adobe-load-scale

# Adobe Load & Scale ## Overview Load testing and scaling strategies for Adobe API integrations. Adobe APIs are async and relatively slow (5-30s per operation), requiring different load testing approaches than typical REST APIs. ## Prerequisites - k6 load testing tool installed (`npm install -g k6` or `brew install k6`) - Adobe Developer Console credentials for testing (separate from production) - Kubernetes cluster with HPA configured (for auto-scaling) - Understanding of your Adobe API rate limits ## Instructions ### Step 1: k6 Load Test for Firefly API ```javascript // adobe-firefly-load.js import http from 'k6/http'; import { check, sleep } from 'k6'; import { Rate, Trend } from 'k6/metrics'; const errorRate = new Rate('adobe_errors'); const fireflyDuration = new Trend('firefly_duration'); export const options = { stages: [ { duration: '1m', target: 2 }, // Warm up (Adobe APIs are slow) { duration: '3m', target: 5 }, // Steady state { duration: '2m', target: 10 }, // Stress (watch for 429s) { duration: '1m', target: 0 }, // Ramp down ], thresholds: { http_req_duration: ['p(95)<30000'], // 30s — Firefly is async/slow adobe_errors: ['rate<0.05'], // < 5% error rate }, }; // Pre-generate token (shared across VUs) const TOKEN = __ENV.ADOBE_ACCESS_TOKEN; const CLIENT_ID = __ENV.ADOBE_CLIENT_ID; export default function () { const response = http.post( 'https://firefly-api.adobe.io/v3/images/generate', JSON...