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CargoWise Performance Optimization: Speed & Scalability (2025 Guide)

Jan 19, 2025•
cargowiseperformanceoptimizationscalability
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CargoWise performance optimization is critical for maintaining efficient freight forwarding operations as your business grows and data volumes increase. Poor performance can lead to user frustration, reduced productivity, and ultimately, lost business opportunities. Understanding how to optimize CargoWise for speed and scalability is essential for long-term success.

This comprehensive guide covers everything you need to know about CargoWise performance optimization, from database tuning and query optimization to caching strategies and scalability techniques. Whether you're dealing with slow queries, memory issues, or planning for future growth, this guide will provide the tools and techniques you need.

Understanding CargoWise Performance

Performance Metrics and KPIs

Key Performance Indicators:

  • Response Time: Time to complete user requests
  • Throughput: Number of transactions per second
  • Concurrent Users: Maximum simultaneous users
  • Resource Utilization: CPU, memory, and disk usage
  • Database Performance: Query execution times and resource usage
  • Network Performance: Data transfer speeds and latency

Performance Targets:

  • Page Load Time: < 3 seconds for standard pages
  • Query Response Time: < 1 second for simple queries
  • Report Generation: < 30 seconds for standard reports
  • Concurrent Users: Support 100+ simultaneous users
  • System Availability: 99.9% uptime

Performance Bottlenecks

Common Performance Issues:

  1. Database Bottlenecks: Slow queries, missing indexes, table locks
  2. Memory Issues: Insufficient RAM, memory leaks, garbage collection
  3. CPU Constraints: High CPU usage, inefficient algorithms
  4. Network Latency: Slow data transfer, bandwidth limitations
  5. Disk I/O: Slow disk access, insufficient storage performance
  6. Application Logic: Inefficient code, unnecessary processing

Database Optimization

Index Optimization

C# Index Management Tool:

public class CargoWiseIndexOptimizer
{
    private readonly ILogger<CargoWiseIndexOptimizer> _logger;
    private readonly IDatabaseRepository _databaseRepository;
    private readonly IQueryAnalyzer _queryAnalyzer;
    
    public CargoWiseIndexOptimizer(
        ILogger<CargoWiseIndexOptimizer> logger,
        IDatabaseRepository databaseRepository,
        IQueryAnalyzer queryAnalyzer)
    {
        _logger = logger;
        _databaseRepository = databaseRepository;
        _queryAnalyzer = queryAnalyzer;
    }
    
    public async Task<IndexOptimizationResult> OptimizeIndexes(string databaseName)
    {
        var result = new IndexOptimizationResult
        {
            DatabaseName = databaseName,
            StartTime = DateTime.UtcNow,
            Status = OptimizationStatus.InProgress,
            Recommendations = new List<IndexRecommendation>()
        };
        
        try
        {
            _logger.LogInformation("Starting index optimization for database: {DatabaseName}", databaseName);
            
            // Analyze slow queries
            var slowQueries = await _queryAnalyzer.GetSlowQueries(databaseName);
            
            // Analyze missing indexes
            var missingIndexes = await AnalyzeMissingIndexes(slowQueries);
            result.Recommendations.AddRange(missingIndexes);
            
            // Analyze unused indexes
            var unusedIndexes = await AnalyzeUnusedIndexes(databaseName);
            result.Recommendations.AddRange(unusedIndexes);
            
            // Analyze duplicate indexes
            var duplicateIndexes = await AnalyzeDuplicateIndexes(databaseName);
            result.Recommendations.AddRange(duplicateIndexes);
            
            // Generate optimization plan
            var optimizationPlan = await GenerateOptimizationPlan(result.Recommendations);
            result.OptimizationPlan = optimizationPlan;
            
            result.Status = OptimizationStatus.Completed;
            result.EndTime = DateTime.UtcNow;
            result.Duration = result.EndTime - result.StartTime;
            
            _logger.LogInformation("Index optimization completed for database: {DatabaseName} in {Duration}", 
                databaseName, result.Duration);
            
            return result;
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Index optimization failed for database: {DatabaseName}", databaseName);
            
            result.Status = OptimizationStatus.Failed;
            result.ErrorMessage = ex.Message;
            result.EndTime = DateTime.UtcNow;
            result.Duration = result.EndTime - result.StartTime;
            
            return result;
        }
    }
    
    private async Task<List<IndexRecommendation>> AnalyzeMissingIndexes(List<SlowQuery> slowQueries)
    {
        var recommendations = new List<IndexRecommendation>();
        
        foreach (var query in slowQueries)
        {
            var analysis = await _queryAnalyzer.AnalyzeQuery(query);
            
            if (analysis.MissingIndexes.Any())
            {
                foreach (var missingIndex in analysis.MissingIndexes)
                {
                    recommendations.Add(new IndexRecommendation
                    {
                        Type = IndexRecommendationType.Create,
                        TableName = missingIndex.TableName,
                        ColumnNames = missingIndex.ColumnNames,
                        EstimatedImpact = missingIndex.EstimatedImpact,
                        Priority = IndexRecommendationPriority.High,
                        Description = $"Create index on {missingIndex.TableName} for columns: {string.Join(", ", missingIndex.ColumnNames)}"
                    });
                }
            }
        }
        
        return recommendations;
    }
    
    private async Task<List<IndexRecommendation>> AnalyzeUnusedIndexes(string databaseName)
    {
        var recommendations = new List<IndexRecommendation>();
        
        var unusedIndexes = await _databaseRepository.GetUnusedIndexes(databaseName);
        
        foreach (var index in unusedIndexes)
        {
            recommendations.Add(new IndexRecommendation
            {
                Type = IndexRecommendationType.Drop,
                TableName = index.TableName,
                IndexName = index.IndexName,
                EstimatedImpact = IndexImpact.Medium,
                Priority = IndexRecommendationPriority.Medium,
                Description = $"Drop unused index {index.IndexName} on table {index.TableName}"
            });
        }
        
        return recommendations;
    }
}

Query Optimization

C# Query Optimizer:

public class CargoWiseQueryOptimizer
{
    private readonly ILogger<CargoWiseQueryOptimizer> _logger;
    private readonly IQueryRepository _queryRepository;
    private readonly IQueryAnalyzer _queryAnalyzer;
    
    public CargoWiseQueryOptimizer(
        ILogger<CargoWiseQueryOptimizer> logger,
        IQueryRepository queryRepository,
        IQueryAnalyzer queryAnalyzer)
    {
        _logger = logger;
        _queryRepository = queryRepository;
        _queryAnalyzer = queryAnalyzer;
    }
    
    public async Task<QueryOptimizationResult> OptimizeQuery(string queryText)
    {
        var result = new QueryOptimizationResult
        {
            OriginalQuery = queryText,
            StartTime = DateTime.UtcNow,
            Status = OptimizationStatus.InProgress
        };
        
        try
        {
            _logger.LogInformation("Starting query optimization");
            
            // Analyze original query
            var analysis = await _queryAnalyzer.AnalyzeQuery(queryText);
            result.OriginalAnalysis = analysis;
            
            // Generate optimized query
            var optimizedQuery = await GenerateOptimizedQuery(queryText, analysis);
            result.OptimizedQuery = optimizedQuery;
            
            // Analyze optimized query
            var optimizedAnalysis = await _queryAnalyzer.AnalyzeQuery(optimizedQuery);
            result.OptimizedAnalysis = optimizedAnalysis;
            
            // Calculate performance improvement
            result.PerformanceImprovement = CalculatePerformanceImprovement(analysis, optimizedAnalysis);
            
            // Generate recommendations
            result.Recommendations = await GenerateQueryRecommendations(analysis, optimizedAnalysis);
            
            result.Status = OptimizationStatus.Completed;
            result.EndTime = DateTime.UtcNow;
            result.Duration = result.EndTime - result.StartTime;
            
            _logger.LogInformation("Query optimization completed in {Duration}", result.Duration);
            
            return result;
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Query optimization failed");
            
            result.Status = OptimizationStatus.Failed;
            result.ErrorMessage = ex.Message;
            result.EndTime = DateTime.UtcNow;
            result.Duration = result.EndTime - result.StartTime;
            
            return result;
        }
    }
    
    private async Task<string> GenerateOptimizedQuery(string originalQuery, QueryAnalysis analysis)
    {
        var optimizedQuery = originalQuery;
        
        // Apply optimization rules
        if (analysis.HasSelectStar)
        {
            optimizedQuery = ReplaceSelectStar(optimizedQuery, analysis);
        }
        
        if (analysis.HasUnnecessaryJoins)
        {
            optimizedQuery = RemoveUnnecessaryJoins(optimizedQuery, analysis);
        }
        
        if (analysis.HasMissingWhereClause)
        {
            optimizedQuery = AddMissingWhereClause(optimizedQuery, analysis);
        }
        
        if (analysis.HasInefficientSubqueries)
        {
            optimizedQuery = OptimizeSubqueries(optimizedQuery, analysis);
        }
        
        if (analysis.HasMissingIndexes)
        {
            optimizedQuery = OptimizeForIndexes(optimizedQuery, analysis);
        }
        
        return optimizedQuery;
    }
    
    private string ReplaceSelectStar(string query, QueryAnalysis analysis)
    {
        // Replace SELECT * with specific columns
        var selectStarPattern = @"SELECT\s+\*\s+FROM";
        var replacement = $"SELECT {string.Join(", ", analysis.RequiredColumns)} FROM";
        
        return Regex.Replace(query, selectStarPattern, replacement, RegexOptions.IgnoreCase);
    }
    
    private string RemoveUnnecessaryJoins(string query, QueryAnalysis analysis)
    {
        // Remove joins that are not used in SELECT or WHERE clauses
        foreach (var unnecessaryJoin in analysis.UnnecessaryJoins)
        {
            var joinPattern = $@"\s+JOIN\s+{unnecessaryJoin.TableName}\s+ON\s+{unnecessaryJoin.JoinCondition}";
            query = Regex.Replace(query, joinPattern, "", RegexOptions.IgnoreCase);
        }
        
        return query;
    }
}

Database Configuration Optimization

C# Database Configuration Manager:

public class CargoWiseDatabaseConfigManager
{
    private readonly ILogger<CargoWiseDatabaseConfigManager> _logger;
    private readonly IDatabaseRepository _databaseRepository;
    
    public CargoWiseDatabaseConfigManager(
        ILogger<CargoWiseDatabaseConfigManager> logger,
        IDatabaseRepository databaseRepository)
    {
        _logger = logger;
        _databaseRepository = databaseRepository;
    }
    
    public async Task<DatabaseConfigResult> OptimizeDatabaseConfiguration(string databaseName)
    {
        var result = new DatabaseConfigResult
        {
            DatabaseName = databaseName,
            StartTime = DateTime.UtcNow,
            Status = OptimizationStatus.InProgress,
            ConfigurationChanges = new List<ConfigurationChange>()
        };
        
        try
        {
            _logger.LogInformation("Starting database configuration optimization: {DatabaseName}", databaseName);
            
            // Get current configuration
            var currentConfig = await _databaseRepository.GetDatabaseConfiguration(databaseName);
            
            // Analyze configuration
            var analysis = await AnalyzeDatabaseConfiguration(currentConfig);
            
            // Generate optimization recommendations
            var recommendations = await GenerateConfigurationRecommendations(analysis);
            
            // Apply configuration changes
            foreach (var recommendation in recommendations)
            {
                var changeResult = await ApplyConfigurationChange(databaseName, recommendation);
                result.ConfigurationChanges.Add(changeResult);
            }
            
            result.Status = OptimizationStatus.Completed;
            result.EndTime = DateTime.UtcNow;
            result.Duration = result.EndTime - result.StartTime;
            
            _logger.LogInformation("Database configuration optimization completed: {DatabaseName} in {Duration}", 
                databaseName, result.Duration);
            
            return result;
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Database configuration optimization failed: {DatabaseName}", databaseName);
            
            result.Status = OptimizationStatus.Failed;
            result.ErrorMessage = ex.Message;
            result.EndTime = DateTime.UtcNow;
            result.Duration = result.EndTime - result.StartTime;
            
            return result;
        }
    }
    
    private async Task<DatabaseConfigurationAnalysis> AnalyzeDatabaseConfiguration(DatabaseConfiguration config)
    {
        var analysis = new DatabaseConfigurationAnalysis();
        
        // Analyze memory configuration
        if (config.MaxMemory < GetRecommendedMaxMemory())
        {
            analysis.MemoryIssues.Add(new ConfigurationIssue
            {
                Parameter = "MaxMemory",
                CurrentValue = config.MaxMemory,
                RecommendedValue = GetRecommendedMaxMemory(),
                Severity = ConfigurationIssueSeverity.High,
                Description = "Insufficient memory allocation"
            });
        }
        
        // Analyze connection pool configuration
        if (config.MaxConnections < GetRecommendedMaxConnections())
        {
            analysis.ConnectionIssues.Add(new ConfigurationIssue
            {
                Parameter = "MaxConnections",
                CurrentValue = config.MaxConnections,
                RecommendedValue = GetRecommendedMaxConnections(),
                Severity = ConfigurationIssueSeverity.Medium,
                Description = "Insufficient connection pool size"
            });
        }
        
        // Analyze query timeout configuration
        if (config.QueryTimeout < GetRecommendedQueryTimeout())
        {
            analysis.TimeoutIssues.Add(new ConfigurationIssue
            {
                Parameter = "QueryTimeout",
                CurrentValue = config.QueryTimeout,
                RecommendedValue = GetRecommendedQueryTimeout(),
                Severity = ConfigurationIssueSeverity.Medium,
                Description = "Query timeout too low"
            });
        }
        
        return analysis;
    }
}

Caching Strategies

Application-Level Caching

C# Caching Implementation:

public class CargoWiseCacheManager
{
    private readonly ILogger<CargoWiseCacheManager> _logger;
    private readonly IMemoryCache _memoryCache;
    private readonly IDistributedCache _distributedCache;
    private readonly ICacheConfiguration _cacheConfiguration;
    
    public CargoWiseCacheManager(
        ILogger<CargoWiseCacheManager> logger,
        IMemoryCache memoryCache,
        IDistributedCache distributedCache,
        ICacheConfiguration cacheConfiguration)
    {
        _logger = logger;
        _memoryCache = memoryCache;
        _distributedCache = distributedCache;
        _cacheConfiguration = cacheConfiguration;
    }
    
    public async Task<T> GetOrSetAsync<T>(string key, Func<Task<T>> factory, TimeSpan? expiration = null)
    {
        try
        {
            // Try to get from memory cache first
            if (_memoryCache.TryGetValue(key, out T cachedValue))
            {
                _logger.LogDebug("Cache hit for key: {Key}", key);
                return cachedValue;
            }
            
            // Try to get from distributed cache
            var distributedValue = await _distributedCache.GetAsync<T>(key);
            if (distributedValue != null)
            {
                _logger.LogDebug("Distributed cache hit for key: {Key}", key);
                
                // Store in memory cache for faster access
                var memoryOptions = new MemoryCacheEntryOptions
                {
                    AbsoluteExpirationRelativeToNow = expiration ?? TimeSpan.FromMinutes(30)
                };
                _memoryCache.Set(key, distributedValue, memoryOptions);
                
                return distributedValue;
            }
            
            // Cache miss - get from factory
            _logger.LogDebug("Cache miss for key: {Key}", key);
            var value = await factory();
            
            // Store in both caches
            var cacheOptions = new MemoryCacheEntryOptions
            {
                AbsoluteExpirationRelativeToNow = expiration ?? TimeSpan.FromMinutes(30)
            };
            _memoryCache.Set(key, value, cacheOptions);
            
            var distributedOptions = new DistributedCacheEntryOptions
            {
                AbsoluteExpirationRelativeToNow = expiration ?? TimeSpan.FromMinutes(30)
            };
            await _distributedCache.SetAsync(key, value, distributedOptions);
            
            return value;
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error getting or setting cache for key: {Key}", key);
            
            // Fallback to factory if caching fails
            return await factory();
        }
    }
    
    public async Task InvalidateAsync(string key)
    {
        try
        {
            _memoryCache.Remove(key);
            await _distributedCache.RemoveAsync(key);
            
            _logger.LogDebug("Cache invalidated for key: {Key}", key);
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error invalidating cache for key: {Key}", key);
        }
    }
    
    public async Task InvalidatePatternAsync(string pattern)
    {
        try
        {
            // Invalidate memory cache entries matching pattern
            var memoryCacheEntries = _memoryCache.GetType()
                .GetField("_coherentState", BindingFlags.NonPublic | BindingFlags.Instance)
                ?.GetValue(_memoryCache) as object;
            
            if (memoryCacheEntries != null)
            {
                var entriesCollection = memoryCacheEntries.GetType()
                    .GetProperty("EntriesCollection", BindingFlags.NonPublic | BindingFlags.Instance)
                    ?.GetValue(memoryCacheEntries) as IDictionary;
                
                if (entriesCollection != null)
                {
                    var keysToRemove = new List<object>();
                    foreach (DictionaryEntry entry in entriesCollection)
                    {
                        if (entry.Key.ToString().Contains(pattern))
                        {
                            keysToRemove.Add(entry.Key);
                        }
                    }
                    
                    foreach (var key in keysToRemove)
                    {
                        _memoryCache.Remove(key);
                    }
                }
            }
            
            // Invalidate distributed cache entries matching pattern
            // Note: This is a simplified implementation. In practice, you might need
            // to use a more sophisticated pattern matching approach
            await _distributedCache.RemoveAsync(pattern);
            
            _logger.LogDebug("Cache pattern invalidated: {Pattern}", pattern);
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error invalidating cache pattern: {Pattern}", pattern);
        }
    }
}

Database Query Caching

C# Query Cache Implementation:

public class CargoWiseQueryCache
{
    private readonly ILogger<CargoWiseQueryCache> _logger;
    private readonly ICacheManager _cacheManager;
    private readonly IQueryRepository _queryRepository;
    
    public CargoWiseQueryCache(
        ILogger<CargoWiseQueryCache> logger,
        ICacheManager cacheManager,
        IQueryRepository queryRepository)
    {
        _logger = logger;
        _cacheManager = cacheManager;
        _queryRepository = queryRepository;
    }
    
    public async Task<T> ExecuteCachedQueryAsync<T>(string query, object parameters = null, TimeSpan? expiration = null)
    {
        var cacheKey = GenerateCacheKey(query, parameters);
        
        return await _cacheManager.GetOrSetAsync(cacheKey, async () =>
        {
            _logger.LogDebug("Executing cached query: {Query}", query);
            return await _queryRepository.ExecuteQueryAsync<T>(query, parameters);
        }, expiration);
    }
    
    public async Task<List<T>> ExecuteCachedQueryListAsync<T>(string query, object parameters = null, TimeSpan? expiration = null)
    {
        var cacheKey = GenerateCacheKey(query, parameters);
        
        return await _cacheManager.GetOrSetAsync(cacheKey, async () =>
        {
            _logger.LogDebug("Executing cached query list: {Query}", query);
            return await _queryRepository.ExecuteQueryListAsync<T>(query, parameters);
        }, expiration);
    }
    
    private string GenerateCacheKey(string query, object parameters)
    {
        var queryHash = ComputeHash(query);
        var parametersHash = parameters != null ? ComputeHash(JsonSerializer.Serialize(parameters)) : "null";
        
        return $"query:{queryHash}:params:{parametersHash}";
    }
    
    private string ComputeHash(string input)
    {
        using (var sha256 = SHA256.Create())
        {
            var bytes = sha256.ComputeHash(Encoding.UTF8.GetBytes(input));
            return Convert.ToBase64String(bytes);
        }
    }
}

Scalability Techniques

Horizontal Scaling

C# Load Balancer Implementation:

public class CargoWiseLoadBalancer
{
    private readonly ILogger<CargoWiseLoadBalancer> _logger;
    private readonly List<CargoWiseServer> _servers;
    private readonly ILoadBalancingStrategy _strategy;
    private readonly IHealthChecker _healthChecker;
    
    public CargoWiseLoadBalancer(
        ILogger<CargoWiseLoadBalancer> logger,
        List<CargoWiseServer> servers,
        ILoadBalancingStrategy strategy,
        IHealthChecker healthChecker)
    {
        _logger = logger;
        _servers = servers;
        _strategy = strategy;
        _healthChecker = healthChecker;
    }
    
    public async Task<CargoWiseServer> GetNextServer()
    {
        try
        {
            // Filter healthy servers
            var healthyServers = await GetHealthyServers();
            
            if (!healthyServers.Any())
            {
                throw new NoHealthyServersException("No healthy servers available");
            }
            
            // Select server using load balancing strategy
            var selectedServer = _strategy.SelectServer(healthyServers);
            
            _logger.LogDebug("Selected server: {ServerId}", selectedServer.Id);
            
            return selectedServer;
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error selecting server");
            throw;
        }
    }
    
    private async Task<List<CargoWiseServer>> GetHealthyServers()
    {
        var healthyServers = new List<CargoWiseServer>();
        
        foreach (var server in _servers)
        {
            try
            {
                var isHealthy = await _healthChecker.IsHealthyAsync(server);
                if (isHealthy)
                {
                    healthyServers.Add(server);
                }
            }
            catch (Exception ex)
            {
                _logger.LogWarning(ex, "Health check failed for server: {ServerId}", server.Id);
            }
        }
        
        return healthyServers;
    }
}

public class RoundRobinLoadBalancingStrategy : ILoadBalancingStrategy
{
    private int _currentIndex = 0;
    private readonly object _lock = new object();
    
    public CargoWiseServer SelectServer(List<CargoWiseServer> servers)
    {
        lock (_lock)
        {
            var server = servers[_currentIndex % servers.Count];
            _currentIndex++;
            return server;
        }
    }
}

public class WeightedRoundRobinLoadBalancingStrategy : ILoadBalancingStrategy
{
    private int _currentWeight = 0;
    private int _currentIndex = -1;
    private readonly object _lock = new object();
    
    public CargoWiseServer SelectServer(List<CargoWiseServer> servers)
    {
        lock (_lock)
        {
            while (true)
            {
                _currentIndex = (_currentIndex + 1) % servers.Count;
                
                if (_currentIndex == 0)
                {
                    _currentWeight -= servers.Min(s => s.Weight);
                    if (_currentWeight <= 0)
                    {
                        _currentWeight = servers.Max(s => s.Weight);
                    }
                }
                
                if (servers[_currentIndex].Weight >= _currentWeight)
                {
                    return servers[_currentIndex];
                }
            }
        }
    }
}

Vertical Scaling

C# Resource Monitoring:

public class CargoWiseResourceMonitor
{
    private readonly ILogger<CargoWiseResourceMonitor> _logger;
    private readonly IResourceRepository _resourceRepository;
    private readonly IAlertService _alertService;
    
    public CargoWiseResourceMonitor(
        ILogger<CargoWiseResourceMonitor> logger,
        IResourceRepository resourceRepository,
        IAlertService alertService)
    {
        _logger = logger;
        _resourceRepository = resourceRepository;
        _alertService = alertService;
    }
    
    public async Task<ResourceStatus> MonitorResources()
    {
        var status = new ResourceStatus
        {
            Timestamp = DateTime.UtcNow,
            Metrics = new List<ResourceMetric>()
        };
        
        try
        {
            // Monitor CPU usage
            var cpuUsage = await GetCpuUsage();
            status.Metrics.Add(new ResourceMetric
            {
                Name = "CPU Usage",
                Value = cpuUsage,
                Unit = "Percentage",
                Threshold = 80,
                Status = cpuUsage > 80 ? MetricStatus.Critical : MetricStatus.Normal
            });
            
            // Monitor memory usage
            var memoryUsage = await GetMemoryUsage();
            status.Metrics.Add(new ResourceMetric
            {
                Name = "Memory Usage",
                Value = memoryUsage,
                Unit = "Percentage",
                Threshold = 85,
                Status = memoryUsage > 85 ? MetricStatus.Critical : MetricStatus.Normal
            });
            
            // Monitor disk usage
            var diskUsage = await GetDiskUsage();
            status.Metrics.Add(new ResourceMetric
            {
                Name = "Disk Usage",
                Value = diskUsage,
                Unit = "Percentage",
                Threshold = 90,
                Status = diskUsage > 90 ? MetricStatus.Critical : MetricStatus.Normal
            });
            
            // Monitor network usage
            var networkUsage = await GetNetworkUsage();
            status.Metrics.Add(new ResourceMetric
            {
                Name = "Network Usage",
                Value = networkUsage,
                Unit = "Mbps",
                Threshold = 1000,
                Status = networkUsage > 1000 ? MetricStatus.Warning : MetricStatus.Normal
            });
            
            // Check for critical metrics
            var criticalMetrics = status.Metrics.Where(m => m.Status == MetricStatus.Critical).ToList();
            if (criticalMetrics.Any())
            {
                await _alertService.SendAlert("Critical resource usage detected", criticalMetrics);
            }
            
            return status;
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error monitoring resources");
            throw;
        }
    }
    
    private async Task<double> GetCpuUsage()
    {
        // Implementation to get CPU usage
        // This would typically use performance counters or system APIs
        return await Task.FromResult(0.0);
    }
    
    private async Task<double> GetMemoryUsage()
    {
        // Implementation to get memory usage
        // This would typically use performance counters or system APIs
        return await Task.FromResult(0.0);
    }
    
    private async Task<double> GetDiskUsage()
    {
        // Implementation to get disk usage
        // This would typically use performance counters or system APIs
        return await Task.FromResult(0.0);
    }
    
    private async Task<double> GetNetworkUsage()
    {
        // Implementation to get network usage
        // This would typically use performance counters or system APIs
        return await Task.FromResult(0.0);
    }
}

Performance Monitoring

Real-Time Monitoring

C# Performance Monitor:

public class CargoWisePerformanceMonitor
{
    private readonly ILogger<CargoWisePerformanceMonitor> _logger;
    private readonly IPerformanceRepository _performanceRepository;
    private readonly IAlertService _alertService;
    private readonly Timer _monitoringTimer;
    
    public CargoWisePerformanceMonitor(
        ILogger<CargoWisePerformanceMonitor> logger,
        IPerformanceRepository performanceRepository,
        IAlertService alertService)
    {
        _logger = logger;
        _performanceRepository = performanceRepository;
        _alertService = alertService;
        _monitoringTimer = new Timer(MonitorPerformance, null, TimeSpan.Zero, TimeSpan.FromMinutes(1));
    }
    
    private async void MonitorPerformance(object state)
    {
        try
        {
            var performanceData = await CollectPerformanceData();
            await _performanceRepository.StorePerformanceData(performanceData);
            
            // Check for performance issues
            await CheckPerformanceIssues(performanceData);
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error monitoring performance");
        }
    }
    
    private async Task<PerformanceData> CollectPerformanceData()
    {
        var data = new PerformanceData
        {
            Timestamp = DateTime.UtcNow,
            Metrics = new Dictionary<string, double>()
        };
        
        // Collect various performance metrics
        data.Metrics["ResponseTime"] = await GetAverageResponseTime();
        data.Metrics["Throughput"] = await GetThroughput();
        data.Metrics["ErrorRate"] = await GetErrorRate();
        data.Metrics["ActiveUsers"] = await GetActiveUserCount();
        data.Metrics["DatabaseConnections"] = await GetDatabaseConnectionCount();
        data.Metrics["MemoryUsage"] = await GetMemoryUsage();
        data.Metrics["CpuUsage"] = await GetCpuUsage();
        
        return data;
    }
    
    private async Task CheckPerformanceIssues(PerformanceData data)
    {
        // Check response time
        if (data.Metrics["ResponseTime"] > 5000) // 5 seconds
        {
            await _alertService.SendAlert("High response time detected", new { ResponseTime = data.Metrics["ResponseTime"] });
        }
        
        // Check error rate
        if (data.Metrics["ErrorRate"] > 5) // 5%
        {
            await _alertService.SendAlert("High error rate detected", new { ErrorRate = data.Metrics["ErrorRate"] });
        }
        
        // Check memory usage
        if (data.Metrics["MemoryUsage"] > 90) // 90%
        {
            await _alertService.SendAlert("High memory usage detected", new { MemoryUsage = data.Metrics["MemoryUsage"] });
        }
        
        // Check CPU usage
        if (data.Metrics["CpuUsage"] > 80) // 80%
        {
            await _alertService.SendAlert("High CPU usage detected", new { CpuUsage = data.Metrics["CpuUsage"] });
        }
    }
}

Conclusion

CargoWise performance optimization is an ongoing process that requires continuous monitoring, analysis, and improvement. By following the strategies and techniques outlined in this guide, you can ensure your CargoWise system performs optimally and scales effectively with your business growth.

Key Takeaways:

  1. Monitor Continuously: Implement comprehensive performance monitoring
  2. Optimize Database: Focus on indexes, queries, and configuration
  3. Implement Caching: Use appropriate caching strategies for different data types
  4. Plan for Scale: Design for both horizontal and vertical scaling
  5. Test Regularly: Perform load testing and performance validation

Next Steps:

  1. Assess Current Performance and identify bottlenecks
  2. Implement Monitoring tools and alerting systems
  3. Optimize Database configuration and queries
  4. Implement Caching strategies for frequently accessed data
  5. Plan for Scalability based on growth projections

For more CargoWise performance optimization guidance and support, explore our CargoWise Integration Services or contact our team for personalized consulting.

FAQ

Q: How do I identify performance bottlenecks in CargoWise? A: Use performance monitoring tools, analyze slow queries, check resource utilization, and review user feedback. Look for patterns in response times, error rates, and resource usage.

Q: What are the most common performance issues in CargoWise? A: Common issues include slow database queries, missing indexes, insufficient memory, high CPU usage, network latency, and inefficient application code.

Q: How can I improve CargoWise query performance? A: Optimize queries by adding proper indexes, avoiding SELECT *, using appropriate WHERE clauses, optimizing JOINs, and implementing query caching.

Q: What caching strategies work best for CargoWise? A: Use multi-level caching with memory cache for frequently accessed data, distributed cache for shared data, and query caching for database results. Cache based on data access patterns and update frequency.

Q: How do I plan for CargoWise scalability? A: Design for both horizontal and vertical scaling, implement load balancing, use distributed architectures, optimize database performance, and plan for resource scaling based on growth projections.

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