Windows in Kubernetes
Supported Versions: Kubernetes 1.32, 1.33, 1.34 最后更新: February 11, 2026
Kubernetes 最初是为 Linux containers 设计的,但从 1.14 版本开始增加了对 Windows containers(Windows 容器)的生产级支持。在本章中,我们将探讨如何在 Kubernetes 中运行 Windows workloads、其架构、限制,以及 Amazon EKS 中的 Windows 支持。
Table of Contents
- Windows Container Overview
- Kubernetes Windows Support Architecture
- Windows Node Limitations
- Windows Node Setup
- Deploying Windows Containers
- Networking
- Storage
- Monitoring and Logging
- Security
- Windows Support in Amazon EKS
- Best Practices
- Conclusion
Windows Container Overview
Windows containers 是运行在 Windows 操作系统上的 containers,可用于将 Windows 应用程序容器化并进行部署。
Windows Container Types
Windows containers 有两种类型:
Windows Server Containers:与 Linux containers 类似,它们共享宿主机 OS kernel。它们轻量且启动速度快,但要求与宿主机使用相同的 Windows 版本。
Hyper-V Isolation Containers:每个 container 都运行在一个轻量级 VM 中,提供更高级别的隔离。它们可以运行与宿主机不同的 Windows 版本,但会使用更多资源。
下图展示了两种 Windows container 类型之间的架构差异:
Windows Container Images
Windows container images 基于 Microsoft 提供的 base images:
- Windows Server Core:提供最小化 Windows Server 环境的轻量级 image
- Nano Server:占用空间更小的超轻量级 image
- Windows:提供完整 Windows Server 环境的 image
示例 Dockerfile:
FROM mcr.microsoft.com/windows/servercore:ltsc2019
WORKDIR /app
COPY . .
RUN powershell -Command "Install-WindowsFeature Web-Server"
EXPOSE 80
CMD ["powershell", "-Command", "Start-Service W3SVC; Get-Content -Path 'C:\\inetpub\\logs\\LogFiles\\W3SVC1\\u_ex*' -Wait"]Kubernetes Windows Support Architecture
Kubernetes 中的 Windows 支持基于混合环境。Control plane components 始终运行在 Linux 上,而 worker nodes 可以是 Linux 或 Windows。
Architecture Overview
Kubernetes 中的 Windows 支持架构如下:
- Linux Control Plane:kube-apiserver、kube-controller-manager、kube-scheduler 和 etcd 始终运行在 Linux 上。
- Linux Worker Nodes:运行 system components(CoreDNS、metrics-server 等)。
- Windows Worker Nodes:运行 Windows application workloads。
Windows Node Components
运行在 Windows nodes 上的 Kubernetes components:
- kubelet:管理 node 上的 pods 和 containers
- kube-proxy:管理网络规则
- CNI Plugin:网络配置
- CSI Plugin:存储管理
Windows Node Limitations
在 Kubernetes 中使用 Windows nodes 时,需要注意若干限制。
Feature Limitations
- Privileged Containers:Windows 不支持 privileged containers。
- Host Network Mode:Windows pods 不能使用 host network mode。
- Pod Security Context:不支持部分 security context 功能(runAsUser、fsGroup 等)。
- DaemonSet:运行在 Windows nodes 上的 DaemonSets 需要特殊考虑。
- emptyDir Volumes:Windows 不支持基于内存的 emptyDir volumes。
- Resource Limits:CPU limits 在 Windows 上的应用方式不同。
Networking Limitations
- Network Mode:Windows 仅支持 L3 networking。
- Service Types:Windows nodes 对某些 service types 存在限制。
- Load Balancing:部分 load balancing 功能可能受限。
Operating System Version Compatibility
Windows containers 与宿主机 OS 版本之间存在重要的兼容性注意事项:
| Container Base Image | Compatible Host OS Versions |
|---|---|
| Windows Server 2019 | Windows Server 2019 |
| Windows Server 2022 | Windows Server 2022 |
Hyper-V isolation 可以放宽这些限制,但需要额外资源。
Windows Node Setup
我们来了解向 Kubernetes cluster 添加 Windows nodes 的流程。
Prerequisites
在设置 Windows nodes 之前,请验证以下内容:
- Kubernetes Version:1.14 或更高版本
- Windows Version:Windows Server 2019 或更高版本
- Network Plugin:支持 Windows 的 CNI plugin(Calico、Flannel 等)
- Container Runtime:Docker、containerd 等
Preparing Windows Nodes
准备 Windows node 的步骤:
- Install Windows Server:安装 Windows Server 2019 或更高版本
- Enable Container Feature:
Install-WindowsFeature -Name Containers
Restart-Computer -Force- Install Docker:
Install-Module -Name DockerMsftProvider -Repository PSGallery -Force
Install-Package -Name Docker -ProviderName DockerMsftProvider -Force
Restart-Computer -Force- Install Kubernetes Components:
# Create directory
mkdir -p c:\k
# Download kubelet, kubeadm, kubectl
curl.exe -LO https://dl.k8s.io/v1.22.0/bin/windows/amd64/kubelet.exe
curl.exe -LO https://dl.k8s.io/v1.22.0/bin/windows/amd64/kubectl.exe
curl.exe -LO https://dl.k8s.io/v1.22.0/bin/windows/amd64/kube-proxy.exe
curl.exe -LO https://github.com/kubernetes-sigs/sig-windows-tools/releases/latest/download/wins.exe
# Move files to C:\k
mv kubelet.exe C:\k
mv kubectl.exe C:\k
mv kube-proxy.exe C:\k
mv wins.exe C:\k- Configure Network:
# Set firewall rules
New-NetFirewallRule -Name kubelet -DisplayName 'kubelet' -Enabled True -Direction Inbound -Protocol TCP -Action Allow -LocalPort 10250
New-NetFirewallRule -Name https -DisplayName 'https' -Enabled True -Direction Inbound -Protocol TCP -Action Allow -LocalPort 443
New-NetFirewallRule -Name http -DisplayName 'http' -Enabled True -Direction Inbound -Protocol TCP -Action Allow -LocalPort 80Joining Windows Node Using kubeadm
在 Linux control plane 上生成 join token:
kubeadm token create --print-join-command在 Windows node 上运行 join command:
# Run kubeadm join command
kubeadm join <control-plane-host>:<control-plane-port> --token <token> --discovery-token-ca-cert-hash sha256:<hash>
# Register and start kubelet service
sc.exe create kubelet binPath= "C:\k\kubelet.exe --windows-service --kubeconfig=C:\k\config"
Start-Service kubeletSetting Windows Node Labels
在 Windows nodes 上设置适当的 labels,以控制 workload scheduling:
kubectl label node <windows-node-name> kubernetes.io/os=windows
kubectl label node <windows-node-name> kubernetes.io/arch=amd64Deploying Windows Containers
我们来了解如何将 Windows containers 部署到 Kubernetes。
Using Node Selector
部署 Windows workloads 时,请使用 node selector,以确保它们被调度到 Windows nodes:
apiVersion: apps/v1
kind: Deployment
metadata:
name: iis-deployment
spec:
replicas: 2
selector:
matchLabels:
app: iis
template:
metadata:
labels:
app: iis
spec:
nodeSelector:
kubernetes.io/os: windows
containers:
- name: iis
image: mcr.microsoft.com/windows/servercore/iis:windowsservercore-ltsc2019
resources:
limits:
cpu: 1
memory: 800Mi
requests:
cpu: .1
memory: 300Mi
ports:
- containerPort: 80Resource Requests and Limits
Windows containers 的 resource requests 和 limits 与 Linux containers 的处理方式不同:
- CPU Limits:CPU limits 在 Windows 上的应用方式不同。例如,CPU limit 为 1 表示可以使用单个 CPU core 的 100%。
- Memory Limits:Windows containers 会遵守 memory limits,但某些 system processes 可能会导致额外开销。
Container Customization
在 Windows containers 中运行自定义 scripts:
apiVersion: v1
kind: Pod
metadata:
name: windows-custom-script
spec:
nodeSelector:
kubernetes.io/os: windows
containers:
- name: windows-container
image: mcr.microsoft.com/windows/servercore:ltsc2019
command:
- powershell.exe
- -Command
- |
while ($true) {
Write-Host "Hello from Windows container"
Start-Sleep -Seconds 10
}Multi-Container Pods
Windows 也支持 multi-container pods,但存在一些限制:
apiVersion: v1
kind: Pod
metadata:
name: windows-multi-container
spec:
nodeSelector:
kubernetes.io/os: windows
containers:
- name: web
image: mcr.microsoft.com/windows/servercore/iis:windowsservercore-ltsc2019
ports:
- containerPort: 80
- name: logger
image: mcr.microsoft.com/windows/servercore:ltsc2019
command:
- powershell.exe
- -Command
- |
while ($true) {
Get-Content -Path 'C:\inetpub\logs\LogFiles\W3SVC1\u_ex*' -Wait
}Networking
Windows nodes 上的 networking 与 Linux nodes 具有不同特性。
下图展示了混合 Windows 和 Linux nodes 的 Kubernetes cluster 的 networking 架构:
Supported Network Plugins
Windows nodes 支持的 network plugins:
- Flannel:VXLAN 或 host-gw mode
- Calico:VXLAN mode
- Antrea:基于 OVS 的 networking
- Azure CNI:用于 Azure environments
- AWS VPC CNI:用于 AWS environments
Flannel Setup Example
使用 Flannel 的 Windows networking 设置:
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: kube-flannel-ds-windows
namespace: kube-system
labels:
tier: node
app: flannel
spec:
selector:
matchLabels:
app: flannel
template:
metadata:
labels:
tier: node
app: flannel
spec:
affinity:
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: kubernetes.io/os
operator: In
values:
- windows
hostNetwork: true
containers:
- name: kube-flannel
image: sigwindowstools/flannel:v0.13.0
command:
- powershell
args:
- -file
- /opt/bin/flannel-host.ps1
env:
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: POD_NAMESPACE
valueFrom:
fieldRef:
fieldPath: metadata.namespace
volumeMounts:
- name: host-run
mountPath: /run
- name: cni
mountPath: /etc/cni/net.d
- name: flannel-cfg
mountPath: /etc/kube-flannel/
volumes:
- name: host-run
hostPath:
path: /run
- name: cni
hostPath:
path: /etc/cni/net.d
- name: flannel-cfg
configMap:
name: kube-flannel-cfgExposing Services
如何在 Windows nodes 上暴露 services:
apiVersion: v1
kind: Service
metadata:
name: iis-service
spec:
selector:
app: iis
ports:
- port: 80
targetPort: 80
type: LoadBalancerNetwork Policies
若要在 Windows nodes 上使用 network policies,需要使用支持 network policies 的 CNI plugin(例如 Calico):
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: allow-frontend-to-backend
namespace: default
spec:
podSelector:
matchLabels:
app: backend
os: windows
ingress:
- from:
- podSelector:
matchLabels:
app: frontend
ports:
- protocol: TCP
port: 80Storage
我们来了解 Windows nodes 上可用的 storage options。
下图展示了 Windows nodes 上可用的各种 storage options:
Supported Volume Types
Windows nodes 支持的 volume types:
- emptyDir:临时 storage(不支持基于内存的 emptyDir)
- hostPath:Host node filesystem
- configMap:Configuration data
- secret:Sensitive data
- azureFile:Azure File storage
- awsElasticBlockStore:AWS EBS volumes
- azureDisk:Azure Disk storage
- CSI:Container Storage Interface drivers
emptyDir Volume Example
apiVersion: v1
kind: Pod
metadata:
name: windows-emptydir
spec:
nodeSelector:
kubernetes.io/os: windows
containers:
- name: windows-container
image: mcr.microsoft.com/windows/servercore:ltsc2019
volumeMounts:
- name: temp-volume
mountPath: C:\temp
command:
- powershell.exe
- -Command
- |
Set-Content -Path C:\temp\test.txt -Value "Hello from Windows"
while ($true) {
Get-Content -Path C:\temp\test.txt
Start-Sleep -Seconds 10
}
volumes:
- name: temp-volume
emptyDir: {}hostPath Volume Example
apiVersion: v1
kind: Pod
metadata:
name: windows-hostpath
spec:
nodeSelector:
kubernetes.io/os: windows
containers:
- name: windows-container
image: mcr.microsoft.com/windows/servercore:ltsc2019
volumeMounts:
- name: logs-volume
mountPath: C:\logs
command:
- powershell.exe
- -Command
- |
Set-Content -Path C:\logs\app.log -Value "Application log"
while ($true) {
Add-Content -Path C:\logs\app.log -Value "Log entry at $(Get-Date)"
Start-Sleep -Seconds 10
}
volumes:
- name: logs-volume
hostPath:
path: C:\k\logs
type: DirectoryOrCreateConfigMap and Secret Volume Example
apiVersion: v1
kind: ConfigMap
metadata:
name: windows-config
data:
config.json: |
{
"setting1": "value1",
"setting2": "value2"
}
---
apiVersion: v1
kind: Secret
metadata:
name: windows-secret
type: Opaque
data:
username: YWRtaW4= # admin
password: cGFzc3dvcmQ= # password
---
apiVersion: v1
kind: Pod
metadata:
name: windows-config-secret
spec:
nodeSelector:
kubernetes.io/os: windows
containers:
- name: windows-container
image: mcr.microsoft.com/windows/servercore:ltsc2019
volumeMounts:
- name: config-volume
mountPath: C:\config
- name: secret-volume
mountPath: C:\secret
command:
- powershell.exe
- -Command
- |
Get-Content -Path C:\config\config.json
Get-Content -Path C:\secret\username
Get-Content -Path C:\secret\password
while ($true) { Start-Sleep -Seconds 10 }
volumes:
- name: config-volume
configMap:
name: windows-config
- name: secret-volume
secret:
secretName: windows-secretUsing CSI Drivers
在 Windows 上使用 CSI drivers 的示例:
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: windows-pvc
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 10Gi
storageClassName: windows-csi
---
apiVersion: v1
kind: Pod
metadata:
name: windows-csi-pod
spec:
nodeSelector:
kubernetes.io/os: windows
containers:
- name: windows-container
image: mcr.microsoft.com/windows/servercore:ltsc2019
volumeMounts:
- name: data-volume
mountPath: C:\data
command:
- powershell.exe
- -Command
- |
Set-Content -Path C:\data\file.txt -Value "Persistent data"
while ($true) { Start-Sleep -Seconds 10 }
volumes:
- name: data-volume
persistentVolumeClaim:
claimName: windows-pvcMonitoring and Logging
我们来了解 Windows nodes 和 containers 的 monitoring 与 logging 方法。
Monitoring
用于 monitoring Windows nodes 的工具:
- Prometheus Windows Exporter:收集 Windows node metrics
- metrics-server:提供基础 resource usage metrics
- Datadog, Dynatrace, New Relic:商业 monitoring solutions
在 Windows nodes 上安装 Prometheus Windows Exporter:
# Download Windows Exporter
Invoke-WebRequest -Uri https://github.com/prometheus-community/windows_exporter/releases/download/v0.16.0/windows_exporter-0.16.0-amd64.msi -OutFile windows_exporter.msi
# Install Windows Exporter
Start-Process msiexec.exe -ArgumentList '/i', 'windows_exporter.msi', 'ENABLED_COLLECTORS=cpu,memory,disk,net,service,os,system', '/quiet' -WaitPrometheus 配置:
scrape_configs:
- job_name: 'windows-nodes'
static_configs:
- targets: ['windows-node-1:9182', 'windows-node-2:9182']Logging
用于收集 Windows container logs 的工具:
- Fluent Bit:轻量级 log collector
- Fluentd:Log collection and forwarding
- Elasticsearch:Log storage and search
- Azure Monitor:用于 Azure environments
- CloudWatch Logs:用于 AWS environments
在 Windows nodes 上安装 Fluent Bit:
# Download Fluent Bit
Invoke-WebRequest -Uri https://fluentbit.io/releases/1.8/fluent-bit-1.8.11-win64.zip -OutFile fluent-bit.zip
# Extract
Expand-Archive -Path fluent-bit.zip -DestinationPath C:\fluent-bit
# Create configuration file
@"
[SERVICE]
Flush 5
Daemon Off
Log_Level info
[INPUT]
Name winlog
Channels Application,System,Security
[OUTPUT]
Name es
Match *
Host elasticsearch-host
Port 9200
Index windows_logs
"@ | Out-File -FilePath C:\fluent-bit\conf\fluent-bit.conf -Encoding ascii
# Register service
sc.exe create fluent-bit binPath= "C:\fluent-bit\bin\fluent-bit.exe -c C:\fluent-bit\conf\fluent-bit.conf"
Start-Service fluent-bitApplication Log Collection
收集 Windows container application logs:
apiVersion: v1
kind: Pod
metadata:
name: windows-logging
spec:
nodeSelector:
kubernetes.io/os: windows
containers:
- name: iis
image: mcr.microsoft.com/windows/servercore/iis:windowsservercore-ltsc2019
volumeMounts:
- name: logs
mountPath: C:\inetpub\logs\LogFiles
- name: log-collector
image: mcr.microsoft.com/windows/servercore:ltsc2019
command:
- powershell.exe
- -Command
- |
while ($true) {
Get-Content -Path 'C:\inetpub\logs\LogFiles\W3SVC1\u_ex*' -Wait
}
volumeMounts:
- name: logs
mountPath: C:\inetpub\logs\LogFiles
volumes:
- name: logs
emptyDir: {}Security
我们来了解 Windows nodes 和 containers 的 security considerations。
Windows Node Security
Windows node security 建议:
- Apply Latest Updates:定期应用 Windows security updates
- Firewall Configuration:正确配置 Windows Defender Firewall
- Least Privilege Principle:仅授予必要的最低权限
- Antivirus Software:安装适当的 antivirus software
- Group Policy:应用 group policies 以进行 security hardening
Windows Container Security
Windows container security 建议:
- Minimal Base Image:使用尽可能小的 base image(Nano Server 等)
- Image Scanning:扫描 container images 中的漏洞
- ReadOnlyRootFilesystem:尽可能使用 read-only root filesystem
- Non-Privileged User:以 non-privileged users 运行应用程序
- Network Policies:应用适当的 network policies
RunAsUsername
在 Windows containers 中,可以使用 runAsUsername 而不是 runAsUser 来指定在 container 内运行的用户:
apiVersion: v1
kind: Pod
metadata:
name: windows-runasusername
spec:
nodeSelector:
kubernetes.io/os: windows
securityContext:
windowsOptions:
runAsUserName: "ContainerUser"
containers:
- name: windows-container
image: mcr.microsoft.com/windows/servercore:ltsc2019
command:
- powershell.exe
- -Command
- |
whoami
while ($true) { Start-Sleep -Seconds 10 }Group Managed Service Accounts (gMSA)
用于 Windows containers 中 Active Directory authentication 的 gMSA 配置:
- Create gMSA in Active Directory:
# Create gMSA
New-ADServiceAccount -Name WebApp1 -DNSHostName WebApp1.contoso.com -ServicePrincipalNames http/WebApp1.contoso.com -PrincipalsAllowedToRetrieveManagedPassword "Domain Controllers", "Domain Computers"- Store gMSA Credentials in Kubernetes:
apiVersion: v1
kind: Secret
metadata:
name: gmsa-cred-spec
type: microsoft.com/gmsa-credential-spec
data:
credspec.json: <base64-encoded-credential-spec>- Apply gMSA Configuration to Pod:
apiVersion: v1
kind: Pod
metadata:
name: windows-gmsa
spec:
nodeSelector:
kubernetes.io/os: windows
securityContext:
windowsOptions:
gmsaCredentialSpecName: gmsa-cred-spec
containers:
- name: windows-container
image: mcr.microsoft.com/windows/servercore:ltsc2019
command:
- powershell.exe
- -Command
- |
whoami
while ($true) { Start-Sleep -Seconds 10 }Windows Support in Amazon EKS
我们来了解如何在 Amazon EKS 中运行 Windows workloads。
下图展示了 Amazon EKS 中的 Windows 支持架构:
Enabling Windows Support in EKS
在 Amazon EKS 中启用 Windows 支持的步骤:
- Update VPC CNI Plugin:
kubectl apply -f https://raw.githubusercontent.com/aws/amazon-vpc-cni-k8s/release-1.11/config/master/vpc-resource-controller.yaml- Install Windows VPC Admission Webhook:
kubectl apply -f https://raw.githubusercontent.com/aws/amazon-vpc-cni-k8s/release-1.11/config/master/vpc-admission-webhook.yamlCreating Windows Node Groups
使用 eksctl 创建 Windows node group:
eksctl create nodegroup \
--cluster my-cluster \
--region us-west-2 \
--name windows-ng \
--node-type t3.large \
--nodes 2 \
--nodes-min 1 \
--nodes-max 4 \
--managed \
--node-ami-family WindowsServer2019FullContainer使用 AWS Management Console 创建 Windows node group:
- 在 EKS console 中选择 cluster
- 选择 "Compute" tab
- 点击 "Add node group"
- 输入 node group details
- 选择 "Windows" 作为 AMI type
- 配置其余设置并创建
Deploying Windows Applications in EKS
在 EKS 中部署 Windows applications 的示例:
apiVersion: apps/v1
kind: Deployment
metadata:
name: windows-server-iis
spec:
selector:
matchLabels:
app: windows-server-iis
tier: backend
track: stable
replicas: 2
template:
metadata:
labels:
app: windows-server-iis
tier: backend
track: stable
spec:
nodeSelector:
kubernetes.io/os: windows
containers:
- name: windows-server-iis
image: mcr.microsoft.com/windows/servercore/iis:windowsservercore-ltsc2019
ports:
- name: http
containerPort: 80
resources:
limits:
cpu: 1
memory: 800Mi
requests:
cpu: .1
memory: 300Mi
---
apiVersion: v1
kind: Service
metadata:
name: windows-server-iis-service
labels:
app: windows-server-iis
spec:
ports:
- port: 80
protocol: TCP
selector:
app: windows-server-iis
type: LoadBalancerWindows Container Logging in EKS
使用 CloudWatch Logs 收集 Windows container logs:
apiVersion: v1
kind: ConfigMap
metadata:
name: fluent-bit-config
namespace: amazon-cloudwatch
data:
fluent-bit.conf: |
[SERVICE]
Flush 5
Log_Level info
Daemon off
[INPUT]
Name tail
Tag kube.*
Path /var/log/containers/*.log
Parser docker
DB /var/fluent-bit/state/flb_container.db
Mem_Buf_Limit 50MB
[FILTER]
Name kubernetes
Match kube.*
Kube_URL https://kubernetes.default.svc:443
Merge_Log On
[OUTPUT]
Name cloudwatch_logs
Match kube.*
region us-west-2
log_group_name /aws/eks/my-cluster/windows-logs
log_stream_prefix windows-
auto_create_group trueBest Practices
我们来了解在 Kubernetes 中运行 Windows workloads 的 best practices。
Cluster Design Best Practices
- Mixed Node Pools:使用适当组合的 Linux 和 Windows nodes
- Node Labels and Taints:使用适当的 node labels 和 taints 来隔离 workloads
- Version Compatibility:验证 Kubernetes version 和 Windows version 之间的兼容性
- Network Plugin Selection:选择支持 Windows 的合适 network plugin
- High Availability:为关键 workloads 配置 high availability
Application Design Best Practices
- Container Image Optimization:使用小而高效的 container images
- Resource Requests and Limits:设置适当的 resource requests 和 limits
- Stateless Design:尽可能设计 stateless applications
- Logging and Monitoring:配置有效的 logging 和 monitoring
- Security Hardening:应用适当的 security contexts 和 network policies
Operations Best Practices
- Regular Updates:定期更新 Windows nodes 和 container images
- Automation:自动化 deployment 和 management tasks
- Backup and Recovery:定期备份重要数据
- Troubleshooting Tools:构建适当的 troubleshooting tools 和流程
- Documentation:记录配置和流程
EKS-Specific Best Practices
- Managed Node Groups:尽可能使用 managed node groups
- IAM Roles for Service Accounts (IRSA):按 pod 管理 IAM permissions
- VPC CNI Configuration:根据 networking requirements 配置 VPC CNI
- Security Groups:配置适当的 security groups
- Cost Optimization:选择适当的 instance types 和 sizes
Conclusion
Kubernetes 中的 Windows 支持持续演进,现在你可以在生产环境中运行 Windows workloads。Windows nodes 可以与 Linux nodes 在同一个 cluster 中并行运行,使你能够在单个 Kubernetes cluster 中管理多样化 workloads。
Windows containers 支持将 .NET Framework 应用程序、Windows services 以及其他 Windows-specific workloads 容器化,从而利用 Kubernetes orchestration capabilities。不过,与 Linux containers 相比仍存在一些限制,因此理解并妥善处理这些限制非常重要。
Amazon EKS 为 Windows nodes 提供 managed services,使部署和管理 Windows workloads 变得简单。利用 EKS 的 Windows 支持,可以简化将 Windows applications 迁移到现代 container environments 的过程。
要在 Kubernetes 中成功实现 Windows,遵循适当的规划、设计和运维 best practices 非常重要。这样可以高效管理 Windows 和 Linux workloads,并充分利用 Kubernetes 的所有优势。
Quiz
要测试你在本章中学到的内容,请尝试 Windows in Kubernetes Quiz。