customerio-load-scale

# Customer.io Load & Scale ## Overview Load testing and scaling strategies for high-volume Customer.io integrations: k6 load test scripts, scaling architecture selection based on volume tier, Kubernetes HPA autoscaling, message queue buffering, and rate-limit-aware batch processing. ## Scaling Architecture by Volume | Daily Events | Architecture | Key Components | |-------------|--------------|----------------| | < 100K | Direct API | Singleton client, retry, connection pooling | | 100K - 1M | Batched API | Event queue, batch processor, rate limiter | | 1M - 10M | Queue-backed | Redis/Kafka queue, worker pool, backpressure | | > 10M | Distributed | Multiple workspaces, sharded queues, regional routing | Customer.io rate limit is ~100 req/sec per workspace. Plan your architecture around this. ## Instructions ### Step 1: k6 Load Test Script ```javascript // load-tests/customerio.js // Run: k6 run --vus 10 --duration 60s load-tests/customerio.js import http from "k6/http"; import { check, sleep } from "k6"; import { Counter, Trend } from "k6/metrics"; const SITE_ID = __ENV.CUSTOMERIO_SITE_ID; const API_KEY = __ENV.CUSTOMERIO_TRACK_API_KEY; const BASE_URL = "https://track.customer.io/api/v1"; const AUTH = `${SITE_ID}:${API_KEY}`; const identifyLatency = new Trend("cio_identify_latency"); const trackLatency = new Trend("cio_track_latency"); const errors = new Counter("cio_errors"); export const options = { scenarios: { identify_load: { executor: "ramping-arr...