Performance Tuning Guide
Optimize SocketCloud for maximum performance in high-throughput financial environments. This guide covers latency reduction, throughput optimization, and resource management strategies.
Table of Contents
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