关于service-mesh:使用-Flomesh-强化-Spring-Cloud-服务治理

这篇是对于如何应用 Flomesh[1] 服务网格来强化 Spring Cloud 的服务治理能力，升高 Spring Cloud 微服务架构落地服务网格的门槛，实现“自主可控”。

文档在 github[2] 上继续更新，欢送大家一起探讨：https://github.com/flomesh-io…。

Architect

搭建 Kubernetes 环境，能够抉择 kubeadm 进行集群搭建。也能够抉择 minikube、k3s、Kind 等，本文应用 k3s。

应用 k3d[3] 装置 k3s[4]。k3d 将在 Docker 容器中运行 k3s，因而须要保障曾经装置了 Docker。

$ k3d cluster create spring-demo -p "81:80@loadbalancer" --k3s-server-arg '--no-deploy=traefik'

从仓库 https://github.com/flomesh-io/flomesh-bookinfo-demo.git 克隆代码。进入到 flomesh-bookinfo-demo/kubernetes 目录。

所有 Flomesh 组件以及用于 demo 的 yamls 文件都位于这个目录中。

$ kubectl apply -f artifacts/cert-manager-v1.3.1.yaml
customresourcedefinition.apiextensions.k8s.io/certificaterequests.cert-manager.io created
customresourcedefinition.apiextensions.k8s.io/certificates.cert-manager.io created
customresourcedefinition.apiextensions.k8s.io/challenges.acme.cert-manager.io created
customresourcedefinition.apiextensions.k8s.io/clusterissuers.cert-manager.io created
customresourcedefinition.apiextensions.k8s.io/issuers.cert-manager.io created
customresourcedefinition.apiextensions.k8s.io/orders.acme.cert-manager.io created
namespace/cert-manager created
serviceaccount/cert-manager-cainjector created
serviceaccount/cert-manager created
serviceaccount/cert-manager-webhook created
clusterrole.rbac.authorization.k8s.io/cert-manager-cainjector created
clusterrole.rbac.authorization.k8s.io/cert-manager-controller-issuers created
clusterrole.rbac.authorization.k8s.io/cert-manager-controller-clusterissuers created
clusterrole.rbac.authorization.k8s.io/cert-manager-controller-certificates created
clusterrole.rbac.authorization.k8s.io/cert-manager-controller-orders created
clusterrole.rbac.authorization.k8s.io/cert-manager-controller-challenges created
clusterrole.rbac.authorization.k8s.io/cert-manager-controller-ingress-shim created
clusterrole.rbac.authorization.k8s.io/cert-manager-view created
clusterrole.rbac.authorization.k8s.io/cert-manager-edit created
clusterrole.rbac.authorization.k8s.io/cert-manager-controller-approve:cert-manager-io created
clusterrole.rbac.authorization.k8s.io/cert-manager-webhook:subjectaccessreviews created
clusterrolebinding.rbac.authorization.k8s.io/cert-manager-cainjector created
clusterrolebinding.rbac.authorization.k8s.io/cert-manager-controller-issuers created
clusterrolebinding.rbac.authorization.k8s.io/cert-manager-controller-clusterissuers created
clusterrolebinding.rbac.authorization.k8s.io/cert-manager-controller-certificates created
clusterrolebinding.rbac.authorization.k8s.io/cert-manager-controller-orders created
clusterrolebinding.rbac.authorization.k8s.io/cert-manager-controller-challenges created
clusterrolebinding.rbac.authorization.k8s.io/cert-manager-controller-ingress-shim created
clusterrolebinding.rbac.authorization.k8s.io/cert-manager-controller-approve:cert-manager-io created
clusterrolebinding.rbac.authorization.k8s.io/cert-manager-webhook:subjectaccessreviews created
role.rbac.authorization.k8s.io/cert-manager-cainjector:leaderelection created
role.rbac.authorization.k8s.io/cert-manager:leaderelection created
role.rbac.authorization.k8s.io/cert-manager-webhook:dynamic-serving created
rolebinding.rbac.authorization.k8s.io/cert-manager-cainjector:leaderelection created
rolebinding.rbac.authorization.k8s.io/cert-manager:leaderelection created
rolebinding.rbac.authorization.k8s.io/cert-manager-webhook:dynamic-serving created
service/cert-manager created
service/cert-manager-webhook created
deployment.apps/cert-manager-cainjector created
deployment.apps/cert-manager created
deployment.apps/cert-manager-webhook created
mutatingwebhookconfiguration.admissionregistration.k8s.io/cert-manager-webhook created
validatingwebhookconfiguration.admissionregistration.k8s.io/cert-manager-webhook created

留神: 要保障 cert-manager 命名空间中所有的 pod 都失常运行：

$ kubectl get pod -n cert-manager
NAME                                       READY   STATUS    RESTARTS   AGE
cert-manager-webhook-56fdcbb848-q7fn5      1/1     Running   0          98s
cert-manager-59f6c76f4b-z5lgf              1/1     Running   0          98s
cert-manager-cainjector-59f76f7fff-flrr7   1/1     Running   0          98s

$ kubectl apply -f artifacts/pipy-operator.yaml

执行完命令后会看到相似的后果：

namespace/flomesh created
customresourcedefinition.apiextensions.k8s.io/proxies.flomesh.io created
customresourcedefinition.apiextensions.k8s.io/proxyprofiles.flomesh.io created
serviceaccount/operator-manager created
role.rbac.authorization.k8s.io/leader-election-role created
clusterrole.rbac.authorization.k8s.io/manager-role created
clusterrole.rbac.authorization.k8s.io/metrics-reader created
clusterrole.rbac.authorization.k8s.io/proxy-role created
rolebinding.rbac.authorization.k8s.io/leader-election-rolebinding created
clusterrolebinding.rbac.authorization.k8s.io/manager-rolebinding created
clusterrolebinding.rbac.authorization.k8s.io/proxy-rolebinding created
configmap/manager-config created
service/operator-manager-metrics-service created
service/proxy-injector-svc created
service/webhook-service created
deployment.apps/operator-manager created
deployment.apps/proxy-injector created
certificate.cert-manager.io/serving-cert created
issuer.cert-manager.io/selfsigned-issuer created
mutatingwebhookconfiguration.admissionregistration.k8s.io/mutating-webhook-configuration created
mutatingwebhookconfiguration.admissionregistration.k8s.io/proxy-injector-webhook-cfg created
validatingwebhookconfiguration.admissionregistration.k8s.io/validating-webhook-configuration created

留神：要保障 flomesh 命名空间中所有的 pod 都失常运行：

$ kubectl get pod -n flomesh
NAME                               READY   STATUS    RESTARTS   AGE
proxy-injector-5bccc96595-spl6h    1/1     Running   0          39s
operator-manager-c78bf8d5f-wqgb4   1/1     Running   0          39s

$ kubectl apply -f ingress/ingress-pipy.yaml
namespace/ingress-pipy created
customresourcedefinition.apiextensions.k8s.io/ingressparameters.flomesh.io created
serviceaccount/ingress-pipy created
role.rbac.authorization.k8s.io/ingress-pipy-leader-election-role created
clusterrole.rbac.authorization.k8s.io/ingress-pipy-role created
rolebinding.rbac.authorization.k8s.io/ingress-pipy-leader-election-rolebinding created
clusterrolebinding.rbac.authorization.k8s.io/ingress-pipy-rolebinding created
configmap/ingress-config created
service/ingress-pipy-cfg created
service/ingress-pipy-controller created
service/ingress-pipy-defaultbackend created
service/webhook-service created
deployment.apps/ingress-pipy-cfg created
deployment.apps/ingress-pipy-controller created
deployment.apps/ingress-pipy-manager created
certificate.cert-manager.io/serving-cert created
issuer.cert-manager.io/selfsigned-issuer created
mutatingwebhookconfiguration.admissionregistration.k8s.io/mutating-webhook-configuration configured
validatingwebhookconfiguration.admissionregistration.k8s.io/validating-webhook-configuration configured

查看 ingress-pipy 命名空间下 pod 的状态：

$ kubectl get pod -n ingress-pipy
NAME                                       READY   STATUS    RESTARTS   AGE
svclb-ingress-pipy-controller-8pk8k        1/1     Running   0          71s
ingress-pipy-cfg-6bc649cfc7-8njk7          1/1     Running   0          71s
ingress-pipy-controller-76cd866d78-m7gfp   1/1     Running   0          71s
ingress-pipy-manager-5f568ff988-tw5w6      0/1     Running   0          70s

至此，你曾经胜利装置 Flomesh 的所有组件，包含 operator 和 ingress 控制器。

Demo 须要用到中间件实现日志和统计数据的存储，这里为了方便使用 pipy 进行 mock：间接在控制台中打印数据。

另外，服务治理相干的配置有 mock 的 pipy config 服务提供。

$ cat > middleware.js <<EOF
pipy()
.listen(8123)
    .link('mock')

.listen(9001)
    .link('mock')
.pipeline('mock')
    .decodeHttpRequest()
    .replaceMessage(
        req => (console.log(req.body.toString()),
            new Message('OK')
        )
    )
    .encodeHttpResponse()
EOF

$ docker run --rm --name middleware --entrypoint "pipy" -v ${PWD}:/script -p 8123:8123 -p 9001:9001 flomesh/pipy-pjs:0.4.0-118 /script/middleware.js

$ cat > mock-config.json <<EOF
{"ingress": {},
  "inbound": {
    "rateLimit": -1,
    "dataLimit": -1,
    "circuitBreak": false,
    "blacklist": []},
  "outbound": {
    "rateLimit": -1,
    "dataLimit": -1
  }
}
EOF

$ cat > mock.js <<EOF
pipy({
  _CONFIG_FILENAME: 'mock-config.json',

  _serveFile: (req, filename, type) => (
    new Message(
      {
        bodiless: req.head.method === 'HEAD',
        headers: {'etag': os.stat(filename)?.mtime | 0,
          'content-type': type,
        },
      },
      req.head.method === 'HEAD' ? null : os.readFile(filename),
    )
  ),

  _router: new algo.URLRouter({'/config': req => _serveFile(req, _CONFIG_FILENAME, 'application/json'),
    '/*': () => new Message({ status: 404}, 'Not found'),
  }),
})

// Config
.listen(9000)
  .decodeHttpRequest()
  .replaceMessage(
    req => (_router.find(req.head.path)(req)
    )
  )
  .encodeHttpResponse()
EOF

$ docker run --rm --name mock --entrypoint "pipy" -v ${PWD}:/script -p 9000:9000 flomesh/pipy-pjs:0.4.0-118 /script/mock.js

Demo 运行在另一个独立的命名空间 flomesh-spring 中，执行命令 kubectl apply -f base/namespace.yaml 来创立该命名空间。如果你 describe 该命名空间你会发现其应用了 flomesh.io/inject=true 标签。

这个标签告知 operator 的 admission webHook 拦挡标注的命名空间下 pod 的创立。

$ kubectl describe ns flomesh-spring
Name:         flomesh-spring
Labels:       app.kubernetes.io/name=spring-mesh
              app.kubernetes.io/version=1.19.0
              flomesh.io/inject=true
              kubernetes.io/metadata.name=flomesh-spring
Annotations:  <none>
Status:       Active

No resource quota.

No LimitRange resource.

咱们首先看下 Flomesh 提供的 CRD ProxyProfile。这个 demo 中，其定义了 sidecar 容器片段以及所应用的的脚本。查看 sidecar/proxy-profile.yaml 获取更多信息。执行上面的命令，创立 CRD 资源。

$ kubectl apply -f sidecar/proxy-profile.yaml

查看是否创立胜利：

$ kubectl get pf -o wide
NAME                         NAMESPACE        DISABLED   SELECTOR                                     CONFIG                                                                AGE
proxy-profile-002-bookinfo   flomesh-spring   false      {"matchLabels":{"sys":"bookinfo-samples"}}   {"flomesh-spring":"proxy-profile-002-bookinfo-fsmcm-b67a9e39-0418"}   27s

As the services has startup dependencies, you need to deploy it one by one following the strict order. Before starting, check the Endpoints section of base/clickhouse.yaml.

提供中间件的拜访 endpoid，将 base/clickhouse.yaml、base/metrics.yaml 和 base/config.yaml 中的 ip 地址改为本机的 ip 地址（不是 127.0.0.1）。

批改之后，执行如下命令：

$ kubectl apply -f base/clickhouse.yaml
$ kubectl apply -f base/metrics.yaml
$ kubectl apply -f base/config.yaml

$ kubectl get endpoints samples-clickhouse samples-metrics samples-config
NAME                 ENDPOINTS            AGE
samples-clickhouse   192.168.1.101:8123   3m
samples-metrics      192.168.1.101:9001   3s
samples-config       192.168.1.101:9000   3m

$ kubectl apply -f base/discovery-server.yaml

查看注册核心 pod 的状态，确保 3 个容器都运行失常。

$ kubectl get pod
NAME                                           READY   STATUS        RESTARTS   AGE
samples-discovery-server-v1-85798c47d4-dr72k   3/3     Running       0          96s

$ kubectl apply -f base/config-service.yaml

$ kubectl apply -f base/bookinfo-v1.yaml
$ kubectl apply -f base/bookinfo-v2.yaml
$ kubectl apply -f base/productpage-v1.yaml
$ kubectl apply -f base/productpage-v2.yaml

查看 pod 状态，能够看到所有 pod 都注入了容器。

$ kubectl get pods
samples-discovery-server-v1-85798c47d4-p6zpb       3/3     Running   0          19h
samples-config-service-v1-84888bfb5b-8bcw9         1/1     Running   0          19h
samples-api-gateway-v1-75bb6456d6-nt2nl            3/3     Running   0          6h43m
samples-bookinfo-ratings-v1-6d557dd894-cbrv7       3/3     Running   0          6h43m
samples-bookinfo-details-v1-756bb89448-dxk66       3/3     Running   0          6h43m
samples-bookinfo-reviews-v1-7778cdb45b-pbknp       3/3     Running   0          6h43m
samples-api-gateway-v2-7ddb5d7fd9-8jgms            3/3     Running   0          6h37m
samples-bookinfo-ratings-v2-845d95fb7-txcxs        3/3     Running   0          6h37m
samples-bookinfo-reviews-v2-79b4c67b77-ddkm2       3/3     Running   0          6h37m
samples-bookinfo-details-v2-7dfb4d7c-jfq4j         3/3     Running   0          6h37m
samples-bookinfo-productpage-v1-854675b56-8n2xd    1/1     Running   0          7m1s
samples-bookinfo-productpage-v2-669bd8d9c7-8wxsf   1/1     Running   0          6m57s

执行如下命令增加 Ingress 规定。

$ kubectl apply -f ingress/ingress.yaml

拜访 demo 服务都要通过 ingress 控制器。因而须要先获取 LB 的 ip 地址。

//Obtain the controller IP
//Here, we append port. 
ingressAddr=`kubectl get svc ingress-pipy-controller -n ingress-pipy -o jsonpath='{.spec.clusterIP}'`:81

这里咱们应用了是 k3d 创立的 k3s，命令中退出了 -p 81:80@loadbalancer 选项。咱们能够应用 127.0.0.1:81 来拜访 ingress 控制器。这里执行命令 ingressAddr=127.0.0.1:81。

Ingress 规定中，咱们为每个规定指定了 host，因而每个申请中须要通过 HTTP 申请头 Host 提供对应的 host。

或者在 /etc/hosts 增加记录：

$ kubectl get ing ingress-pipy-bookinfo -n flomesh-spring -o jsonpath="{range .spec.rules[*]}{.host}{'\n'}"
api-v1.flomesh.cn
api-v2.flomesh.cn
fe-v1.flomesh.cn
fe-v2.flomesh.cn

// 增加记录到 /etc/hosts
127.0.0.1 api-v1.flomesh.cn api-v2.flomesh.cn fe-v1.flomesh.cn fe-v2.flomesh.cn

$ curl http://127.0.0.1:81/actuator/health -H 'Host: api-v1.flomesh.cn'
{"status":"UP","groups":["liveness","readiness"]}
//OR
$ curl http://api-v1.flomesh.cn:81/actuator/health
{"status":"UP","groups":["liveness","readiness"]}

在 v1 版本的服务中，咱们为 book 增加 rating 和 review。

# rate a book
$ curl -X POST http://$ingressAddr/bookinfo-ratings/ratings \
    -H "Content-Type: application/json" \
    -H "Host: api-v1.flomesh.cn" \
    -d '{"reviewerId":"9bc908be-0717-4eab-bb51-ea14f669ef20","productId":"2099a055-1e21-46ef-825e-9e0de93554ea","rating":3}' 

$ curl http://$ingressAddr/bookinfo-ratings/ratings/2099a055-1e21-46ef-825e-9e0de93554ea -H "Host: api-v1.flomesh.cn"

# review a book
$ curl -X POST http://$ingressAddr/bookinfo-reviews/reviews \
    -H "Content-Type: application/json" \
    -H "Host: api-v1.flomesh.cn" \
    -d '{"reviewerId":"9bc908be-0717-4eab-bb51-ea14f669ef20","productId":"2099a055-1e21-46ef-825e-9e0de93554ea","review":"This was OK.","rating":3}'

$ curl http://$ingressAddr/bookinfo-reviews/reviews/2099a055-1e21-46ef-825e-9e0de93554ea -H "Host: api-v1.flomesh.cn"

执行下面的命令之后，咱们能够在浏览器中拜访前端服务（http://fe-v1.flomesh.cn:81/productpage?u=normal、http://fe-v2.flomesh.cn:81/productpage?u=normal），只有 v1 版本的前端中能力看到方才增加的记录。

这里熔断咱们通过批改 mock-config.json 中的 inbound.circuitBreak 为 true，来将服务强制开启熔断：

{"ingress": {},
  "inbound": {
    "rateLimit": -1,
    "dataLimit": -1,
    "circuitBreak": true, //here
    "blacklist": []},
  "outbound": {
    "rateLimit": -1,
    "dataLimit": -1

  }
}

$ curl http://$ingressAddr/actuator/health -H 'Host: api-v1.flomesh.cn'
HTTP/1.1 503 Service Unavailable
Connection: keep-alive
Content-Length: 27

Service Circuit Break Open

批改 pipy config 的配置，将 inbound.rateLimit 设置为 1。

{"ingress": {},
  "inbound": {
    "rateLimit": 1, //here
    "dataLimit": -1,
    "circuitBreak": false,
    "blacklist": []},
  "outbound": {
    "rateLimit": -1,
    "dataLimit": -1
  }
}

咱们应用 wrk 模仿发送申请，20 个连贯、20 个申请、继续 30s：

$ wrk -t20 -c20 -d30s --latency http://$ingressAddr/actuator/health -H 'Host: api-v1.flomesh.cn'
Running 30s test @ http://127.0.0.1:81/actuator/health
  20 threads and 20 connections
  Thread Stats   Avg      Stdev     Max   +/- Stdev
    Latency   951.51ms  206.23ms   1.04s    93.55%
    Req/Sec     0.61      1.71    10.00     93.55%
  Latency Distribution
     50%    1.00s
     75%    1.01s
     90%    1.02s
     99%    1.03s
  620 requests in 30.10s, 141.07KB read
Requests/sec:     20.60
Transfer/sec:      4.69KB

从后果来看 20.60 req/s，即每个连贯 1 req/s。

将 pipy config 的 mock-config.json 做如下批改：ip 地址应用的是 ingress controller 的 pod ip。

$ kgpo -n ingress-pipy ingress-pipy-controller-76cd866d78-4cqqn -o jsonpath='{.status.podIP}'
10.42.0.78

{"ingress": {},
  "inbound": {
    "rateLimit": -1,
    "dataLimit": -1,
    "circuitBreak": false,
    "blacklist": ["10.42.0.78"] //here
  },
  "outbound": {
    "rateLimit": -1,
    "dataLimit": -1

  }
}

还是拜访网关的接口

curl http://$ingressAddr/actuator/health -H 'Host: api-v1.flomesh.cn'
HTTP/1.1 503 Service Unavailable
content-type: text/plain
Connection: keep-alive
Content-Length: 20

Service Unavailable

[1] Flomesh: _https://flomesh.cn/_
[2] github: _https://github.com/flomesh-io…
[3] k3d: _https://k3d.io/_
[4] k3s: _https://github.com/k3s-io/k3s_

关于service-mesh:使用-Flomesh-强化-Spring-Cloud-服务治理

写在最前

架构

环境搭建

装置 Flomesh

装置 Cert Manager

装置 Pipy Operator

装置 Ingress 控制器：ingress-pipy

中间件

log & metrics

pipy config

运行 Demo

部署注册核心

部署配置核心

部署 API 网关以及 bookinfo 相干的服务

增加 Ingress 规定

测试前的筹备

验证

测试

灰度

熔断

限流

黑白名单

援用链接