What is the reason the outbound campaign creation endpoint throttles so hard? Running JMeter with just 10 threads hitting /api/v2/outbound/campaigns. Getting immediate 429s after the second request. The docs mention rate limits but don’t specify the exact burst allowance for this endpoint. Is there a specific header to tune or a delay needed between calls? Trying to simulate bulk campaign uploads for our Singapore region.
Thanks for the help.
If I remember correctly… the outbound campaign endpoint enforces a strict burst limit that is significantly lower than standard CRUD operations, often capping at 10 requests per minute per tenant rather than per user. This explains the immediate 429s after just two calls in a rapid JMeter burst. The documentation does not explicitly state this micro-burst constraint, but it aligns with how Genesys protects the campaign scheduling engine from resource exhaustion. Instead of relying on exponential backoff for every single request, consider implementing a fixed delay of 600 milliseconds between threads in your JMeter configuration. This mimics natural administrative pacing and prevents the queue from filling up instantly. Also, verify that your test payload includes the schedule object correctly, as malformed schedules can trigger internal validation loops that exacerbate rate limiting issues. Check the Retry-After header in the 429 response for the exact cooldown period, which is usually 5 to 10 seconds for this specific endpoint.
Have you tried implementing a simple exponential backoff strategy in your JMeter script to handle the 429s gracefully? This is a standard requirement for high-throughput API clients hitting the outbound engine.
The rate limiting is tenant-level and quite aggressive for campaign creation. Adding a slight delay between requests usually resolves the immediate throttling issues.
You need to adjust the JMeter thread group settings. The outbound engine enforces strict tenant-level rate limits, not per-user limits. This causes immediate 429s during high-concurrency tests.
Cause:
The /api/v2/outbound/campaigns endpoint has a low burst allowance. It is designed to prevent resource exhaustion on the scheduling engine. Standard CRUD limits do not apply here.
Solution:
Implement a constant throughput timer or delay. Here is a sample Terraform configuration for a mock test resource to verify limits, but for JMeter, add a ‘Constant Throughput Timer’ set to 600 requests per minute (10 per minute per tenant is the hard cap).
resource "genesyscloud_outbound_campaign" "test" {
name = "Load Test ${count.index}"
description = "JMeter verification"
# Ensure unique IDs to avoid conflict
sequence_id = count.index
}
In JMeter:
This aligns with the burst protection mentioned above.
Make sure you adjust the JMeter configuration to respect the tenant-level burst limits, which are significantly stricter than standard CRUD operations. Coming from a Zendesk background, I initially struggled with this because Zendesk’s API rate limiting feels more permissive for bulk ticket creation. Genesys Cloud protects the outbound scheduling engine aggressively to prevent resource exhaustion, so those immediate 429s are expected behavior, not a bug.
The suggestion above about exponential backoff is correct, but for load testing, a constant throughput timer often provides more predictable results. You need to cap your requests per second (RPS) well below the perceived limit. In our recent Zendesk-to-GC migration, we found that even 5 RPS could trigger throttling if the previous batch hadn’t fully processed.
Here is how we configured the JMeter Constant Throughput Timer to stabilize the campaign creation flow:
120 (which equals 2 requests per minute, safely under the 10/min burst limit).| Setting | Value | Reason |
|---|---|---|
| Timer Type | Constant Throughput | Predictable pacing |
| Throughput | 120 | 2 req/min |
| Per Thread | True | Isolates load |
Unlike Zendesk’s simpler webhook setup, Genesys requires this patience during bulk operations. If you still see 429s, check the Retry-After header in the response; it gives you the exact wait time in seconds. Also, ensure you are using a valid OAuth token with outbound:campaign:write scope. Token refresh issues can sometimes masquerade as rate limiting if the session expires mid-batch. This approach helped us migrate our initial campaign set without hitting the walls.