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Server Resource Management - Hytale Wiki

Hytale Server Resource Management

Effective resource management is crucial for maintaining a stable Hytale server. This comprehensive guide covers CPU optimization, memory management, disk space control, and resource monitoring.

Understanding Server Resources

Your Hytale server consumes these key resources:

  • CPU: Game logic, entity processing, and world simulation
  • RAM: World chunks, player data, and mod storage
  • Disk I/O: World saving, chunk loading, and log writing
  • Network: Player connections, world sync, and data transfer

CPU Management

Processor allocation and optimization techniques

Memory Control

RAM usage patterns and optimization

Disk Optimization

Storage management and I/O performance

Solution 1: CPU Resource Management

Core Allocation

Optimize CPU core usage:

# Java CPU affinity settings
-XX:+UseNUMA
-XX:+UseParallelGC
-XX:ParallelGCThreads=4
-XX:ConcGCThreads=2

# Set process priority (Linux)
renice -n -5 $(pgrep java)

# CPU affinity binding
taskset -c 0-3 java [server_arguments]

Thread Optimization

Configure threading for optimal performance:

Thread Type Recommended Setting Purpose
World Generation2-4 threadsParallel chunk creation
Entity Processing2-3 threadsCreature and item updates
Network I/O1-2 threadsPlayer communication
Garbage Collection2 threadsMemory management

Solution 2: Memory Resource Management

Heap Optimization

Configure Java memory for efficiency:

# Memory configuration
-Xms6G -Xmx12G                    # Initial and max heap
-XX:+UseG1GC                      # Garbage collector
-XX:MaxGCPauseMillis=150           # GC pause target
-XX:G1HeapRegionSize=16M          # Region sizing
-XX:+UseStringDeduplication         # String optimization
-XX:+UnlockExperimentalVMOptions     # Enable advanced features

# Metaspace management
-XX:MetaspaceSize=512m
-XX:MaxMetaspaceSize=1024m

Memory Monitoring

Track memory usage patterns:

  • Monitor heap usage trends over time
  • Identify memory leak patterns
  • Track garbage collection frequency
  • Watch for memory fragmentation
  • Monitor metaspace usage

Solution 3: Disk Resource Management

Storage Optimization

Optimize disk I/O performance:

# File system tuning (Linux)
echo madvise > /proc/sys/vm/madvise
echo deadline > /sys/block/sda/queue/scheduler

# Mount options for better performance
/dev/sda1 /hytale ext4 defaults,noatime,nodiratime 0 1

# Increase file descriptor limits
echo "* soft nofile 65536" >> /etc/security/limits.conf
echo "* hard nofile 65536" >> /etc/security/limits.conf

Disk Space Management

Control disk usage growth:

Data Type Growth Rate Management Strategy
World Data100MB/dayRegular backups, cleanup
Player Data10MB/dayAutomatic cleanup
Log Files50MB/dayLog rotation, compression
Temp Files200MB/dayCleanup on restart

Solution 4: Network Resource Management

Bandwidth Optimization

Manage network resources efficiently:

# Network configuration
{
    "network": {
        "compressionLevel": 6,
        "maxPacketSize": 32768,
        "tcpNoDelay": true,
        "sendBufferSize": 65536,
        "receiveBufferSize": 65536,
        "connectionLimit": 100,
        "rateLimiting": {
            "enabled": true,
            "maxBytesPerSecond": 1048576,
            "burstAllowance": 2097152
        }
    }
}

Connection Management

Optimize connection handling:

  • Implement connection pooling for efficiency
  • Use keep-alive connections to reduce overhead
  • Implement rate limiting for bandwidth control
  • Use compression to reduce data transfer
  • Monitor network bandwidth usage

Solution 5: Resource Monitoring

Real-time Monitoring

Implement comprehensive resource monitoring:

# Monitoring script
#!/bin/bash
CPU_USAGE=$(top -bn1 | grep "java" | awk '{print $9}')
MEMORY_USAGE=$(free -m | awk 'NR==2{printf "%.2f", $3*100/$2}')
DISK_USAGE=$(df /hytale | awk 'NR==2{print $5}')
CONNECTIONS=$(netstat -an | grep :25565 | wc -l)

echo "CPU: ${CPU_USAGE}% | Memory: ${MEMORY_USAGE}% | Disk: ${DISK_USAGE} | Connections: ${CONNECTIONS}"

# Alert if thresholds exceeded
if (( $(echo "$MEMORY_USAGE > 80" | bc -l) )); then
    echo "High memory usage detected!"
fi

Performance Metrics

Key metrics to monitor:

CPU Load Average

Monitor 1, 5, 15-minute averages

Memory Usage

Track heap vs non-heap memory usage

Disk I/O

Monitor read/write operations per second

Network Throughput

Track bandwidth usage and packet loss

Resource Allocation Strategies

Dynamic Resource Allocation

Adjust resources based on player count:

Player Count CPU Cores RAM Allocation Disk Space
1-5 players2 cores4GB10GB
6-15 players4 cores8GB20GB
16-30 players6 cores12GB40GB
31-50 players8 cores16GB60GB
50+ players10+ cores24GB+80GB+

Resource Scaling

Implement auto-scaling strategies:

  • Monitor resource usage trends
  • Set up alerts for resource thresholds
  • Prepare backup resources for scaling
  • Implement load balancing for large servers
  • Use cloud resources for burst capacity

Troubleshooting Resource Issues

Common Resource Problems

Symptom Cause Solution
CPU spikesInefficient code or too many entitiesOptimize plugins, reduce entity count
Memory leaksPlugin issues or improper cleanupIdentify problematic plugins, restart server
Disk saturationToo many world saves or logsImplement log rotation, cleanup
Network bottlenecksInsufficient bandwidth or packet lossUpgrade bandwidth, optimize network settings

Resource Recovery

Emergency resource management:

  1. Identify resource-consuming processes
  2. Temporarily reduce player limits
  3. Disable non-essential plugins
  4. Increase resource limits if possible
  5. Restart server to clear resource leaks

Pro Tip: Use containerization (Docker/Kubernetes) for better resource isolation and scaling. This allows you to set hard limits and automatically scale resources as needed.

Long-term Resource Planning

Capacity Planning

Plan for growth and scaling:

  • Monitor resource usage growth trends
  • Plan hardware upgrades based on projections
  • Consider server clustering for very large communities
  • Implement resource quotas per player
  • Maintain performance baselines for comparison

Cost Optimization

Balance performance and cost:

  • Right-size resources for your needs
  • Use reserved instances for predictable workloads
  • Implement auto-scaling only when necessary
  • Monitor and eliminate resource waste
  • Consider spot instances for cost savings

Master your Hytale server resources with comprehensive management, monitoring, and optimization strategies for stable performance and cost efficiency.

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