tunnel
Tunnel 包括 tunnel-cloud 和 tunnel-edge 两个组件。作为云边通信的桥梁,负责在云和边之间维护一套稳定的网络连接。它打通云端和无公网暴露的边端节点去实现 Kubernetes 一致的节点运维和管理。
架构图
实现方案
节点注册
- 边缘节点上tunnel-edge主动连接云端tunnel-cloud service,service根据负载均衡策略将请求转到tunnel-cloud的pod。
- tunnel-edge与tunnel-cloud建立gRPC连接后,tunnel-cloud会把自身的podIp和tunnel-edge所在节点的nodeName的映射写入DNS。gRPC连接断开之后,tunnel-cloud会删除podIp和节点名映射。
云端请求的转发
- apiserver或者其它云端的应用访问边缘节点上的kubelet或者其它应用时,tunnel-dns通过DNS劫持(将host中的节点名解析为tunnel-cloud的podIp)把请求转发到tunnel-cloud的pod。
- tunnel-cloud根据节点名把请求信息转发到节点名对应的与tunnel-edge建立的gRPC连接。
- tunnel-edge根据接收的请求信息请求边缘节点上的应用。
配置文件
tunnel组件包括tunnel-cloud和tunnel-edge,运行在边缘节点tunnel-edge与运行在云端的tunnel-cloud建立gRPC长连接,用于云端转发到边缘节点的隧道。
tunnel-cloud
tunnel-cloud包含stream、TCP和HTTPS三个模块。其中stream模块包括gRPC server和DNS组件,gRPC server用于接收tunnel-edge的gRPC长连接请求,DNS组件 用于把tunnel-cloud内存中的节点名和IP的映射更新到coredns hosts插件的configmap中。
tunnel-cloud配置文件
tunnel-cloud-conf.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: tunnel-cloud-conf
namespace: edge-system
data:
tunnel_cloud.toml: |
[mode]
[mode.cloud]
[mode.cloud.stream] # stream模块
[mode.cloud.stream.server] # gRPC server组件
grpcport = 9000 # gRPC server监听的端口
logport = 8000 # log和健康检查的http server的监听端口,使用(curl -X PUT http://podip:logport/debug/flags/v -d "8")可以设置日志等级
channelzaddr = "0.0.0.0:6000" # gRPC [channlez](https://grpc.io/blog/a-short-introduction-to-channelz/) server的监听地址,用于获取gRPC的调试信息
key = "../../conf/certs/cloud.key" # gRPC server的server端私钥
cert = "../../conf/certs/cloud.crt" # gRPC server的server端证书
tokenfile = "../../conf/token" # token的列表文件(nodename:随机字符串),用于验证边缘节点tunnel-edge发送的token,如果根据节点名验证没有通过,会用default对应的token去验证
[mode.cloud.stream.dns] # DNS组件
configmap= "proxy-nodes" # coredns hosts插件的配置文件的configmap
hosts = "/etc/superedge/proxy/nodes/hosts" # coredns hosts插件的配置文件的configmap在tunnel-cloud pod的挂载文件的路径
service = "proxy-cloud-public" # tunnel-cloud的service name
debug = true # DNS组件开关,debug=true DNS组件关闭,**tunnel-cloud** 内存中的节点名映射不会保存到coredns hosts插件的配置文件的configmap,默认值为false
[mode.cloud.tcp] # TCP模块
"0.0.0.0:6443" = "127.0.0.1:6443" # 参数的格式是"0.0.0.0:cloudPort": "EdgeServerIp:EdgeServerPort",cloudPort为tunnel-cloud TCP模块server监听端口,EdgeServerIp和EdgeServerPort为代理转发的边缘节点server的IP和端口
[mode.cloud.https] # HTTPS模块
cert ="../../conf/certs/kubelet.crt" # HTTPS模块server端证书
key = "../../conf/certs/kubelet.key" # HTTPS模块server端私钥
[mode.cloud.https.addr] # 参数的格式是"httpsServerPort":"EdgeHttpsServerIp:EdgeHttpsServerPort",httpsServerPort为HTTPS模块server端的监听端口,EdgeHttpsServerIp:EdgeHttpsServerPort为代理转发边缘节点HTTPS server的IP和port,HTTPS模块的server是跳过验证client端证书的,因此可以使用(curl -k https://podip:httpsServerPort)访问HTTPS模块监听的端口,addr参数的数据类型为map,可以支持监听多个端口
"10250" = "101.206.162.213:10250"
tunnel-edge
tunnel-edge同样包含stream、TCP和HTTPS三个模块。其中stream模块包括gRPC client组件,用于向 tunnel-cloud发送gRPC长连接的请求。
tunnel-edge 配置文件
tunnel-edge-conf.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: tunnel-edge-conf
namespace: edge-system
data:
tunnel_edge.toml: |
[mode]
[mode.edge]
[mode.edge.stream] # stream模块
[mode.edge.stream.client] # gRPC client组件
token = "6ff2a1ea0f1611eb9896362096106d9d" # 访问tunnel-cloud的验证token
cert = "../../conf/certs/ca.crt" # tunnel-cloud的gRPC server 的 server端证书的ca证书,用于验证server端证书
dns = "localhost" # tunnel-cloud的gRPC server证书签的IP或域名
servername = "localhost:9000" # tunnel-cloud的gRPC server的IP和端口
logport = 7000 # log和健康检查的http server的监听端口,使用(curl -X PUT http://podip:logport/debug/flags/v -d "8")可以设置日志等级
channelzaddr = "0.0.0.0:5000" # gRPC channlez server的监听地址,用于获取gRPC的调试信息
[mode.edge.https] # HTTPS模块
cert= "../../conf/certs/kubelet-client.crt" # tunnel-cloud 代理转发的HTTPS server的client端的证书
key= "../../conf/certs/kubelet-client.key" # **tunnel-cloud** 代理转发的HTTPS server的client端的私钥
tunnel 转发模式
tunnel代理支持TCP或HTTPS请求转发。
TCP转发
TCP模块会把TCP请求转发到第一个连接云端的边缘节点, 当tunnel-cloud只有一个tunnel-edge连接时, 请求会转发到tunnel-edge所在的节点
tunnel-cloud 配置文件
tunnel-cloud-conf.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: tunnel-cloud-conf
namespace: edge-system
data:
tunnel_cloud.toml: |
[mode]
[mode.cloud]
[mode.cloud.stream]
[mode.cloud.stream.server]
grpcport = 9000
key = "/etc/superedge/tunnel/certs/tunnel-cloud-server.key"
cert = "/etc/superedge/tunnel/certs/tunnel-cloud-server.crt"
tokenfile = "/etc/superedge/tunnel/token/token"
logport = 51000
[mode.cloud.stream.dns]
debug = true
[mode.cloud.tcp]
"0.0.0.0:6443" = "127.0.0.1:6443"
[mode.cloud.https]
tunnel-cloud 的gRPC server监听在9000端口,等待tunnel-edge建立gRPC长连接。访问tunnel-cloud的6443的请求会被转发到边缘节点的访问地址127.0.0.1:6443的server
tunnel-cloud.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: tunnel-cloud-conf
namespace: edge-system
data:
tunnel_cloud.toml: |
{{tunnel_cloud.toml}}
---
apiVersion: v1
kind: ConfigMap
metadata:
name: tunnel-cloud-token
namespace: edge-system
data:
token: |
default:{{.TunnelCloudEdgeToken}}
---
apiVersion: v1
data:
tunnel-cloud-server.crt: '{{tunnel-cloud-server.crt}}'
tunnel-cloud-server.key: '{{tunnel-cloud-server.key}}'
kind: Secret
metadata:
name: tunnel-cloud-cert
namespace: edge-system
type: Opaque
---
apiVersion: v1
kind: Service
metadata:
name: tunnel-cloud
namespace: edge-system
spec:
ports:
- name: proxycloud
port: 9000
protocol: TCP
targetPort: 9000
selector:
app: tunnel-cloud
type: NodePort
---
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: tunnel-cloud
name: tunnel-cloud
namespace: edge-system
spec:
selector:
matchLabels:
app: tunnel-cloud
template:
metadata:
labels:
app: tunnel-cloud
spec:
serviceAccount: tunnel-cloud
serviceAccountName: tunnel-cloud
containers:
- name: tunnel-cloud
image: superedge/tunnel:v0.2.0
imagePullPolicy: IfNotPresent
livenessProbe:
httpGet:
path: /cloud/healthz
port: 51010
initialDelaySeconds: 10
periodSeconds: 60
timeoutSeconds: 3
successThreshold: 1
failureThreshold: 1
command:
- /usr/local/bin/tunnel
args:
- --m=cloud
- --c=/etc/superedge/tunnel/conf/mode.toml
- --log-dir=/var/log/tunnel
- --alsologtostderr
volumeMounts:
- name: token
mountPath: /etc/superedge/tunnel/token
- name: certs
mountPath: /etc/superedge/tunnel/certs
- name: conf
mountPath: /etc/superedge/tunnel/conf
ports:
- containerPort: 9000
name: tunnel
protocol: TCP
- containerPort: 6443
name: apiserver
protocol: TCP
resources:
limits:
cpu: 50m
memory: 100Mi
requests:
cpu: 10m
memory: 20Mi
volumes:
- name: token
configMap:
name: tunnel-cloud-token
- name: certs
secret:
secretName: tunnel-cloud-cert
- name: conf
configMap:
name: tunnel-cloud-conf
nodeSelector:
node-role.kubernetes.io/master: ""
tolerations:
- key: "node-role.kubernetes.io/master"
operator: "Exists"
effect: "NoSchedule"
tunnel-cloud-token的configmap中的TunnelCloudEdgeToken为随机字符串,用于验证tunnel-edge;tunnel-cloud-cert的secret对应的gRPC server的server端证书和私钥。
tunnel-edge 配置文件
tunnel-edge-conf.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: tunnel-edge-conf
namespace: edge-system
data:
tunnel_edge.toml: |
[mode]
[mode.edge]
[mode.edge.stream]
[mode.edge.stream.client]
token = "{{.TunnelCloudEdgeToken}}"
cert = "/etc/superedge/tunnel/certs/tunnel-ca.crt"
dns = "{{ServerName}}"
servername = "{{.MasterIP}}:9000"
logport = 51000
tunnel-edge使用MasterIP:9000访问云端tunnel-cloud,使用TunnelCloudEdgeToken做为验证token,发向云端进行验证; token为tunnel-cloud的部署deployment的tunnel-cloud-token的configmap中的TunnelCloudEdgeToken;DNS为tunnel-cloud的gRPC server的证书签的域名或IP;MasterIP为云端tunnel-cloud 所在节点的IP,9000为 tunnel-cloud service的nodePort
tunnel-edge.yaml
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: tunnel-edge
rules:
- apiGroups: [""]
resources: ["configmaps"]
verbs: ["get"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: tunnel-edge
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: tunnel-edge
subjects:
- kind: ServiceAccount
name: tunnel-edge
namespace: edge-system
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: tunnel-edge
namespace: edge-system
---
apiVersion: v1
kind: ConfigMap
metadata:
name: tunnel-edge-conf
namespace: edge-system
data:
mode.toml: |
{{tunnel-edge-conf}}
---
apiVersion: v1
data:
tunnel-ca.crt: '{{.tunnel-ca.crt}}'
kind: Secret
metadata:
name: tunnel-edge-cert
namespace: edge-system
type: Opaque
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: tunnel-edge
namespace: edge-system
spec:
selector:
matchLabels:
app: tunnel-edge
template:
metadata:
labels:
app: tunnel-edge
spec:
hostNetwork: true
containers:
- name: tunnel-edge
image: superedge/tunnel:v0.2.0
imagePullPolicy: IfNotPresent
livenessProbe:
httpGet:
path: /edge/healthz
port: 51010
initialDelaySeconds: 10
periodSeconds: 180
timeoutSeconds: 3
successThreshold: 1
failureThreshold: 3
resources:
limits:
cpu: 20m
memory: 20Mi
requests:
cpu: 10m
memory: 10Mi
command:
- /usr/local/bin/tunnel
env:
- name: NODE_NAME
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: spec.nodeName
args:
- --m=edge
- --c=/etc/superedge/tunnel/conf/tunnel_edge.toml
- --log-dir=/var/log/tunnel
- --alsologtostderr
volumeMounts:
- name: certs
mountPath: /etc/superedge/tunnel/certs
- name: conf
mountPath: /etc/superedge/tunnel/conf
volumes:
- secret:
secretName: tunnel-edge-cert
name: certs
- configMap:
name: tunnel-edge-conf
name: conf
tunnel-edge-cert的secret对应的验证gRPC server证书的ca证书;tunnel-edge是以deployment的形式部署的,副本数为1,TCP转发现在只支持转发到单个节点。
HTTPS转发
通过tunnel将云端请求转发到边缘节点,需要使用边缘节点名做为HTTPS request的host的域名,域名解析可以复用tunnel-coredns 。使用HTTPS转发需要部署tunnel-cloud 、tunnel-edge 和tunnel-coredns三个模块。
tunnel-cloud 配置文件
tunnel-cloud-conf.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: tunnel-cloud-conf
namespace: edge-system
data:
tunnel_cloud.toml: |
[mode]
[mode.cloud]
[mode.cloud.stream]
[mode.cloud.stream.server]
grpcport = 9000
logport = 51010
key = "/etc/superedge/tunnel/certs/tunnel-cloud-server.key"
cert = "/etc/superedge/tunnel/certs/tunnel-cloud-server.crt"
tokenfile = "/etc/superedge/tunnel/token/token"
[mode.cloud.stream.dns]
configmap= "tunnel-nodes"
hosts = "/etc/superedge/tunnel/nodes/hosts"
service = "tunnel-cloud"
[mode.cloud.https]
cert = "/etc/superedge/tunnel/certs/apiserver-kubelet-server.crt"
key = "/etc/superedge/tunnel/certs/apiserver-kubelet-server.key"
[mode.cloud.https.addr]
"10250" = "127.0.0.1:10250"
tunnel-cloud 的gRPC server监听在9000端口,等待tunnel-edge建立gRPC长连接。访问tunnel-cloud的10250的请求会被转发到边缘节点的访问地址127.0.0.1:10250的server。
tunel-cloud.yaml
tunnel-edge 配置文件
tunnel-edge-conf.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: tunnel-edge-conf
namespace: edge-system
data:
tunnel_edge.toml: |
[mode]
[mode.edge]
[mode.edge.stream]
[mode.edge.stream.client]
token = "{{.TunnelCloudEdgeToken}}"
cert = "/etc/superedge/tunnel/certs/cluster-ca.crt"
dns = "tunnel.cloud.io"
servername = "{{.MasterIP}}:9000"
logport = 51000
[mode.edge.https]
cert= "/etc/superedge/tunnel/certs/apiserver-kubelet-client.crt"
key= "/etc/superedge/tunnel/certs/apiserver-kubelet-client.key"
HTTPS模块的证书和私钥是tunnel-cloud代理转发的边缘节点的server的server端证书对应的client证书,例如tunnel-cloud转发apiserver到kubelet的请求,需要配置kubelet 10250端口server端证书对应的client证书和私钥。
tunnel-edge.yaml
本地调试
tunnel支持HTTPS(HTTPS模块)和TCP协议(TCP模块),协议模块的数据是通过gRPC长连接传输(stream模块),因此可以分模块进行本地调试。本地调试可以使用go的testing测试框架。配置文件的生成可以通过调用config_test的 测试方法Test_Config(其中constant变量config_path是生成的配置文件的路径相对于config_test go 文件的路径,main_path 是配置文件相对testing文件的 路径),例如stream模块的本地调试:config_path = “../../../conf”(生成的配置文件在项目的根目录下的conf文件夹),则 main_path="../../../../conf"((stream_test相对 于conf的路径),同时生成配置文件支持配置ca.crt和ca.key(在configpath/certs/ca.crt和configpath/certs/ca.key存在时则使用指定的ca签发证书)。
stream模块调试
stream server的启动
func Test_StreamServer(t *testing.T) {
err := conf.InitConf(util.CLOUD, "../../../../conf/cloud_mode.toml")
if err != nil {
t.Errorf("failed to initialize stream server configuration file err = %v", err)
return
}
model.InitModules(util.CLOUD)
InitStream(util.CLOUD)
model.LoadModules(util.CLOUD)
context.GetContext().RegisterHandler(util.MODULE_DEBUG, util.STREAM, StreamDebugHandler)
model.ShutDown()
}
加载配置文件(conf.InitConf)->初始化模块(model.InitMoudule)->初始化stream模块(InitStream)->加载初始化的模块->注册自定义的handler(StreamDebugHandler)->关闭模块(model.ShutDown)
StreamDebugHandler是调试云边消息收发的自定义handler
stream client的启动
func Test_StreamClient(t *testing.T) {
os.Setenv(util.NODE_NAME_ENV, "node1")
err := conf.InitConf(util.EDGE, "../../../../conf/edge_mode.toml")
if err != nil {
t.Errorf("failed to initialize stream client configuration file err = %v", err)
return
}
model.InitModules(util.EDGE)
InitStream(util.EDGE)
model.LoadModules(util.EDGE)
context.GetContext().RegisterHandler(util.MODULE_DEBUG, util.STREAM, StreamDebugHandler)
go func() {
running := true
for running {
node := context.GetContext().GetNode(os.Getenv(util.NODE_NAME_ENV))
if node != nil {
node.Send2Node(&proto.StreamMsg{
Node: os.Getenv(util.NODE_NAME_ENV),
Category: util.STREAM,
Type: util.MODULE_DEBUG,
Topic: uuid.NewV4().String(),
Data: []byte{'c'},
})
}
time.Sleep(10 * time.Second)
}
}()
model.ShutDown()
}
设置节点名环境变量->加载配置文件(conf.InitConf)->初始化模块(model.InitMoudule)->初始化stream模块(InitStream)->加载初始化的模块->注册自定义的handler(StreamDebugHandler)->关闭模块(model.ShutDown)
节点名是通过NODE_NAME的环境变量加载的
TCP模块调试
TCP server的调试
func Test_TcpServer(t *testing.T) {
err := conf.InitConf(util.CLOUD, "../../../../conf/cloud_mode.toml")
if err != nil {
t.Errorf("failed to initialize stream server configuration file err = %v", err)
return
}
model.InitModules(util.CLOUD)
InitTcp()
stream.InitStream(util.CLOUD)
model.LoadModules(util.CLOUD)
model.ShutDown()
}
需要同时初始化TCP模块(InitTcp)和stream模块(stream.InitStream)
TCP client的调试
func Test_TcpClient(t *testing.T) {
os.Setenv(util.NODE_NAME_ENV, "node1")
err := conf.InitConf(util.EDGE, "../../../../conf/edge_mode.toml")
if err != nil {
t.Errorf("failed to initialize stream client configuration file err = %v", err)
return
}
model.InitModules(util.EDGE)
InitTcp()
stream.InitStream(util.EDGE)
model.LoadModules(util.EDGE)
model.ShutDown()
}
HTTPS模块调试
和TCP模块调试类似,需要同时加载HTTPS模块和stream模块
tunnel main()函数的调试
在tunnel的main的测试文件tunnel_test,需要使用init()设置参数,同时需要使用TestMain解析参数和调用测试方法
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