Advanced Configuration
Master-level system configuration, performance tuning, and enterprise deployment
System Architecture Overview
Playcast Production Architecture
Advanced Configuration
🖥️ Server Configuration
Optimize server hardware and OS settings for maximum gaming performance with minimal latency.
# High-performance server configuration for Playcast
server:
hardware:
cpu:
isolation: [0-15] # Isolate CPU cores for game processes
governor: performance
turbo_boost: enabled
hyperthreading: disabled # Better deterministic performance
memory:
huge_pages: 2GB
swap: disabled
numa_balancing: disabled
gpu:
driver: nvidia-515
persistence_mode: enabled
power_limit: max
memory_clock: +1000
graphics_clock: +200
network:
ring_buffer_size: 4096
interrupt_coalescing: disabled
tcp_congestion_control: bbr
receive_buffer_size: 16MB
send_buffer_size: 16MB
kernel:
scheduler: deadline
preemption: voluntary
timer_frequency: 1000Hz
power_management: performance
filesystems:
game_storage:
type: nvme_ssd
mount_options: "noatime,nodiratime,nobarrier"
scheduler: noop
cache:
type: tmpfs
size: 8GB
mount: /tmp/playcast-cache
limits:
max_open_files: 1048576
max_processes: 32768
max_locked_memory: unlimited
network:
interfaces:
primary:
mtu: 9000 # Jumbo frames for internal communication
queue_size: 4096
interrupt_affinity: [16-31] # Separate from game cores
firewall:
default_policy: DROP
rules:
- port: 80,443
protocol: tcp
action: ACCEPT
rate_limit: 1000/min
- port: 3478,5349 # STUN/TURN
protocol: udp
action: ACCEPT
- port: 49152-65535 # WebRTC data channels
protocol: udp
action: ACCEPT
quality_of_service:
game_traffic:
class: EF # Expedited Forwarding
priority: 7
bandwidth: guaranteed_50mbps
management_traffic:
class: AF31
priority: 3
bandwidth: best_effort
🐳 Container Orchestration
Kubernetes configuration for scalable game instance management with resource isolation.
# Kubernetes deployment for game instances
apiVersion: apps/v1
kind: Deployment
metadata:
name: playcast-game-instances
namespace: playcast-gaming
labels:
app: playcast-game
tier: gaming
spec:
replicas: 10
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 2
maxUnavailable: 1
selector:
matchLabels:
app: playcast-game
template:
metadata:
labels:
app: playcast-game
spec:
nodeSelector:
node-type: gaming
gpu-enabled: "true"
tolerations:
- key: gaming-workload
operator: Equal
value: "true"
effect: NoSchedule
containers:
- name: game-instance
image: playcast/game-runner:v2.1.0
resources:
requests:
cpu: "4"
memory: "8Gi"
nvidia.com/gpu: 1
ephemeral-storage: "10Gi"
limits:
cpu: "6"
memory: "12Gi"
nvidia.com/gpu: 1
ephemeral-storage: "20Gi"
env:
- name: GPU_MEMORY_FRACTION
value: "0.8"
- name: WEBRTC_ICE_SERVERS
valueFrom:
configMapKeyRef:
name: webrtc-config
key: ice_servers
- name: REDIS_CLUSTER_ENDPOINT
valueFrom:
secretKeyRef:
name: redis-credentials
key: cluster_endpoint
volumeMounts:
- name: game-assets
mountPath: /opt/games
readOnly: true
- name: shared-memory
mountPath: /dev/shm
- name: gpu-devices
mountPath: /dev/nvidia0
securityContext:
privileged: false
runAsNonRoot: true
runAsUser: 1000
capabilities:
add: ["SYS_NICE", "SYS_RESOURCE"]
drop: ["ALL"]
livenessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 30
periodSeconds: 10
timeoutSeconds: 5
readinessProbe:
httpGet:
path: /ready
port: 8080
initialDelaySeconds: 10
periodSeconds: 5
volumes:
- name: game-assets
persistentVolumeClaim:
claimName: game-assets-pvc
- name: shared-memory
emptyDir:
medium: Memory
sizeLimit: 2Gi
- name: gpu-devices
hostPath:
path: /dev/nvidia0
affinity:
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: node-type
operator: In
values: ["gaming"]
podAntiAffinity:
preferredDuringSchedulingIgnoredDuringExecution:
- weight: 100
podAffinityTerm:
labelSelector:
matchExpressions:
- key: app
operator: In
values: ["playcast-game"]
topologyKey: kubernetes.io/hostname
---
apiVersion: v1
kind: Service
metadata:
name: playcast-game-service
labels:
app: playcast-game
spec:
type: ClusterIP
ports:
- port: 8080
targetPort: 8080
name: http
- port: 9090
targetPort: 9090
name: websocket
protocol: TCP
selector:
app: playcast-game
---
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: playcast-game-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: playcast-game-instances
minReplicas: 5
maxReplicas: 50
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
- type: Resource
resource:
name: memory
target:
type: Utilization
averageUtilization: 80
- type: Pods
pods:
metric:
name: active_sessions
target:
type: AverageValue
averageValue: "8" # Max 8 concurrent sessions per pod
⚡ Performance Tuning
Advanced performance optimization for ultra-low latency gaming with maximum throughput.
{
"cpu_optimization": {
"thread_affinity": {
"game_threads": [0, 1, 2, 3],
"encoding_threads": [4, 5, 6, 7],
"network_threads": [8, 9],
"system_threads": [10, 11, 12, 13, 14, 15]
},
"scheduler": {
"policy": "SCHED_FIFO",
"priority": {
"game_process": 99,
"encoder": 90,
"network": 85,
"management": 50
}
},
"power_management": {
"governor": "performance",
"min_freq": "max",
"turbo_boost": true,
"c_states": "disabled"
}
},
"memory_optimization": {
"allocation": {
"huge_pages": {
"size": "2MB",
"count": 1024,
"node": "local"
},
"numa_policy": "bind",
"prefault": true
},
"garbage_collection": {
"algorithm": "G1GC",
"heap_size": "4GB",
"young_generation": "1GB",
"gc_threads": 4,
"concurrent_threads": 2
}
},
"gpu_optimization": {
"nvidia": {
"persistence_mode": true,
"compute_mode": "exclusive_process",
"power_limit": 400,
"memory_clock": 5500,
"graphics_clock": 2100,
"fan_speed": "auto"
},
"encoding": {
"preset": "p1", // Fastest preset
"profile": "high",
"level": "5.2",
"rc_mode": "cbr_hq",
"multipass": "quarter_resolution",
"adaptive_quantization": "temporal",
"lookahead": 8,
"b_frames": 0 // Minimize latency
}
},
"network_optimization": {
"tcp_settings": {
"congestion_control": "bbr",
"window_scaling": true,
"timestamps": false,
"selective_ack": true,
"no_delay": true,
"cork": false
},
"udp_settings": {
"receive_buffer": "16MB",
"send_buffer": "16MB",
"checksum": false,
"gso": true,
"gro": true
},
"webrtc": {
"ice_gathering_timeout": 3000,
"dtls_handshake_timeout": 5000,
"sctp_heartbeat_interval": 5000,
"rtp_packet_history": 100
}
},
"storage_optimization": {
"game_assets": {
"filesystem": "ext4",
"mount_options": [
"noatime", "nodiratime", "nobarrier",
"data=ordered", "commit=60"
],
"io_scheduler": "noop",
"read_ahead": "8192KB"
},
"cache": {
"vm_swappiness": 1,
"vm_vfs_cache_pressure": 50,
"vm_dirty_ratio": 15,
"vm_dirty_background_ratio": 5,
"transparent_hugepages": "madvise"
}
},
"encoding_optimization": {
"video": {
"codec": "h264",
"preset": "ultrafast",
"tune": "zerolatency",
"x264_params": {
"slice_max_size": 1500,
"slice_threads": 1,
"sync_lookahead": 0,
"rc_lookahead": 0,
"bframes": 0,
"cabac": false,
"refs": 1
}
},
"audio": {
"codec": "opus",
"bitrate": 64000,
"sample_rate": 48000,
"channels": 2,
"complexity": 0,
"packet_loss": 5,
"variable_bitrate": false
}
}
}
Real-Time Performance Metrics
Production Deployment Guide
Infrastructure Provisioning
Set up high-performance gaming servers with GPU acceleration, configure networking for minimal latency, and establish monitoring infrastructure.
Container Orchestration
Deploy Kubernetes cluster with specialized gaming node pools, configure resource quotas, and set up horizontal pod autoscaling.
Load Balancing & CDN
Configure global load balancers, set up CDN for game assets, and implement session affinity for WebRTC connections.
Security Hardening
Implement DDoS protection, configure firewalls, set up TLS termination, and enable comprehensive audit logging.
Performance Optimization
Apply kernel tuning, optimize GPU drivers, configure CPU isolation, and implement advanced caching strategies.
CPU Core Isolation: Always isolate CPU cores for game processes to prevent context switching and ensure deterministic performance.
Memory Management: Disable swap entirely and use huge pages for game memory allocation to reduce memory fragmentation.
Network Tuning: Configure interrupt coalescing and CPU affinity for network interfaces to minimize jitter and latency spikes.
GPU Persistence Mode: Enable NVIDIA persistence mode to avoid driver initialization delays between sessions.
NUMA Topology: Pin processes to specific NUMA nodes to ensure optimal memory access patterns and reduce cross-node traffic.
Real-time Monitoring: Implement microsecond-precision monitoring to catch performance anomalies before they affect user experience.