brightdata-prod-checklist

Execute Bright Data production deployment checklist and rollback procedures. Use when deploying Bright Data integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "brightdata production", "deploy brightdata", "brightdata go-live", "brightdata launch checklist".

25 stars

Best use case

brightdata-prod-checklist is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Execute Bright Data production deployment checklist and rollback procedures. Use when deploying Bright Data integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "brightdata production", "deploy brightdata", "brightdata go-live", "brightdata launch checklist".

Teams using brightdata-prod-checklist should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/brightdata-prod-checklist/SKILL.md --create-dirs "https://raw.githubusercontent.com/ComeOnOliver/skillshub/main/skills/jeremylongshore/claude-code-plugins-plus-skills/brightdata-prod-checklist/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/brightdata-prod-checklist/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How brightdata-prod-checklist Compares

Feature / Agentbrightdata-prod-checklistStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Execute Bright Data production deployment checklist and rollback procedures. Use when deploying Bright Data integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "brightdata production", "deploy brightdata", "brightdata go-live", "brightdata launch checklist".

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Bright Data Production Checklist

## Overview

Complete checklist for deploying Bright Data scraping integrations to production with zone verification, monitoring, and rollback procedures.

## Prerequisites

- Staging environment tested
- Production zone credentials in secrets vault
- Monitoring and alerting configured

## Instructions

### Step 1: Zone and Credential Verification

- [ ] Production zone active in Bright Data CP
- [ ] Zone password stored in secrets vault (not `.env`)
- [ ] API token scoped to production zone only
- [ ] SSL certificate (`brd-ca.crt`) deployed
- [ ] Separate zone from development/staging

```bash
# Verify production zone is active
curl -s -H "Authorization: Bearer ${BRIGHTDATA_API_TOKEN}" \
  https://api.brightdata.com/zone/get_active_zones \
  | python3 -c "import sys,json; zones=json.load(sys.stdin); print([z['name'] for z in zones])"

# Test production proxy connectivity
curl -x "http://brd-customer-${BRIGHTDATA_CUSTOMER_ID}-zone-${BRIGHTDATA_ZONE}:${BRIGHTDATA_ZONE_PASSWORD}@brd.superproxy.io:33335" \
  -s -w "HTTP %{http_code} in %{time_total}s\n" \
  https://lumtest.com/myip.json
```

### Step 2: Code Quality

- [ ] No hardcoded credentials (grep for passwords, tokens)
- [ ] Retry logic with exponential backoff (see `brightdata-rate-limits`)
- [ ] Request queuing with concurrency limits (p-queue)
- [ ] Response validation (check for CAPTCHA pages, empty responses)
- [ ] Timeout set to 60-120s for Web Unlocker
- [ ] Error logging includes `X-Luminati-Error` headers

### Step 3: Infrastructure

- [ ] Health check endpoint tests proxy connectivity
- [ ] Monitoring tracks proxy response times, error rates
- [ ] Budget alerts configured in Bright Data CP
- [ ] Circuit breaker for proxy failures

```typescript
// Health check endpoint
export async function healthCheck() {
  const start = Date.now();
  try {
    const client = getBrightDataClient();
    const res = await client.get('https://lumtest.com/myip.json');
    return {
      status: 'healthy',
      proxy_ip: res.data.ip,
      latency_ms: Date.now() - start,
    };
  } catch (error: any) {
    return {
      status: 'degraded',
      error: error.response?.headers?.['x-luminati-error'] || error.message,
      latency_ms: Date.now() - start,
    };
  }
}
```

### Step 4: Monitoring and Alerts

| Alert | Condition | Severity |
|-------|-----------|----------|
| Proxy down | 5xx errors > 10/min | P1 |
| High latency | p99 > 30s | P2 |
| Budget spike | Daily cost > 2x average | P2 |
| Auth failures | 407 errors > 0 | P1 |
| Target blocked | `target_site_blocked` > 20% | P3 |

### Step 5: Gradual Rollout

```bash
# Pre-flight
curl -s https://status.brightdata.com/api/v2/status.json | python3 -c "import sys,json; s=json.load(sys.stdin); print(f'Status: {s[\"status\"][\"description\"]}')"

# Deploy with canary
kubectl apply -f k8s/production.yaml
kubectl rollout status deployment/scraper --timeout=300s

# Verify scraping works post-deploy
curl -s http://localhost:8080/health | python3 -m json.tool
```

## Rollback Procedure

```bash
# Immediate rollback
kubectl rollout undo deployment/scraper
kubectl rollout status deployment/scraper

# If zone compromised, pause in Bright Data CP immediately
```

## Output

- Verified production zone and credentials
- Health check endpoint monitoring proxy connectivity
- Alert rules for proxy errors and budget spikes
- Documented rollback procedure

## Resources

- [Bright Data Status](https://status.brightdata.com)
- [Zone Management](https://brightdata.com/cp/zones)
- [Usage Dashboard](https://brightdata.com/cp/usage)

## Next Steps

For version upgrades, see `brightdata-upgrade-migration`.

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