add aggregated api servers

pull/83/head
Jimmy Song 2017-11-27 19:33:18 +08:00
parent f13804ad0f
commit ba130827ff
7 changed files with 460 additions and 0 deletions

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- [ConfigMap](concepts/configmap.md) - [ConfigMap](concepts/configmap.md)
- [ConfigMap的热更新](concepts/configmap-hot-update.md) - [ConfigMap的热更新](concepts/configmap-hot-update.md)
- [Horizontal Pod Autoscaling](concepts/horizontal-pod-autoscaling.md) - [Horizontal Pod Autoscaling](concepts/horizontal-pod-autoscaling.md)
- [自定义指标HPA](concepts/custom-metrics-hpa.md)
- [Label](concepts/label.md) - [Label](concepts/label.md)
- [垃圾收集](concepts/garbage-collection.md) - [垃圾收集](concepts/garbage-collection.md)
- [NetworkPolicy](concepts/network-policy.md) - [NetworkPolicy](concepts/network-policy.md)
- [Annotation](concepts/annotation.md) - [Annotation](concepts/annotation.md)
- [Aggregated API Server](concepts/aggregated-api-server.md)
### 用户指南 ### 用户指南

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## Aggregated API Servers
Aggregated聚合的API server是为了将原来的API server这个巨石monolithic应用给拆分成为了方便用户开发自己的API server集成进来而不用直接修改kubernetes官方仓库的代码这样一来也能将API server解耦方便用户使用实验特性。这些API server可以跟core API server无缝衔接试用kubectl也可以管理它们。
### 架构
我们需要创建一个新的组件,名为`kube-aggregator`,它需要负责以下几件事:
- 提供用于注册API server的API
- 汇总所有的API server信息
- 代理所有的客户端到API server的请求
**注意**这里说的API server是一组“API Server”而不是说我们安装集群时候的那个API server而且这组API server是可以横向扩展的。
关于聚合的API server的更多信息请参考[Aggregated API Server](https://github.com/kubernetes/community/blob/master/contributors/design-proposals/api-machinery/aggregated-api-servers.md)
### 安装配置聚合的API server
**编译**
下载kubernetes的源码到`$GOPATH/src/k8s.io/`目录,在`$GOPATH/src/k8s.io/kubernetes/staging/src/k8s.io/kube-aggregator`目录下编译生成Linux add64的二进制文件
```bash
GOOS=linux GOARCH=amd64 go build
```
将在当前目录下生成`kube-aggregator`二进制文件。
**配置**
将该二进制文件上传到kubernetes的node节点上。
TBD

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# 自定义指标HPA
Kubernetes中支持不仅支持CPU、内存为指标的HPA还支持自定义指标的HPA例如QPS。
## 设置自定义指标
**kubernetes1.6**
在设置定义指标HPA之前需要先进行如下配置
- 将heapster的启动参数 `--api-server` 设置为 true
- 启用custom metric API
- 将kube-controller-manager的启动参数中`--horizontal-pod-autoscaler-use-rest-clients`设置为true并指定`--master`为API server地址如`--master=http://172.20.0.113:8080`
在kubernetes1.5以前很容易设置,参考[1.6以前版本的kubernetes中开启自定义HPA](https://medium.com/@marko.luksa/kubernetes-autoscaling-based-on-custom-metrics-without-using-a-host-port-b783ed6241ac)而在1.6中因为取消了原来的annotation方式设置custom metric只能通过API server和kube-aggregator来获取custom metric因为只有两种方式来设置了一是直接通过API server获取heapster的metrics二是部署[kube-aggragator](https://github.com/kubernetes/kube-aggregator)来实现。
我们将安装聚合的API server来实现自定义指标的HPA。
**kuberentes1.7**
已经内置了`apiregistration.k8s.io/v1beta1` API可以直接定义APIService
```yaml
apiVersion: apiregistration.k8s.io/v1beta1
kind: APIService
metadata:
name: v1alpha1.custom-metrics.metrics.k8s.io
spec:
insecureSkipTLSVerify: true
group: custom-metrics.metrics.k8s.io
groupPriorityMinimum: 1000
versionPriority: 5
service:
name: api
namespace: custom-metrics
version: v1alpha1
```
## 参考
[1.6以前版本的kubernetes中开启自定义HPA](https://medium.com/@marko.luksa/kubernetes-autoscaling-based-on-custom-metrics-without-using-a-host-port-b783ed6241ac)
[1.7版本的kubernetes中启用自定义HPA](https://docs.bitnami.com/kubernetes/how-to/configure-autoscaling-custom-metrics/)

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kind: Namespace
apiVersion: v1
metadata:
name: custom-metrics
---
kind: ServiceAccount
apiVersion: v1
metadata:
name: custom-metrics-apiserver
namespace: custom-metrics
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
name: custom-metrics:system:auth-delegator
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: system:auth-delegator
subjects:
- kind: ServiceAccount
name: custom-metrics-apiserver
namespace: custom-metrics
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: RoleBinding
metadata:
name: custom-metrics-auth-reader
namespace: kube-system
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: extension-apiserver-authentication-reader
subjects:
- kind: ServiceAccount
name: custom-metrics-apiserver
namespace: custom-metrics
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
name: custom-metrics-read
rules:
- apiGroups:
- ""
resources:
- namespaces
- pods
- services
verbs:
- get
- list
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
name: custom-metrics-read
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: custom-metrics-read
subjects:
- kind: ServiceAccount
name: custom-metrics-apiserver
namespace: custom-metrics
---
apiVersion: apps/v1beta1
kind: Deployment
metadata:
name: custom-metrics-apiserver
namespace: custom-metrics
labels:
app: custom-metrics-apiserver
spec:
replicas: 1
template:
metadata:
name: custom-metrics-apiserver
labels:
app: custom-metrics-apiserver
spec:
serviceAccountName: custom-metrics-apiserver
containers:
- name: custom-metrics-server
image: sz-pg-oam-docker-hub-001.tendcloud.com/library/k8s-prometheus-adapter
args:
- --prometheus-url=http://sample-metrics-prom.default.svc:9090
- --metrics-relist-interval=30s
- --rate-interval=60s
- --v=10
- --logtostderr=true
ports:
- containerPort: 443
securityContext:
runAsUser: 0
---
apiVersion: v1
kind: Service
metadata:
name: api
namespace: custom-metrics
spec:
ports:
- port: 443
targetPort: 443
selector:
app: custom-metrics-apiserver
---
apiVersion: apiregistration.k8s.io/v1beta1
kind: APIService
metadata:
name: v1alpha1.custom-metrics.metrics.k8s.io
spec:
insecureSkipTLSVerify: true
group: custom-metrics.metrics.k8s.io
groupPriorityMinimum: 1000
versionPriority: 5
service:
name: api
namespace: custom-metrics
version: v1alpha1
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
name: custom-metrics-server-resources
rules:
- apiGroups:
- custom-metrics.metrics.k8s.io
resources: ["*"]
verbs: ["*"]
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
name: hpa-controller-custom-metrics
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: custom-metrics-server-resources
subjects:
- kind: ServiceAccount
name: horizontal-pod-autoscaler
namespace: kube-system

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apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
name: prometheus-operator
rules:
- apiGroups:
- extensions
resources:
- thirdpartyresources
verbs:
- create
- apiGroups:
- monitoring.coreos.com
resources:
- alertmanagers
- prometheuses
- servicemonitors
verbs:
- "*"
- apiGroups:
- apps
resources:
- statefulsets
verbs: ["*"]
- apiGroups: [""]
resources:
- configmaps
- secrets
verbs: ["*"]
- apiGroups: [""]
resources:
- pods
verbs: ["list", "delete"]
- apiGroups: [""]
resources:
- services
- endpoints
verbs: ["get", "create", "update"]
- apiGroups: [""]
resources:
- nodes
verbs: ["list", "watch"]
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: prometheus-operator
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
name: prometheus-operator
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: prometheus-operator
subjects:
- kind: ServiceAccount
name: prometheus-operator
namespace: default
---
apiVersion: apps/v1beta1
kind: Deployment
metadata:
name: prometheus-operator
labels:
operator: prometheus
spec:
replicas: 1
template:
metadata:
labels:
operator: prometheus
spec:
serviceAccountName: prometheus-operator
containers:
- name: prometheus-operator
image: sz-pg-oam-docker-hub-001.tendcloud.com/library/prometheus-operator:v0.10.1
resources:
requests:
cpu: 100m
memory: 50Mi
limits:
cpu: 200m
memory: 100Mi

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apiVersion: apps/v1beta1
kind: Deployment
metadata:
labels:
app: sample-metrics-app
name: sample-metrics-app
spec:
replicas: 2
template:
metadata:
labels:
app: sample-metrics-app
spec:
containers:
- image: sz-pg-oam-docker-hub-001.tendcloud.com/library/autoscale-demo:v0.1.2
name: sample-metrics-app
ports:
- name: web
containerPort: 8080
readinessProbe:
httpGet:
path: /
port: 8080
initialDelaySeconds: 3
periodSeconds: 5
livenessProbe:
httpGet:
path: /
port: 8080
initialDelaySeconds: 3
periodSeconds: 5
---
apiVersion: v1
kind: Service
metadata:
name: sample-metrics-app
labels:
app: sample-metrics-app
spec:
ports:
- name: web
port: 80
targetPort: 8080
selector:
app: sample-metrics-app
---
apiVersion: monitoring.coreos.com/v1alpha1
kind: ServiceMonitor
metadata:
name: sample-metrics-app
labels:
service-monitor: function
spec:
selector:
matchLabels:
app: sample-metrics-app
endpoints:
- port: web
---
kind: HorizontalPodAutoscaler
apiVersion: autoscaling/v2alpha1
metadata:
name: sample-metrics-app-hpa
spec:
scaleTargetRef:
kind: Deployment
name: sample-metrics-app
minReplicas: 2
maxReplicas: 10
metrics:
- type: Object
object:
target:
kind: Service
name: sample-metrics-app
metricName: http_requests
targetValue: 100

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apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
name: prometheus
rules:
- apiGroups:
- ""
resources:
- nodes
- services
- endpoints
- pods
verbs:
- get
- list
- watch
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: prometheus
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
name: prometheus
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: prometheus
subjects:
- kind: ServiceAccount
name: prometheus
namespace: default
---
apiVersion: monitoring.coreos.com/v1alpha1
kind: Prometheus
metadata:
name: sample-metrics-prom
labels:
app: sample-metrics-prom
prometheus: sample-metrics-prom
spec:
replicas: 1
baseImage: prom/prometheus
version: v1.7.1
serviceAccountName: prometheus
serviceMonitorSelector:
matchLabels:
service-monitor: function
resources:
requests:
memory: 300Mi
#storage:
# resources:
# requests:
# storage: 3Gi
---
apiVersion: v1
kind: Service
metadata:
name: sample-metrics-prom
labels:
app: sample-metrics-prom
prometheus: sample-metrics-prom
spec:
type: NodePort
ports:
- name: web
nodePort: 30999
port: 9090
targetPort: web
selector:
prometheus: sample-metrics-prom