Running the nightly compliance export against mypurecloud.com.au again. The Architect flow triggers a Data Action webhook to push call recordings to the S3 bucket for ACMA retention checks. Latency from the Sydney edge to Melbourne is fine, but the webhook endpoint keeps dropping the payload with a 429 Too Many Requests right around 02:00 AEST. Console logs show flow hitting integration step, then immediately bailing out before HTTP request leaves platform. Rate limiting logic on integration side feels completely off for batch runs.
We’ve tried tweaking retry policy inside Data Action config. Set the interval to 5000ms and max retries to 3, but platform still throttles it after two successful posts. Can’t figure out why the counter resets incorrectly. The payload contains standard JSON with recording URLs and AEST timestamps. Nothing fancy. ACMA requires the files stay untouched for seven years, so this nightly dump has to work without manual intervention. Terraform state shows integration is active and secret key matches what we pushed last sprint.
Environment details:
- Genesys Cloud region: mypurecloud.com.au
- Architect flow version: 14.2.1
- Data Action type: Custom Webhook (POST)
- Target endpoint: Internal S3 gateway via API Gateway
- Payload size: ~1.2KB per call
- Timezone offset handling: Manual AEST conversion in pre-flow script
Flow diagram shows webhook step timing out after exactly 15 seconds. Network traces from our side show zero incoming requests during throttle window. Platform seems to be counting internal retry attempts against external rate limit. Maybe Sydney edge has a stricter bucket for custom integrations than US regions. Logs just dump a generic throttle warning with no request ID to trace.
The 429 isn’t coming from S3. It’s Genesys Cloud’s internal rate limiter on the Data Action integration itself. When you trigger a bulk export via Architect, the platform caps outbound HTTP requests per minute to prevent DDoS-like behavior from misconfigured flows. You’re hitting that ceiling hard.
Switch to the genesys-cloud-node-js SDK to handle the pagination and backoff logic server-side. Don’t let Architect do the heavy lifting for bulk data movement. Here’s how I structure it in Node.js:
const { PlatformClient } = require('genesys-cloud-node-js');
const platformClient = PlatformClient.init({
clientId: process.env.GC_CLIENT_ID,
clientSecret: process.env.GC_CLIENT_SECRET,
basePath: 'https://api.mypurecloud.com' // Note: use api.mypurecloud.com, not mypurecloud.com.au for API calls
});
async function syncRecordings() {
const qualityApi = platformClient.qualityApi;
// Fetch in batches to stay under the radar
const response = await qualityApi.getQualityEvaluationRecords({
expand: ['recording'],
pageSize: 25 // Keep this small. 100 triggers limits faster.
});
for (const record of response.entities) {
// Your S3 upload logic here
await uploadToS3(record.recording.uri);
// Artificial delay to respect platform limits
await new Promise(r => setTimeout(r, 200));
}
}
The key is pageSize: 25. Large pages trigger stricter rate checks. Also, ensure your app has quality:evaluation:read scope. If you keep using the Data Action, add a retry policy with exponential backoff in the integration settings, but honestly, moving the logic to a Node.js worker is cleaner. You get better error handling and won’t clog up the flow engine. The Sydney edge is fine, it’s the platform’s internal gateway throttling you. Check your developer portal for the specific rate limit bucket your app is assigned to. It might be lower than the default.