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🐚 ⚡ TuskLang Bash @optimize Function Guide

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⚡ TuskLang Bash @optimize Function Guide

"We don't bow to any king" – Optimization is your configuration's turbocharger.

The @optimize function in TuskLang is your performance optimization powerhouse, enabling intelligent resource management, automatic tuning, and performance enhancement directly within your configuration files. Whether you're optimizing database queries, tuning system resources, or improving application performance, @optimize provides the intelligence and automation to maximize efficiency.

🎯 What is @optimize?

The @optimize function provides intelligent optimization capabilities in TuskLang. It offers: - Performance tuning - Automatically tune system and application parameters - Resource optimization - Optimize memory, CPU, and disk usage - Query optimization - Optimize database queries and data access patterns - Caching strategies - Implement intelligent caching and data management - Load balancing - Optimize load distribution and resource allocation

📝 Basic @optimize Syntax

Simple Optimization

[simple_optimization]

Basic performance optimization

cache_settings: @optimize.cache("user_data", "5m")
memory_settings: @optimize.memory("application", "512m")
cpu_settings: @optimize.cpu("worker_processes", 4)
disk_settings: @optimize.disk("temp_directory", "/tmp")

Query Optimization

[query_optimization]

Optimize database queries

optimized_query: @optimize.query("SELECT * FROM users WHERE active = 1", {
    "index": "idx_active_users",
    "limit": 1000,
    "cache": "5m"
})
Optimize complex queries

complex_query: @optimize.query("""
    SELECT u.name, COUNT(o.id) as order_count, SUM(o.amount) as total_spent
    FROM users u
    LEFT JOIN orders o ON u.id = o.user_id
    WHERE u.created_at >= DATE_SUB(NOW(), INTERVAL 30 DAY)
    GROUP BY u.id
    HAVING total_spent > 100
    ORDER BY total_spent DESC
""", {
    "indexes": ["idx_users_created", "idx_orders_user_amount"],
    "cache": "10m",
    "limit": 500
})

Resource Optimization

[resource_optimization]

Optimize system resources

system_optimization: @optimize.system({
    "memory_limit": "2g",
    "cpu_limit": "80%",
    "disk_io_limit": "100mb/s",
    "network_limit": "50mb/s"
})
Application-specific optimization

app_optimization: @optimize.application("web_app", {
    "max_connections": 1000,
    "worker_processes": @shell("nproc"),
    "keepalive_timeout": 65,
    "gzip_compression": true
})

🚀 Quick Start Example

#!/bin/bash
source tusk-bash.sh
cat > optimize-quickstart.tsk << 'EOF'
[basic_optimization]

Basic optimization settings

cache_ttl: @optimize.cache("default", "5m")
memory_limit: @optimize.memory("app", "1g")
worker_count: @optimize.cpu("workers", @shell("nproc"))
[query_optimization]

Optimize database queries

user_query: @optimize.query("SELECT * FROM users WHERE status = 'active'", {
    "index": "idx_status",
    "cache": "10m",
    "limit": 1000
})
order_query: @optimize.query("""
    SELECT user_id, COUNT(*) as order_count
    FROM orders
    WHERE created_at >= DATE_SUB(NOW(), INTERVAL 7 DAY)
    GROUP BY user_id
    HAVING order_count > 5
""", {
    "indexes": ["idx_orders_user_date"],
    "cache": "15m"
})
[system_optimization]

System-wide optimization

system_settings: @optimize.system({
    "memory_usage": "70%",
    "cpu_usage": "80%",
    "disk_usage": "85%"
})
Performance monitoring

performance_metrics: @optimize.monitor({
    "response_time": "500ms",
    "throughput": "1000 req/s",
    "error_rate": "0.1%"
})
EOF
config=$(tusk_parse optimize-quickstart.tsk)
echo "=== Basic Optimization ==="
echo "Cache TTL: $(tusk_get "$config" basic_optimization.cache_ttl)"
echo "Memory Limit: $(tusk_get "$config" basic_optimization.memory_limit)"
echo "Worker Count: $(tusk_get "$config" basic_optimization.worker_count)"
echo ""
echo "=== Query Optimization ==="
echo "User Query: $(tusk_get "$config" query_optimization.user_query)"
echo "Order Query: $(tusk_get "$config" query_optimization.order_query)"
echo ""
echo "=== System Optimization ==="
echo "System Settings: $(tusk_get "$config" system_optimization.system_settings)"
echo "Performance Metrics: $(tusk_get "$config" system_optimization.performance_metrics)"

🔗 Real-World Use Cases

1. Database Performance Optimization

[database_optimization]

Comprehensive database optimization

$db_optimization: {
    "connection_pool": @optimize.connection_pool({
        "min_connections": 5,
        "max_connections": 50,
        "idle_timeout": "300s",
        "connection_timeout": "30s"
    }),
    "query_cache": @optimize.query_cache({
        "enabled": true,
        "size": "256m",
        "ttl": "1h",
        "invalidate_on_write": true
    }),
    "index_optimization": @optimize.indexes({
        "users": ["idx_email", "idx_status", "idx_created_at"],
        "orders": ["idx_user_id", "idx_status", "idx_created_at"],
        "products": ["idx_category", "idx_price", "idx_name"]
    })
}
Query performance monitoring

$query_performance: @optimize.monitor_queries({
    "slow_query_threshold": "1s",
    "log_slow_queries": true,
    "optimize_automatically": true,
    "cache_frequently_used": true
})
Automatic query optimization

@optimize.auto_optimize("database", {
    "analyze_tables": "weekly",
    "optimize_indexes": "daily",
    "vacuum_tables": "monthly",
    "update_statistics": "daily"
})

2. Application Performance Tuning

[application_optimization]

Web application optimization

$web_optimization: {
    "nginx": @optimize.nginx({
        "worker_processes": @shell("nproc"),
        "worker_connections": 1024,
        "keepalive_timeout": 65,
        "gzip_compression": true,
        "gzip_level": 6,
        "client_max_body_size": "10m"
    }),
    "php": @optimize.php({
        "memory_limit": "512m",
        "max_execution_time": 30,
        "opcache_enabled": true,
        "opcache_memory_consumption": 128,
        "realpath_cache_size": "4096k"
    }),
    "redis": @optimize.redis({
        "maxmemory": "256m",
        "maxmemory_policy": "allkeys-lru",
        "save_interval": "900 1",
        "tcp_keepalive": 300
    })
}
Load balancing optimization

$load_balancer: @optimize.load_balancer({
    "algorithm": "least_connections",
    "health_check_interval": "10s",
    "session_persistence": true,
    "backup_servers": ["server2", "server3"]
})
Caching strategy

$caching_strategy: @optimize.caching({
    "page_cache": {
        "enabled": true,
        "ttl": "1h",
        "exclude_patterns": ["/admin/", "/api/"]
    },
    "object_cache": {
        "enabled": true,
        "ttl": "30m",
        "compression": true
    },
    "session_cache": {
        "enabled": true,
        "ttl": "24h",
        "persistent": true
    }
})

3. System Resource Optimization

[system_optimization]

System-wide resource optimization

$system_optimization: {
    "memory": @optimize.memory_management({
        "swap_usage": "10%",
        "cache_cleanup": "hourly",
        "oom_protection": true,
        "memory_compression": true
    }),
    "cpu": @optimize.cpu_management({
        "cpu_governor": "performance",
        "cpu_affinity": true,
        "irq_balance": true,
        "power_saving": false
    }),
    "disk": @optimize.disk_management({
        "io_scheduler": "deadline",
        "read_ahead": "2048",
        "disk_cache": true,
        "trim_enabled": true
    }),
    "network": @optimize.network_management({
        "tcp_congestion": "bbr",
        "tcp_window_scaling": true,
        "tcp_timestamps": true,
        "tcp_sack": true
    })
}
Automatic resource scaling

$auto_scaling: @optimize.auto_scale({
    "cpu_threshold": 80,
    "memory_threshold": 85,
    "disk_threshold": 90,
    "scale_up_delay": "5m",
    "scale_down_delay": "15m"
})

4. Cache and Session Optimization

[cache_optimization]

Multi-level caching optimization

$cache_optimization: {
    "l1_cache": @optimize.cache_layer("memory", {
        "size": "256m",
        "ttl": "5m",
        "eviction_policy": "lru"
    }),
    "l2_cache": @optimize.cache_layer("redis", {
        "size": "1g",
        "ttl": "1h",
        "persistence": true,
        "compression": true
    }),
    "l3_cache": @optimize.cache_layer("disk", {
        "size": "10g",
        "ttl": "24h",
        "compression": true
    })
}
Session optimization

$session_optimization: @optimize.sessions({
    "storage": "redis",
    "ttl": "24h",
    "garbage_collection": "hourly",
    "compression": true,
    "encryption": true
})
Cache invalidation strategy

$cache_invalidation: @optimize.cache_invalidation({
    "automatic": true,
    "patterns": {
        "user_data": "user_updated",
        "product_data": "product_updated",
        "order_data": "order_created"
    },
    "batch_size": 100,
    "delay": "5s"
})

🧠 Advanced @optimize Patterns

Machine Learning-Based Optimization

[ml_optimization]

Machine learning-driven optimization

$ml_optimization: @optimize.ml_driven({
    "learning_model": "performance_prediction",
    "training_data": @query("SELECT * FROM performance_metrics WHERE created_at >= DATE_SUB(NOW(), INTERVAL 30 DAY)"),
    "optimization_targets": ["response_time", "throughput", "resource_usage"],
    "update_frequency": "hourly"
})
Predictive optimization

$predictive_optimization: @optimize.predictive({
    "load_prediction": @learn.predict("load_pattern", {
        "time": @date("H"),
        "day_of_week": @date("N"),
        "historical_load": @metrics.get("current_load")
    }),
    "resource_allocation": @optimize.allocate_resources($predictive_optimization.load_prediction),
    "proactive_scaling": @if($predictive_optimization.load_prediction > 80, "scale_up", "maintain")
})

Dynamic Configuration Optimization

[dynamic_optimization]

Dynamic configuration based on performance

$dynamic_config: @optimize.dynamic_config({
    "monitoring_interval": "30s",
    "adjustment_threshold": 10,
    "configs": {
        "cache_ttl": {
            "min": "1m",
            "max": "1h",
            "adjustment": "5m"
        },
        "worker_processes": {
            "min": 1,
            "max": @shell("nproc"),
            "adjustment": 1
        },
        "memory_limit": {
            "min": "256m",
            "max": "2g",
            "adjustment": "128m"
        }
    }
})
Real-time optimization

$realtime_optimization: @optimize.realtime({
    "response_time_target": "200ms",
    "throughput_target": "1000 req/s",
    "error_rate_target": "0.1%",
    "adjustment_frequency": "1m"
})

Performance Monitoring and Alerting

[performance_monitoring]

Comprehensive performance monitoring

$performance_monitoring: @optimize.monitor_performance({
    "metrics": {
        "response_time": @metrics.collect("response_time"),
        "throughput": @metrics.collect("throughput"),
        "error_rate": @metrics.collect("error_rate"),
        "resource_usage": {
            "cpu": @metrics.collect("cpu_usage"),
            "memory": @metrics.collect("memory_usage"),
            "disk": @metrics.collect("disk_usage")
        }
    },
    "thresholds": {
        "response_time_warning": "500ms",
        "response_time_critical": "1s",
        "error_rate_warning": "1%",
        "error_rate_critical": "5%"
    },
    "alerts": {
        "enabled": true,
        "notification_channels": ["email", "slack", "webhook"]
    }
})
Performance trending

$performance_trends: @optimize.analyze_trends({
    "time_window": "24h",
    "metrics": ["response_time", "throughput", "error_rate"],
    "trend_analysis": true,
    "anomaly_detection": true
})

🛡️ Security & Performance Notes

- Resource limits: Set appropriate limits to prevent resource exhaustion - Security isolation: Ensure optimization doesn't compromise security - Performance impact: Monitor the overhead of optimization processes - Data privacy: Protect sensitive data during optimization analysis - Rollback capability: Maintain ability to rollback optimization changes - Testing environment: Test optimizations in staging before production

🐞 Troubleshooting

- Performance degradation: Monitor for unexpected performance impacts - Resource conflicts: Resolve conflicts between different optimization strategies - Configuration errors: Validate optimization configuration parameters - Memory leaks: Monitor for memory leaks during optimization - Cache invalidation: Ensure proper cache invalidation strategies

💡 Best Practices

- Start small: Begin with conservative optimization settings - Monitor continuously: Implement comprehensive performance monitoring - Test thoroughly: Test optimizations in staging environments - Document changes: Document all optimization changes and their impacts - Gradual rollout: Roll out optimizations gradually to minimize risk - Regular review: Regularly review and adjust optimization strategies

🔗 Cross-References

- @ Operator Introduction - @learn Function - @metrics Function - Performance Optimization - Monitoring and Alerting

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Master @optimize in TuskLang and turbocharge your system performance. ⚡

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