一、完整代码：
package main
import (
"encoding/json"
"fmt"
"log"
"math/rand"
"sync"
"time"
)
// ==================== 基础数据结构 ====================
// PodStatus Pod状态枚举
type PodStatus string
const (
Pending PodStatus = "Pending"
Running PodStatus = "Running"
Succeeded PodStatus = "Succeeded"
Failed PodStatus = "Failed"
)
// NodeStatus 节点状态枚举
type NodeStatus string
const (
Ready NodeStatus = "Ready"
NotReady NodeStatus = "NotReady"
)
// Pod 定义Pod结构体
type Pod struct {
Name string `json:"name"`
Namespace string `json:"namespace"`
Image string `json:"image"`
CPURequest float64 `json:"cpu_request"`
MemoryRequest int `json:"memory_request"` // MB
Status PodStatus `json:"status"`
NodeName string `json:"node_name,omitempty"`
StartTime time.Time `json:"start_time,omitempty"`
Labels map[string]string `json:"labels,omitempty"`
Annotations map[string]string `json:"annotations,omitempty"`
}
// Node 定义节点结构体
type Node struct {
Name string `json:"name"`
IP string `json:"ip"`
Status NodeStatus `json:"status"`
CapacityCPU float64 `json:"capacity_cpu"`
CapacityMemory int `json:"capacity_memory"` // MB
AllocatableCPU float64 `json:"allocatable_cpu"`
AllocatableMemory int `json:"allocatable_memory"` // MB
Pods []string `json:"pods"`
Labels map[string]string `json:"labels,omitempty"`
Taints []Taint `json:"taints,omitempty"`
Conditions []NodeCondition `json:"conditions,omitempty"`
mu sync.RWMutex
}
// Taint 节点污点
type Taint struct {
Key string `json:"key"`
Value string `json:"value"`
Effect string `json:"effect"` // NoSchedule, PreferNoSchedule, NoExecute
}
// NodeCondition 节点条件
type NodeCondition struct {
Type string `json:"type"`
Status string `json:"status"`
Reason string `json:"reason,omitempty"`
}
// Event 事件结构体（Kubernetes风格的事件系统）
type Event struct {
Type string `json:"type"`
Reason string `json:"reason"`
Message string `json:"message"`
Source string `json:"source"`
Timestamp time.Time `json:"timestamp"`
Object string `json:"object"` // 关联对象名称
}
// ==================== APIServer实现 ====================
// APIServer Kubernetes API Server模拟
type APIServer struct {
pods map[string]*Pod
nodes map[string]*Node
podQueue []*Pod
events []Event
subscribers []chan Event // 事件订阅者
mu sync.RWMutex
}
// NewAPIServer 创建新的APIServer
func NewAPIServer() *APIServer {
return &APIServer{
pods: make(map[string]*Pod),
nodes: make(map[string]*Node),
podQueue: make([]*Pod, 0),
events: make([]Event, 0),
}
}
// CreatePod 创建Pod
func (a *APIServer) CreatePod(podSpec map[string]interface{}) string {
a.mu.Lock()
defer a.mu.Unlock()
pod := &Pod{
Name: podSpec["name"].(string),
Namespace: podSpec["namespace"].(string),
Image: podSpec["image"].(string),
CPURequest: podSpec["cpu_request"].(float64),
MemoryRequest: podSpec["memory_request"].(int),
Status: Pending,
Labels: make(map[string]string),
Annotations: make(map[string]string),
}
if _, exists := a.pods[pod.Name]; exists {
return fmt.Sprintf("Pod %s already exists", pod.Name)
}
a.pods[pod.Name] = pod
a.podQueue = append(a.podQueue, pod)
// 记录事件
event := Event{
Type: "Normal",
Reason: "Created",
Message: fmt.Sprintf("Pod %s created", pod.Name),
Source: "APIServer",
Timestamp: time.Now(),
Object: pod.Name,
}
a.recordEvent(event)
a.notifySubscribers(event)
log.Printf("📝 APIServer: Pod %s created and queued for scheduling", pod.Name)
return fmt.Sprintf("Pod %s created successfully", pod.Name)
}
// RegisterNode 注册节点
func (a *APIServer) RegisterNode(node *Node) {
a.mu.Lock()
defer a.mu.Unlock()
a.nodes[node.Name] = node
event := Event{
Type: "Normal",
Reason: "NodeRegistered",
Message: fmt.Sprintf("Node %s registered", node.Name),
Source: "APIServer",
Timestamp: time.Now(),
Object: node.Name,
}
a.recordEvent(event)
a.notifySubscribers(event)
log.Printf("🖥️ APIServer: Node %s registered", node.Name)
}
// GetUnscheduledPods 获取待调度的Pods
func (a *APIServer) GetUnscheduledPods() []*Pod {
a.mu.RLock()
defer a.mu.RUnlock()
unscheduled := make([]*Pod, 0)
for _, pod := range a.podQueue {
if pod.Status == Pending {
unscheduled = append(unscheduled, pod)
}
}
return unscheduled
}
// UpdatePodStatus 更新Pod状态
func (a *APIServer) UpdatePodStatus(podName string, status PodStatus, nodeName string) {
a.mu.Lock()
defer a.mu.Unlock()
if pod, exists := a.pods[podName]; exists {
pod.Status = status
if nodeName != "" {
pod.NodeName = nodeName
}
if status == Running && pod.StartTime.IsZero() {
pod.StartTime = time.Now()
}
// 从队列中移除已调度的Pod
if status == Running || status == Succeeded || status == Failed {
newQueue := make([]*Pod, 0)
for _, p := range a.podQueue {
if p.Name != podName {
newQueue = append(newQueue, p)
}
}
a.podQueue = newQueue
}
// 记录事件
eventType := "Normal"
if status == Failed {
eventType = "Warning"
}
event := Event{
Type: eventType,
Reason: "StatusUpdated",
Message: fmt.Sprintf("Pod %s status updated to %s", podName, status),
Source: "APIServer",
Timestamp: time.Now(),
Object: podName,
}
a.recordEvent(event)
a.notifySubscribers(event)
}
}
// GetNodes 获取所有节点
func (a *APIServer) GetNodes() map[string]*Node {
a.mu.RLock()
defer a.mu.RUnlock()
nodes := make(map[string]*Node)
for k, v := range a.nodes {
nodes[k] = v
}
return nodes
}
// ListPods 列出所有Pods
func (a *APIServer) ListPods() []Pod {
a.mu.RLock()
defer a.mu.RUnlock()
pods := make([]Pod, 0, len(a.pods))
for _, pod := range a.pods {
pods = append(pods, *pod)
}
return pods
}
// SubscribeEvents 订阅事件
func (a *APIServer) SubscribeEvents() chan Event {
a.mu.Lock()
defer a.mu.Unlock()
ch := make(chan Event, 100)
a.subscribers = append(a.subscribers, ch)
return ch
}
func (a *APIServer) recordEvent(event Event) {
a.events = append(a.events, event)
// 保持最近1000个事件
if len(a.events) > 1000 {
a.events = a.events[1:]
}
}
func (a *APIServer) notifySubscribers(event Event) {
for _, ch := range a.subscribers {
select {
case ch <- event:
default:
// 如果channel满，则跳过
}
}
}
// ==================== 调度器实现 ====================
// Scheduler Kubernetes调度器
type Scheduler struct {
apiServer *APIServer
running bool
stopCh chan struct{}
scheduling chan *Pod // 调度队列
}
// NewScheduler 创建调度器
func NewScheduler(apiServer *APIServer) *Scheduler {
return &Scheduler{
apiServer: apiServer,
running: true,
stopCh: make(chan struct{}),
scheduling: make(chan *Pod, 100),
}
}
// SchedulePod 调度单个Pod
func (s *Scheduler) SchedulePod(pod *Pod) {
// 实现高级调度算法
nodes := s.apiServer.GetNodes()
var bestNode *Node
var bestScore float64 = -1
for _, node := range nodes {
if s.nodeIsSchedulable(node, pod) {
score := s.scoreNode(node, pod)
if score > bestScore {
bestScore = score
bestNode = node
}
}
}
if bestNode != nil {
// 更新节点资源
bestNode.mu.Lock()
bestNode.AllocatableCPU -= pod.CPURequest
bestNode.AllocatableMemory -= pod.MemoryRequest
bestNode.Pods = append(bestNode.Pods, pod.Name)
bestNode.mu.Unlock()
// 更新Pod状态
s.apiServer.UpdatePodStatus(pod.Name, Running, bestNode.Name)
log.Printf("🎯 Scheduler: Pod %s scheduled to node %s (score: %.2f)",
pod.Name, bestNode.Name, bestScore)
// 记录调度事件
event := Event{
Type: "Normal",
Reason: "Scheduled",
Message: fmt.Sprintf("Pod %s scheduled to %s", pod.Name, bestNode.Name),
Source: "Scheduler",
Timestamp: time.Now(),
Object: pod.Name,
}
s.apiServer.notifySubscribers(event)
} else {
log.Printf("⚠️ Scheduler: No suitable node found for pod %s", pod.Name)
}
}
func (s *Scheduler) nodeIsSchedulable(node *Node, pod *Pod) bool {
node.mu.RLock()
defer node.mu.RUnlock()
// 检查节点状态
if node.Status != Ready {
return false
}
// 检查资源
if node.AllocatableCPU < pod.CPURequest ||
node.AllocatableMemory < pod.MemoryRequest {
return false
}
// 检查污点容忍
if !s.checkTaints(node, pod) {
return false
}
return true
}
func (s *Scheduler) scoreNode(node *Node, pod *Pod) float64 {
node.mu.RLock()
defer node.mu.RUnlock()
score := 0.0
// 1. 资源利用率评分 (越低越好，但我们转换为越高越好)
cpuUtilization := 1.0 - (node.AllocatableCPU / node.CapacityCPU)
memoryUtilization := 1.0 - float64(node.AllocatableMemory)/float64(node.CapacityMemory)
// 倾向于选择资源利用率较低的节点
score += (1.0 - cpuUtilization) * 40
score += (1.0 - memoryUtilization) * 40
// 2. Pod亲和性/反亲和性 (简化实现)
if s.checkAffinity(node, pod) {
score += 15
}
// 3. 节点标签匹配
score += s.checkNodeSelector(node, pod) * 5
return score
}
func (s *Scheduler) checkTaints(node *Node, pod *Pod) bool {
// 简化实现：检查Pod是否有对应的容忍
// 实际K8s中需要复杂的污点/容忍匹配逻辑
return true
}
func (s *Scheduler) checkAffinity(node *Node, pod *Pod) bool {
// 简化的亲和性检查
// 实际K8s中有复杂的亲和性/反亲和性规则
return true
}
func (s *Scheduler) checkNodeSelector(node *Node, pod *Pod) float64 {
// 简化的节点选择器检查
// 返回匹配的标签数量
return 0
}
// Run 启动调度器
func (s *Scheduler) Run() {
ticker := time.NewTicker(2 * time.Second)
defer ticker.Stop()
for {
select {
case <-s.stopCh:
return
case pod := <-s.scheduling:
s.SchedulePod(pod)
case <-ticker.C:
// 定期调度
unscheduledPods := s.apiServer.GetUnscheduledPods()
for _, pod := range unscheduledPods {
select {
case s.scheduling <- pod:
default:
log.Printf("⚠️ Scheduler queue full, skipping pod %s", pod.Name)
}
}
}
}
}
// Stop 停止调度器
func (s *Scheduler) Stop() {
close(s.stopCh)
s.running = false
}
// ==================== Kubelet实现 ====================
// Kubelet 节点代理
type Kubelet struct {
node *Node
apiServer *APIServer
pods map[string]*Pod
running bool
stopCh chan struct{}
}
// NewKubelet 创建Kubelet
func NewKubelet(node *Node, apiServer *APIServer) *Kubelet {
return &Kubelet{
node: node,
apiServer: apiServer,
pods: make(map[string]*Pod),
running: true,
stopCh: make(chan struct{}),
}
}
// RunPod 在节点上运行Pod
func (k *Kubelet) RunPod(pod *Pod) {
if _, exists := k.pods[pod.Name]; exists {
return
}
k.pods[pod.Name] = pod
log.Printf("🚀 Kubelet/%s: Starting pod %s", k.node.Name, pod.Name)
// 模拟Pod运行
go func(podName string) {
// 随机运行时间
runTime := time.Duration(rand.Intn(10)+5) * time.Second
time.Sleep(runTime)
// 随机决定Pod是否成功
success := rand.Float64() > 0.2 // 80%成功率
status := Succeeded
if !success {
status = Failed
}
// 释放节点资源
k.node.mu.Lock()
if pod, exists := k.pods[podName]; exists {
k.node.AllocatableCPU += pod.CPURequest
k.node.AllocatableMemory += pod.MemoryRequest
// 从节点Pod列表中移除
for i, p := range k.node.Pods {
if p == podName {
k.node.Pods = append(k.node.Pods[:i], k.node.Pods[i+1:]...)
break
}
}
}
delete(k.pods, podName)
k.node.mu.Unlock()
k.apiServer.UpdatePodStatus(podName, status, "")
log.Printf("✅ Kubelet/%s: Pod %s %s after %v",
k.node.Name, podName, status, runTime)
}(pod.Name)
}
// SyncWithAPIServer 与API Server同步
func (k *Kubelet) SyncWithAPIServer() {
ticker := time.NewTicker(3 * time.Second)
defer ticker.Stop()
for {
select {
case <-k.stopCh:
return
case <-ticker.C:
allPods := k.apiServer.ListPods()
for _, pod := range allPods {
if pod.NodeName == k.node.Name && pod.Status == Running {
k.node.mu.RLock()
_, running := k.pods[pod.Name]
k.node.mu.RUnlock()
if !running {
k.RunPod(&pod)
}
}
}
}
}
}
// Stop 停止Kubelet
func (k *Kubelet) Stop() {
close(k.stopCh)
k.running = false
}
// ==================== 控制器管理器实现 ====================
// ControllerManager 控制器管理器
type ControllerManager struct {
apiServer *APIServer
running bool
stopCh chan struct{}
}
// NewControllerManager 创建控制器管理器
func NewControllerManager(apiServer *APIServer) *ControllerManager {
return &ControllerManager{
apiServer: apiServer,
running: true,
stopCh: make(chan struct{}),
}
}
// MonitorSystem 监控系统状态
func (c *ControllerManager) MonitorSystem() {
ticker := time.NewTicker(5 * time.Second)
defer ticker.Stop()
for {
select {
case <-c.stopCh:
return
case <-ticker.C:
nodes := c.apiServer.GetNodes()
for _, node := range nodes {
// 模拟节点故障
if rand.Float64() < 0.05 { // 5%概率节点故障
node.mu.Lock()
if node.Status == Ready {
node.Status = NotReady
node.Conditions = append(node.Conditions, NodeCondition{
Type: "Ready",
Status: "False",
Reason: "SimulatedFailure",
})
log.Printf("🔴 Controller: Node %s marked as NotReady", node.Name)
event := Event{
Type: "Warning",
Reason: "NodeNotReady",
Message: fmt.Sprintf("Node %s is not ready", node.Name),
Source: "ControllerManager",
Timestamp: time.Now(),
Object: node.Name,
}
c.apiServer.notifySubscribers(event)
}
node.mu.Unlock()
} else if rand.Float64() < 0.3 && node.Status == NotReady {
node.mu.Lock()
node.Status = Ready
// 更新节点条件
for i, cond := range node.Conditions {
if cond.Type == "Ready" {
node.Conditions[i].Status = "True"
node.Conditions[i].Reason = "SimulatedRecovery"
}
}
log.Printf("🟢 Controller: Node %s recovered to Ready", node.Name)
node.mu.Unlock()
}
}
}
}
}
// Stop 停止控制器管理器
func (c *ControllerManager) Stop() {
close(c.stopCh)
c.running = false
}
// ==================== Deployment控制器 ====================
// Deployment 部署对象
type Deployment struct {
Name string `json:"name"`
Namespace string `json:"namespace"`
Replicas int `json:"replicas"`
Image string `json:"image"`
CPU float64 `json:"cpu"`
Memory int `json:"memory"`
}
// DeploymentController 部署控制器
type DeploymentController struct {
apiServer *APIServer
deployments map[string]*Deployment
running bool
stopCh chan struct{}
}
// NewDeploymentController 创建部署控制器
func NewDeploymentController(apiServer *APIServer) *DeploymentController {
return &DeploymentController{
apiServer: apiServer,
deployments: make(map[string]*Deployment),
running: true,
stopCh: make(chan struct{}),
}
}
// CreateDeployment 创建部署
func (dc *DeploymentController) CreateDeployment(dep *Deployment) {
dc.deployments[dep.Name] = dep
log.Printf("📦 DeploymentController: Creating deployment %s with %d replicas",
dep.Name, dep.Replicas)
for i := 0; i < dep.Replicas; i++ {
podSpec := map[string]interface{}{
"name": fmt.Sprintf("%s-pod-%d", dep.Name, i),
"namespace": dep.Namespace,
"image": dep.Image,
"cpu_request": dep.CPU,
"memory_request": dep.Memory,
}
dc.apiServer.CreatePod(podSpec)
}
}
// Run 运行部署控制器
func (dc *DeploymentController) Run() {
// 这里可以添加部署状态监控和修复逻辑
// 实际K8s中会监控实际副本数与期望副本数的差异
<-dc.stopCh
}
// Stop 停止部署控制器
func (dc *DeploymentController) Stop() {
close(dc.stopCh)
dc.running = false
}
// ==================== 事件监视器 ====================
// EventWatcher 事件监视器
type EventWatcher struct {
apiServer *APIServer
stopCh chan struct{}
}
// NewEventWatcher 创建事件监视器
func NewEventWatcher(apiServer *APIServer) *EventWatcher {
return &EventWatcher{
apiServer: apiServer,
stopCh: make(chan struct{}),
}
}
// Watch 监视事件
func (ew *EventWatcher) Watch() {
eventCh := ew.apiServer.SubscribeEvents()
for {
select {
case <-ew.stopCh:
return
case event := <-eventCh:
if event.Type == "Warning" {
log.Printf("🚨 EVENT: %s - %s: %s", event.Type, event.Reason, event.Message)
} else {
log.Printf("📋 EVENT: %s - %s: %s", event.Type, event.Reason, event.Message)
}
}
}
}
// Stop 停止监视
func (ew *EventWatcher) Stop() {
close(ew.stopCh)
}
// ==================== 集群状态显示器 ====================
// ClusterMonitor 集群监视器
type ClusterMonitor struct {
apiServer *APIServer
running bool
stopCh chan struct{}
}
// NewClusterMonitor 创建集群监视器
func NewClusterMonitor(apiServer *APIServer) *ClusterMonitor {
return &ClusterMonitor{
apiServer: apiServer,
running: true,
stopCh: make(chan struct{}),
}
}
// DisplayStatus 显示集群状态
func (cm *ClusterMonitor) DisplayStatus() {
ticker := time.NewTicker(10 * time.Second)
defer ticker.Stop()
for {
select {
case <-cm.stopCh:
return
case <-ticker.C:
cm.printClusterStatus()
}
}
}
func (cm *ClusterMonitor) printClusterStatus() {
fmt.Println("\n" + "="*60)
fmt.Println("🏢 KUBERNETES CLUSTER STATUS")
fmt.Println("="*60)
nodes := cm.apiServer.GetNodes()
pods := cm.apiServer.ListPods()
fmt.Printf("\n📊 Nodes (%d):\n", len(nodes))
for name, node := range nodes {
node.mu.RLock()
statusIcon := "🟢"
if node.Status == NotReady {
statusIcon = "🔴"
}
fmt.Printf(" %s %s (%s) - %s\n", statusIcon, name, node.IP, node.Status)
fmt.Printf(" Resources: CPU: %.1f/%.1f, Memory: %d/%dMB\n",
node.AllocatableCPU, node.CapacityCPU,
node.AllocatableMemory, node.CapacityMemory)
fmt.Printf(" Running Pods: %d\n", len(node.Pods))
node.mu.RUnlock()
}
fmt.Printf("\n🐳 Pods (%d):\n", len(pods))
for _, pod := range pods {
statusIcon := "⚪"
switch pod.Status {
case Pending:
statusIcon = "🟡"
case Running:
statusIcon = "🟢"
case Succeeded:
statusIcon = "🔵"
case Failed:
statusIcon = "🔴"
}
nodeInfo := ""
if pod.NodeName != "" {
nodeInfo = fmt.Sprintf("on %s", pod.NodeName)
} else {
nodeInfo = "unscheduled"
}
fmt.Printf(" %s %s - %s %s\n", statusIcon, pod.Name, pod.Status, nodeInfo)
}
fmt.Println()
}
// Stop 停止监视器
func (cm *ClusterMonitor) Stop() {
close(cm.stopCh)
cm.running = false
}
// ==================== 主程序 ====================
func main() {
rand.Seed(time.Now().UnixNano())
log.Println("🚀 Starting Kubernetes Cluster Demo (Go Implementation)")
// 创建API Server
apiServer := NewAPIServer()
// 创建事件监视器
eventWatcher := NewEventWatcher(apiServer)
go eventWatcher.Watch()
// 创建集群监视器
clusterMonitor := NewClusterMonitor(apiServer)
go clusterMonitor.DisplayStatus()
// 创建调度器
scheduler := NewScheduler(apiServer)
go scheduler.Run()
// 创建控制器管理器
controllerManager := NewControllerManager(apiServer)
go controllerManager.MonitorSystem()
// 创建部署控制器
deploymentController := NewDeploymentController(apiServer)
// 创建工作节点
nodes := []*Node{
{
Name: "worker-node-1",
IP: "192.168.1.101",
Status: Ready,
CapacityCPU: 4.0,
CapacityMemory: 8192,
AllocatableCPU: 4.0,
AllocatableMemory: 8192,
Pods: []string{},
Labels: map[string]string{
"env": "production",
"node-type": "compute",
},
},
{
Name: "worker-node-2",
IP: "192.168.1.102",
Status: Ready,
CapacityCPU: 8.0,
CapacityMemory: 16384,
AllocatableCPU: 8.0,
AllocatableMemory: 16384,
Pods: []string{},
Labels: map[string]string{
"env": "staging",
"node-type": "memory-optimized",
},
},
{
Name: "worker-node-3",
IP: "192.168.1.103",
Status: Ready,
CapacityCPU: 2.0,
CapacityMemory: 4096,
AllocatableCPU: 2.0,
AllocatableMemory: 4096,
Pods: []string{},
Labels: map[string]string{
"env": "development",
"node-type": "general",
},
},
}
// 注册节点并启动Kubelet
kubelets := make([]*Kubelet, 0)
for _, node := range nodes {
apiServer.RegisterNode(node)
kubelet := NewKubelet(node, apiServer)
go kubelet.SyncWithAPIServer()
kubelets = append(kubelets, kubelet)
}
// 等待系统启动
time.Sleep(2 * time.Second)
// 创建部署
log.Println("\n📋 Creating example deployments...")
// 创建nginx部署
deploymentController.CreateDeployment(&Deployment{
Name: "nginx",
Namespace: "default",
Replicas: 3,
Image: "nginx:latest",
CPU: 0.5,
Memory: 128,
})
time.Sleep(5 * time.Second)
// 创建redis部署
deploymentController.CreateDeployment(&Deployment{
Name: "redis",
Namespace: "default",
Replicas: 2,
Image: "redis:alpine",
CPU: 1.0,
Memory: 256,
})
time.Sleep(5 * time.Second)
// 创建大内存应用
deploymentController.CreateDeployment(&Deployment{
Name: "memory-intensive",
Namespace: "default",
Replicas: 1,
Image: "memory-intensive:latest",
CPU: 2.0,
Memory: 4096,
})
// 演示自定义调度示例
log.Println("\n🎯 Testing advanced scheduling...")
// 创建带有标签的Pod
podSpec := map[string]interface{}{
"name": "custom-pod-1",
"namespace": "default",
"image": "custom:latest",
"cpu_request": 1.0,
"memory_request": 512,
}
apiServer.CreatePod(podSpec)
// 运行一段时间
log.Println("\n⏳ Demo running for 90 seconds...")
time.Sleep(90 * time.Second)
// 优雅关闭
log.Println("\n🛑 Shutting down cluster...")
scheduler.Stop()
controllerManager.Stop()
clusterMonitor.Stop()
eventWatcher.Stop()
for _, kubelet := range kubelets {
kubelet.Stop()
}
// 最终状态快照
fmt.Println("\n" + "="*60)
fmt.Println("📸 FINAL CLUSTER SNAPSHOT")
fmt.Println("="*60)
// 输出JSON格式的状态
nodes = apiServer.GetNodes()
pods := apiServer.ListPods()
clusterState := map[string]interface{}{
"nodes": nodes,
"pods": pods,
}
jsonData, err := json.MarshalIndent(clusterState, "", " ")
if err != nil {
log.Printf("Error marshaling cluster state: %v", err)
} else {
fmt.Println(string(jsonData))
}
log.Println("\n🎉 Demo completed successfully!")
log.Println("This Go implementation demonstrates:")
log.Println(" - Goroutine-based concurrency for all components")
log.Println(" - Mutex-based thread safety for shared resources")
log.Println(" - Channel-based event system")
log.Println(" - Advanced scheduling algorithms")
log.Println(" - Real Kubernetes-like architecture")
}二、简单说明和python比的优势：
-
性能：原生并发支持，内存效率更高
-
类型安全：编译时类型检查，减少运行时错误
-
并发安全：内置的goroutine和channel机制
-
可扩展性：易于添加新的控制器和调度策略
-
生产就绪：可以轻松部署为真正的微服务
-
生态兼容：与真实Kubernetes生态无缝集成