![](https://i-blog.csdnimg.cn/direct/ed6ca19c75e94c2da0a52c9d5d52df37.png)

// 高性能解释器实现（Rust语言）
#[wasmtime::component]
pub struct WasmEngine {
    #[wasmtime(component = "embedding")]
    pub linker: wasmtime::component::Linker<()>,
}

impl WasmEngine {
    pub fn instantiate(&mut self, bytes: &[u8]) -> Result<Instance> {
        let engine = Engine::default();
        let module = Module::from_binary(&engine, bytes)?;
        
        let mut store = Store::new(
            &engine, 
            WasmtimeState::new(Box::new(HostFunctions))
        );
        
        let instance = self.linker.instantiate(&mut store, &module)?;
        Ok(instance)
    }
}

// AOT编译优化
let compiler = Cranelift::new();
let engine = Engine::new(&compiler, Config::new().cranelift_opt_level(3))?;

# Krustlet节点注册配置
apiVersion: v1
kind: Node
metadata:
  name: wasm-node-01
  labels:
    node-type: wasm
spec:
  podCIDR: 10.244.1.0/24
  taints:
  - key: wasm
    value: "true"
    effect: NoSchedule

---
# Wasm工作负载定义
apiVersion: core.oam.dev/v1beta1
kind: Application
metadata:
  name: image-processor
spec:
  components:
    - name: resizer
      type: wasm
      properties:
        moduleURL: "oci://registry.acme.com/wasm/resize:v1.2.0"
        memoryLimit: "128Mi"
        environment:
          - name: QUALITY
            value: "85"

---
# 自定义调度策略
apiVersion: scheduling.k8s.io/v1
kind: PriorityClass
metadata:
  name: wasm-critical
value: 1000000
globalDefault: false
description: "用于关键Wasm工作负载"

![](https://i-blog.csdnimg.cn/direct/e7db86cf274e4186bb4dc0009bfe1985.png)

# 网络策略配置示例
apiVersion: projectcalico.org/v3
kind: NetworkPolicy
metadata:
  name: wasm-to-db
spec:
  selector: application == 'wasm'
  types:
  - Egress
  egress:
  - action: Allow
    protocol: TCP
    destination:
      selector: tier == 'database'
      ports: [5432]
  - action: Deny
    destination: {}

编译阶段:
  - 启用LTO链接优化
  - 剥离调试符号
  - SIMD指令扩展

运行时:
  - 内存池预分配策略
  - 模块预编译缓存
  - 并行解释器线程

调度层:
  - 拓扑感知亲和性
  - 请求批量合并
  - 热点函数JIT编译

监控项    | 采集工具         | 告警阈值
---------|----------------|---------
冷启动延迟 | OpenTelemetry  | >5ms 
内存泄漏率| Prometheus     | 每分钟增长>2MB
CPU抢占  | eBPF           | 连续3次>50ms