customerio-deploy-pipeline

name	customerio-deploy-pipeline
description	Deploy Customer.io integrations to production cloud platforms. Use when deploying to Cloud Run, Vercel, AWS Lambda, or Kubernetes with proper secrets management and health checks. Trigger: "deploy customer.io", "customer.io cloud run", "customer.io kubernetes", "customer.io lambda", "customer.io vercel".
allowed-tools	Read, Write, Edit, Bash(npm:*), Bash(gcloud:*), Bash(kubectl:*), Glob, Grep
version	1.14.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","customer-io","deployment","cloud-run","kubernetes"]
compatibility	Designed for Claude Code

Customer.io Deploy Pipeline

Overview

Deploy Customer.io integrations to production: GCP Cloud Run with Secret Manager, Vercel serverless functions, AWS Lambda with SSM, Kubernetes with external secrets, plus health check endpoints and blue-green deployment scripts.

Prerequisites

• CI/CD pipeline configured (see customerio-ci-integration)
• Cloud platform credentials and access
• Production Customer.io credentials in a secrets manager

Instructions

Step 1: Deploy to Google Cloud Run

# .github/workflows/deploy-cloud-run.yml
name: Deploy to Cloud Run
on:
  push:
    branches: [main]

jobs:
  deploy:
    runs-on: ubuntu-latest
    permissions:
      contents: read
      id-token: write  # Required for Workload Identity Federation
    steps:
      - uses: actions/checkout@v4

      - id: auth
        uses: google-github-actions/auth@v2
        with:
          workload_identity_provider: ${{ secrets.WIF_PROVIDER }}
          service_account: ${{ secrets.WIF_SA }}

      - uses: google-github-actions/setup-gcloud@v2