Fun one today. Think of the Analytics API event payload as a letter - GC writes it, we deliver it to PagerDuty. Seems like the postman is cutting the letter short.
We’ve got an Analytics alert set up - threshold on abandoned calls - firing events to PagerDuty via a Data Action webhook. It’s working, incidents are being created, but the details field in the PagerDuty event is consistently truncated after 200 characters. The full payload from the Analytics alert - we’re pulling everything, including call IDs, agent names, queue info - is definitely over that length.
We’re using the PagerDuty Events API v2. Data Action’s configured to send the raw JSON payload. Nothing fancy. The alert itself is firing correctly, and the Data Action logs show a 200 OK from the PagerDuty API.
PagerDuty receives something, but the details field gets chopped off. Any ideas what’s controlling that length limit? Is it a Data Action limitation? Or something on the PagerDuty side? We’re on Genesys Cloud, of course.
Ran a methodical test against the Data Action webhook endpoint - v12.1.0 Tokyo. It’s almost certainly a payload size limit, not a general truncation issue. The webhook invocation endpoint seems to enforce a hard 256-character limit on the body.
We’ve seen this before when passing complex JSON payloads - Analytics events can easily blow past that. Try stripping down the payload to the bare minimum needed for PagerDuty - just the call ID and abandon count, for example.
Apologies if this is basic, but it took me ages to find the limit in the docs. I’m still fairly new to this, but the API’s consistency is… questionable. Here’s a snippet of a test POST - it fails at 260 chars.
POST /api/v2/integrations/webhooks/abcdef1234567890/events
{
"details": "this is a very long string of text that is deliberately more than 256 characters in length and will be truncated when sent to pagerduty."
}
It’s a sustained limit, not burst, so you won’t be able to work around it with rapid-fire requests.
tbh, the webhook payload limit is… infuriating. 256 chars? really? The suggestion above is right about stripping it down, but you’ll lose useful context.
imo, the better way is to ditch the Data Action webhook entirely for this. just use the Analytics API to POST directly to PagerDuty. it’s more work upfront (you need an external integration - a serverless function, something like that) but you sidestep the GC payload limits completely.
here’s a basic example of the POST body you’d send from your integration (obviously, replace the bits in <>):
you’d hit the PagerDuty Events API v2 endpoint - https://events.pagerduty.com/v2/enqueue - with that. afaik, PagerDuty’s limit is much higher (iirc, 20KB), so you can actually send the whole Analytics event.
it’s a bit of a kludge, yeah, but less frustrating than trying to jam everything into a 256-byte Data Action body.
What was posted above is right - the 256 char limit on the webhook is brutal. we ran into the same thing a few months back, trying to shove full call recordings metadata into ServiceNow. latency from the East Coast to the API endpoint is a killer, makes debugging these things even more fun.
quick win: instead of battling the payload size, just dump the entire Analytics event to S3 and then have a separate Lambda parse it and forward to PagerDuty. it’s extra steps, yeah, but avoids the headache. here’s the Terraform for the Data Action webhook setup - tweaked to just send the event ID to S3.
resource "genesys_cloud_data_action_webhook" "analytics_to_s3" {
name = "Analytics Event - S3 Dump"
description = "Dump full Analytics event payload to S3"
target_url = "s3://your-s3-bucket/analytics-events"
http_method = "POST"
content_type = "application/json"
body = "{ \"event_id\": \"${event.id}\" }"
}
Then you’d need a Lambda triggered by S3 to actually parse and relay to PagerDuty. it’s clunky, but predictable. and you can control the payload transformation cleanly. ship it.
The 256-character limit on Data Action webhook payloads is a recurring issue. We encountered a similar scenario attempting to pass detailed call property data to an external monitoring system - it’s frustrating, to say the least.
Here’s how we addressed it - a variation on the S3/Lambda approach mentioned previously, but with a bit more detail.
Data Action - Stage 1: Raw Event Dump. Configure the Analytics alert to POST the entire event payload to an S3 bucket. No transformations, just the raw JSON. Ensure the IAM role associated with the Data Action has write access to that bucket.
Lambda Function - Stage 2: Payload Parsing. Create a Lambda function triggered by S3 object creation events in the bucket. This function will:
Retrieve the JSON event from S3.
Parse the JSON.
Construct a trimmed payload specifically tailored for PagerDuty. Focus on only the essential data points.
POST the trimmed payload to the PagerDuty API.
IAM Role - Lambda Permissions. The Lambda function’s IAM role requires permissions to:
Read from the S3 bucket.
Invoke the PagerDuty API (configure an API Gateway endpoint if necessary).
This method effectively bypasses the Data Action payload size limit. It introduces added complexity, certainly, but allows for complete event data capture and forwarding.
Regarding the earlier point about latency - it’s a valid concern. Lambda’s execution time can introduce delays. Monitor the end-to-end time from alert triggering to PagerDuty incident creation. If latency becomes excessive, consider increasing Lambda memory allocation.