/metrics-dashboard | cloudflare-deployment-observability

Display a comprehensive metrics dashboard for Cloudflare Workers and Pages deployments, including deployment metrics, performance data, CI/CD pipeline health, and Core Web Vitals.

What This Command Does

Deployment Metrics
- Deployment frequency
- Success/failure rate
- Mean time to deployment (MTTD)
- Rollback frequency
- Deployment duration trends
Performance Metrics
- Request latency (p50, p95, p99)
- Error rates
- Requests per second
- Cold start metrics
- Bundle size trends
CI/CD Pipeline Metrics
- Workflow success rate
- Pipeline duration
- Job-level performance
- GitHub Actions minutes usage
- Queue time analysis
Core Web Vitals
- LCP (Largest Contentful Paint)
- FID (First Input Delay)
- CLS (Cumulative Layout Shift)
- TTFB (Time to First Byte)

Usage

# Show all metrics
/cf-metrics-dashboard

# Specific time range
/cf-metrics-dashboard --range 7d
/cf-metrics-dashboard --range 24h
/cf-metrics-dashboard --range 30d

# Specific worker
/cf-metrics-dashboard --worker production-worker

# Specific environment
/cf-metrics-dashboard --env production

# Compare deployments
/cf-metrics-dashboard --compare abc123 xyz789

# Export to file
/cf-metrics-dashboard --export dashboard.json

# Specific metric groups
/cf-metrics-dashboard --metrics deployment,performance
/cf-metrics-dashboard --metrics cicd
/cf-metrics-dashboard --metrics web-vitals

Dashboard Output

Full Dashboard View

# Cloudflare Deployment Metrics Dashboard

**Worker**: production-worker
**Environment**: production
**Period**: Last 7 days
**Generated**: 2025-01-15 10:30:00 UTC

---

## 📊 Executive Summary

| Metric | Value | Trend | Status |
|--------|-------|-------|--------|
| Deployment Success Rate | 96% | ↑ +2% | ✅ Good |
| Average Deployment Time | 2m 45s | ↓ -15s | ✅ Good |
| Error Rate | 0.08% | ↓ -0.02% | ✅ Good |
| P95 Latency | 125ms | ↑ +10ms | ⚠️ Warning |
| Core Web Vitals Score | 92/100 | → 0 | ✅ Good |

---

## 🚀 Deployment Metrics

### Deployment Frequency

Week view: Mon ████████████ 12 deployments Tue ██████ 6 deployments Wed █████████ 9 deployments Thu ███████████ 11 deployments Fri ████████ 8 deployments Sat ████ 4 deployments Sun ██ 2 deployments

Total: 52 deployments Average: 7.4 deployments/day


### Deployment Success Rate

Last 7 days: 96% (50/52 successful) Last 30 days: 94% (198/210 successful)

Trend: ↑ Improving


### Deployment Duration
| Metric | Current | Previous | Change |
|--------|---------|----------|--------|
| Mean | 2m 45s | 3m 00s | ↓ -15s |
| P95 | 4m 30s | 5m 00s | ↓ -30s |
| P99 | 6m 15s | 7m 00s | ↓ -45s |
| Max | 8m 20s | 9m 30s | ↓ -1m 10s |

**Trend**: ✅ Improving (15% faster)

### Recent Deployments
| Time | Status | Duration | Commit | Environment |
|------|--------|----------|--------|-------------|
| 2h ago | ✅ Success | 2m 30s | abc123 | production |
| 4h ago | ✅ Success | 2m 45s | def456 | staging |
| 6h ago | ❌ Failed | 1m 20s | ghi789 | production |
| 8h ago | ✅ Success | 3m 10s | jkl012 | production |
| 10h ago | ✅ Success | 2m 55s | mno345 | staging |

### Rollback Activity

Total rollbacks (7d): 2 Rollback rate: 3.8%

Reasons:

Build failure: 1
Post-deployment errors: 1

Mean time to rollback: 5m 30s


---

## ⚡ Performance Metrics

### Request Latency

Current (last hour): p50: 45ms ████████████░░░░░░░░ p75: 82ms ████████████████░░░░ p95: 125ms █████████████████░░░ p99: 245ms ███████████████████░

Target thresholds: p50: <50ms ✅ Met p95: <200ms ✅ Met p99: <500ms ✅ Met


**7-day trend**:

Day 1: p95=115ms ████████████░ Day 2: p95=118ms █████████████░ Day 3: p95=120ms █████████████░ Day 4: p95=125ms ██████████████ Day 5: p95=122ms █████████████░ Day 6: p95=125ms ██████████████ Day 7: p95=125ms ██████████████

Trend: ↑ Slight increase (+10ms)


### Request Volume

Requests/second (current): 1,245 rps Requests/day (average): 107M requests

Peak: 2,180 rps (09:00 UTC) Trough: 340 rps (03:00 UTC)


### Error Rates
| Error Type | Count | Rate | Trend |
|------------|-------|------|-------|
| 5xx errors | 850 | 0.08% | ↓ Good |
| 4xx errors | 12,400 | 1.16% | → Stable |
| Timeouts | 120 | 0.01% | ↓ Good |
| Total | 13,370 | 1.25% | ↓ Good |

**Target**: <1% error rate for 5xx errors ✅ Met

### Cold Start Analysis

Cold starts (7d): 3,420 Cold start rate: 0.32% of requests

Duration distribution: p50: 180ms ████████████████░░░░ p95: 350ms ███████████████████░ p99: 520ms ████████████████████

Impact: Minimal (<0.5% of requests)


### Bundle Size

Current: 512 KB ████████████████░░░░ Maximum: 750 KB ████████████████████ Percentage: 68% of limit

7-day trend: Day 1: 505 KB ████████████████░░░░ Day 2: 508 KB ████████████████░░░░ Day 3: 510 KB ████████████████░░░░ Day 4: 512 KB ████████████████░░░░ Day 5: 512 KB ████████████████░░░░ Day 6: 512 KB ████████████████░░░░ Day 7: 512 KB ████████████████░░░░

Change: +7 KB (+1.4%) Status: ✅ Under control


---

## 🔄 CI/CD Pipeline Metrics

### GitHub Actions Performance

Workflow: Deploy to Cloudflare Total runs (7d): 52 Success rate: 96% (50/52)

Duration breakdown: ├─ Build job: 2m 15s (50%) ├─ Test job: 1m 30s (33%) └─ Deploy job: 45s (17%)

Total average: 4m 30s


### Job-Level Performance
| Job | Avg Duration | Success Rate | Trend |
|-----|--------------|--------------|-------|
| Build | 2m 15s | 98% | ↓ -10s |
| Test | 1m 30s | 96% | → 0s |
| Deploy | 45s | 100% | ↓ -5s |

### Cache Effectiveness

npm cache hit rate: 87% Build cache hit rate: 72%

Time saved by caching:

npm install: 1m 20s → 15s (saved 1m 05s)
Build: 2m 30s → 45s (saved 1m 45s)

Total time saved per run: 2m 50s


### GitHub Actions Minutes Usage

Total minutes (7d): 234 minutes Average per run: 4.5 minutes Projected monthly: ~1,000 minutes

Cost (estimated): $0.00 (within free tier)


### Failure Analysis

Failed runs (7d): 2

Failure breakdown:

Build failures: 1 (50%)
Test failures: 0 (0%)
Deployment failures: 1 (50%)

Mean time to fix: 15 minutes


---

## 🌐 Core Web Vitals

### Overall Score: 92/100 ✅

| Metric | Value | Target | Status | Trend |
|--------|-------|--------|--------|-------|
| LCP (p75) | 1.8s | <2.5s | ✅ Good | → Stable |
| FID (p75) | 45ms | <100ms | ✅ Good | ↓ Better |
| CLS (p75) | 0.05 | <0.1 | ✅ Good | → Stable |
| FCP (p75) | 1.2s | <1.8s | ✅ Good | → Stable |
| TTFB (p75) | 420ms | <600ms | ✅ Good | ↑ +20ms |

### LCP (Largest Contentful Paint)

Distribution: Good (<2.5s): ████████████████████ 89% ✅ Needs work (2.5-4s): ███ 8% ⚠️ Poor (>4s): █ 3% ❌

p75 value: 1.8s ✅ Good Target: <2.5s


### FID (First Input Delay)

Distribution: Good (<100ms): ████████████████████ 95% ✅ Needs work (100-300ms): █ 4% ⚠️ Poor (>300ms): ░ 1% ❌

p75 value: 45ms ✅ Good Target: <100ms


### CLS (Cumulative Layout Shift)

Distribution: Good (<0.1): ████████████████████ 92% ✅ Needs work (0.1-0.25): ██ 6% ⚠️ Poor (>0.25): ░ 2% ❌

p75 value: 0.05 ✅ Good Target: <0.1


### Geographic Performance
| Region | LCP | FID | CLS | Score |
|--------|-----|-----|-----|-------|
| US-East | 1.6s | 42ms | 0.04 | 95/100 ✅ |
| US-West | 1.7s | 44ms | 0.05 | 94/100 ✅ |
| EU-West | 1.9s | 48ms | 0.06 | 91/100 ✅ |
| APAC | 2.2s | 55ms | 0.07 | 88/100 ⚠️ |

**Note**: APAC region slightly slower, still meeting targets

---

## 📈 Trends & Insights

### Key Findings
1. ✅ Deployment speed improved 15% over last week
2. ⚠️ P95 latency increased by 10ms (monitoring)
3. ✅ Error rate decreased by 0.02%
4. ✅ Core Web Vitals stable and meeting targets
5. ✅ CI/CD pipeline optimized with caching

### Performance Regressions Detected
None. All metrics within acceptable thresholds.

### Recommendations
1. **Medium Priority**: Investigate P95 latency increase
   - Started: 3 days ago
   - Impact: +10ms (still within target)
   - Action: Review recent code changes

2. **Low Priority**: Optimize APAC region performance
   - LCP slightly higher (2.2s vs 1.8s average)
   - Still meeting targets (<2.5s)
   - Action: Consider regional caching strategy

### Upcoming Alerts
⚠️ Bundle size approaching 70% of limit
- Current: 512 KB / 750 KB
- Action: Plan bundle size optimization

---

## 📊 Historical Comparison

### vs. Last Week
| Metric | Current | Last Week | Change |
|--------|---------|-----------|--------|
| Deployment frequency | 52 | 48 | +4 (+8%) |
| Success rate | 96% | 94% | +2% |
| Avg deployment time | 2m 45s | 3m 00s | -15s (-8%) |
| Error rate | 0.08% | 0.10% | -0.02% |
| P95 latency | 125ms | 115ms | +10ms (+9%) |

### vs. Last Month
| Metric | Current | Last Month | Change |
|--------|---------|------------|--------|
| Deployment frequency | 52/wk | 45/wk | +7 (+16%) |
| Success rate | 96% | 92% | +4% |
| Avg deployment time | 2m 45s | 3m 30s | -45s (-21%) |
| Error rate | 0.08% | 0.12% | -0.04% |
| P95 latency | 125ms | 130ms | -5ms (-4%) |

---

## 🎯 SLO Status

### Service Level Objectives
| SLO | Target | Current | Status | Remaining Error Budget |
|-----|--------|---------|--------|------------------------|
| Availability | 99.9% | 99.92% | ✅ Met | 80% remaining |
| P95 Latency | <200ms | 125ms | ✅ Met | 37% used |
| Error Rate | <1% | 0.08% | ✅ Met | 92% remaining |
| Deployment Success | >95% | 96% | ✅ Met | 20% buffer |

**Error Budget Status**: ✅ Healthy
- 80% error budget remaining
- Current burn rate: Low
- Projected to meet SLOs for next 30 days

---

## 🔔 Active Alerts

No active alerts. All systems operational. ✅

---

## 💡 Next Actions

1. Continue monitoring P95 latency trend
2. Review code changes from last 3 days
3. Plan bundle size optimization for next sprint
4. Consider APAC region caching improvements

---

**Report Generated**: 2025-01-15 10:30:00 UTC
**Next Update**: Automatic (every hour) or run `/cf-metrics-dashboard` anytime

Metric Categories

1. Deployment Metrics

Frequency: Deployments per day/week
Success Rate: % of successful deployments
Duration: Time to complete deployment
Rollback Rate: Frequency of rollbacks
MTTD: Mean Time To Deployment

2. Performance Metrics

Latency: p50, p95, p99 response times
Error Rates: 4xx, 5xx, timeout errors
Throughput: Requests per second
Cold Starts: Frequency and duration
Bundle Size: Size trends

3. CI/CD Metrics

Workflow Success Rate: GitHub Actions success %
Pipeline Duration: Total workflow time
Job Performance: Individual job times
Cache Hit Rate: Effectiveness of caching
GitHub Actions Minutes: Usage tracking

4. User Experience Metrics

Core Web Vitals: LCP, FID, CLS
TTFB: Time to First Byte
FCP: First Contentful Paint
Geographic Performance: Regional metrics

Advanced Features

Metric Comparison

Compare different deployments:

/cf-metrics-dashboard --compare abc123 xyz789

Output shows side-by-side comparison with deltas.

Custom Time Ranges

# Last 24 hours
/cf-metrics-dashboard --range 24h

# Last 7 days (default)
/cf-metrics-dashboard --range 7d

# Last 30 days
/cf-metrics-dashboard --range 30d

# Custom range
/cf-metrics-dashboard --from 2025-01-01 --to 2025-01-15

Filtered Views

Show specific metric categories:

# Only deployment metrics
/cf-metrics-dashboard --metrics deployment

# Only performance metrics
/cf-metrics-dashboard --metrics performance

# Multiple categories
/cf-metrics-dashboard --metrics deployment,performance,cicd

Export Options

# Export to JSON
/cf-metrics-dashboard --export dashboard.json

# Export to CSV
/cf-metrics-dashboard --export metrics.csv

# Send to monitoring platform
/cf-metrics-dashboard --export datadog

Integration

With Monitoring Tools

Send metrics to external platforms:

Datadog: Send metrics and events
Sentry: Performance monitoring
Grafana: Custom dashboards
CloudWatch: AWS integration

With Alerting

Set up alerts based on thresholds:

{
  "alerts": [
    {
      "metric": "deployment_success_rate",
      "threshold": 0.95,
      "operator": "<",
      "action": "notify_slack"
    },
    {
      "metric": "p95_latency_ms",
      "threshold": 200,
      "operator": ">",
      "action": "create_incident"
    }
  ]
}

Best Practices

Regular Review
- Check dashboard daily
- Review weekly trends
- Monthly deep dives
Threshold Monitoring
- Set up alerts for SLO violations
- Track error budget consumption
- Monitor trend changes
Historical Analysis
- Compare with previous periods
- Identify seasonal patterns
- Track long-term improvements
Actionable Insights
- Focus on trends, not just absolute values
- Investigate significant changes
- Correlate metrics with deployments

Related Commands

/cf-deployment-status - Check current deployment status
/cf-logs-analyze - Analyze logs for errors
Use cloudflare-performance-tracker agent for detailed performance analysis
Use cloudflare-deployment-monitor agent for active monitoring

Configuration

Customize dashboard settings:

// .claude/settings.json
{
  "cloudflare-metrics": {
    "default_range": "7d",
    "default_worker": "production-worker",
    "refresh_interval": "1h",
    "thresholds": {
      "p95_latency_ms": 200,
      "error_rate": 0.01,
      "deployment_success_rate": 0.95
    },
    "web_vitals_targets": {
      "lcp": 2.5,
      "fid": 100,
      "cls": 0.1
    }
  }
}

Troubleshooting

No metrics available:

Check Cloudflare API access
Verify worker name
Ensure analytics are enabled

Incomplete data:

Analytics may have delay (up to 5 minutes)
Check date range
Verify data retention settings

Metrics don't match other tools:

Check time zone differences
Verify aggregation methods
Compare data sources