Performance Optimization Guide

This guide covers performance optimization strategies for Supernal Coding integrations, including caching, connection pooling, batch processing, and monitoring techniques.

Overview

Performance optimization ensures your compliance integrations run efficiently at scale. This guide covers:

• Caching strategies and implementation
• Connection pooling and management
• Batch processing optimization
• Query optimization techniques
• Monitoring and profiling
• Scaling considerations

Caching Strategies

Multi-Level Caching

interface CacheConfig {
  l1: MemoryCacheConfig;
  l2: RedisCacheConfig;
  l3: DatabaseCacheConfig;
  ttl: {
    default: number;
    requirements: number;
    compliance: number;
    reports: number;
  };
}

class MultiLevelCache {
  private l1Cache: MemoryCache;
  private l2Cache: RedisCache;
  private l3Cache: DatabaseCache;
  private hitRateTracker: HitRateTracker;

  constructor(config: CacheConfig) {
    this.l1Cache = new MemoryCache(config.l1);
    this.l2Cache = new RedisCache(config.l2);
    this.l3Cache = new DatabaseCache(config.l3);
    this.hitRateTracker = new HitRateTracker();
  }

  async get<T>(key: string, type: string = 'default'): Promise<T | null> {
    const startTime = Date.now();

    try {
      // Try L1 cache first (memory)
      let value = await this.l1Cache.get<T>(key);
      if (value !== null) {
        this.hitRateTracker.recordHit('l1', key, Date.now() - startTime);
        return value;
      }

      // Try L2 cache (Redis)
      value = await this.l2Cache.get<T>(key);
      if (value !== null) {
        // Populate L1 cache
        await this.l1Cache.set(key, value, this.getTTL(type));
        this.hitRateTracker.recordHit('l2', key, Date.now() - startTime);
        return value;
      }

      // Try L3 cache (Database)
      value = await this.l3Cache.get<T>(key);
      if (value !== null) {
        // Populate L2 and L1 caches
        const ttl = this.getTTL(type);
        await Promise.all([
          this.l2Cache.set(key, value, ttl),
          this.l1Cache.set(key, value, ttl),
        ]);
        this.hitRateTracker.recordHit('l3', key, Date.now() - startTime);
        return value;
      }

      this.hitRateTracker.recordMiss(key, Date.now() - startTime);
      return null;
    } catch (error) {
      this.hitRateTracker.recordError(key, error);
      throw error;
    }
  }

  async set<T>(key: string, value: T, type: string = 'default'): Promise<void> {
    const ttl = this.getTTL(type);

    // Set in all cache levels
    await Promise.all([
      this.l1Cache.set(key, value, ttl),
      this.l2Cache.set(key, value, ttl),
      this.l3Cache.set(key, value, ttl),
    ]);
  }

  async invalidate(pattern: string): Promise<void> {
    await Promise.all([
      this.l1Cache.invalidate(pattern),
      this.l2Cache.invalidate(pattern),
      this.l3Cache.invalidate(pattern),
    ]);
  }

  getHitRateStats(): CacheStats {
    return this.hitRateTracker.getStats();
  }

  private getTTL(type: string): number {
    return this.config.ttl[type] || this.config.ttl.default;
  }
}

Smart Cache Warming

class CacheWarmer {
  private cache: MultiLevelCache;
  private scheduler: TaskScheduler;
  private priorityQueue: PriorityQueue<WarmupTask>;

  constructor(cache: MultiLevelCache) {
    this.cache = cache;
    this.scheduler = new TaskScheduler();
    this.priorityQueue = new PriorityQueue();
  }

  scheduleWarmup(pattern: WarmupPattern): void {
    const task: WarmupTask = {
      id: generateId(),
      pattern,
      priority: pattern.priority || 5,
      scheduledTime: Date.now() + (pattern.delay || 0),
      retryCount: 0,
    };

    this.priorityQueue.enqueue(task, task.priority);
    this.scheduler.schedule(task.scheduledTime, () => this.executeWarmup(task));
  }

  private async executeWarmup(task: WarmupTask): Promise<void> {
    try {
      const keys = await this.generateKeysFromPattern(task.pattern);

      // Warm up in batches to avoid overwhelming the system
      const batches = this.createBatches(keys, 50);

      for (const batch of batches) {
        await this.warmupBatch(batch);

        // Small delay between batches
        await this.sleep(100);
      }
    } catch (error) {
      if (task.retryCount < 3) {
        task.retryCount++;
        task.scheduledTime = Date.now() + 1000 * Math.pow(2, task.retryCount);
        this.scheduler.schedule(task.scheduledTime, () =>
          this.executeWarmup(task)
        );
      }
    }
  }

  private async warmupBatch(keys: string[]): Promise<void> {
    const promises = keys.map(async (key) => {
      try {
        // Check if already cached
        const cached = await this.cache.get(key);
        if (cached === null) {
          // Load from source and cache
          const data = await this.loadFromSource(key);
          if (data) {
            await this.cache.set(key, data);
          }
        }
      } catch (error) {
        // Log but don't fail the entire batch
        console.warn(`Failed to warm up key ${key}:`, error);
      }
    });

    await Promise.allSettled(promises);
  }

  private async generateKeysFromPattern(
    pattern: WarmupPattern
  ): Promise<string[]> {
    switch (pattern.type) {
      case 'requirements':
        return this.generateRequirementKeys(pattern);
      case 'compliance':
        return this.generateComplianceKeys(pattern);
      case 'reports':
        return this.generateReportKeys(pattern);
      default:
        return [];
    }
  }
}

Connection Pooling

Database Connection Pool

interface PoolConfig {
  min: number;
  max: number;
  acquireTimeoutMillis: number;
  idleTimeoutMillis: number;
  reapIntervalMillis: number;
  createRetryIntervalMillis: number;
  createTimeoutMillis: number;
}

class DatabaseConnectionPool {
  private pool: Pool<DatabaseConnection>;
  private metrics: PoolMetrics;
  private healthChecker: HealthChecker;

  constructor(config: PoolConfig & DatabaseConfig) {
    this.metrics = new PoolMetrics();
    this.healthChecker = new HealthChecker();

    this.pool = new Pool({
      ...config,
      create: () => this.createConnection(config),
      destroy: (connection) => this.destroyConnection(connection),
      validate: (connection) => this.validateConnection(connection),
    });

    this.setupMonitoring();
  }

  async acquire(): Promise<DatabaseConnection> {
    const startTime = Date.now();

    try {
      const connection = await this.pool.acquire();
      this.metrics.recordAcquisition(Date.now() - startTime);
      return connection;
    } catch (error) {
      this.metrics.recordAcquisitionError();
      throw error;
    }
  }

  async release(connection: DatabaseConnection): Promise<void> {
    try {
      await this.pool.release(connection);
      this.metrics.recordRelease();
    } catch (error) {
      this.metrics.recordReleaseError();
      throw error;
    }
  }

  async query<T>(sql: string, params?: any[]): Promise<T[]> {
    const connection = await this.acquire();

    try {
      const startTime = Date.now();
      const result = await connection.query<T>(sql, params);
      this.metrics.recordQuery(Date.now() - startTime);
      return result;
    } finally {
      await this.release(connection);
    }
  }

  getPoolStats(): PoolStats {
    return {
      size: this.pool.size,
      available: this.pool.available,
      borrowed: this.pool.borrowed,
      invalid: this.pool.invalid,
      pending: this.pool.pending,
      metrics: this.metrics.getStats(),
    };
  }

  private async createConnection(
    config: DatabaseConfig
  ): Promise<DatabaseConnection> {
    const connection = new DatabaseConnection(config);
    await connection.connect();

    // Set connection-level optimizations
    await connection.query('SET statement_timeout = 30000');
    await connection.query('SET lock_timeout = 10000');

    return connection;
  }

  private async validateConnection(
    connection: DatabaseConnection
  ): Promise<boolean> {
    try {
      await connection.query('SELECT 1');
      return true;
    } catch {
      return false;
    }
  }

  private setupMonitoring(): void {
    setInterval(() => {
      const stats = this.getPoolStats();

      // Alert if pool is running low
      if (stats.available < stats.size * 0.2) {
        console.warn('Connection pool running low:', stats);
      }

      // Alert if too many pending requests
      if (stats.pending > 10) {
        console.warn('High number of pending connection requests:', stats);
      }
    }, 30000); // Check every 30 seconds
  }
}

HTTP Connection Pool

class HTTPConnectionPool {
  private agents: Map<string, Agent> = new Map();
  private defaultConfig: AgentConfig;

  constructor(defaultConfig: AgentConfig) {
    this.defaultConfig = defaultConfig;
  }

  getAgent(hostname: string, config?: Partial<AgentConfig>): Agent {
    const key = this.generateKey(hostname, config);

    if (!this.agents.has(key)) {
      const agentConfig = { ...this.defaultConfig, ...config };
      const agent = new Agent({
        keepAlive: true,
        keepAliveMsecs: agentConfig.keepAliveMsecs || 30000,
        maxSockets: agentConfig.maxSockets || 50,
        maxFreeSockets: agentConfig.maxFreeSockets || 10,
        timeout: agentConfig.timeout || 30000,
        scheduling: 'fifo',
      });

      this.agents.set(key, agent);
    }

    return this.agents.get(key)!;
  }

  async makeRequest(options: RequestOptions): Promise<Response> {
    const agent = this.getAgent(options.hostname, options.agentConfig);

    return new Promise((resolve, reject) => {
      const req = request(
        {
          ...options,
          agent,
        },
        (res) => {
          resolve(res);
        }
      );

      req.on('error', reject);

      if (options.timeout) {
        req.setTimeout(options.timeout, () => {
          req.destroy();
          reject(new Error('Request timeout'));
        });
      }

      if (options.body) {
        req.write(options.body);
      }

      req.end();
    });
  }

  getConnectionStats(): Map<string, AgentStats> {
    const stats = new Map<string, AgentStats>();

    for (const [key, agent] of this.agents) {
      stats.set(key, {
        sockets: Object.keys(agent.sockets).length,
        freeSockets: Object.keys(agent.freeSockets).length,
        requests: Object.keys(agent.requests).length,
      });
    }

    return stats;
  }

  cleanup(): void {
    for (const agent of this.agents.values()) {
      agent.destroy();
    }
    this.agents.clear();
  }

  private generateKey(hostname: string, config?: Partial<AgentConfig>): string {
    return `${hostname}:${JSON.stringify(config || {})}`;
  }
}

Batch Processing Optimization

Intelligent Batch Sizing

class AdaptiveBatchProcessor {
  private batchSizeHistory: number[] = [];
  private performanceHistory: BatchPerformance[] = [];
  private currentBatchSize: number;
  private minBatchSize: number = 10;
  private maxBatchSize: number = 1000;

  constructor(initialBatchSize: number = 100) {
    this.currentBatchSize = initialBatchSize;
  }

  async processBatch(
    items: any[],
    processor: BatchProcessor
  ): Promise<BatchResult> {
    const startTime = Date.now();
    const batchSize = Math.min(this.currentBatchSize, items.length);
    const batch = items.slice(0, batchSize);

    try {
      const result = await processor.process(batch);
      const processingTime = Date.now() - startTime;

      // Record performance
      this.recordPerformance({
        batchSize,
        processingTime,
        throughput: batchSize / (processingTime / 1000),
        success: true,
        errorRate: result.errors.length / batchSize,
      });

      // Adjust batch size based on performance
      this.adjustBatchSize();

      return result;
    } catch (error) {
      const processingTime = Date.now() - startTime;

      this.recordPerformance({
        batchSize,
        processingTime,
        throughput: 0,
        success: false,
        errorRate: 1,
      });

      // Reduce batch size on failure
      this.currentBatchSize = Math.max(
        this.minBatchSize,
        Math.floor(this.currentBatchSize * 0.8)
      );

      throw error;
    }
  }

  private recordPerformance(performance: BatchPerformance): void {
    this.performanceHistory.push(performance);
    this.batchSizeHistory.push(performance.batchSize);

    // Keep only recent history
    if (this.performanceHistory.length > 50) {
      this.performanceHistory.shift();
      this.batchSizeHistory.shift();
    }
  }

  private adjustBatchSize(): void {
    if (this.performanceHistory.length < 5) return;

    const recent = this.performanceHistory.slice(-5);
    const avgThroughput =
      recent.reduce((sum, p) => sum + p.throughput, 0) / recent.length;
    const avgErrorRate =
      recent.reduce((sum, p) => sum + p.errorRate, 0) / recent.length;

    // Increase batch size if performance is good
    if (avgThroughput > 50 && avgErrorRate < 0.05) {
      this.currentBatchSize = Math.min(
        this.maxBatchSize,
        Math.floor(this.currentBatchSize * 1.2)
      );
    }
    // Decrease batch size if performance is poor
    else if (avgThroughput < 20 || avgErrorRate > 0.1) {
      this.currentBatchSize = Math.max(
        this.minBatchSize,
        Math.floor(this.currentBatchSize * 0.8)
      );
    }
  }

  getBatchSizeRecommendation(): number {
    return this.currentBatchSize;
  }

  getPerformanceStats(): PerformanceStats {
    if (this.performanceHistory.length === 0) {
      return {
        avgThroughput: 0,
        avgErrorRate: 0,
        optimalBatchSize: this.currentBatchSize,
      };
    }

    const avgThroughput =
      this.performanceHistory.reduce((sum, p) => sum + p.throughput, 0) /
      this.performanceHistory.length;
    const avgErrorRate =
      this.performanceHistory.reduce((sum, p) => sum + p.errorRate, 0) /
      this.performanceHistory.length;

    return {
      avgThroughput,
      avgErrorRate,
      optimalBatchSize: this.currentBatchSize,
    };
  }
}

Parallel Batch Processing

class ParallelBatchProcessor {
  private concurrencyLimit: number;
  private semaphore: Semaphore;
  private metrics: ProcessingMetrics;

  constructor(concurrencyLimit: number = 5) {
    this.concurrencyLimit = concurrencyLimit;
    this.semaphore = new Semaphore(concurrencyLimit);
    this.metrics = new ProcessingMetrics();
  }

  async processAllBatches(
    batches: any[][],
    processor: BatchProcessor
  ): Promise<BatchResult[]> {
    const results: BatchResult[] = new Array(batches.length);

    const promises = batches.map(async (batch, index) => {
      await this.semaphore.acquire();

      try {
        const startTime = Date.now();
        const result = await processor.process(batch);

        this.metrics.recordBatch({
          index,
          size: batch.length,
          processingTime: Date.now() - startTime,
          success: result.success,
        });

        results[index] = result;
      } finally {
        this.semaphore.release();
      }
    });

    await Promise.all(promises);
    return results;
  }

  async processWithBackpressure(
    dataStream: AsyncIterable<any[]>,
    processor: BatchProcessor
  ): Promise<ProcessingResult> {
    const results: BatchResult[] = [];
    let totalProcessed = 0;
    let totalErrors = 0;

    for await (const batch of dataStream) {
      await this.semaphore.acquire();

      try {
        const result = await processor.process(batch);
        results.push(result);

        totalProcessed += batch.length;
        totalErrors += result.errors.length;

        // Apply backpressure if error rate is high
        if (totalErrors / totalProcessed > 0.1) {
          await this.sleep(1000); // Slow down processing
        }
      } finally {
        this.semaphore.release();
      }
    }

    return {
      totalBatches: results.length,
      totalProcessed,
      totalErrors,
      successRate: (totalProcessed - totalErrors) / totalProcessed,
    };
  }

  adjustConcurrency(newLimit: number): void {
    this.concurrencyLimit = newLimit;
    this.semaphore = new Semaphore(newLimit);
  }

  getProcessingStats(): ProcessingStats {
    return this.metrics.getStats();
  }
}

Query Optimization

Query Builder with Optimization

class OptimizedQueryBuilder {
  private indexHints: Map<string, string[]> = new Map();
  private queryCache: Map<string, CachedQuery> = new Map();

  constructor() {
    this.loadIndexHints();
  }

  buildRequirementQuery(filters: QueryFilters): OptimizedQuery {
    const cacheKey = this.generateCacheKey('requirements', filters);
    const cached = this.queryCache.get(cacheKey);

    if (cached && Date.now() - cached.timestamp < 300000) {
      // 5 minutes
      return cached.query;
    }

    let query = this.baseRequirementQuery();

    // Apply filters with optimization
    if (filters.framework) {
      query = this.addFrameworkFilter(query, filters.framework);
    }

    if (filters.status) {
      query = this.addStatusFilter(query, filters.status);
    }

    if (filters.dateRange) {
      query = this.addDateRangeFilter(query, filters.dateRange);
    }

    // Add index hints
    query = this.addIndexHints(query, 'requirements');

    // Optimize joins
    query = this.optimizeJoins(query);

    // Cache the optimized query
    this.queryCache.set(cacheKey, {
      query,
      timestamp: Date.now(),
    });

    return query;
  }

  private addIndexHints(query: OptimizedQuery, table: string): OptimizedQuery {
    const hints = this.indexHints.get(table);
    if (hints) {
      query.hints = hints;
    }
    return query;
  }

  private optimizeJoins(query: OptimizedQuery): OptimizedQuery {
    // Reorder joins based on selectivity
    if (query.joins) {
      query.joins.sort((a, b) => {
        const selectivityA = this.getJoinSelectivity(a);
        const selectivityB = this.getJoinSelectivity(b);
        return selectivityA - selectivityB; // Most selective first
      });
    }

    return query;
  }

  private getJoinSelectivity(join: QueryJoin): number {
    // Estimate selectivity based on join type and conditions
    const selectivityMap = {
      inner: 0.1,
      left: 0.5,
      right: 0.5,
      full: 0.9,
    };

    return selectivityMap[join.type] || 0.5;
  }

  analyzeQueryPerformance(query: OptimizedQuery): QueryAnalysis {
    return {
      estimatedCost: this.estimateQueryCost(query),
      suggestedIndexes: this.suggestIndexes(query),
      optimizationTips: this.getOptimizationTips(query),
    };
  }

  private estimateQueryCost(query: OptimizedQuery): number {
    let cost = 1;

    // Add cost for each table scan
    cost += query.tables.length * 10;

    // Add cost for joins
    if (query.joins) {
      cost += query.joins.length * 50;
    }

    // Add cost for sorting
    if (query.orderBy) {
      cost += 20;
    }

    // Add cost for grouping
    if (query.groupBy) {
      cost += 30;
    }

    return cost;
  }
}

Result Set Optimization

class ResultSetOptimizer {
  private compressionEnabled: boolean;
  private streamingThreshold: number;

  constructor(config: OptimizerConfig) {
    this.compressionEnabled = config.compression || false;
    this.streamingThreshold = config.streamingThreshold || 1000;
  }

  async optimizeResults<T>(
    results: T[],
    options: OptimizationOptions
  ): Promise<OptimizedResults<T>> {
    // Use streaming for large result sets
    if (results.length > this.streamingThreshold) {
      return this.streamResults(results, options);
    }

    // Apply pagination
    if (options.pagination) {
      results = this.applyPagination(results, options.pagination);
    }

    // Apply field selection
    if (options.fields) {
      results = this.selectFields(results, options.fields);
    }

    // Apply compression
    if (this.compressionEnabled && results.length > 100) {
      const compressed = await this.compressResults(results);
      return {
        data: compressed.data,
        metadata: {
          compressed: true,
          originalSize: compressed.originalSize,
          compressedSize: compressed.compressedSize,
          compressionRatio: compressed.compressionRatio,
        },
      };
    }

    return {
      data: results,
      metadata: {
        compressed: false,
        count: results.length,
      },
    };
  }

  private streamResults<T>(
    results: T[],
    options: OptimizationOptions
  ): OptimizedResults<T> {
    const stream = new ReadableStream({
      start(controller) {
        let index = 0;

        const pushChunk = () => {
          const chunkSize = options.chunkSize || 100;
          const chunk = results.slice(index, index + chunkSize);

          if (chunk.length === 0) {
            controller.close();
            return;
          }

          controller.enqueue(chunk);
          index += chunkSize;

          // Use setTimeout to avoid blocking
          setTimeout(pushChunk, 0);
        };

        pushChunk();
      },
    });

    return {
      data: stream as any,
      metadata: {
        streaming: true,
        totalCount: results.length,
        chunkSize: options.chunkSize || 100,
      },
    };
  }

  private applyPagination<T>(results: T[], pagination: PaginationOptions): T[] {
    const offset = (pagination.page - 1) * pagination.limit;
    return results.slice(offset, offset + pagination.limit);
  }

  private selectFields<T>(results: T[], fields: string[]): Partial<T>[] {
    return results.map((item) => {
      const selected: Partial<T> = {};

      for (const field of fields) {
        if (field in item) {
          selected[field as keyof T] = item[field as keyof T];
        }
      }

      return selected;
    });
  }

  private async compressResults<T>(results: T[]): Promise<CompressionResult> {
    const originalData = JSON.stringify(results);
    const originalSize = Buffer.byteLength(originalData, 'utf8');

    const compressed = await this.compress(originalData);
    const compressedSize = compressed.length;

    return {
      data: compressed,
      originalSize,
      compressedSize,
      compressionRatio: compressedSize / originalSize,
    };
  }
}

Performance Monitoring

Real-Time Performance Metrics

class PerformanceMonitor {
  private metrics: Map<string, Metric[]> = new Map();
  private alerts: AlertManager;
  private thresholds: PerformanceThresholds;

  constructor(thresholds: PerformanceThresholds) {
    this.thresholds = thresholds;
    this.alerts = new AlertManager();
    this.startMonitoring();
  }

  recordMetric(
    name: string,
    value: number,
    tags?: Record<string, string>
  ): void {
    const metric: Metric = {
      name,
      value,
      timestamp: Date.now(),
      tags: tags || {},
    };

    if (!this.metrics.has(name)) {
      this.metrics.set(name, []);
    }

    const metrics = this.metrics.get(name)!;
    metrics.push(metric);

    // Keep only recent metrics (last hour)
    const oneHourAgo = Date.now() - 60 * 60 * 1000;
    this.metrics.set(
      name,
      metrics.filter((m) => m.timestamp > oneHourAgo)
    );

    // Check thresholds
    this.checkThresholds(name, value);
  }

  getMetricStats(name: string, timeRange?: TimeRange): MetricStats {
    const metrics = this.metrics.get(name) || [];
    const filtered = timeRange
      ? metrics.filter(
          (m) => m.timestamp >= timeRange.start && m.timestamp <= timeRange.end
        )
      : metrics;

    if (filtered.length === 0) {
      return { count: 0, avg: 0, min: 0, max: 0, p95: 0, p99: 0 };
    }

    const values = filtered.map((m) => m.value).sort((a, b) => a - b);
    const sum = values.reduce((a, b) => a + b, 0);

    return {
      count: values.length,
      avg: sum / values.length,
      min: values[0],
      max: values[values.length - 1],
      p95: this.percentile(values, 0.95),
      p99: this.percentile(values, 0.99),
    };
  }

  private checkThresholds(metricName: string, value: number): void {
    const threshold = this.thresholds[metricName];
    if (!threshold) return;

    if (value > threshold.critical) {
      this.alerts.sendAlert({
        level: 'critical',
        metric: metricName,
        value,
        threshold: threshold.critical,
        message: `${metricName} exceeded critical threshold`,
      });
    } else if (value > threshold.warning) {
      this.alerts.sendAlert({
        level: 'warning',
        metric: metricName,
        value,
        threshold: threshold.warning,
        message: `${metricName} exceeded warning threshold`,
      });
    }
  }

  private percentile(values: number[], p: number): number {
    const index = Math.ceil(values.length * p) - 1;
    return values[Math.max(0, index)];
  }

  private startMonitoring(): void {
    // Monitor system metrics
    setInterval(() => {
      const usage = process.memoryUsage();
      this.recordMetric('memory.heap_used', usage.heapUsed);
      this.recordMetric('memory.heap_total', usage.heapTotal);
      this.recordMetric('memory.external', usage.external);

      const cpuUsage = process.cpuUsage();
      this.recordMetric('cpu.user', cpuUsage.user);
      this.recordMetric('cpu.system', cpuUsage.system);
    }, 5000);
  }
}

Performance Profiling

class PerformanceProfiler {
  private profiles: Map<string, Profile> = new Map();
  private activeProfiles: Map<string, ProfileSession> = new Map();

  startProfile(name: string): string {
    const sessionId = generateId();
    const session: ProfileSession = {
      id: sessionId,
      name,
      startTime: Date.now(),
      markers: [],
      memorySnapshots: [],
    };

    this.activeProfiles.set(sessionId, session);

    // Take initial memory snapshot
    session.memorySnapshots.push({
      timestamp: Date.now(),
      usage: process.memoryUsage(),
    });

    return sessionId;
  }

  addMarker(sessionId: string, label: string, data?: any): void {
    const session = this.activeProfiles.get(sessionId);
    if (!session) return;

    session.markers.push({
      label,
      timestamp: Date.now(),
      data,
    });

    // Take memory snapshot at marker
    session.memorySnapshots.push({
      timestamp: Date.now(),
      usage: process.memoryUsage(),
    });
  }

  endProfile(sessionId: string): Profile {
    const session = this.activeProfiles.get(sessionId);
    if (!session) {
      throw new Error(`Profile session ${sessionId} not found`);
    }

    const profile: Profile = {
      ...session,
      endTime: Date.now(),
      duration: Date.now() - session.startTime,
      analysis: this.analyzeProfile(session),
    };

    this.profiles.set(sessionId, profile);
    this.activeProfiles.delete(sessionId);

    return profile;
  }

  private analyzeProfile(session: ProfileSession): ProfileAnalysis {
    const memoryGrowth = this.calculateMemoryGrowth(session.memorySnapshots);
    const bottlenecks = this.identifyBottlenecks(session.markers);

    return {
      memoryGrowth,
      bottlenecks,
      recommendations: this.generateRecommendations(memoryGrowth, bottlenecks),
    };
  }

  private calculateMemoryGrowth(snapshots: MemorySnapshot[]): MemoryGrowth {
    if (snapshots.length < 2) {
      return { growth: 0, rate: 0, peak: 0 };
    }

    const first = snapshots[0];
    const last = snapshots[snapshots.length - 1];
    const peak = Math.max(...snapshots.map((s) => s.usage.heapUsed));

    const growth = last.usage.heapUsed - first.usage.heapUsed;
    const duration = last.timestamp - first.timestamp;
    const rate = growth / (duration / 1000); // bytes per second

    return { growth, rate, peak };
  }

  private identifyBottlenecks(markers: ProfileMarker[]): Bottleneck[] {
    const bottlenecks: Bottleneck[] = [];

    for (let i = 1; i < markers.length; i++) {
      const duration = markers[i].timestamp - markers[i - 1].timestamp;

      if (duration > 1000) {
        // More than 1 second
        bottlenecks.push({
          operation: `${markers[i - 1].label} -> ${markers[i].label}`,
          duration,
          severity: duration > 5000 ? 'high' : 'medium',
        });
      }
    }

    return bottlenecks;
  }

  generateReport(sessionId: string): PerformanceReport {
    const profile = this.profiles.get(sessionId);
    if (!profile) {
      throw new Error(`Profile ${sessionId} not found`);
    }

    return {
      summary: {
        duration: profile.duration,
        memoryGrowth: profile.analysis.memoryGrowth.growth,
        bottleneckCount: profile.analysis.bottlenecks.length,
      },
      timeline: this.generateTimeline(profile),
      recommendations: profile.analysis.recommendations,
    };
  }
}

Scaling Strategies

Horizontal Scaling

class HorizontalScaler {
  private loadBalancer: LoadBalancer;
  private instanceManager: InstanceManager;
  private metrics: ScalingMetrics;

  constructor() {
    this.loadBalancer = new LoadBalancer();
    this.instanceManager = new InstanceManager();
    this.metrics = new ScalingMetrics();
  }

  async scaleOut(targetInstances: number): Promise<ScalingResult> {
    const currentInstances = await this.instanceManager.getActiveInstances();
    const instancesToAdd = targetInstances - currentInstances.length;

    if (instancesToAdd <= 0) {
      return { success: true, message: 'No scaling needed' };
    }

    const newInstances: Instance[] = [];

    for (let i = 0; i < instancesToAdd; i++) {
      try {
        const instance = await this.instanceManager.createInstance();
        await this.waitForInstanceReady(instance);
        await this.loadBalancer.addInstance(instance);

        newInstances.push(instance);
      } catch (error) {
        // Clean up any created instances on failure
        await this.cleanupInstances(newInstances);
        return {
          success: false,
          message: `Failed to scale out: ${error.message}`,
        };
      }
    }

    return {
      success: true,
      message: `Successfully scaled out to ${targetInstances} instances`,
      newInstances,
    };
  }

  async scaleIn(targetInstances: number): Promise<ScalingResult> {
    const currentInstances = await this.instanceManager.getActiveInstances();
    const instancesToRemove = currentInstances.length - targetInstances;

    if (instancesToRemove <= 0) {
      return { success: true, message: 'No scaling needed' };
    }

    // Select instances to remove (prefer least loaded)
    const instancesToTerminate = await this.selectInstancesForTermination(
      currentInstances,
      instancesToRemove
    );

    for (const instance of instancesToTerminate) {
      try {
        // Gracefully drain the instance
        await this.drainInstance(instance);

        // Remove from load balancer
        await this.loadBalancer.removeInstance(instance);

        // Terminate the instance
        await this.instanceManager.terminateInstance(instance);
      } catch (error) {
        console.error(`Failed to terminate instance ${instance.id}:`, error);
      }
    }

    return {
      success: true,
      message: `Successfully scaled in to ${targetInstances} instances`,
    };
  }

  private async selectInstancesForTermination(
    instances: Instance[],
    count: number
  ): Promise<Instance[]> {
    // Get load metrics for each instance
    const instanceLoads = await Promise.all(
      instances.map(async (instance) => ({
        instance,
        load: await this.metrics.getInstanceLoad(instance.id),
      }))
    );

    // Sort by load (ascending) and select least loaded instances
    instanceLoads.sort((a, b) => a.load - b.load);

    return instanceLoads.slice(0, count).map((item) => item.instance);
  }

  private async drainInstance(instance: Instance): Promise<void> {
    // Stop accepting new requests
    await this.loadBalancer.setInstanceDraining(instance, true);

    // Wait for existing requests to complete
    let activeConnections = await this.getActiveConnections(instance);
    const maxWaitTime = 60000; // 1 minute
    const startTime = Date.now();

    while (activeConnections > 0 && Date.now() - startTime < maxWaitTime) {
      await this.sleep(1000);
      activeConnections = await this.getActiveConnections(instance);
    }

    if (activeConnections > 0) {
      console.warn(
        `Instance ${instance.id} still has ${activeConnections} active connections after drain timeout`
      );
    }
  }
}

Related Documentation

• Integration Architecture - System architecture
• Security Guide - Security considerations
• Custom Backends - Backend integration
• Sync Configuration - Data synchronization

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Performance optimization is crucial for scalable compliance integrations. This guide provides comprehensive strategies for optimizing every aspect of your integration performance.