add faas

SUMMARY.md

@@ -148,6 +148,8 @@
   - [运行支持kubernetes原生调度的Spark程序](usecases/running-spark-with-kubernetes-native-scheduler.md)
 - [Serverless架构](usecases/serverless.md)
   - [理解Serverless](usecases/understanding-serverless.md)
+  - [FaaS-函数即服务](usecases/faas.md)
+    - [OpenFaaS](usecases/openfaas.md)
 - [边缘计算](usecases/edge-computing.md)
 
 ### 开发指南

manifests/openfaas/faas.yml

@@ -0,0 +1,86 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: faas-netesd
+  labels:
+    app: faas-netesd
+spec:
+  type: NodePort
+  ports:
+    - port: 8080
+      protocol: TCP
+      targetPort: 8080
+      nodePort: 31111
+  selector:
+    app: faas-netesd
+---
+apiVersion: v1
+kind: ServiceAccount
+metadata:
+  name: faas-controller
+---
+apiVersion: apps/v1beta1 # for versions before 1.6.0 use extensions/v1beta1
+kind: Deployment
+metadata:
+  name: faas-netesd
+spec:
+  replicas: 1
+  template:
+    metadata:
+      labels:
+        app: faas-netesd
+    spec:
+      serviceAccountName: faas-controller
+      containers:
+      - name: faas-netesd
+        image: sz-pg-oam-docker-hub-001.tendcloud.com/library/faas-netesd:0.3.4
+        ports:
+        - containerPort: 8080
+          protocol: TCP
+        resources:
+          requests:
+            memory: 20Mi
+          limits:
+            memory: 30Mi 
+---
+apiVersion: v1
+kind: Service
+metadata:
+  name: gateway
+  labels:
+    app: gateway
+spec:
+  type: NodePort
+  ports:
+    - port: 8080
+      protocol: TCP
+      targetPort: 8080
+      nodePort: 31112
+  selector:
+    app: gateway
+---
+apiVersion: apps/v1beta1 # for versions before 1.6.0 use extensions/v1beta1
+kind: Deployment
+metadata:
+  name: gateway
+spec:
+  replicas: 1
+  template:
+    metadata:
+      labels:
+        app: gateway
+    spec:
+      containers:
+      - name: gateway
+        image: sz-pg-oam-docker-hub-001.tendcloud.com/library/gateway:0.6.14
+        env:
+        - name: functions_provider_url
+          value: "http://faas-netesd.default.svc.cluster.local:8080/"
+        ports:
+        - containerPort: 8080
+          protocol: TCP
+        resources:
+          requests:
+            memory: 20Mi
+          limits:
+            memory: 30Mi

manifests/openfaas/monitoring.yml

@@ -0,0 +1,80 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: prometheus
+  labels:
+    app: prometheus
+spec:
+  type: NodePort
+  ports:
+    - port: 9090
+      protocol: TCP
+      targetPort: 9090
+      nodePort: 31119
+  selector:
+    app: prometheus
+---
+apiVersion: apps/v1beta1 # for versions before 1.6.0 use extensions/v1beta1
+kind: Deployment
+metadata:
+  name: prometheus
+spec:
+  replicas: 1
+  template:
+    metadata:
+      labels:
+        app: prometheus
+    spec:
+      containers:
+      - name: prometheus
+        image: sz-pg-oam-docker-hub-001.tendcloud.com/library/prometheus:latest-k8s
+        command: ["prometheus","-config.file=/etc/prometheus/prometheus.yml", "-storage.local.path=/prometheus", "-storage.local.memory-chunks=10000", "--alertmanager.url=http://alertmanager.default:9093"]
+        ports:
+        - containerPort: 9090
+          protocol: TCP
+        resources:
+          requests:
+            memory: 512Mi
+          limits:
+            memory: 512Mi
+
+---
+apiVersion: v1
+kind: Service
+metadata:
+  name: alertmanager
+  labels:
+    app: alertmanager
+spec:
+  type: NodePort
+  ports:
+    - port: 9093
+      protocol: TCP
+      targetPort: 9093
+      nodePort: 31113
+  selector:
+    app: alertmanager
+---
+apiVersion: apps/v1beta1 # for versions before 1.6.0 use extensions/v1beta1
+kind: Deployment
+metadata:
+  name: alertmanager
+spec:
+  replicas: 1
+  template:
+    metadata:
+      labels:
+        app: alertmanager
+    spec:
+      containers:
+      - name: alertmanager
+        image: sz-pg-oam-docker-hub-001.tendcloud.com/library/alertmanager:latest-k8s
+        command: ["/bin/alertmanager","-config.file=/alertmanager.yml", "-storage.path=/alertmanager"]
+        ports:
+        - containerPort: 9003
+          protocol: TCP
+        resources:
+          requests:
+            memory: 20Mi
+          limits:
+            memory: 30Mi

manifests/openfaas/rbac.yml

@@ -0,0 +1,48 @@
+apiVersion: rbac.authorization.k8s.io/v1beta1
+kind: ClusterRole
+metadata:
+  name: faas-controller
+rules:
+- apiGroups:
+  - ""
+  resources:
+  - services
+  verbs:
+  - get
+  - list
+  - watch
+  - create
+  - delete
+  - update
+- apiGroups:
+  - ""
+  resources:
+  - secrets
+  verbs:
+  - get
+  - list
+  - watch
+- apiGroups:
+  - extensions
+  resources:
+  - deployments
+  verbs:
+  - get
+  - list
+  - watch
+  - create
+  - delete
+  - update
+---
+apiVersion: rbac.authorization.k8s.io/v1beta1
+kind: ClusterRoleBinding
+metadata:
+  name: faas-controller
+roleRef:
+  apiGroup: rbac.authorization.k8s.io
+  kind: ClusterRole
+  name: faas-controller
+subjects:
+- kind: ServiceAccount
+  name: faas-controller
+  namespace: default

usecases/faas.md

@@ -0,0 +1,18 @@
+# FaaS-函数即服务
+
+FaaS（Functions as a Service）函数即服务，FaaS是无服务器计算的一种形式，当前使用最广泛的是AWS的Lambada。
+
+现在当大家讨论Serverless的时候首先想到的就是FaaS，有点甚嚣尘上了。FaaS本质上是一种事件驱动的由消息触发的服务，FaaS供应商一般会集成各种同步和异步的事件源，通过订阅这些事件源，可以突发或者定期的触发函数运行。
+
+当前开源的FaaS框架大部分都是基于Kuberentes来实现的，例如：
+
+- [faas-netes](https://github.com/alexellis/faas-netes) - Enable Kubernetes as a backend for Functions as a Service (OpenFaaS) <https://github.com/alexellis/faas>
+- [fn](https://github.com/fnproject/fn) - The container native, cloud agnostic serverless platform. [http://fnproject.io](http://fnproject.io/)
+- [funktion](https://github.com/funktionio/funktion/) - a CLI tool for working with funktion <https://funktion.fabric8.io/>
+- [fx](https://github.com/metrue/fx) - Poor man's serverless framework based on Docker, Function as a Service with painless.
+- [IronFunctions](https://github.com/iron-io/functions) - IronFunctions - the serverless microservices platform. [http://iron.io](http://iron.io/)
+- [kubeless](https://github.com/kubeless/kubeless) - Kubernetes Native Serverless Framework [http://kubeless.io](http://kubeless.io/)
+- [OpenFaaS](https://github.com/openfaas/faas) - OpenFaaS - Serverless Functions Made Simple for Docker & Kubernetes [https://blog.alexellis.io/introducing-functions-as-a-service/](https://blog.alexellis.io/introducing-functions-as-a-service/) 
+- [OpenWhisk](http://openwhisk.incubator.apache.org/) - Apache OpenWhisk (Incubating) is a [serverless](http://openwhisk.incubator.apache.org/serverless), open source cloud platform that executes functions in response to events at any scale.
+
+关于整个Cloud Native开源生态，请参考[awesome-cloud-native](https://jimmysong.io/awesome-cloud-native)。

usecases/openfaas.md

@@ -0,0 +1,56 @@
+# OpenFaaS
+
+OpenFaaS一款高人气的开源的faas框架，可以在
+
+在Kubernetes上部署OpenFaaS十分简单，用到的镜像如下：
+
+- functions/faas-netesd:0.3.4
+- functions/gateway:0.6.14
+- functions/prometheus:latest-k8s
+- functions/alertmanager:latest-k8s
+
+这些镜像都存储在DockerHub上。
+
+OpenFaaS的架构如下图：
+
+![OpenFaaS架构](../images/openfaas-arch.jpg)
+
+## 部署
+
+参考[Deployment guide for Kubernetes](https://github.com/openfaas/faas/blob/master/guide/deployment_k8s.md)部署OpenFaaS。
+
+如果您的Kuberentes集群可以访问DockerHub那么直接使用官方提供的YAML文件即可。
+
+YAML文件见官方仓库：https://github.com/openfaas/faas-netes
+
+### 部署同步请求
+
+一共用到了三个YAML文件：
+
+- faas.yml
+- monitoring.yml
+- rbac.yml
+
+OpenFaaS安装好后会启动一个Prometheus。
+
+![OpenFaaS Prometheus](../images/openfaas-prometheus.jpg)
+
+在这里可以看到函数的运行情况。
+
+同时OpenFaaS还提供了Dashboard，需要我们自己向Grafana中配置Prometheus数据源后导入，JSON配置见：https://grafana.com/dashboards/3526，可以下载后直接导入到Grafana中。
+
+![OpenFaas Grafana监控](../images/openfaas-grafana.jpg)
+
+## OpenFaaS的使用
+
+OpenFaaS提供了便捷的UI，在部署完成后就可以通过NodePort方式访问。
+
+![OpenFaas Dashboard](../images/openfaas-deploy-a-function.jpg)
+
+其中已经内置了一些函数应用可供我们试用，还可以创建自己的函数。
+
+比如内置的`NodeInfo`应用，可以获取该应用所部署到的主机的信息，如下图：
+
+![NodeInfo执行结果](../images/openfaas-nodeinfo.jpg)
+
+**注意：**有一些js和css文件需要翻墙才能访问，否则页面将出现格式错误。

usecases/understanding-serverless.md

@@ -44,7 +44,7 @@ BaaS（Backend as a Service）后端即服务，一般是一个个的API调用
 
 ### FaaS
 
-FaaS（Functions as a Service）函数即服务，FaaS是无服务器计算的额一种形式，当前使用最广泛的是AWS的Lambada。
+FaaS（Functions as a Service）函数即服务，FaaS是无服务器计算的一种形式，当前使用最广泛的是AWS的Lambada。
 
 现在当大家讨论Serverless的时候首先想到的就是FaaS，有点甚嚣尘上了。FaaS本质上是一种事件驱动的由消息触发的服务，FaaS供应商一般会集成各种同步和异步的事件源，通过订阅这些事件源，可以突发或者定期的触发函数运行。