前言
之前使用了iptables、ipvs,在数据包的必经之路(POSTROUTING)上拦截并且记录日志,本文使用一个比较成熟的组件envoy来记录后端pod的真实ip
环境准备
环境准备如同之前
▶ kubectl get pod -owide
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
backend-6d4cdd4c68-mqzgj 1/1 Running 4 8d 10.244.0.73 wilson <none> <none>
backend-6d4cdd4c68-qjp9m 1/1 Running 4 7d3h 10.244.0.74 wilson <none> <none>
nginx-test-54d79c7bb8-zmrff 1/1 Running 2 23h 10.244.0.75 wilson <none> <none>
▶ kubectl get svc
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
backend-service ClusterIP 10.105.148.194 <none> 10000/TCP 8d
nginx-test NodePort 10.110.71.55 <none> 80:30785/TCP 14d
envoy
如同之前所说,需要有一个做负载均衡的组件来转发到后端的多pod,之前使用的是iptables/ipvs,它们对于链路追踪比较困难,那就要有一个组件来代替它们做负载均衡,所以该组件要么在backend之前,要么在nginx之后,那我们选择在nginx之后
创建envoy configmap
apiVersion: v1
kind: ConfigMap
metadata:
name: envoy-config
data:
envoy.yaml: |
static_resources:
listeners:
- name: ingress_listener
address:
socket_address:
address: 0.0.0.0
port_value: 10000
filter_chains:
- filters:
- name: envoy.filters.network.http_connection_manager
typed_config:
"@type": type.googleapis.com/envoy.extensions.filters.network.http_connection_manager.v3.HttpConnectionManager
stat_prefix: ingress_http
http_protocol_options:
accept_http_10: true
common_http_protocol_options:
idle_timeout: 300s
codec_type: AUTO
route_config:
name: local_route
virtual_hosts:
- name: app
domains: ["*"]
routes:
- match: { prefix: "/test" }
route:
cluster: app_service
http_filters:
- name: envoy.filters.http.router
typed_config:
"@type": type.googleapis.com/envoy.extensions.filters.http.router.v3.Router
access_log:
- name: envoy.access_loggers.stdout
typed_config:
"@type": type.googleapis.com/envoy.extensions.access_loggers.stream.v3.StdoutAccessLog
log_format:
text_format: "[%START_TIME%] \"%REQ(:METHOD)% %REQ(X-ENVOY-ORIGINAL-PATH?:PATH)% %PROTOCOL%\" %RESPONSE_CODE% %BYTES_SENT% %DURATION% %REQ(X-REQUEST-ID)% \"%REQ(USER-AGENT)%\" \"%REQ(X-FORWARDED-FOR)%\" %UPSTREAM_HOST% %UPSTREAM_CLUSTER% %RESPONSE_FLAGS%\n"
clusters:
- name: app_service
connect_timeout: 1s
type: STRICT_DNS
lb_policy: ROUND_ROBIN
load_assignment:
cluster_name: app_service
endpoints:
- lb_endpoints:
- endpoint:
address:
socket_address:
address: "backend-service"
port_value: 10000
admin:
access_log_path: "/tmp/access.log"
address:
socket_address:
address: 0.0.0.0
port_value: 9901
创建sidecar
与nginx-test同pod,通过patch的方式添加container
kubectl patch deployment nginx-test --type='json' -p='
[
{
"op": "add",
"path": "/spec/template/spec/volumes/-",
"value": {
"configMap": {
"defaultMode": 420,
"name": "envoy-config"
},
"name": "envoy-config"
}
},
{
"op": "add",
"path": "/spec/template/spec/containers/-",
"value": {
"args": [
"-c",
"/etc/envoy/envoy.yaml"
],
"image": "registry.cn-beijing.aliyuncs.com/wilsonchai/envoy:v1.32-latest",
"imagePullPolicy": "IfNotPresent",
"name": "envoy",
"ports": [
{
"containerPort": 10000,
"protocol": "TCP"
},
{
"containerPort": 9901,
"protocol": "TCP"
}
],
"volumeMounts": [
{
"mountPath": "/etc/envoy",
"name": "envoy-config"
}
]
}
}
]'
▶ kubectl get pod -owide -l app=nginx-test
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
nginx-test-6df974c9f9-qksd4 2/2 Running 0 1d 10.244.0.80 wilson <none> <none>
在nginx-test pod中额外创建了envoy container,envoy打开了10000端口,并且envoy将访问/test的请求都转发到了backend-service:10000,现在需要将nginx-test的出流量转发至envoy,让envoy做负载均衡
修改nginx-test的upstream
将backend-service改成127.0.0.1,由于在同一个pod,同一个net namespace,直接用127即可
upstream backend_ups {
# server backend-service:10000;
server 127.0.0.1:10000;
}
server {
listen 80;
listen [::]:80;
server_name localhost;
location /test {
proxy_pass http://backend_ups;
}
}
重启后生效
验证
curl 10.22.12.178:30785/test,并且监控envoy的日志kubectl logs -f -l app=nginx-test -c envoy
[2025-12-16T09:45:56.365Z] "GET /test HTTP/1.0" 200 40 0 99032619-a060-481d-8f0d-9d773fad9b12 "curl/7.81.0" "-" 10.105.148.194:10000 app_service -
咦?upstream_host怎么显示得还是10.105.148.194,这是service ip,并不是后端pod的真实ip,这是怎么回事??
问题解决
仔细回想一下负载均衡的工作原理:根据不同的算法(如:rr,wlc等)转发到后端的real server,但是当前提供的后端,依然是k8s的service:backend-service,所以这种配置方式,虽然加了一层envoy,但是本质依然还是使用k8s service作为负载均衡
k8s service不但提供了负载均衡的作用,还有个重要的功能,就是服务发现,所以必须要使用service来做服务发现,又不能使用service的负载均衡
所幸k8s提供了headless service来满足这种需求,访问headless service,返回一组running的pod列表,让访问者自定义做负载均衡,ok,那就使用headless试试
apiVersion: v1
kind: Service
metadata:
name: backend-headless-service
spec:
clusterIP: None
selector:
app: backend
ports:
- name: http
port: 10000
targetPort: 10000
这里的clusterIP: None是创建headless service的关键
再修改envoy的配置文件,将转发修改为headless service
...
clusters:
- name: app_service
connect_timeout: 1s
type: STRICT_DNS
lb_policy: ROUND_ROBIN
load_assignment:
cluster_name: app_service
endpoints:
- lb_endpoints:
- endpoint:
address:
socket_address:
address: "backend-headless-service"
port_value: 10000
...
[2025-12-16T10:05:56.365Z] "GET /test HTTP/1.0" 200 40 0 2b029187-cddb-4278-99b8-2953a7e841a0 "curl/7.81.0" "-" 10.244.0.81:10000 app_service -
[2025-12-16T10:05:57.453Z] "GET /test HTTP/1.0" 200 40 1 384f9394-7ff9-4abb-b0f8-f9b69f2ba992 "curl/7.81.0" "-" 10.244.0.82:10000 app_service -
确实已经转发到后端真实pod ip去了
小结
当前的架构:
每个pod都有一个envoy sidecar,想要节约envoy资源,可以多个pod使用一个envoy,将envoy部署为daemonset,每个节点一个,然后调度到该节点的pod都转发到该envoy即可
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至此,本文结束
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