Running into a persistent 409 Conflict error when deploying WFM schedule groups via the Genesys Cloud Terraform provider (version 1.18.0).
The deployment pipeline uses GitHub Actions to push configuration from dev to prod. The specific error references a duplicate resource ID collision on the genesyscloud_wfm_schedule_group resource.
Terraform state shows the resource exists, but the API rejects the update with a conflict payload indicating the group is locked or already present with different attributes.
Is there a specific wait strategy or API versioning issue causing this drift? Need to unblock the nightly automation.
Check your Terraform provider configuration for explicit locking mechanisms or race conditions during concurrent deployments. The 409 Conflict error during tf apply often stems from multiple workers attempting to write to the same WFM schedule group resource simultaneously. In my load testing scenarios with JMeter, this collision happens when the API endpoint does not support optimistic concurrency control for bulk updates. The Genesys Cloud API expects a sequential write pattern for WFM resources to prevent state corruption.
To resolve this, you should implement a mutex or a serial execution block in your GitHub Actions workflow. Ensure that only one runner interacts with the genesyscloud_wfm_schedule_group resource at a time. If you are using a matrix strategy for deployment, add a dependency chain to serialize the WFM module execution. Alternatively, check if the Terraform state file is being accessed by multiple processes. A common fix is to use a remote backend with state locking enabled, such as Terraform Cloud or S3 with DynamoDB. This prevents parallel writes that trigger the API conflict.
Also, verify the etag handling in the provider logs. If the provider is not correctly fetching the latest ETag before updating, the server will reject the request. This is a known limitation in older provider versions when dealing with high-concurrency environments. Update to the latest provider version if possible, as recent patches improve ETag synchronization.
Note: Avoid running parallel tf apply commands for WFM resources. The API enforces strict serialization for schedule groups to maintain data integrity during peak load periods.