basic_monitoring_example.cpp File Reference

Basic example demonstrating simple monitoring setup. More...

#include <iostream>
#include <thread>
#include <chrono>
#include "kcenon/monitoring/interfaces/monitoring_core.h"
#include "kcenon/monitoring/core/performance_monitor.h"
#include "kcenon/monitoring/storage/storage_backends.h"
#include "kcenon/monitoring/core/result_types.h"

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Functions
int	main ()

Detailed Description

Basic example demonstrating simple monitoring setup.

Definition in file basic_monitoring_example.cpp.

Function Documentation

main()

int main

(

)

Definition at line 29 of file basic_monitoring_example.cpp.

           {
    std::cout << "=== Basic Monitoring Example ===" << std::endl;
    
    try {
        // Step 1: Configure the monitoring system
        monitoring_config config;
        config.history_size = 1000;
        config.collection_interval = std::chrono::milliseconds(1000);
        config.enable_compression = false;  // Keep it simple for this example
        
        std::cout << "1. Creating monitoring system with configuration:" << std::endl;
        std::cout << "   - History size: " << config.history_size << std::endl;
        std::cout << "   - Collection interval: 1000ms" << std::endl;
        
        // Step 2: Create performance monitor directly (simplified for example)
        performance_monitor perf_monitor("example_monitor");
        
        // Step 3: Initialize performance monitor
        if (auto result = perf_monitor.initialize(); result.is_err()) {
            std::cerr << "Failed to initialize performance monitor: "
                     << result.error().message << std::endl;
            return 1;
        }
        
        std::cout << "2. Initialized performance monitor" << std::endl;
        
        // Step 4: Configure and add storage backend
        storage_config storage_cfg;
        storage_cfg.type = storage_backend_type::file_json;
        storage_cfg.path = "monitoring_data.json";
        
        auto storage = std::make_unique<file_storage_backend>(storage_cfg);
        
        // Storage backend is ready to use
        
        // Storage is configured and ready to use
        
        std::cout << "3. Configured JSON file storage backend" << std::endl;
        
        std::cout << "4. Monitoring system ready" << std::endl;
        std::cout << std::endl;
        
        // Step 6: Simulate some application work and collect metrics
        std::cout << "5. Simulating application workload..." << std::endl;
        
        for (int i = 0; i < 10; ++i) {
            std::cout << "   Iteration " << (i + 1) << "/10" << std::endl;
            
            // Simulate timing an operation
            {
                auto timer = perf_monitor.time_operation("iteration_" + std::to_string(i));
                std::this_thread::sleep_for(100ms);
            }
            
            // Simulate some work
            std::this_thread::sleep_for(500ms);
            
            // Get current system metrics
            auto system_metrics = perf_monitor.get_system_monitor().get_current_metrics();
            if (system_metrics.is_ok()) {
                std::cout << "   CPU: " << system_metrics.value().cpu_usage_percent
                         << "%, Memory: " << (system_metrics.value().memory_usage_bytes / (1024.0 * 1024.0)) << " MB" << std::endl;
            }
        }
        
        std::cout << std::endl;
        
        // Step 7: Collect and display metrics
        std::cout << "6. Collecting metrics:" << std::endl;
        
        auto metrics_result = perf_monitor.collect();
        if (metrics_result.is_ok()) {
            auto& snapshot = metrics_result.value();
            std::cout << "   Total metrics collected: " << snapshot.metrics.size() << std::endl;
            
            for (const auto& metric : snapshot.metrics) {
                std::cout << "   - Metric: " << metric.name << std::endl;
            }
        }
        
        std::cout << std::endl;
        
        // Step 8: Cleanup
        if (auto result = perf_monitor.cleanup(); result.is_err()) {
            std::cerr << "Failed to cleanup: "
                     << result.error().message << std::endl;
            return 1;
        }
 
        // Flush storage
        if (auto result = storage->flush(); result.is_err()) {
            std::cerr << "Failed to flush storage: "
                     << result.error().message << std::endl;
        }
        
        std::cout << std::endl;
        std::cout << "7. Monitoring completed successfully" << std::endl;
        std::cout << "   Data saved to: monitoring_data.json" << std::endl;
        
    } catch (const std::exception& e) {
        std::cerr << "Exception: " << e.what() << std::endl;
        return 1;
    }
    
    std::cout << std::endl;
    std::cout << "=== Example completed successfully ===" << std::endl;
    
    return 0;
}

References kcenon::monitoring::performance_monitor::cleanup(), kcenon::monitoring::performance_monitor::collect(), kcenon::monitoring::monitoring_config::collection_interval, kcenon::monitoring::system_metrics::cpu_usage_percent, kcenon::monitoring::monitoring_config::enable_compression, kcenon::monitoring::system_monitor::get_current_metrics(), kcenon::monitoring::performance_monitor::get_system_monitor(), kcenon::monitoring::monitoring_config::history_size, kcenon::monitoring::performance_monitor::initialize(), kcenon::monitoring::metric::name, kcenon::monitoring::storage_config::path, kcenon::monitoring::storage, kcenon::monitoring::performance_monitor::time_operation(), kcenon::monitoring::timer, and kcenon::monitoring::storage_config::type.

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