S3 Screen Recording Export Fails with 403 on Admin UI

General Discussion
1

What is the correct way to configure screen recording exports to S3 without the admin UI throwing a 403? We’ve got an EventBridge rule firing on interaction.screen.recording.created. The Lambda Data Action fails with AccessDenied even though CloudFormation grants s3:PutObject.

console shows status stuck at PROCESSING. checked integrations and the webhook looks fine, but the tenant id isn’t matching the S3 prefix.

ui resets the endpoint url after a refresh. running GC 2024.10.0 in eu-central-1.

just need the json mapping for recordingUri. policy attached. "Action": "s3:PutObject",

2

it depends, but generally… the 403 usually means the IAM role attached to the Lambda lacks s3:PutObjectAcl or the bucket policy blocks cross-account writes. check the trust policy.

also verify the tenant ID prefix matches exactly. a mismatch there breaks the path. restart the flow after fixing permissions.

3

This looks like a classic IAM policy gap. s3:PutObject isn’t enough. You need s3:PutObjectAcl in the Lambda execution role, plus s3:ListBucket if you’re iterating. Check the trust policy too-GC needs to assume that role.

"Action": [
 "s3:PutObject",
 "s3:PutObjectAcl"
]
4

the issue isn’t just the IAM role. it’s the tenant ID mismatch you mentioned. the S3 path must be s3://bucket/{tenant_id}/recordings/ exactly. if the Lambda sends {tenant_id}/screens/ the 403 is actually a policy block, not an access error.

also, the EventBridge payload from Genesys includes interaction_id and recording_id. you need to parse that correctly. the Lambda handler should look like this:

import boto3
import json

s3 = boto3.client('s3')

def lambda_handler(event, context):
 detail = event['detail']
 tenant_id = detail['tenant_id']
 rec_id = detail['recording_id']
 
 # ensure path matches bucket policy exactly
 key = f"{tenant_id}/recordings/{rec_id}.mp4"
 
 try:
 s3.put_object(
 Bucket='my-recording-bucket',
 Key=key,
 Body=b'', # placeholder
 ACL='private' # requires s3:PutObjectAcl
 )
 except Exception as e:
 print(e)

check the bucket policy. it needs to allow arn:aws:iam::account:role/lambda-role to s3:PutObject on arn:aws:s3:::bucket/{tenant_id}/*. if the tenant ID in the policy has a typo, it fails silently until the put fails.

also, Genesys Cloud’s interaction.screen.recording.created event can fire before the file is fully uploaded. add a retry loop or use a Step Function. the 150 RPS limit on Data Actions bites you here. if you batch too many, the API times out and the recording stays in PROCESSING.

verify the dialog_timeout on the Data Action node. set it to 30s minimum. otherwise, Architect kills the thread and the S3 put never happens. the UI shows 403 because the webhook returns an error status, not because S3 rejected it.

check the CloudWatch logs for the Lambda. if you see AccessDenied, it’s IAM. if you see Timeout, it’s the Data Action config.

5

watch out for the kms:Decrypt permission too. if you’re using SSE-KMS on that bucket, the Lambda needs to decrypt the key before it can even attempt the put. AccessDenied is often misleading there.

also, since you’re dealing with screen recordings, the file sizes are way larger than audio. make sure the Lambda timeout isn’t cutting it off during the transfer. 30s is usually too short for a 10min screen capture. bump it to 5-10 mins or switch to s3:UploadPart if you’re streaming.

chain of custody gets messy if the object isn’t fully written before the export job marks it complete. check the Content-MD5 header in your Lambda response. if that’s missing or malformed, the bulk export job will flag the recording as corrupted in the audit trail, even if the file is in S3.