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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

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# Capacity Planning
## Навигация
- [🏠 Главная страница курса](../../../README.md)
- [📚 Модуль 10](../README.md)
---
## Процесс планирования мощности
### 1. Current Capacity Analysis
```java
// 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
```java
// 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
```yaml
# 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"
```