跳到正文
cccskills
免费在 GitHub 公开

apollo-deploy-integration

Prepare Apollo.io integrations for production on Vercel, GCP Cloud Run, or Kubernetes. Provides deployment configurations, secure API key handling, connectivity health checks, and validation scripts to check readiness before release.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

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".

实测评分 未实测

查看安装方法

适用场景

  • Deploy an Apollo.io integration to production
  • Configure deployment secrets
  • Add Apollo API connectivity health checks
  • Validate a build and authentication before release

包含的文件(2)

  • SKILL.md6.9 KB
  • references/implementation-guide.md9.0 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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.

// 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

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"]
# 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

{
  "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" }
}
vercel secrets add apollo-api-key "$APOLLO_API_KEY"
vercel --prod

Step 4: Deploy to Kubernetes

# 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

// 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

IssueResolution
Health check 503Check APOLLO_API_KEY secret is mounted correctly
Container crash loopReview startup logs, verify secret names match
Rollback neededgcloud run deploy --revision, vercel rollback, or kubectl rollout undo
Secret rotationUpdate secret, redeploy — health check confirms new key works

Resources

Next Steps

Proceed to apollo-webhooks-events for webhook implementation.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Add a synthetic-data CI gate for customer-owned Abridge integration code. Test consent handling, note-review handoffs, redaction, and rollback behavior with mocked vendor boundaries, without connecting CI to a live Abridge or EHR tenant.

中文简介正在准备中。当前显示英语简介。

  • Adding regression checks to an Abridge integration repository
  • Testing consent and note-release handling
  • Checking logs for sensitive data exposure
jeremylongshore/tons-of-skills-marketplace28692026年10月25日 更新

Triage Abridge recording, note review, Epic handoff, and access problems using observed symptoms and approved guidance. Identify the affected workflow stage, organize a minimal timeline, and prepare a redacted escalation record for the responsible team.

中文简介正在准备中。当前显示英语简介。

  • Separate recording problems from upload failures
  • Investigate note creation delays and editor issues
  • Identify the responsible team for Epic handoff failures
jeremylongshore/tons-of-skills-marketplace28692026年10月25日 更新

Map and review an Abridge clinical documentation workflow from consent and recording through draft review, evidence checks, edits, and final disposition. Keep clinician approval explicit, identify failure exits, and separate verified facts from tenant-specific details and pending approvals.

中文简介正在准备中。当前显示英语简介。

  • Map a clinical note workflow for a care setting
  • Check where consent and patient identity are verified
  • Review draft notes against linked evidence before sign-off
jeremylongshore/tons-of-skills-marketplace28692026年10月25日 更新

Audit how clinician-reviewed Abridge note sections map into Epic templates and downstream workflows. Use approved test records to document destinations, exceptions, evidence, rollback steps, and a go or no-go decision for a specific environment.

中文简介正在准备中。当前显示英语简介。

  • Checking Abridge note section mappings to Epic templates
  • Auditing a department’s approved documentation handoff
  • Preparing test evidence and a go or no-go decision
jeremylongshore/tons-of-skills-marketplace28692026年10月25日 更新

Review Abridge adoption and workflow value using local usage records, clinician feedback, and verified contract costs. Build an evidence based decision table covering adoption, quality, support burden, and options to expand, hold, or improve the rollout.

中文简介正在准备中。当前显示英语简介。

  • Reviewing adoption after an Abridge rollout
  • Preparing evidence for a renewal decision
  • Comparing workflow outcomes across care settings
jeremylongshore/tons-of-skills-marketplace28692026年10月25日 更新

Prepare a bounded support bundle for an Abridge issue using allowlisted operational details such as versions, coarse timestamps, and correlation references. Exclude recordings, transcripts, patient identifiers, credentials, and unrestricted logs, then document redactions and review details.

中文简介正在准备中。当前显示英语简介。

  • Preparing reviewed evidence for an Abridge support case
  • Documenting redactions and excluded data
  • Collecting approved operational details for an incident
jeremylongshore/tons-of-skills-marketplace28692026年10月25日 更新

查看 jeremylongshore 的全部技能

报告此技能的问题