How to implement a Webhook notification for Vertex AI Batch Prediction Job completion?

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Summary

The problem at hand is implementing a webhook notification for Vertex AI Batch Prediction Job completion. The goal is to notify an external system via webhook as soon as a job reaches a terminal state, either JOB_STATE_SUCCEEDED or JOB_STATE_FAILED, and include the jobId, final state, and output location in the payload.

Root Cause

The root cause of this issue is the lack of a native webhook field in the Batch Prediction configuration within the Google Cloud Console. Additionally, the complexity of identifying the specific event pattern or service integration required to bridge Vertex AI to an external HTTP endpoint using Cloud Logging sinks and Pub/Sub triggers is a significant challenge.

Why This Happens in Real Systems

This issue occurs in real systems due to the following reasons:

  • Limited native integration: The Vertex AI API does not provide a built-in webhook notification configuration.
  • Complex event-driven patterns: The use of Eventarc or Log Sinks to trigger a Cloud Function that executes the webhook POST request can be complex and difficult to set up.
  • Lack of documentation: The specific event pattern or service integration required to bridge Vertex AI to an external HTTP endpoint may not be well-documented.

Real-World Impact

The real-world impact of this issue includes:

  • Manual polling: Without a webhook notification, manual polling of the job status may be required, which can be inefficient and resource-intensive.
  • Delayed notifications: The lack of a webhook notification can result in delayed notifications to external systems, which can impact business workflows and decision-making.
  • Increased complexity: The use of workarounds or custom solutions can add complexity to the system and increase the risk of errors and downtime.

Example or Code

import requests

def send_webhook_notification(job_id, final_state, output_location):
    webhook_url = "https://example.com/webhook"
    payload = {
        "jobId": job_id,
        "finalState": final_state,
        "outputLocation": output_location
    }
    response = requests.post(webhook_url, json=payload)
    if response.status_code != 200:
        print("Error sending webhook notification")

# Example usage:
job_id = "example-job-id"
final_state = "JOB_STATE_SUCCEEDED"
output_location = "gs://example-bucket/output"
send_webhook_notification(job_id, final_state, output_location)

How Senior Engineers Fix It

Senior engineers fix this issue by:

  • Using Cloud Logging sinks to capture Vertex AI job completion events and trigger a Cloud Function that executes the webhook POST request.
  • Implementing Eventarc to capture Vertex AI job completion events and trigger a Cloud Function that executes the webhook POST request.
  • Using Pub/Sub triggers to capture Vertex AI job completion events and trigger a Cloud Function that executes the webhook POST request.
  • Developing custom solutions using Cloud Functions and Cloud Logging to capture Vertex AI job completion events and send webhook notifications.

Why Juniors Miss It

Juniors may miss this issue due to:

  • Lack of experience with Vertex AI and Cloud Logging.
  • Limited understanding of event-driven patterns and service integrations.
  • Insufficient knowledge of Cloud Functions and Pub/Sub triggers.
  • Overreliance on native integration and built-in features.

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