---
name: apollo-deploy-integration
description: 'Deploy Apollo.io integrations to production.

  Use when deploying Apollo integrations, configuring production environments,

  or setting up deployment pipelines.

  Trigger with phrases like "deploy apollo", "apollo production deploy",

  "apollo deployment pipeline", "apollo to production".

  '
allowed-tools: Read, Write, Edit, Bash(gh:*), Bash(curl:*)
version: 1.13.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- apollo
- deployment
compatibility: Designed for Claude Code
---
# Apollo Deploy Integration

## Overview

Deploy Apollo.io integrations to production with configurations for Vercel, GCP Cloud Run, and Kubernetes. All configurations use `x-api-key` header auth, health check endpoints verifying Apollo connectivity, and secret management best practices.

## Prerequisites

- Valid Apollo master API key
- Node.js 18+
- Target platform CLI installed (vercel, gcloud, or kubectl)

## Instructions

### Step 1: Health Check Endpoint

Every deployment needs a health endpoint that verifies Apollo API connectivity.

```typescript
// src/health.ts
import axios from 'axios';
import { Router } from 'express';

export const healthRouter = Router();

healthRouter.get('/health', async (req, res) => {
  const checks: Record<string, string> = {
    apiKey: process.env.APOLLO_API_KEY ? 'set' : 'MISSING',
    nodeEnv: process.env.NODE_ENV ?? 'not set',
  };

  try {
    const start = Date.now();
    const resp = await axios.get('https://api.apollo.io/api/v1/auth/health', {
      headers: { 'x-api-key': process.env.APOLLO_API_KEY! },
      timeout: 5000,
    });
    checks.apollo = resp.data.is_logged_in ? `ok (${Date.now() - start}ms)` : 'invalid key';
  } catch (err: any) {
    checks.apollo = `error: ${err.response?.status ?? err.message}`;
  }

  const healthy = checks.apollo.startsWith('ok') && checks.apiKey === 'set';
  res.status(healthy ? 200 : 503).json({ status: healthy ? 'healthy' : 'unhealthy', checks });
});
```

### Step 2: Deploy to GCP Cloud Run

```dockerfile
FROM node:20-slim AS build
WORKDIR /app
COPY package*.json ./
RUN npm ci --production=false
COPY . .
RUN npm run build

FROM node:20-slim
WORKDIR /app
COPY --from=build /app/dist ./dist
COPY --from=build /app/node_modules ./node_modules
COPY package*.json ./
EXPOSE 8080
CMD ["node", "dist/index.js"]
```

```bash
# Store API key in GCP Secret Manager
echo -n "$APOLLO_API_KEY" | gcloud secrets create apollo-api-key --data-file=-

# Deploy with secret injection
gcloud run deploy apollo-integration \
  --source . \
  --region us-central1 \
  --set-secrets "APOLLO_API_KEY=apollo-api-key:latest" \
  --set-env-vars "NODE_ENV=production" \
  --min-instances 1 --max-instances 10 \
  --port 8080
```

### Step 3: Deploy to Vercel

```json
{
  "name": "apollo-integration",
  "builds": [{ "src": "src/index.ts", "use": "@vercel/node" }],
  "routes": [{ "src": "/(.*)", "dest": "src/index.ts" }],
  "env": { "APOLLO_API_KEY": "@apollo-api-key", "NODE_ENV": "production" }
}
```

```bash
vercel secrets add apollo-api-key "$APOLLO_API_KEY"
vercel --prod
```

### Step 4: Deploy to Kubernetes

```yaml
# k8s/deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: apollo-integration
spec:
  replicas: 2
  selector:
    matchLabels: { app: apollo-integration }
  template:
    metadata:
      labels: { app: apollo-integration }
    spec:
      containers:
        - name: apollo
          image: gcr.io/my-project/apollo-integration:latest
          ports: [{ containerPort: 8080 }]
          envFrom:
            - secretRef: { name: apollo-credentials }
          env:
            - { name: NODE_ENV, value: "production" }
          livenessProbe:
            httpGet: { path: /health, port: 8080 }
            initialDelaySeconds: 10
            periodSeconds: 30
          readinessProbe:
            httpGet: { path: /health, port: 8080 }
            initialDelaySeconds: 5
            periodSeconds: 10
          resources:
            requests: { memory: "128Mi", cpu: "100m" }
            limits: { memory: "256Mi", cpu: "500m" }
---
apiVersion: v1
kind: Secret
metadata:
  name: apollo-credentials
type: Opaque
stringData:
  APOLLO_API_KEY: "your-master-key-here"
```

### Step 5: Pre-Deploy Validation

```typescript
// src/scripts/pre-deploy.ts
async function preDeployCheck() {
  const checks: Array<{ name: string; pass: boolean }> = [];

  // API key set
  checks.push({ name: 'APOLLO_API_KEY set', pass: !!process.env.APOLLO_API_KEY });

  // Auth works
  try {
    const resp = await axios.get('https://api.apollo.io/api/v1/auth/health', {
      headers: { 'x-api-key': process.env.APOLLO_API_KEY! },
    });
    checks.push({ name: 'Apollo auth valid', pass: resp.data.is_logged_in });
  } catch { checks.push({ name: 'Apollo auth valid', pass: false }); }

  // Build succeeds
  try {
    const { execSync } = await import('child_process');
    execSync('npm run build', { stdio: 'pipe' });
    checks.push({ name: 'Build succeeds', pass: true });
  } catch { checks.push({ name: 'Build succeeds', pass: false }); }

  const allPass = checks.every((c) => c.pass);
  checks.forEach((c) => console.log(`${c.pass ? 'PASS' : 'FAIL'} ${c.name}`));
  console.log(`\nDeploy: ${allPass ? 'READY' : 'BLOCKED'}`);
  process.exit(allPass ? 0 : 1);
}
preDeployCheck();
```

## Output

- Express health check endpoint verifying Apollo connectivity
- GCP Cloud Run deployment with Secret Manager integration
- Vercel deployment with encrypted secrets
- Kubernetes manifests with liveness/readiness probes
- Pre-deploy validation script

## Examples

For a Cloud Run release, create the production secret through the platform’s
secret manager rather than applying the placeholder Kubernetes `stringData`
example. Deploy one revision with a restricted service identity, wait for the
pre-deploy checks and readiness probe to succeed, and issue a redacted health
request from the approved monitoring path. Promote traffic gradually while
tracking provider authentication failures and request latency. If the new
revision returns `503`, halt promotion and send traffic back to the last known
healthy revision; do not diagnose by printing or replacing the secret in a
shell command, manifest, or application log.

## Error Handling

| Issue | Resolution |
|-------|------------|
| Health check 503 | Check APOLLO_API_KEY secret is mounted correctly |
| Container crash loop | Review startup logs, verify secret names match |
| Rollback needed | `gcloud run deploy --revision`, `vercel rollback`, or `kubectl rollout undo` |
| Secret rotation | Update secret, redeploy — health check confirms new key works |

## Resources

- [GCP Secret Manager](https://cloud.google.com/secret-manager/docs)
- [Vercel Environment Variables](https://vercel.com/docs/concepts/projects/environment-variables)
- [Kubernetes Probes](https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/)

## Next Steps

Proceed to `apollo-webhooks-events` for webhook implementation.


---
Source attribution: jeremylongshore
Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/saas-packs/apollo-pack/skills/apollo-deploy-integration/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 Jeremy Longshore

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: jeremylongshore
Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/saas-packs/apollo-pack/skills/apollo-deploy-integration/SKILL.md
Attribution basis: Source repository record

Fields of work: Marketing, Product Management, Sales
Roles: Business Development, Growth Marketer, Product Marketer, Sales Engineer, Technical Product Manager
Specialties: API, Backend, Design, DevOps, Frontend, Mobile, Testing
Tools: AWS, GCP, Kubernetes, Vercel
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 253b4a58fa53b2a608dd8245f5211981eb7bf73f0a0f83dec86b47f320378d9f
