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Alexander Abakumov 15e744da49 Initial commit: Complete Software Architecture course with 11 modules
- Added comprehensive course structure with 11 modules
- Included theoretical content, practical examples, and tasks
- Multi-language code examples (Java, Rust, Node.js, Python)
- Detailed analysis of architectural approaches and trade-offs
- Complete caching strategies documentation
- Architecture examples from real-world systems (Twitter, Netflix, Uber)
- Structured navigation and learning path
- Ready for educational use
2025-09-09 22:08:07 +03:00

3.3 KiB

Capacity Planning

Навигация


Процесс планирования мощности

1. Current Capacity Analysis

// Анализ текущей производительности
@Component
public class CapacityAnalyzer {
    private final MeterRegistry meterRegistry;
    
    public CapacityAnalyzer(MeterRegistry meterRegistry) {
        this.meterRegistry = meterRegistry;
    }
    
    @Scheduled(fixedRate = 60000) // каждую минуту
    public void analyzeCapacity() {
        // Анализ CPU
        double cpuUsage = getCpuUsage();
        log.info("CPU usage: {}%", cpuUsage * 100);
        
        // Анализ памяти
        double memoryUsage = getMemoryUsage();
        log.info("Memory usage: {}%", memoryUsage * 100);
        
        // Анализ пропускной способности
        double throughput = getThroughput();
        log.info("Throughput: {} RPS", throughput);
        
        // Анализ задержки
        double latency = getLatency();
        log.info("Latency: {} ms", latency);
        
        // Предупреждения
        if (cpuUsage > 0.8) {
            log.warn("High CPU usage detected!");
        }
        if (memoryUsage > 0.8) {
            log.warn("High memory usage detected!");
        }
    }
}

2. Load Forecasting

// Прогнозирование нагрузки
@Service
public class LoadForecaster {
    @Autowired
    private MetricsRepository metricsRepository;
    
    public LoadForecast forecastLoad(int days) {
        // Получаем исторические данные
        List<MetricData> historicalData = metricsRepository
            .findByDateRange(LocalDateTime.now().minusDays(30), LocalDateTime.now());
        
        // Анализируем тренды
        double growthRate = calculateGrowthRate(historicalData);
        
        // Прогнозируем нагрузку
        double currentLoad = getCurrentLoad();
        double forecastedLoad = currentLoad * Math.pow(1 + growthRate, days);
        
        return new LoadForecast(forecastedLoad, growthRate, days);
    }
    
    private double calculateGrowthRate(List<MetricData> data) {
        // Простой расчет темпа роста
        if (data.size() < 2) return 0.0;
        
        double firstValue = data.get(0).getValue();
        double lastValue = data.get(data.size() - 1).getValue();
        
        return (lastValue - firstValue) / firstValue / data.size();
    }
}

3. Resource Planning

# Планирование ресурсов
capacity_planning:
  current_capacity:
    cpu: "4 cores"
    memory: "8 GB"
    storage: "100 GB"
    network: "1 Gbps"
  
  forecasted_load:
    peak_rps: 1000
    average_rps: 500
    growth_rate: "20% per month"
  
  resource_requirements:
    cpu:
      current: "80% utilization"
      target: "70% utilization"
      required: "6 cores"
    
    memory:
      current: "75% utilization"
      target: "65% utilization"
      required: "12 GB"
    
    storage:
      current: "60% utilization"
      target: "50% utilization"
      required: "150 GB"