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salesforce-deploy-integration

'Deploy Salesforce-connected applications to Heroku, Vercel, and Cloud

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2,267
Source
jeremylongshore/claude-code-plugins-plus-skills
Updated
2026-05-31
Slug
jeremylongshore--claude-code-plugins-plus-skills--salesforce-deploy-integration
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/jeremylongshore/claude-code-plugins-plus-skills/HEAD/plugins/saas-packs/salesforce-pack/skills/salesforce-deploy-integration/SKILL.md -o .claude/skills/salesforce-deploy-integration.md

Drops the SKILL.md into .claude/skills/salesforce-deploy-integration.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

Salesforce Deploy Integration

Overview

Deploy Salesforce-connected Node.js applications to Heroku (native SF integration), Vercel, or Cloud Run with JWT authentication and proper secrets management.

Prerequisites

  • Salesforce Connected App with JWT Bearer flow
  • RSA key pair for server-to-server auth
  • Platform CLI installed (heroku, vercel, or gcloud)
  • Application tested against sandbox

Instructions

Heroku Deployment (Recommended for Salesforce)

Heroku has native Salesforce integration via Heroku Connect (bi-directional data sync).

# Create Heroku app
heroku create my-sf-app

# Set Salesforce credentials as config vars
heroku config:set SF_LOGIN_URL=https://login.salesforce.com
heroku config:set SF_CLIENT_ID=3MVG9...
heroku config:set SF_USERNAME=integration@yourcompany.com
heroku config:set SF_JWT_KEY="$(cat server.key)"

# Deploy
git push heroku main

# Optional: Add Heroku Connect for bi-directional sync
heroku addons:create herokuconnect:demo
heroku connect:authorize
# Map sObjects: Account, Contact, Opportunity → Postgres tables

Vercel Deployment (Serverless)

# Add Salesforce secrets
vercel env add SF_LOGIN_URL production
vercel env add SF_CLIENT_ID production
vercel env add SF_USERNAME production
vercel env add SF_JWT_KEY production  # Paste private key content

# Deploy
vercel --prod
{
  "functions": {
    "api/**/*.ts": {
      "maxDuration": 30
    }
  }
}
// api/salesforce/accounts.ts — Vercel serverless function
import jsforce from 'jsforce';

export default async function handler(req, res) {
  const conn = new jsforce.Connection({
    loginUrl: process.env.SF_LOGIN_URL,
  });

  // JWT auth — no password needed
  await conn.authorize({
    grant_type: 'urn:ietf:params:oauth:grant-type:jwt-bearer',
    client_id: process.env.SF_CLIENT_ID!,
    username: process.env.SF_USERNAME!,
    privateKey: process.env.SF_JWT_KEY!,
  });

  const accounts = await conn.query(
    'SELECT Id, Name, Industry FROM Account ORDER BY CreatedDate DESC LIMIT 10'
  );

  res.json({ accounts: accounts.records });
}

Google Cloud Run

FROM node:20-slim
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
CMD ["npm", "start"]
# Store JWT key in Secret Manager
echo -n "$(cat server.key)" | gcloud secrets create sf-jwt-key --data-file=-

# Build and deploy
gcloud builds submit --tag gcr.io/$PROJECT_ID/sf-service

gcloud run deploy sf-service \
  --image gcr.io/$PROJECT_ID/sf-service \
  --region us-central1 \
  --platform managed \
  --set-env-vars SF_LOGIN_URL=https://login.salesforce.com \
  --set-env-vars SF_CLIENT_ID=3MVG9... \
  --set-env-vars SF_USERNAME=integration@yourcompany.com \
  --set-secrets=SF_JWT_KEY=sf-jwt-key:latest

Health Check Pattern

// health.ts — include in every deployment
export async function healthCheck() {
  const conn = new jsforce.Connection({ loginUrl: process.env.SF_LOGIN_URL });

  try {
    await conn.authorize({ /* JWT params */ });
    const limits = await conn.request('/services/data/v59.0/limits/');
    const apiRemaining = limits.DailyApiRequests.Remaining;

    return {
      status: apiRemaining > 1000 ? 'healthy' : 'degraded',
      salesforce: {
        connected: true,
        instance: conn.instanceUrl,
        apiRemaining,
      },
    };
  } catch (error: any) {
    return {
      status: 'unhealthy',
      salesforce: { connected: false, error: error.message },
    };
  }
}

Output

  • Application deployed to production platform
  • JWT authentication configured (no passwords in config)
  • Salesforce secrets stored in platform-native secrets manager
  • Health check endpoint verifying Salesforce connectivity
  • API limit monitoring active

Error Handling

Issue Cause Solution
INVALID_GRANT on deploy JWT key format issue Ensure full private key including headers
Cold start timeout Connection + auth on every request Cache connection or use connection pooling
Health check fails Wrong SF_LOGIN_URL login.salesforce.com for prod, test.salesforce.com for sandbox
Secret not found Wrong secret name Verify with platform-specific secret list command

Examples

Deploy an integration with a verified rollback path

Deploy an immutable application build to a preview or staging environment that connects to a sandbox Salesforce org through a scoped JWT identity. Confirm the health endpoint uses a synthetic query and that secrets are loaded only from the platform secret manager. Promote after the integration tests and API-limit checks pass, recording the previous build identifier. If connectivity or error thresholds regress, restore the recorded build and avoid changing production Salesforce credentials during incident containment.

Resources

Next Steps

For event handling, see salesforce-webhooks-events.