Performance Tuning Guide

Optimize SocketCloud for maximum performance in high-throughput financial environments. This guide covers latency reduction, throughput optimization, and resource management strategies.

Performance Benchmarks

SocketCloud achieves industry-leading performance metrics in real-world deployments:

Metric Target Achieved Configuration
Inter-node Latency < 1ms 0.3-0.8ms P2P with libp2p, same datacenter
Cross-region Latency < 50ms 15-45ms Multi-cloud mesh deployment
Operations/Second 1M+ 1.2-1.5M 10-node cluster, CRDT operations
State Sync Latency < 100ms 50-80ms CRDT with delta synchronization
Consensus Latency < 500ms 200-400ms Tendermint BFT, 5-node cluster
Service Discovery < 100ms 30-70ms Kademlia DHT, 1000+ nodes

Latency Optimization

Network Transport Configuration

// Optimize TCP transport for low latency
const transport = new TCPTransport({
  nodeId: 'node-1',
  host: '0.0.0.0',
  port: 4001,
  
  // TCP optimizations
  noDelay: true,              // Disable Nagle's algorithm
  keepAlive: true,            // Enable TCP keep-alive
  keepAliveDelay: 10000,      // 10 second keep-alive interval
  
  // Connection pooling
  maxConnections: 1000,       // Maximum concurrent connections
  connectionTimeout: 5000,    // 5 second connection timeout
  
  // Buffer management
  highWaterMark: 16384,       // 16KB buffer size
  allowHalfOpen: false        // Close on FIN
});

P2P Network Optimization

// Configure libp2p for minimum latency
const p2pConfig = {
  connectionManager: {
    maxConnections: 200,
    minConnections: 50,
    autoDialPeers: true,
    
    // Connection scoring
    peerScore: {
      latencyWeight: 0.5,      // Prioritize low-latency peers
      throughputWeight: 0.3,
      reliabilityWeight: 0.2
    }
  },
  
  // Protocol configuration
  protocols: {
    '/socketcloud/mesh/1.0.0': {
      maxMessageSize: 1048576,  // 1MB max message
      timeout: 1000,            // 1 second timeout
      priority: 100             // High priority
    }
  },
  
  // Transport selection
  transports: [
    tcp({
      maxConnections: 500,
      socketOptions: {
        nodelay: true,
        keepalive: true
      }
    }),
    webRTCStar()  // For browser connectivity
  ]
};

Message Batching

// Batch messages to reduce round trips
class MessageBatcher {
  constructor(options = {}) {
    this.batchSize = options.batchSize || 100;
    this.batchTimeout = options.batchTimeout || 10; // ms
    this.queue = [];
    this.timer = null;
  }
  
  send(message) {
    this.queue.push(message);
    
    if (this.queue.length >= this.batchSize) {
      this.flush();
    } else if (!this.timer) {
      this.timer = setTimeout(() => this.flush(), this.batchTimeout);
    }
  }
  
  flush() {
    if (this.queue.length > 0) {
      const batch = this.queue.splice(0);
      this.transport.sendBatch(batch);
    }
    
    if (this.timer) {
      clearTimeout(this.timer);
      this.timer = null;
    }
  }
}

Throughput Tuning

Parallel Processing

// Configure worker threads for parallel processing
const { Worker } = require('worker_threads');

class ParallelProcessor {
  constructor(workerCount = os.cpus().length) {
    this.workers = [];
    this.taskQueue = [];
    this.busyWorkers = new Set();
    
    // Create worker pool
    for (let i = 0; i < workerCount; i++) {
      const worker = new Worker('./worker.js');
      worker.on('message', (result) => this.handleResult(worker, result));
      this.workers.push(worker);
    }
  }
  
  async process(data) {
    return new Promise((resolve) => {
      const task = { data, resolve };
      const worker = this.getAvailableWorker();
      
      if (worker) {
        this.assignTask(worker, task);
      } else {
        this.taskQueue.push(task);
      }
    });
  }
}

Stream Processing

// High-throughput stream processing
const { Transform } = require('stream');

class ThroughputOptimizer extends Transform {
  constructor(options = {}) {
    super({
      objectMode: true,
      highWaterMark: options.bufferSize || 10000
    });
    
    this.concurrency = options.concurrency || 100;
    this.processing = 0;
    this.queue = [];
  }
  
  async _transform(chunk, encoding, callback) {
    if (this.processing >= this.concurrency) {
      this.queue.push({ chunk, callback });
      return;
    }
    
    this.processing++;
    
    try {
      const result = await this.processChunk(chunk);
      this.push(result);
    } catch (error) {
      this.emit('error', error);
    } finally {
      this.processing--;
      this.processQueue();
    }
    
    callback();
  }
}

Network Optimization

Connection Pooling

// Advanced connection pool management
class ConnectionPool {
  constructor(options = {}) {
    this.minSize = options.minSize || 10;
    this.maxSize = options.maxSize || 100;
    this.idleTimeout = options.idleTimeout || 60000;
    this.connections = new Map();
    this.availableConnections = [];
    this.pendingRequests = [];
    
    // Pre-warm connections
    this.warmUp();
  }
  
  async warmUp() {
    const promises = [];
    for (let i = 0; i < this.minSize; i++) {
      promises.push(this.createConnection());
    }
    await Promise.all(promises);
  }
  
  async getConnection() {
    // Try to reuse existing connection
    const available = this.availableConnections.pop();
    if (available && !available.isStale()) {
      return available;
    }
    
    // Create new connection if under limit
    if (this.connections.size < this.maxSize) {
      return this.createConnection();
    }
    
    // Wait for available connection
    return new Promise((resolve) => {
      this.pendingRequests.push(resolve);
    });
  }
}

Bandwidth Management

// QoS and bandwidth management
class BandwidthManager {
  constructor(maxBandwidth) {
    this.maxBandwidth = maxBandwidth; // bytes per second
    this.currentUsage = 0;
    this.window = 1000; // 1 second window
    this.buckets = new Map();
  }
  
  async allocate(bytes, priority = 'normal') {
    const now = Date.now();
    const bucket = Math.floor(now / this.window);
    
    // Clean old buckets
    this.cleanBuckets(bucket);
    
    // Check if bandwidth available
    const currentBucket = this.buckets.get(bucket) || 0;
    const priorityMultiplier = this.getPriorityMultiplier(priority);
    const effectiveBytes = bytes / priorityMultiplier;
    
    if (currentBucket + effectiveBytes <= this.maxBandwidth) {
      this.buckets.set(bucket, currentBucket + effectiveBytes);
      return true;
    }
    
    // Rate limit exceeded, delay based on priority
    const delay = this.calculateDelay(effectiveBytes, priority);
    await new Promise(resolve => setTimeout(resolve, delay));
    
    // Retry allocation
    return this.allocate(bytes, priority);
  }
}

State Management Performance

CRDT Optimization

// Optimized CRDT implementation
class OptimizedGCounter {
  constructor(nodeId, options = {}) {
    this.nodeId = nodeId;
    this.counts = new Map();
    
    // Performance optimizations
    this.compressionThreshold = options.compressionThreshold || 1000;
    this.deltaSync = options.deltaSync !== false;
    this.lastSync = new Map();
  }
  
  increment(amount = 1) {
    const current = this.counts.get(this.nodeId) || 0;
    this.counts.set(this.nodeId, current + amount);
    
    // Compress if needed
    if (this.counts.size > this.compressionThreshold) {
      this.compress();
    }
  }
  
  // Delta synchronization for efficiency
  getDelta(peerId) {
    const lastSync = this.lastSync.get(peerId) || new Map();
    const delta = new Map();
    
    for (const [nodeId, count] of this.counts) {
      const lastCount = lastSync.get(nodeId) || 0;
      if (count > lastCount) {
        delta.set(nodeId, count);
      }
    }
    
    return delta;
  }
}

State Caching

// Multi-level state cache
class StateCache {
  constructor(options = {}) {
    // L1: In-memory cache (hot data)
    this.l1Cache = new LRUCache({
      max: options.l1Size || 10000,
      ttl: options.l1TTL || 60000
    });
    
    // L2: Persistent cache (warm data)
    this.l2Cache = new PersistentCache({
      path: options.l2Path || './cache',
      maxSize: options.l2Size || 1000000
    });
    
    // Bloom filter for negative caching
    this.bloomFilter = new BloomFilter({
      size: options.bloomSize || 100000,
      hashFunctions: 3
    });
  }
  
  async get(key) {
    // Check bloom filter first
    if (!this.bloomFilter.mightContain(key)) {
      return null;
    }
    
    // Try L1 cache
    const l1Result = this.l1Cache.get(key);
    if (l1Result !== undefined) {
      return l1Result;
    }
    
    // Try L2 cache
    const l2Result = await this.l2Cache.get(key);
    if (l2Result !== undefined) {
      // Promote to L1
      this.l1Cache.set(key, l2Result);
      return l2Result;
    }
    
    return null;
  }
}

Consensus Performance

Optimized Consensus Configuration

// High-performance consensus settings
const consensusConfig = {
  // Tendermint optimizations
  tendermint: {
    blockTime: 1000,           // 1 second blocks
    blockSize: 1000,           // Max 1000 txs per block
    
    // Timeout configurations
    timeouts: {
      propose: 300,            // 300ms propose timeout
      proposeDelta: 100,       // 100ms increment
      vote: 200,              // 200ms vote timeout
      voteDelta: 100,         // 100ms increment
      commit: 1000            // 1s commit timeout
    },
    
    // Mempool settings
    mempool: {
      size: 10000,            // Max 10k pending txs
      cacheSize: 100000,      // 100k tx cache
      maxBatchSize: 500       // Batch up to 500 txs
    }
  },
  
  // Raft optimizations
  raft: {
    electionTimeout: 150,      // 150ms election timeout
    heartbeatInterval: 50,     // 50ms heartbeats
    snapshotInterval: 10000,   // Snapshot every 10k entries
    maxInflightMsgs: 256,      // Max in-flight messages
    
    // Batching
    batchingEnabled: true,
    maxBatchSize: 100,
    batchTimeout: 10           // 10ms batch timeout
  }
};

Parallel Consensus

// Parallel consensus for independent operations
class ParallelConsensus {
  constructor(options = {}) {
    this.shards = options.shards || 4;
    this.consensusEngines = [];
    
    // Create separate consensus engines
    for (let i = 0; i < this.shards; i++) {
      this.consensusEngines.push(
        new TendermintConsensus({
          ...options,
          shardId: i,
          nodeId: `${options.nodeId}-shard-${i}`
        })
      );
    }
  }
  
  // Route operations to appropriate shard
  async submitCommand(command) {
    const shard = this.getShardForCommand(command);
    return this.consensusEngines[shard].submitCommand(command);
  }
  
  getShardForCommand(command) {
    // Deterministic sharding based on command
    const hash = crypto.createHash('sha256')
      .update(command.key || command.id)
      .digest();
    
    return hash[0] % this.shards;
  }
}

Resource Management

Memory Management

// Advanced memory management
class MemoryManager {
  constructor(options = {}) {
    this.maxHeapUsage = options.maxHeapUsage || 0.8; // 80% of heap
    this.gcThreshold = options.gcThreshold || 0.7;   // GC at 70%
    this.checkInterval = options.checkInterval || 5000;
    
    // Start monitoring
    this.startMonitoring();
  }
  
  startMonitoring() {
    setInterval(() => {
      const usage = process.memoryUsage();
      const heapUsedRatio = usage.heapUsed / usage.heapTotal;
      
      if (heapUsedRatio > this.gcThreshold) {
        // Force garbage collection if available
        if (global.gc) {
          global.gc();
        }
        
        // Clear caches if still high
        if (heapUsedRatio > this.maxHeapUsage) {
          this.clearCaches();
        }
      }
    }, this.checkInterval);
  }
  
  clearCaches() {
    // Emit event for cache clearing
    this.emit('memory-pressure', {
      heapUsed: process.memoryUsage().heapUsed,
      action: 'clear-caches'
    });
  }
}

CPU Optimization

// CPU affinity and optimization
const cluster = require('cluster');
const os = require('os');

class CPUOptimizer {
  static setupWorkers(options = {}) {
    const cpuCount = os.cpus().length;
    const workersPerCore = options.workersPerCore || 1;
    const totalWorkers = cpuCount * workersPerCore;
    
    if (cluster.isMaster) {
      // Fork workers with CPU affinity
      for (let i = 0; i < totalWorkers; i++) {
        const worker = cluster.fork({
          CPU_AFFINITY: i % cpuCount
        });
        
        // Set scheduling priority
        if (process.platform === 'linux') {
          const { exec } = require('child_process');
          exec(`taskset -cp ${i % cpuCount} ${worker.process.pid}`);
        }
      }
    } else {
      // Worker process
      const cpuId = parseInt(process.env.CPU_AFFINITY);
      
      // Set thread priority
      if (options.highPriority) {
        process.setpriority(process.PRIORITY_HIGH);
      }
    }
  }
}

Monitoring & Profiling

Performance Metrics Collection

// Comprehensive performance monitoring
class PerformanceMonitor {
  constructor() {
    this.metrics = {
      latency: new Histogram(),
      throughput: new Counter(),
      errors: new Counter(),
      activeConnections: new Gauge()
    };
    
    // Start collection
    this.startCollection();
  }
  
  recordLatency(operation, duration) {
    this.metrics.latency.observe({
      operation,
      duration
    });
  }
  
  async profile(name, fn) {
    const start = process.hrtime.bigint();
    
    try {
      const result = await fn();
      const end = process.hrtime.bigint();
      const duration = Number(end - start) / 1e6; // Convert to ms
      
      this.recordLatency(name, duration);
      
      return result;
    } catch (error) {
      this.metrics.errors.inc({ operation: name });
      throw error;
    }
  }
  
  getReport() {
    return {
      latency: {
        p50: this.metrics.latency.percentile(0.5),
        p95: this.metrics.latency.percentile(0.95),
        p99: this.metrics.latency.percentile(0.99)
      },
      throughput: this.metrics.throughput.rate(),
      errorRate: this.metrics.errors.rate(),
      connections: this.metrics.activeConnections.value()
    };
  }
}

Profiling Tools Integration

// Integration with profiling tools
const v8Profiler = require('v8-profiler-next');
const fs = require('fs');

class Profiler {
  static async profileCPU(duration = 10000) {
    const title = `cpu-profile-${Date.now()}`;
    
    // Start profiling
    v8Profiler.startProfiling(title, true);
    
    // Run for specified duration
    await new Promise(resolve => setTimeout(resolve, duration));
    
    // Stop profiling
    const profile = v8Profiler.stopProfiling(title);
    
    // Save profile
    const profileData = JSON.stringify(profile);
    fs.writeFileSync(`${title}.cpuprofile`, profileData);
    
    profile.delete();
    
    return `${title}.cpuprofile`;
  }
  
  static async profileMemory() {
    const snapshot = v8Profiler.takeSnapshot();
    const title = `heap-snapshot-${Date.now()}`;
    
    // Save snapshot
    const transform = snapshot.export();
    const fileStream = fs.createWriteStream(`${title}.heapsnapshot`);
    
    transform.pipe(fileStream);
    
    return new Promise((resolve) => {
      fileStream.on('finish', () => {
        snapshot.delete();
        resolve(`${title}.heapsnapshot`);
      });
    });
  }
}

Best Practices

General Performance Guidelines

  • Connection Management: Maintain persistent connections with proper pooling to avoid connection overhead
  • Message Batching: Batch small messages together to reduce network round trips
  • Async Operations: Use asynchronous I/O for all network and disk operations
  • Resource Limits: Set appropriate limits for connections, memory, and CPU usage
  • Monitoring: Continuously monitor performance metrics and set up alerts

Production Checklist

Common Pitfalls

Avoid These Common Mistakes:

  • Not setting connection timeouts leading to resource exhaustion
  • Using synchronous I/O operations that block the event loop
  • Neglecting to implement backpressure for stream processing
  • Over-aggressive caching without proper eviction policies
  • Ignoring memory leaks in long-running processes
  • Not testing performance degradation under Byzantine conditions