create a velocity plugin based on: 🔧 2. SERVER STABILITY & PERFORMANCE — EXPANDED A stable minigame network must handle bursty load, multiple platforms, and VR timing sensitivity without dropping below 20 TPS. 🏗️ 2.1 Architecture & Scalability 🖧 Multi-Server Architecture (Required) A single JVM instance cannot support: Multiple minigames simultaneously Load surges Multiple platform quirks Use: Proxy Layer: Velocity (recommended) or BungeeCord Game Layer: One server per minigame instance Lobby Layer: Always-online hub(s) Cluster Model Players → Proxy → Lobby → Minigame Instances → Databases & APIs 🌱 Horizontal Scaling (Scale-Out) Do not scale vertically past diminishing returns. Options: Static Pool: A preset number of minigame servers Dynamic Autoscaling: Add/remove minigame nodes based on: Player queue lengths Round countdown timing CPU/TPS load Autoscaling methods: Kubernetes (complex but powerful) AWS Fargate, Azure Container Apps, GCP GKE Custom script + Docker swarm 🔀 Load Balancing Rules Distribute players across servers evenly Prefer warm servers (avoid lag spikes on newly booted nodes) Keep capacity reserve (20–40% headroom) 🧱 2.2 Resource Isolation & Process Separation 🧩 Why isolation matters One bad plugin or lag spike in a minigame instance should never: Crash the whole network Tank lobby performance Drop VR frame rates ✔️ Recommended Resource Boundaries Separate JVM for: Each world-based minigame Dedicated JVM for: Lobby/hub Optional dedicated JVM for: Economy, chat sync, stats collectors 🗂️ Containerization Benefit (Optional but Ideal) Using Docker/Podman or similar: Limits CPU share per instance Limits memory usage Simplifies restarting crashed minigames Supports safe rollbacks 🧠 JVM Configuration Musts -Xms ≈ 75–90% of -Xmx (avoid heap resizing) GC tuned for latency, not throughput: ZGC or G1GC preferred Disable huge page surprises Set per-plugin resource watchdog timeout 📊 2.3 Monitoring, Metrics & Observability 🖥️ Track These Live System Metrics CPU per instance RAM usage and growth rate Disk I/O and bottlenecks Network traffic per node Minecraft Metrics TPS MSPT (milliseconds per tick) Player count Chunks loaded & entity count per world Packet throughput VR-Specific Observations Tick jitter tolerance Packet delivery latency Hit timing variance 🛠️ Monitoring Tools Prometheus + Grafana (industry standard) Velocity Logging Extensions Paper Timings (last-resort profiling) Spark Profiler (deep plugin profiling) 🚨 Alerting Triggers Send alerts when: TPS < 18 sustained > 30 seconds MSPT > 50 ms CPU > 90% for > 2 mins Memory swap risk detected Crash loops detected 🦾 2.4 Tick Optimization, Lag Mitigation & Tuning 🎯 Core TPS Goal 20 TPS = smooth play <18 TPS = visible jitter <15 TPS = VR sickness risk 🔩 Paper/Purpur Settings (Critical) Cap entity AI tick rates Reduce hopper ticks Lower redstone update frequency (if redstone exists at all) Disable TNT priority unless minigame uses it Use async chunk generation whenever safe 📦 Entity Control For public servers: Max entities per chunk Cap mobs per minigame (dynamic spawn rates) Sweep dropped items aggressively: Shorten item despawn Merge item stacks 🌍 Chunk Strategy Limit max view distance Java players: 8–10 Bedrock players: 5–8 (they request more by default) Use: Async chunk loading Chunk pre-gen before launch Disallow random exploration in minigames to avoid unpredictable chunk loads ✈️ Player Movement/Teleport Stress Avoid mass teleports in single tick (stagger operations) Pre-load spawn chunks for teleport destinations 🛡️ 2.5 Fault Tolerance & Automatic Recovery 🔁 Robust Restart Strategy Crash-monitor watchdog Detect JVM death Auto-restart instance Auto-reallocate players to fallback lobby Rolling server restarts Memory leak containment Restart every X hours or at low-pop hours 🎯 Player Experience Safeguards Transfer players safely: Mid-game → backup server if possible Or grant compensation rewards 🧯 Fail Closed, Not Open If load exceeds threshold: Deny new joins Slow non-essential tasks Shed background jobs 🧪 Canary Servers Test new builds in a hidden or staff-only minigame Monitor: TPS deviation Crash rate Memory leak signatures ⚙️ 2.6 Plugin & Code Performance 🏁 Performance First Design Rules No plugin should: Do heavy file I/O synchronously Run long loops on main thread Make unbounded list copies every tick 🔀 Async vs Sync Boundaries (Important!) Move these async: Database writes Stats sync Web hooks Scoreboard update aggregation NPC movement AI calculations (if possible) Do not move: World interactions Block breaks/place Entity spawn mechanics 🔒 Safe Plugin Upgrade Workflow Deploy to test environment Run load simulation Timings + spark profiling Promote to prod Monitor critical metrics first hour 🎮 2.7 Cross-Play & VR-Specific Performance Factors 👓 VR Constraints VR players rely on: Low-latency input Smooth state sync Predictable movement resolution Server must: Avoid rubberbanding at all cost Prioritize movement packets Avoid network compression delays > acceptable thresholds 🎮 Bedrock vs Java Performance Mismatch Bedrock clients: Send more movement packets Have global reach assumptions Expect shorter input → action latency Mitigate: Packet consolidation where safe Tick interpolation compensation Per-platform tuning: Projectile physics Knockback timing Jump arc validation 📌 SUMMARY: STABILITY = ENGINEERING FOR SPIKES A great minigame network: expects lag before players feel lag, isolates failures, scales horizontally, and optimizes for predictability, not peak throughput.