429 Too Many Requests on /api/v2/analytics/details calls during predictive routing load test

Genesys Cloud Routing
1

Running JMeter 5.6.2 against Genesys Cloud 2024-1. Getting “429 Too Many Requests” when hitting /api/v2/analytics/details for predictive routing metrics. The error occurs when the script attempts to fetch real-time agent availability data for 500 concurrent interactions.

Environment details: Max concurrent call capacity is set to 500. Using JMeter with WebSocket samplers for call simulation. The error starts appearing after 300 concurrent calls. Is there a specific rate limit for this endpoint during predictive routing campaigns? Any suggestions for adjusting the JMeter throughput controller to avoid this?

2

It depends, but generally… this issue stems from exceeding the API rate limits configured for analytics endpoints during high-volume load testing. The 429 error indicates that the request frequency surpasses the allowed threshold for the /api/v2/analytics/details endpoint. To resolve this, consider the following steps:

  1. Adjust JMeter Thread Group Settings: Reduce the number of concurrent threads in your JMeter script. Start with a lower concurrency level (e.g., 100) and gradually increase while monitoring for 429 errors.

  2. Implement Request Throttling: Use JMeter’s Throughput Shaping Timer or Constant Throughput Timer to control the rate of requests. Set a maximum throughput that aligns with Genesys Cloud’s API rate limits (typically 100 requests per minute for analytics endpoints).

  3. Batch Analytics Requests: Instead of fetching individual agent availability data for each interaction, aggregate requests where possible. For example, retrieve a summary of agent statuses at regular intervals rather than per-interaction.

  4. Monitor API Usage: Enable API usage logging in Genesys Cloud to track request patterns. Identify peak times and adjust your load test parameters accordingly.

  5. Optimize Predictive Routing Configuration: Review your predictive routing setup to ensure it’s not triggering excessive analytics calls. For instance, avoid overly frequent updates to agent availability metrics.

By implementing these adjustments, you can mitigate the 429 errors and ensure smoother load testing. If issues persist, consult Genesys Cloud’s documentation on API rate limits or contact support for further guidance.