ruflo/memory/docs/performance.md

Performance Guide

This guide covers performance optimization, monitoring, and troubleshooting for the SPARC Memory Bank system.

Performance Characteristics

Backend Performance Comparison

Metric	SQLite	Markdown
Throughput
Store operations/sec	10,000+	1,000+
Read operations/sec	50,000+	5,000+
Query operations/sec	25,000+	1,000+
Latency (ms)
Single store	0.1-1	1-5
Single read	0.05-0.5	0.5-2
Simple query	1-10	10-50
Complex query	5-50	50-500
Vector search	10-100	100-1000
Scalability
Max items	281 TB	Filesystem limit
Memory usage	Low	Medium
Storage overhead	10-20%	50-100%

Performance by Data Size

SQLite Performance

// Performance test results for SQLite backend
const performanceTests = {
  small: {
    itemCount: 1000,
    avgItemSize: '1KB',
    storeLatency: '0.1ms',
    queryLatency: '0.5ms',
    memoryUsage: '50MB'
  },
  medium: {
    itemCount: 100000,
    avgItemSize: '5KB',
    storeLatency: '0.5ms',
    queryLatency: '2ms',
    memoryUsage: '200MB'
  },
  large: {
    itemCount: 1000000,
    avgItemSize: '10KB',
    storeLatency: '1ms',
    queryLatency: '10ms',
    memoryUsage: '1GB'
  },
  enterprise: {
    itemCount: 10000000,
    avgItemSize: '20KB',
    storeLatency: '2ms',
    queryLatency: '25ms',
    memoryUsage: '4GB'
  }
};

Optimization Strategies

SQLite Optimization

Configuration Tuning

const highPerformanceConfig = {
  backend: 'sqlite',
  storage: {
    path: './performance.db',
    options: {
      // Memory and I/O optimization
      journalMode: 'WAL',            // Faster concurrent access
      synchronous: 'NORMAL',         // Balance safety and speed
      cacheSize: 20000,              // 20k pages ≈ 80MB cache
      mmapSize: 2147483648,          // 2GB memory mapping
      tempStore: 'MEMORY',           // Store temp data in memory
      
      // Connection optimization
      maxConnections: 50,            // Higher concurrency
      busyTimeout: 60000,            // Longer wait for locks
      idleTimeout: 300000,           // Keep connections longer
      
      // WAL optimization
      enableWalCheckpoint: true,
      walCheckpointInterval: 60000,  // More frequent checkpoints
      walCheckpointPages: 5000,      // Smaller checkpoint batches
      
      // Query optimization
      pragmaOptimize: true,
      optimizeInterval: 1800000,     // 30 minutes
      
      // Performance monitoring
      logQueries: false,             // Disable in production
      queryTimeout: 30000,           // 30 second timeout
      explainQueryPlan: false        // Disable unless debugging
    }
  },
  cache: {
    enabled: true,
    maxSize: 1073741824,            // 1GB application cache
    strategy: 'adaptive',           // Adapts to access patterns
    compressionEnabled: true,       // Compress large items
    compressionThreshold: 1024      // Compress items > 1KB
  }
};

Index Optimization

// Custom indexes for specific query patterns
const indexOptimizedConfig = {
  // ... base config
  indexing: {
    enabled: true,
    customIndexes: [
      {
        name: 'idx_category_namespace_updated',
        fields: ['category', 'namespace', 'updated'],
        type: 'btree'
      },
      {
        name: 'idx_metadata_status',
        fields: ['json_extract(metadata, "$.status")'],
        type: 'btree'
      },
      {
        name: 'idx_metadata_priority_created',
        fields: ['json_extract(metadata, "$.priority")', 'created'],
        type: 'btree'
      },
      {
        name: 'idx_tags_gin',
        fields: ['tags'],
        type: 'gin' // For array/JSON operations
      }
    ],
    vectorSearch: {
      enabled: true,
      algorithm: 'hnsw',
      hnsw: {
        m: 32,                      // More connections for better recall
        efConstruction: 400,        // Higher quality index
        efSearch: 100,              // Faster search
        maxM: 32,
        maxM0: 64
      }
    },
    fullTextSearch: {
      enabled: true,
      tokenizer: 'unicode61',
      stemming: true,
      fuzzySearch: true,
      fuzzyDistance: 1            // Lower distance for speed
    }
  }
};

Markdown Optimization

Directory Structure Optimization

const optimizedMarkdownConfig = {
  backend: 'markdown',
  storage: {
    path: './optimized-memory',
    options: {
      // Optimize directory structure
      useNamespaceDirectories: true,
      useCategoryDirectories: true,
      useTimeBasedDirectories: true,
      maxDirectoryDepth: 4,         // Prevent deep nesting
      
      // File optimization
      fileNaming: 'timestamp',      // Faster than slug generation
      maxFilenameLength: 50,        // Shorter filenames
      
      // Content optimization
      frontmatterFormat: 'yaml',    // Faster parsing than JSON
      contentFormat: 'markdown',
      includeTableOfContents: false, // Skip TOC generation
      
      // Caching optimization
      cacheDirectory: './.cache',
      cacheParsedFiles: true,       // Cache parsed frontmatter
      watchForChanges: false,       // Disable if no external edits
      
      // Index optimization
      rebuildIndexInterval: 300000, // 5 minutes
      incrementalUpdates: true,     // Only update changed files
      
      // Git optimization
      gitEnabled: true,
      gitAutoCommit: false,         // Manual commits for batching
      
      // Cleanup optimization
      enableGarbageCollection: true,
      garbageCollectionInterval: 86400000 // Daily
    }
  },
  cache: {
    enabled: true,
    maxSize: 268435456,             // 256MB cache
    strategy: 'lru',                // Simple and effective for files
    ttl: 1800000                    // 30 minutes
  }
};

Cache Optimization

Strategy Selection

// Different cache strategies for different workloads
const cacheConfigurations = {
  // Read-heavy workload
  readHeavy: {
    enabled: true,
    maxSize: 2147483648,           // 2GB
    strategy: 'lru',               // Least Recently Used
    ttl: 3600000,                  // 1 hour
    compressionEnabled: true,
    compressionThreshold: 512
  },
  
  // Write-heavy workload
  writeHeavy: {
    enabled: true,
    maxSize: 536870912,            // 512MB (smaller cache)
    strategy: 'lfu',               // Least Frequently Used
    ttl: 1800000,                  // 30 minutes (shorter TTL)
    compressionEnabled: false,     // Faster writes
    lfu: {
      windowSize: 1000,
      decayFactor: 0.9
    }
  },
  
  // Mixed workload
  balanced: {
    enabled: true,
    maxSize: 1073741824,           // 1GB
    strategy: 'adaptive',          // Adapts to patterns
    ttl: 2700000,                  // 45 minutes
    compressionEnabled: true,
    adaptive: {
      learningRate: 0.1,
      performanceThreshold: 50     // ms
    }
  },
  
  // Memory-constrained environment
  lowMemory: {
    enabled: true,
    maxSize: 67108864,             // 64MB
    strategy: 'fifo',              // Simple and memory-efficient
    ttl: 900000,                   // 15 minutes
    compressionEnabled: true,
    compressionThreshold: 256      // Aggressive compression
  }
};

Cache Warming

// Pre-populate cache with frequently accessed data
async function warmCache(memory: MemoryManager): Promise<void> {
  console.log('Warming cache...');
  
  // Load frequently accessed categories
  const hotCategories = ['task', 'implementation', 'research'];
  
  for (const category of hotCategories) {
    const items = await memory.query({
      category,
      limit: 100,
      sortBy: 'updated',
      sortOrder: 'desc'
    });
    
    console.log(`Loaded ${items.length} ${category} items`);
  }
  
  // Load recent items
  const recentItems = await memory.query({
    dateRange: {
      start: new Date(Date.now() - 7 * 24 * 60 * 60 * 1000), // Last week
      field: 'updated'
    },
    limit: 500
  });
  
  console.log(`Cache warmed with ${recentItems.length} recent items`);
}

Performance Monitoring

Real-time Metrics

class PerformanceMonitor {
  private metrics: Map<string, PerformanceMetric> = new Map();
  
  constructor(private memory: MemoryManager) {
    this.startMonitoring();
  }
  
  private startMonitoring(): void {
    // Collect metrics every 30 seconds
    setInterval(async () => {
      await this.collectMetrics();
    }, 30000);
  }
  
  private async collectMetrics(): Promise<void> {
    const stats = await this.memory.getStatistics();
    
    const metric: PerformanceMetric = {
      timestamp: new Date(),
      operations: {
        totalOperations: stats.operations.total,
        operationsPerSecond: this.calculateOPS(stats),
        averageLatency: stats.performance.averageQueryTime,
        p95Latency: stats.performance.p95QueryTime,
        errorRate: stats.operations.errors / stats.operations.total
      },
      cache: {
        hitRate: stats.cacheStats.hitRate,
        memoryUsage: stats.cacheStats.memoryUsage,
        evictions: stats.cacheStats.evictions
      },
      storage: {
        totalItems: stats.totalItems,
        storageSize: stats.storageSize,
        indexSize: stats.indexSize
      },
      memory: {
        heapUsed: process.memoryUsage().heapUsed,
        heapTotal: process.memoryUsage().heapTotal,
        external: process.memoryUsage().external
      }
    };
    
    this.metrics.set(metric.timestamp.toISOString(), metric);
    
    // Alert on performance issues
    this.checkAlerts(metric);
  }
  
  private checkAlerts(metric: PerformanceMetric): void {
    if (metric.operations.averageLatency > 100) {
      console.warn(`High latency detected: ${metric.operations.averageLatency}ms`);
    }
    
    if (metric.cache.hitRate < 0.8) {
      console.warn(`Low cache hit rate: ${metric.cache.hitRate.toFixed(2)}`);
    }
    
    if (metric.operations.errorRate > 0.01) {
      console.error(`High error rate: ${(metric.operations.errorRate * 100).toFixed(2)}%`);
    }
  }
  
  public getMetrics(since?: Date): PerformanceMetric[] {
    const cutoff = since || new Date(Date.now() - 60 * 60 * 1000); // Last hour
    return Array.from(this.metrics.values())
      .filter(m => m.timestamp >= cutoff)
      .sort((a, b) => a.timestamp.getTime() - b.timestamp.getTime());
  }
}

interface PerformanceMetric {
  timestamp: Date;
  operations: {
    totalOperations: number;
    operationsPerSecond: number;
    averageLatency: number;
    p95Latency: number;
    errorRate: number;
  };
  cache: {
    hitRate: number;
    memoryUsage: number;
    evictions: number;
  };
  storage: {
    totalItems: number;
    storageSize: number;
    indexSize: number;
  };
  memory: {
    heapUsed: number;
    heapTotal: number;
    external: number;
  };
}

Performance Profiling

// Enable detailed profiling for performance analysis
const profilingConfig = {
  backend: 'sqlite',
  storage: {
    path: './profiling.db',
    options: {
      logQueries: true,
      explainQueryPlan: true,
      queryTimeout: 10000
    }
  },
  system: {
    logging: {
      level: 'debug',
      enableQueryProfiling: true,
      enableSlowQueryLog: true,
      slowQueryThreshold: 50, // Log queries > 50ms
      enableMemoryProfiling: true
    }
  }
};

// Custom profiling wrapper
class ProfiledMemoryManager extends MemoryManager {
  async store(data: Partial<MemoryItem>): Promise<MemoryItem> {
    const startTime = performance.now();
    try {
      const result = await super.store(data);
      const duration = performance.now() - startTime;
      
      if (duration > 10) { // Log slow operations
        console.log(`Slow store operation: ${duration.toFixed(2)}ms`);
      }
      
      return result;
    } catch (error) {
      const duration = performance.now() - startTime;
      console.error(`Store operation failed after ${duration.toFixed(2)}ms:`, error);
      throw error;
    }
  }
  
  async query(query: MemoryQuery): Promise<MemoryItem[]> {
    const startTime = performance.now();
    const queryStr = JSON.stringify(query);
    
    try {
      const result = await super.query(query);
      const duration = performance.now() - startTime;
      
      console.log(`Query completed: ${duration.toFixed(2)}ms, ${result.length} results`);
      if (duration > 100) {
        console.warn(`Slow query detected: ${queryStr}`);
      }
      
      return result;
    } catch (error) {
      const duration = performance.now() - startTime;
      console.error(`Query failed after ${duration.toFixed(2)}ms: ${queryStr}`, error);
      throw error;
    }
  }
}

Load Testing

Benchmark Scripts

// Performance benchmark suite
class MemoryBenchmark {
  constructor(private memory: MemoryManager) {}
  
  async runBenchmarks(): Promise<BenchmarkResults> {
    console.log('Starting performance benchmarks...');
    
    const results: BenchmarkResults = {
      store: await this.benchmarkStore(),
      retrieve: await this.benchmarkRetrieve(),
      query: await this.benchmarkQuery(),
      vectorSearch: await this.benchmarkVectorSearch(),
      batch: await this.benchmarkBatch()
    };
    
    this.printResults(results);
    return results;
  }
  
  private async benchmarkStore(): Promise<OperationBenchmark> {
    const iterations = 1000;
    const startTime = performance.now();
    const errors: Error[] = [];
    
    for (let i = 0; i < iterations; i++) {
      try {
        await this.memory.store({
          category: 'benchmark',
          content: `Benchmark item ${i}`,
          tags: ['benchmark', 'test'],
          metadata: { iteration: i }
        });
      } catch (error) {
        errors.push(error as Error);
      }
    }
    
    const duration = performance.now() - startTime;
    
    return {
      operation: 'store',
      iterations,
      duration,
      operationsPerSecond: iterations / (duration / 1000),
      averageLatency: duration / iterations,
      errors: errors.length,
      errorRate: errors.length / iterations
    };
  }
  
  private async benchmarkRetrieve(): Promise<OperationBenchmark> {
    // First, create items to retrieve
    const items: MemoryItem[] = [];
    for (let i = 0; i < 100; i++) {
      const item = await this.memory.store({
        category: 'retrieve-test',
        content: `Retrieve test item ${i}`,
        tags: ['retrieve', 'test']
      });
      items.push(item);
    }
    
    const iterations = 1000;
    const startTime = performance.now();
    const errors: Error[] = [];
    
    for (let i = 0; i < iterations; i++) {
      try {
        const randomItem = items[Math.floor(Math.random() * items.length)];
        await this.memory.retrieve(randomItem.id);
      } catch (error) {
        errors.push(error as Error);
      }
    }
    
    const duration = performance.now() - startTime;
    
    return {
      operation: 'retrieve',
      iterations,
      duration,
      operationsPerSecond: iterations / (duration / 1000),
      averageLatency: duration / iterations,
      errors: errors.length,
      errorRate: errors.length / iterations
    };
  }
  
  private async benchmarkQuery(): Promise<OperationBenchmark> {
    const iterations = 100;
    const startTime = performance.now();
    const errors: Error[] = [];
    
    const queries = [
      { category: 'benchmark' },
      { tags: ['test'] },
      { dateRange: { start: new Date(Date.now() - 86400000), field: 'created' as const } },
      { fullText: 'benchmark item' }
    ];
    
    for (let i = 0; i < iterations; i++) {
      try {
        const query = queries[i % queries.length];
        await this.memory.query(query);
      } catch (error) {
        errors.push(error as Error);
      }
    }
    
    const duration = performance.now() - startTime;
    
    return {
      operation: 'query',
      iterations,
      duration,
      operationsPerSecond: iterations / (duration / 1000),
      averageLatency: duration / iterations,
      errors: errors.length,
      errorRate: errors.length / iterations
    };
  }
  
  private async benchmarkVectorSearch(): Promise<OperationBenchmark> {
    const iterations = 50;
    const startTime = performance.now();
    const errors: Error[] = [];
    
    for (let i = 0; i < iterations; i++) {
      try {
        await this.memory.vectorSearch({
          text: 'performance optimization database',
          threshold: 0.7,
          limit: 10
        });
      } catch (error) {
        errors.push(error as Error);
      }
    }
    
    const duration = performance.now() - startTime;
    
    return {
      operation: 'vectorSearch',
      iterations,
      duration,
      operationsPerSecond: iterations / (duration / 1000),
      averageLatency: duration / iterations,
      errors: errors.length,
      errorRate: errors.length / iterations
    };
  }
  
  private async benchmarkBatch(): Promise<OperationBenchmark> {
    const batchSize = 100;
    const iterations = 10;
    const startTime = performance.now();
    const errors: Error[] = [];
    
    for (let i = 0; i < iterations; i++) {
      try {
        const items = Array.from({ length: batchSize }, (_, j) => ({
          category: 'batch-test',
          content: `Batch item ${i}-${j}`,
          tags: ['batch', 'test']
        }));
        
        await this.memory.storeBatch(items);
      } catch (error) {
        errors.push(error as Error);
      }
    }
    
    const duration = performance.now() - startTime;
    const totalOperations = iterations * batchSize;
    
    return {
      operation: 'batch',
      iterations: totalOperations,
      duration,
      operationsPerSecond: totalOperations / (duration / 1000),
      averageLatency: duration / totalOperations,
      errors: errors.length,
      errorRate: errors.length / iterations
    };
  }
  
  private printResults(results: BenchmarkResults): void {
    console.log('\n=== BENCHMARK RESULTS ===\n');
    
    Object.values(results).forEach(result => {
      console.log(`${result.operation.toUpperCase()}:`);
      console.log(`  Operations/sec: ${result.operationsPerSecond.toFixed(0)}`);
      console.log(`  Avg latency: ${result.averageLatency.toFixed(2)}ms`);
      console.log(`  Error rate: ${(result.errorRate * 100).toFixed(2)}%`);
      console.log('');
    });
  }
}

interface OperationBenchmark {
  operation: string;
  iterations: number;
  duration: number;
  operationsPerSecond: number;
  averageLatency: number;
  errors: number;
  errorRate: number;
}

interface BenchmarkResults {
  store: OperationBenchmark;
  retrieve: OperationBenchmark;
  query: OperationBenchmark;
  vectorSearch: OperationBenchmark;
  batch: OperationBenchmark;
}

Stress Testing

// Concurrent load testing
class StressTest {
  constructor(private memory: MemoryManager) {}
  
  async runStressTest(options: StressTestOptions): Promise<StressTestResults> {
    console.log(`Starting stress test: ${options.concurrency} concurrent users, ${options.duration}ms duration`);
    
    const startTime = Date.now();
    const workers: Promise<WorkerResults>[] = [];
    
    // Spawn concurrent workers
    for (let i = 0; i < options.concurrency; i++) {
      workers.push(this.runWorker(i, options));
    }
    
    // Wait for all workers to complete
    const results = await Promise.all(workers);
    const endTime = Date.now();
    
    // Aggregate results
    const aggregated = this.aggregateResults(results, endTime - startTime);
    this.printStressResults(aggregated);
    
    return aggregated;
  }
  
  private async runWorker(workerId: number, options: StressTestOptions): Promise<WorkerResults> {
    const startTime = Date.now();
    const operations: OperationResult[] = [];
    
    while (Date.now() - startTime < options.duration) {
      const operationType = this.selectOperation(options.operationWeights);
      const operationStart = performance.now();
      
      try {
        await this.executeOperation(operationType, workerId);
        operations.push({
          type: operationType,
          duration: performance.now() - operationStart,
          success: true
        });
      } catch (error) {
        operations.push({
          type: operationType,
          duration: performance.now() - operationStart,
          success: false,
          error: error as Error
        });
      }
      
      // Optional delay between operations
      if (options.operationDelay > 0) {
        await new Promise(resolve => setTimeout(resolve, options.operationDelay));
      }
    }
    
    return {
      workerId,
      operations,
      duration: Date.now() - startTime
    };
  }
  
  private selectOperation(weights: Record<string, number>): string {
    const total = Object.values(weights).reduce((sum, weight) => sum + weight, 0);
    let random = Math.random() * total;
    
    for (const [operation, weight] of Object.entries(weights)) {
      random -= weight;
      if (random <= 0) {
        return operation;
      }
    }
    
    return Object.keys(weights)[0]; // Fallback
  }
  
  private async executeOperation(type: string, workerId: number): Promise<void> {
    switch (type) {
      case 'store':
        await this.memory.store({
          category: 'stress-test',
          content: `Stress test item from worker ${workerId}`,
          tags: ['stress', 'test'],
          metadata: { workerId }
        });
        break;
        
      case 'query':
        await this.memory.query({
          category: 'stress-test',
          limit: 10
        });
        break;
        
      case 'retrieve':
        // Retrieve a random item (simplified)
        const items = await this.memory.query({
          category: 'stress-test',
          limit: 1
        });
        if (items.length > 0) {
          await this.memory.retrieve(items[0].id);
        }
        break;
        
      default:
        throw new Error(`Unknown operation type: ${type}`);
    }
  }
  
  private aggregateResults(workerResults: WorkerResults[], totalDuration: number): StressTestResults {
    const allOperations = workerResults.flatMap(w => w.operations);
    const byType = new Map<string, OperationResult[]>();
    
    allOperations.forEach(op => {
      if (!byType.has(op.type)) {
        byType.set(op.type, []);
      }
      byType.get(op.type)!.push(op);
    });
    
    const typeStats = new Map<string, OperationStats>();
    
    byType.forEach((operations, type) => {
      const successful = operations.filter(op => op.success);
      const failed = operations.filter(op => !op.success);
      const durations = successful.map(op => op.duration);
      
      typeStats.set(type, {
        total: operations.length,
        successful: successful.length,
        failed: failed.length,
        successRate: successful.length / operations.length,
        averageLatency: durations.reduce((sum, d) => sum + d, 0) / durations.length,
        p95Latency: this.percentile(durations, 0.95),
        p99Latency: this.percentile(durations, 0.99),
        throughput: successful.length / (totalDuration / 1000)
      });
    });
    
    return {
      duration: totalDuration,
      workers: workerResults.length,
      totalOperations: allOperations.length,
      operationStats: Object.fromEntries(typeStats),
      overallThroughput: allOperations.length / (totalDuration / 1000),
      overallSuccessRate: allOperations.filter(op => op.success).length / allOperations.length
    };
  }
  
  private percentile(values: number[], p: number): number {
    const sorted = values.slice().sort((a, b) => a - b);
    const index = Math.ceil(sorted.length * p) - 1;
    return sorted[Math.max(0, index)] || 0;
  }
  
  private printStressResults(results: StressTestResults): void {
    console.log('\n=== STRESS TEST RESULTS ===\n');
    console.log(`Duration: ${results.duration}ms`);
    console.log(`Workers: ${results.workers}`);
    console.log(`Total operations: ${results.totalOperations}`);
    console.log(`Overall throughput: ${results.overallThroughput.toFixed(2)} ops/sec`);
    console.log(`Overall success rate: ${(results.overallSuccessRate * 100).toFixed(2)}%\n`);
    
    Object.entries(results.operationStats).forEach(([type, stats]) => {
      console.log(`${type.toUpperCase()}:`);
      console.log(`  Throughput: ${stats.throughput.toFixed(2)} ops/sec`);
      console.log(`  Success rate: ${(stats.successRate * 100).toFixed(2)}%`);
      console.log(`  Avg latency: ${stats.averageLatency.toFixed(2)}ms`);
      console.log(`  P95 latency: ${stats.p95Latency.toFixed(2)}ms`);
      console.log(`  P99 latency: ${stats.p99Latency.toFixed(2)}ms`);
      console.log('');
    });
  }
}

interface StressTestOptions {
  concurrency: number;
  duration: number; // milliseconds
  operationWeights: Record<string, number>;
  operationDelay: number; // milliseconds between operations
}

interface OperationResult {
  type: string;
  duration: number;
  success: boolean;
  error?: Error;
}

interface WorkerResults {
  workerId: number;
  operations: OperationResult[];
  duration: number;
}

interface OperationStats {
  total: number;
  successful: number;
  failed: number;
  successRate: number;
  averageLatency: number;
  p95Latency: number;
  p99Latency: number;
  throughput: number;
}

interface StressTestResults {
  duration: number;
  workers: number;
  totalOperations: number;
  operationStats: Record<string, OperationStats>;
  overallThroughput: number;
  overallSuccessRate: number;
}

Performance Tuning Checklist

Database Optimization

• WAL Mode: Enable for SQLite to improve concurrent access
• Cache Size: Set appropriate cache size based on available memory
• Memory Mapping: Enable mmap for large databases
• Connection Pooling: Configure appropriate pool size
• Index Analysis: Add indexes for frequently queried fields
• Query Optimization: Use EXPLAIN QUERY PLAN to optimize slow queries
• Vacuum: Schedule regular VACUUM operations for SQLite
• Statistics: Update table statistics regularly

Application Cache

• Strategy Selection: Choose appropriate cache strategy for workload
• Size Tuning: Set cache size based on memory constraints
• TTL Configuration: Configure appropriate time-to-live values
• Compression: Enable compression for large items
• Preloading: Implement cache warming for hot data
• Monitoring: Track cache hit rates and eviction patterns

System Optimization

• Memory Allocation: Monitor and optimize memory usage
• I/O Optimization: Use fast storage (NVMe SSD)
• Network Tuning: Optimize for distributed deployments
• CPU Usage: Profile and optimize CPU-intensive operations
• Garbage Collection: Tune GC settings for your runtime
• Concurrency: Optimize concurrent operation limits

Monitoring Setup

• Metrics Collection: Implement comprehensive metrics
• Alerting: Set up alerts for performance degradation
• Logging: Configure appropriate log levels
• Profiling: Enable profiling for performance analysis
• Dashboards: Create monitoring dashboards
• Benchmarking: Establish performance baselines

Troubleshooting Performance Issues

Common Performance Problems

Slow Queries

// Identify slow queries
const slowQueries = await memory.getStatistics().slowQueries;
slowQueries.forEach(query => {
  console.log(`Slow query: ${query.sql}`);
  console.log(`Duration: ${query.duration}ms`);
  console.log(`Rows examined: ${query.rowsExamined}`);
});

// Optimize with indexes
await memory.addIndex('category_namespace', ['category', 'namespace']);

High Memory Usage

// Monitor memory usage
const memoryUsage = process.memoryUsage();
console.log(`Heap used: ${(memoryUsage.heapUsed / 1024 / 1024).toFixed(2)} MB`);
console.log(`Heap total: ${(memoryUsage.heapTotal / 1024 / 1024).toFixed(2)} MB`);

// Reduce cache size if needed
await memory.updateConfig({
  cache: {
    maxSize: 256 * 1024 * 1024 // Reduce to 256MB
  }
});

Low Cache Hit Rate

// Analyze cache performance
const cacheStats = await memory.getCacheStatistics();
if (cacheStats.hitRate < 0.8) {
  console.log('Cache hit rate is low, consider:');
  console.log('- Increasing cache size');
  console.log('- Adjusting cache strategy');
  console.log('- Implementing cache warming');
}

High Lock Contention

// Monitor lock wait times
const lockStats = await memory.getLockStatistics();
if (lockStats.averageWaitTime > 10) {
  console.log('High lock contention detected');
  console.log('Consider increasing connection pool size');
}