扩容计划制定
        ScalingPlan scalingPlan = createScalingPlan(requirement);

        plan.setRequirement(requirement);
        plan.setScalingPlan(scalingPlan);
        plan.setTimeline(createTimeline(scalingPlan));

        return plan;
    }

    private CapacityRequirement calculateCapacityRequirement(GrowthTrend trend) {
        CapacityRequirement requirement = new CapacityRequirement();

        // CPU容量需求
        double cpuGrowthRate = trend.getCpuGrowthRate();
        int currentCpuCores = getCurrentCpuCores();
        int requiredCpuCores = (int) (currentCpuCores * (1 + cpuGrowthRate));
        requirement.setCpuCores(requiredCpuCores);

        // 内存容量需求
        double memoryGrowthRate = trend.getMemoryGrowthRate();
        long currentMemory = getCurrentMemory();
        long requiredMemory = (long) (currentMemory * (1 + memoryGrowthRate));
        requirement.setMemory(requiredMemory);

        // 存储容量需求
        double storageGrowthRate = trend.getStorageGrowthRate();
        long currentStorage = getCurrentStorage();
        long requiredStorage = (long) (currentStorage * (1 + storageGrowthRate));
        requirement.setStorage(requiredStorage);

        return requirement;
    }
}