Pertemuan 7: Evaluasi Performa & Biaya
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Evaluasi Performa & Biaya Cloud
Analisis Komprehensif Solusi Cloud
Data-Driven Decision Making: Pelajari teknik evaluasi performa dan biaya
untuk optimasi solusi cloud di berbagai platform termasuk OpenNebula.
Navigasi Cepat
Tujuan Pembelajaran
Analisis Metrik Performa
Memahami dan mengukur critical performance metrics di lingkungan cloud
Evaluasi Biaya dan ROI
Total Cost of Ownership (TCO) analysis dan cost optimization strategies
Optimasi Multi-Platform
Performance dan cost optimization untuk AWS, OpenNebula, dan Huawei Cloud
Performance Metrics Dashboard
Real-time Performance Metrics
0%
Error Rate
100%
Availability
0ms
Response Time
0/s
Throughput
100/100
Performance Score
Performance Metrics Calculator
Real-timeCloud Platform Performance Benchmark
| Platform | Avg Response Time | P95 Response Time | Throughput | Error Rate | Cost per 1M Requests | Performance Score |
|---|---|---|---|---|---|---|
| AWS Lambda | 145ms | 280ms | 1,250/s | 0.8% | $0.20 | 92/100 |
| OpenNebula VM | 89ms | 165ms | 2,100/s | 0.2% | $0.15 | 95/100 |
| Huawei FunctionGraph | 168ms | 320ms | 980/s | 1.2% | $0.18 | 85/100 |
| Azure Functions | 152ms | 295ms | 1,100/s | 0.9% | $0.22 | 88/100 |
Cloud Cost Analysis
Total Cost of Ownership (TCO) Calculator
Infrastructure Costs
Operational Costs
Enter values above to calculate TCO
Monthly Cost Comparison by Platform
AWS
OpenNebula
Huawei Cloud
Azure
Load Testing & Performance Analysis
Load Testing Simulation
Configure and run load test to see results
Load Distribution Over Time
OpenNebula Performance & Cost Analysis
OpenNebula Performance Monitoring
OpenNebula menyediakan comprehensive monitoring capabilities untuk performance dan cost analysis di lingkungan private cloud.
Performance Monitoring Script
#!/bin/bash
# opennebula-performance-monitor.sh
# Monitor VM performance metrics
echo "=== OpenNebula Performance Metrics ==="
# CPU Utilization
CPU_USAGE=$(onevm show $VM_ID | grep CPU | awk '{print $3}')
echo "CPU Usage: $CPU_USAGE%"
# Memory Usage
MEMORY_USAGE=$(onevm show $VM_ID | grep MEMORY | awk '{print $3}')
echo "Memory Usage: $MEMORY_USAGE MB"
# Disk I/O
DISK_IO=$(onevm show $VM_ID | grep DISK | awk '{print $4}')
echo "Disk I/O: $DISK_IO ops/s"
# Network throughput
NETWORK=$(onevm show $VM_ID | grep NETWORK | awk '{print $5}')
echo "Network: $NETWORK Mbps"
# Cost calculation
COST_PER_HOUR=$(echo "scale=4; $CPU_USAGE * 0.02 + $MEMORY_USAGE * 0.001" | bc)
echo "Estimated Cost: \$$COST_PER_HOUR/hour"
Cost Analysis Configuration
# OpenNebula Cost Analysis Template
COST_TEMPLATE = {
"cpu_cost_per_hour": 0.02,
"memory_cost_per_gb_hour": 0.01,
"storage_cost_per_gb_month": 0.10,
"bandwidth_cost_per_gb": 0.05,
"labor_cost_per_month": 5000,
"metrics": {
"cpu_utilization": "AVG(CPU_USAGE)",
"memory_utilization": "AVG(MEMORY_USAGE)",
"storage_usage": "SUM(DISK_SIZE)",
"network_usage": "SUM(NETWORK_TRAFFIC)"
},
"calculation": """
total_cost = (cpu_hours * cpu_cost) +
(memory_gb_hours * memory_cost) +
(storage_gb * storage_cost) +
(bandwidth_gb * bandwidth_cost) +
labor_cost
"""
}
OpenNebula vs Public Cloud TCO Analysis
3-Year Projection
# 3-Year TCO Comparison (for 100 VMs)
PLATFORM_COMPARISON = {
"opennebula": {
"hardware_capex": 50000,
"software_licensing": 15000,
"annual_maintenance": 10000,
"power_cooling": 5000,
"labor_costs": 180000,
"total_3_year": 255000
},
"aws_ec2": {
"instance_costs": 216000,
"storage_costs": 36000,
"bandwidth_costs": 24000,
"support_costs": 15000,
"total_3_year": 291000
},
"savings": {
"absolute": 36000,
"percentage": 12.4,
"payback_period": "22 months"
}
}
Cost Optimization High Impact
OpenNebula-Specific Strategies:
- Right-size VM templates berdasarkan actual usage
- Implementasi auto-scaling dengan OneFlow
- Utilize spot instances untuk batch workloads
- Storage tiering dengan Ceph configuration
Estimated Savings: 30-40% reduction in infrastructure costs
Performance Optimization Medium Impact
OpenNebula Performance Tuning:
- KVM optimization untuk better CPU performance
- Network configuration dengan SR-IOV
- Storage optimization dengan SSD caching
- Memory ballooning dan transparent huge pages
Performance Gain: 15-25% improvement in application throughput
Operational Efficiency High Impact
Automation & Management:
- Infrastructure as Code dengan Terraform
- Automated backup dan disaster recovery
- Centralized logging dan monitoring
- Self-service portal untuk developers
Efficiency Gain: 50% reduction in operational overhead
Tugas Praktikum & Assessment
Tugas Analisis Performa & Biaya Cloud
Tugas 1: Performance Benchmark
Comparative analysis across platforms:
- Load testing dengan 1000 concurrent users
- Response time dan throughput measurement
- Error rate dan availability analysis
- Resource utilization metrics
Nilai: 35%
Tugas 2: TCO Analysis
Comprehensive cost analysis:
- 3-year TCO projection
- Infrastructure vs operational costs
- ROI calculation
- Cost optimization recommendations
Nilai: 35%
Tugas 3: OpenNebula Optimization
Private cloud performance tuning:
- VM template optimization
- Resource utilization analysis
- Cost-benefit analysis
- Automation implementation
Nilai: 30%
Deliverables & Timeline
📊
Performance Report
Benchmark results
💰
TCO Analysis
Cost breakdown
⚡
Optimization Plan
Actionable recommendations
📝
Executive Summary
Business case
Kriteria Penilaian
Performance Analysis (40%)
- Comprehensive benchmark results
- Accurate performance metrics
- Meaningful comparisons
- Identification of bottlenecks
Cost Analysis (35%)
- Accurate TCO calculations
- Complete cost breakdown
- ROI analysis
- Cost optimization strategies
Recommendations (25%)
- Actionable optimization plans
- Platform-specific recommendations
- Implementation roadmap
- Business impact analysis
Analysis Resources & Tools
Performance Tools
Cost Analysis Tools
Learning Resources
- Cloud Economics Best Practices
- Performance Testing Methodology
- TCO Analysis Framework
- Capacity Planning Guide