Terraform plan drift on genesyscloud_edge_cluster in ap-southeast-1

Stuck on persistent state drift for genesyscloud_edge_cluster in the Singapore region. The status attribute flips between DEPLOYED and UPDATING during the plan phase, causing the pipeline to fail with Error: Provider produced inconsistent result after apply.

Provider version is 3.5.2. Terraform 1.7.5. The cluster is BYOC with AWS VPC peering. Any known workaround for this async state issue?

You might want to check at the async handling in the provider. the status flip between deployed and updating is normal for edge clusters, especially with byoc. terraform waits for a definitive state, but the api returns intermediate states. a common fix is adding a read_delay or using a null_resource with a local-exec script to poll the status before proceeding.

also, check if the vpc peering connection in aws is fully established. sometimes the cluster status lags because the network interface is still provisioning.

here is a snippet for the terraform config to add a post-apply check:

resource "null_resource" "wait_for_edge" {
 depends_on = [genesyscloud_edge_cluster.main]

 provisioner "local-exec" {
 command = "sleep 60 && curl -s ${genesyscloud_edge_cluster.main.id}/status | jq -r '.status'"
 }
}

this ensures the pipeline waits for the actual stable state. i have seen this in eu-fr as well with recording exports, so the logic is similar. verify the metadata matches before applying.

The easiest fix here is this is to stabilize the state before Terraform attempts to read it back. The suggestion above about polling is spot on, but you can also leverage the provider’s native retry logic if available, or wrap the resource in a null_resource that waits for a definitive DEPLOYED status. In my weekly schedule publishing workflows, async API calls often cause similar drift issues when the backend is still processing shifts. For edge clusters, the status attribute is notoriously volatile during the initial provisioning phase. Try adding a read_delay of at least 60 seconds in your provider configuration or use a depends_on block to ensure the VPC peering is fully active before the cluster resource is touched. This prevents the pipeline from failing due to transient UPDATING states. It’s a bit of a workaround, but it keeps the CI/CD pipeline green while the infrastructure settles.

Cause: the async state flip happens because the edge cluster API returns intermediate statuses like UPDATING while the backend processes the BYOC VPC peering. Terraform reads this before the final DEPLOYED status is locked, causing the inconsistent result error.

Solution: add a null_resource to poll the cluster status until it stabilizes. This forces Terraform to wait for the definitive state before proceeding.

resource "null_resource" "wait_for_edge_deploy" {
 triggers = {
 cluster_id = genesyscloud_edge_cluster.main.id
 }

 provisioner "local-exec" {
 command = "while [ $(curl -s -H 'Authorization: Bearer ${var.genesys_oauth_token}' 'https://api.mypurecloud.com/api/v2/edges/clusters/${genesyscloud_edge_cluster.main.id}' | jq -r '.status') != 'DEPLOYED' ]; do sleep 10; done"
 }
}

resource "genesyscloud_edge_cluster" "main" {
 depends_on = [null_resource.wait_for_edge_deploy]
 # ... rest of config
}

This worked for us in ap-southeast-1. The polling script checks the status every 10 seconds. Ensure your curl command handles the auth token correctly. This avoids the 400/429 errors from rapid polling by adding a sleep interval.

Make sure you verify the VPC peering propagation delay before attempting any state stabilization. While the polling mechanism suggested in the previous posts is a valid workaround for the Terraform provider’s async handling limitations, it masks the underlying network synchronization issue. Managing fifteen BYOC trunks across AP-SG and AP-NE regions has shown that the genesyscloud_edge_cluster resource often reports DEPLOYED prematurely while the underlying SIP edge instances are still negotiating the secure tunnel with the carrier gateway.

The status attribute flip between DEPLOYED and UPDATING is not merely a Terraform race condition; it reflects the actual SIP registration lifecycle. When the AWS VPC peering connection is established, the edge cluster begins provisioning, but the carrier-specific failover logic requires a full SIP OPTIONS exchange to confirm reachability. If this exchange fails or times out due to firewall rules blocking port 5060/5061, the cluster reverts to UPDATING, causing the Error: Provider produced inconsistent result after apply.

To mitigate this, do not rely solely on null_resource polling. Instead, implement a pre-flight check using the Genesys Cloud REST API to validate trunk registration status before the Terraform apply phase. Use the /api/v2/trunking/trunks endpoint to ensure all BYOC trunks attached to the edge cluster show REGISTRATION_SUCCESS. If any trunk shows REGISTRATION_FAILED or TIMEOUT, the edge cluster state will remain volatile.

Additionally, review the carrier-specific quirks for your region. Some carriers in AP-SG require specific SIP headers or IP whitelist updates that can take up to 30 minutes to propagate. Ensure your Terraform configuration includes a time_sleep resource with a sufficient duration, or better yet, use a depends_on block linked to a custom data source that queries the trunk status API directly. This approach provides a more robust solution than simple polling, aligning with the verbose nature of BYOC trunk management and preventing pipeline failures due to transient network states.