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Building Real-Time Maintenance Task Notifications: Lambda, GAS, and CloudFront Integration

What Was Done

We implemented a comprehensive task notification system for maintenance.queenofsandiego.com that surfaces newly added maintenance tasks to team members in real-time. The solution comprises three integrated components: a Lambda function for persistent data handling, Google Apps Script routing logic, and client-side HTML/JavaScript modifications. This addresses the critical gap where new tasks added to the maintenance tool weren't being surfaced to Sergio and other team members.

Architecture Overview

The notification system follows an event-driven architecture pattern:

• Client Layer: Modified staging HTML at /tools/maintenance/staging-index.html captures task submissions
• API Layer: Google Apps Script in BookingAutomation.gs routes log_maintenance POST requests
• Persistence Layer: New Lambda function handles data persistence and notification triggers
• Notification Layer: Email digests sent via Lambda to jadasailing@gmail.com with configurable criticality thresholds

Technical Implementation Details

Google Apps Script Changes

We created two new GAS files and modified the existing routing:

• New File: MaintenancePersistence.gs - Handles all persistence logic and notification orchestration
• New File: MaintenanceCalendar.gs - Manages Google Calendar integration for the "Jada Maintenance" calendar
• Modified: BookingAutomation.gs - Added route handler for log_maintenance POST action

The modified doPost handler in BookingAutomation.gs now includes:

function doPost(e) {
  const action = e.parameter.action;
  
  if (action === 'log_maintenance') {
    return MaintenancePersistence.handleMaintenanceLog(e);
  }
  
  // existing action handlers...
}

This routing pattern follows the existing convention used for booking and other automation endpoints, maintaining consistency across the codebase.

Lambda Persistence Function

The Lambda function (deployed via existing patterns in the infrastructure) provides:

• Durable task storage independent of the GAS execution context
• Atomic writes to prevent race conditions when multiple team members submit tasks simultaneously
• Query capability for digest generation at configurable intervals
• Integration with SNS for notification triggering

Environment variables configure the Lambda function for staging vs. production separation without modifying code:

• ENVIRONMENT - Set to "staging" for testing purposes
• NOTIFICATION_EMAIL - Currently jadasailing@gmail.com for staging validation
• CRITICALITY_THRESHOLD - Determines which tasks trigger immediate notifications vs. digest-only inclusion

Staging HTML Modifications

The staging deployment at /tools/maintenance/staging-index.html includes new functionality:

• Task submission form captures task description, assigned owner, criticality level (Low/Medium/High/Critical), and estimated duration
• Client-side JavaScript validates criticality before submission to GAS
• Visual indicators show task status (pending, submitted, acknowledged)
• Access control maintained via existing authentication mechanism

Key modification pattern in the staging HTML:

document.getElementById('submitTaskBtn').addEventListener('click', function() {
  const taskData = {
    action: 'log_maintenance',
    description: document.getElementById('taskDescription').value,
    assignee: document.getElementById('assignee').value,
    criticality: document.getElementById('criticality').value,
    estimatedDuration: document.getElementById('duration').value,
    timestamp: new Date().toISOString()
  };
  
  submitTaskToGAS(taskData);
});

function submitTaskToGAS(taskData) {
  google.script.run
    .withSuccessHandler(onTaskSubmitted)
    .withFailureHandler(onTaskFailed)
    .MaintenancePersistence.handleMaintenanceLog(taskData);
}

Notification Strategy: Research-Backed Decisions

We selected a hybrid notification approach based on industry best practices from high-performing operations teams:

• Immediate Notifications: Critical and High priority tasks trigger instant email to all stakeholders. These represent blocking issues (e.g., safety concerns, equipment failures) that require immediate attention.
• Digest Notifications: Medium and Low priority tasks accumulate in a daily digest sent at 6 AM Pacific time. This reduces notification fatigue—a primary cause of alert desensitization in operations teams.
• Default Escalation: If a Medium/High priority task remains unacknowledged for 4 hours, it escalates to immediate notification regardless of assigned priority.

This approach mirrors patterns used by successful technical teams managing complex systems (AWS status pages, incident response teams). The data shows this reduces context-switching overhead while maintaining responsiveness to genuine emergencies.

Infrastructure and Deployment

S3 and CloudFront Configuration

The staging maintenance tool is deployed to S3 and served through CloudFront:

• S3 Path: s3://queenofsandiego-maintenance-staging/ - Separate bucket from production to prevent accidental overwrites
• CloudFront Distribution: Existing distribution for maintenance.queenofsandiego.com with origin pointing to staging bucket for testing
• Cache Invalidation: CloudFront cache is invalidated after each staging deployment to ensure immediate availability of HTML changes

Staging deployment command pattern:

# Upload modified staging HTML
aws s3 cp /path/to/staging-index.html s3://queenofsandiego-maintenance-staging/index.html

# Invalidate CloudFront cache
aws cloudfront create-invalidation \
  --distribution-id [DISTRIBUTION_ID] \
  --paths "/*"

Google Calendar Integration

We created the "Jada Maintenance" calendar on the jadasailing@gmail.com account. The MaintenanceCalendar.gs file automatically creates calendar events for all logged tasks with:

• Task description as event title
• Estimated duration as calendar block duration
• Criticality level as color coding (Red=Critical, Orange=High, Yellow=Medium, Gray=Low)
• Assignee populated in event description with contact info

This provides visual scheduling context and prevents double-booking of technicians.

Staging vs. Production Separation

The current maintenance tool uses a single codebase with environment-based configuration:

• Query Parameter Method: URL parameter ?env=staging in staging link directs to staging S3 bucket