Hytale Server Performance Optimization

Optimizing your Hytale server performance is crucial for providing a smooth, lag-free experience for your players. This comprehensive guide covers all aspects of server optimization from basic settings to advanced tuning.

Performance Factors Overview

Server performance depends on these key factors:

• CPU processing power and core allocation
• RAM usage and garbage collection efficiency
• Disk I/O speed and storage type
• Network bandwidth and latency
• World size and player activity

Solution 1: Hardware Optimization

CPU Configuration

Optimize CPU usage for server workloads:

# Java CPU affinity and threading
-XX:+UseNUMA
-XX:+UseParallelGC
-XX:ParallelGCThreads=4
-XX:ConcGCThreads=2
-XX:+UnlockExperimentalVMOptions
-XX:+UseTransparentHugePages

Resource Allocation Guidelines

Solution 2: Java Virtual Machine Tuning

Garbage Collector Selection

Choose the right GC for your server size:

# Small servers (1-20 players)
-XX:+UseSerialGC
-XX:MaxGCPauseMillis=200

# Medium servers (20-100 players)
-XX:+UseG1GC
-XX:MaxGCPauseMillis=150
-XX:G1HeapRegionSize=16M

# Large servers (100+ players)
-XX:+UseZGC
-XX:ZCollectionInterval=30

Memory Optimization

Advanced memory tuning parameters:

-Xms6G -Xmx12G
-XX:+UseCompressedOops
-XX:+UseCompressedClassPointers
-XX:+UseStringDeduplication
-XX:+OptimizeStringConcat
-XX:+UseCompressedStrings
-XX:NewRatio=2
-XX:SurvivorRatio=8

Solution 3: Server Configuration

World Generation Settings

Optimize world generation for performance:

{
    "world": {
        "viewDistance": 8,
        "simulationDistance": 6,
        "chunkGeneration": {
            "threads": 4,
            "queueSize": 200,
            "batchSize": 16
        },
        "entityProcessing": {
            "maxEntitiesPerChunk": 50,
            "activationRange": 64,
            "updateInterval": 1
        }
    }
}

Network Configuration

Optimize network settings for better performance:

{
    "network": {
        "compression": true,
        "compressionLevel": 6,
        "tcpNoDelay": true,
        "sendBufferSize": 65536,
        "receiveBufferSize": 65536,
        "maxConnections": 100,
        "timeout": 30000
    }
}

Solution 4: Plugin and Mod Optimization

Performance Monitoring

Track plugin performance impact:

• Use profiling tools to identify resource-heavy plugins
• Monitor plugin execution times
• Check for memory leaks in custom code
• Benchmark plugin performance with and without each mod

Plugin Optimization Best Practices

Solution 5: System-Level Optimization

Operating System Tuning

Optimize your OS for server hosting:

# Linux kernel parameters (/etc/sysctl.conf)
net.core.rmem_max = 16777216
net.core.wmem_max = 16777216
net.ipv4.tcp_rmem = 4096 87380 16777216
net.ipv4.tcp_wmem = 4096 65536 16777216
net.ipv4.tcp_congestion_control = bbr
vm.swappiness = 10

Process Priority Management

Set appropriate priorities for server processes:

# Set high priority for server process
nice -n -10 java [server_arguments]

# CPU affinity for dedicated cores
taskset -c 0-3 java [server_arguments]

# I/O priority for better disk performance
ionice -c 1 -n 7 java [server_arguments]

Performance Monitoring

Key Metrics to Track

Monitoring Tools

Use these tools for comprehensive monitoring:

• Prometheus + Grafana: Advanced metrics visualization
• Java Mission Control: JVM performance analysis
• htop/nmon: System resource monitoring
• Wireshark: Network traffic analysis
• Custom Scripts: Automated performance alerts

Troubleshooting Performance Issues

Common Performance Problems

Performance Testing

Regular performance testing methodology:

1. Establish baseline performance metrics
2. Simulate typical player load patterns
3. Test with stress scenarios (maximum capacity)
4. Monitor resource usage during testing
5. Document results and compare over time

Advanced Optimization Techniques

Load Balancing

For very large servers, consider these strategies:

• Distribute world processing across multiple instances
• Use proxy servers for connection handling
• Implement database clustering for data storage
• Separate chat and auxiliary services

Caching Strategies

Implement multi-level caching:

# Example caching configuration
{
    "cache": {
        "worldData": {
            "type": "redis",
            "ttl": 300,
            "maxSize": "1GB"
        },
        "playerData": {
            "type": "memory",
            "ttl": 60,
            "maxSize": "500MB"
        },
        "pluginData": {
            "type": "file",
            "ttl": 3600,
            "maxSize": "2GB"
        }
    }
}

Maintenance and Updates

Regular Optimization Tasks

• Weekly performance review and metric analysis
• Monthly JVM tuning adjustments
• Quarterly hardware assessment and upgrades
• Continuous plugin optimization and updates
• Regular system maintenance and cleanup

Maximize your Hytale server performance with proper optimization, monitoring, and maintenance to provide the best possible experience for your community.