AgentSkillsCN

customerio-performance-tuning

优化Customer.io API性能。 在改善响应时间、降低延迟或优化高流量集成时使用。 可通过“customer.io performance”、“optimize customer.io”、“customer.io latency”、“customer.io speed”等短语触发。

SKILL.md
--- frontmatter
name: customerio-performance-tuning
description: |
  Optimize Customer.io API performance.
  Use when improving response times, reducing latency,
  or optimizing high-volume integrations.
  Trigger with phrases like "customer.io performance", "optimize customer.io",
  "customer.io latency", "customer.io speed".
allowed-tools: Read, Write, Edit, Bash(gh:*), Bash(curl:*)
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>

Customer.io Performance Tuning

Overview

Optimize Customer.io API performance for high-volume and low-latency integrations.

Prerequisites

  • Customer.io integration working
  • Monitoring infrastructure
  • Understanding of your traffic patterns

Instructions

Step 1: Connection Pooling

typescript
// lib/customerio-pooled.ts
import { TrackClient, RegionUS } from '@customerio/track';
import { Agent } from 'http';
import { Agent as HttpsAgent } from 'https';

// Create connection pool with keep-alive
const httpsAgent = new HttpsAgent({
  keepAlive: true,
  keepAliveMsecs: 30000,
  maxSockets: 100,
  maxFreeSockets: 20,
  timeout: 30000
});

// Create client with connection pooling
export function createPooledClient(): TrackClient {
  return new TrackClient(
    process.env.CUSTOMERIO_SITE_ID!,
    process.env.CUSTOMERIO_API_KEY!,
    {
      region: RegionUS,
      // Pass custom agent for connection pooling
      httpAgent: httpsAgent
    }
  );
}

// Singleton for connection reuse
let clientInstance: TrackClient | null = null;

export function getClient(): TrackClient {
  if (!clientInstance) {
    clientInstance = createPooledClient();
  }
  return clientInstance;
}

Step 2: Batch Processing

typescript
// lib/batch-processor.ts
import { TrackClient } from '@customerio/track';

interface BatchItem {
  type: 'identify' | 'track';
  userId: string;
  data: Record<string, any>;
}

export class BatchProcessor {
  private batch: BatchItem[] = [];
  private batchSize: number;
  private flushInterval: number;
  private timer: NodeJS.Timer | null = null;

  constructor(
    private client: TrackClient,
    options: { batchSize?: number; flushIntervalMs?: number } = {}
  ) {
    this.batchSize = options.batchSize || 100;
    this.flushInterval = options.flushIntervalMs || 1000;
    this.startFlushTimer();
  }

  add(item: BatchItem): void {
    this.batch.push(item);

    if (this.batch.length >= this.batchSize) {
      this.flush();
    }
  }

  async flush(): Promise<void> {
    if (this.batch.length === 0) return;

    const items = this.batch.splice(0, this.batchSize);

    // Process in parallel with concurrency limit
    const concurrency = 10;
    for (let i = 0; i < items.length; i += concurrency) {
      const chunk = items.slice(i, i + concurrency);
      await Promise.all(chunk.map(item => this.processItem(item)));
    }
  }

  private async processItem(item: BatchItem): Promise<void> {
    try {
      if (item.type === 'identify') {
        await this.client.identify(item.userId, item.data);
      } else {
        await this.client.track(item.userId, {
          name: item.data.event,
          data: item.data.properties
        });
      }
    } catch (error) {
      console.error(`Failed to process ${item.type} for ${item.userId}:`, error);
    }
  }

  private startFlushTimer(): void {
    this.timer = setInterval(() => this.flush(), this.flushInterval);
  }

  async shutdown(): Promise<void> {
    if (this.timer) {
      clearInterval(this.timer);
    }
    await this.flush();
  }
}

Step 3: Async Fire-and-Forget

typescript
// lib/async-tracker.ts
import { TrackClient } from '@customerio/track';

class AsyncTracker {
  private queue: Array<() => Promise<void>> = [];
  private processing = false;
  private concurrency = 5;

  constructor(private client: TrackClient) {}

  // Non-blocking identify
  identifyAsync(userId: string, attributes: Record<string, any>): void {
    this.enqueue(() => this.client.identify(userId, attributes));
  }

  // Non-blocking track
  trackAsync(userId: string, event: string, data?: Record<string, any>): void {
    this.enqueue(() => this.client.track(userId, { name: event, data }));
  }

  private enqueue(operation: () => Promise<void>): void {
    this.queue.push(operation);
    this.processQueue();
  }

  private async processQueue(): Promise<void> {
    if (this.processing) return;
    this.processing = true;

    while (this.queue.length > 0) {
      const batch = this.queue.splice(0, this.concurrency);
      await Promise.allSettled(batch.map(op => op()));
    }

    this.processing = false;
  }
}

export const asyncTracker = new AsyncTracker(getClient());

Step 4: Caching for Deduplication

typescript
// lib/dedup-cache.ts
import { LRUCache } from 'lru-cache';

interface CacheEntry {
  userId: string;
  attributes: Record<string, any>;
  timestamp: number;
}

const identifyCache = new LRUCache<string, CacheEntry>({
  max: 10000,
  ttl: 60000 // 1 minute
});

export function shouldIdentify(
  userId: string,
  attributes: Record<string, any>
): boolean {
  const cacheKey = `${userId}:${JSON.stringify(attributes)}`;
  const cached = identifyCache.get(cacheKey);

  if (cached) {
    // Skip if identical identify within TTL
    return false;
  }

  identifyCache.set(cacheKey, {
    userId,
    attributes,
    timestamp: Date.now()
  });

  return true;
}

// Track event deduplication
const eventCache = new LRUCache<string, number>({
  max: 50000,
  ttl: 5000 // 5 seconds
});

export function shouldTrack(
  userId: string,
  eventName: string,
  eventId?: string
): boolean {
  const cacheKey = eventId || `${userId}:${eventName}:${Date.now()}`;

  if (eventCache.has(cacheKey)) {
    return false;
  }

  eventCache.set(cacheKey, Date.now());
  return true;
}

Step 5: Regional Optimization

typescript
// lib/regional-client.ts
import { TrackClient, RegionUS, RegionEU } from '@customerio/track';

interface RegionalConfig {
  us: { siteId: string; apiKey: string };
  eu: { siteId: string; apiKey: string };
}

class RegionalCustomerIO {
  private clients: Map<string, TrackClient> = new Map();

  constructor(config: RegionalConfig) {
    this.clients.set('us', new TrackClient(
      config.us.siteId,
      config.us.apiKey,
      { region: RegionUS }
    ));

    this.clients.set('eu', new TrackClient(
      config.eu.siteId,
      config.eu.apiKey,
      { region: RegionEU }
    ));
  }

  private getClientForUser(userId: string, userRegion?: string): TrackClient {
    // Route to nearest region
    const region = userRegion || this.inferRegion(userId);
    return this.clients.get(region) || this.clients.get('us')!;
  }

  private inferRegion(userId: string): string {
    // Implement region inference logic
    // Could be based on user preferences, IP geolocation, etc.
    return 'us';
  }

  async identify(
    userId: string,
    attributes: Record<string, any>,
    region?: string
  ): Promise<void> {
    const client = this.getClientForUser(userId, region);
    await client.identify(userId, attributes);
  }
}

Step 6: Performance Monitoring

typescript
// lib/performance-monitor.ts
import { metrics } from './metrics';

function wrapWithTiming<T>(
  name: string,
  operation: () => Promise<T>
): Promise<T> {
  const start = Date.now();

  return operation()
    .then(result => {
      metrics.histogram(`customerio.${name}.latency`, Date.now() - start);
      metrics.increment(`customerio.${name}.success`);
      return result;
    })
    .catch(error => {
      metrics.histogram(`customerio.${name}.latency`, Date.now() - start);
      metrics.increment(`customerio.${name}.error`);
      throw error;
    });
}

// Usage
await wrapWithTiming('identify', () =>
  client.identify(userId, attributes)
);

Performance Benchmarks

OperationTarget LatencyNotes
Identify< 100msWith connection pooling
Track Event< 100msWith connection pooling
Batch (100 items)< 500msParallel processing
Webhook Processing< 50msExcluding downstream ops

Optimization Checklist

  • Connection pooling enabled
  • Batch processing for bulk operations
  • Async fire-and-forget for non-critical events
  • Deduplication cache implemented
  • Regional routing configured
  • Performance monitoring in place

Error Handling

IssueSolution
High latencyEnable connection pooling
Timeout errorsReduce payload size, increase timeout
Memory pressureLimit cache and queue sizes

Resources

Next Steps

After performance tuning, proceed to customerio-cost-tuning for cost optimization.