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 Generation | 2-4 threads | Parallel chunk creation |
| Entity Processing | 2-3 threads | Creature and item updates |
| Network I/O | 1-2 threads | Player communication |
| Garbage Collection | 2 threads | Memory 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 Data | 100MB/day | Regular backups, cleanup |
| Player Data | 10MB/day | Automatic cleanup |
| Log Files | 50MB/day | Log rotation, compression |
| Temp Files | 200MB/day | Cleanup 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 players | 2 cores | 4GB | 10GB |
| 6-15 players | 4 cores | 8GB | 20GB |
| 16-30 players | 6 cores | 12GB | 40GB |
| 31-50 players | 8 cores | 16GB | 60GB |
| 50+ players | 10+ cores | 24GB+ | 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 spikes | Inefficient code or too many entities | Optimize plugins, reduce entity count |
| Memory leaks | Plugin issues or improper cleanup | Identify problematic plugins, restart server |
| Disk saturation | Too many world saves or logs | Implement log rotation, cleanup |
| Network bottlenecks | Insufficient bandwidth or packet loss | Upgrade bandwidth, optimize network settings |
Resource Recovery
Emergency resource management:
- Identify resource-consuming processes
- Temporarily reduce player limits
- Disable non-essential plugins
- Increase resource limits if possible
- 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.