add services plugin

examples/analytics/load-test.yaml

@@ -0,0 +1,44 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  labels:
+    k8s-app: load-test1
+    qcloud-app: load-test1
+  name: load-test1
+  namespace: default
+spec:
+  progressDeadlineSeconds: 600
+  replicas: 3
+  revisionHistoryLimit: 10
+  selector:
+    matchLabels:
+      k8s-app: load-test1
+      qcloud-app: load-test1
+  strategy:
+    rollingUpdate:
+      maxSurge: 1
+      maxUnavailable: 0
+    type: RollingUpdate
+  template:
+    metadata:
+      creationTimestamp: null
+      labels:
+        k8s-app: load-test1
+        qcloud-app: load-test1
+    spec:
+      affinity: {}
+      containers:
+        - command:
+            - /bin/bash
+            - -c
+            - sleep 36000
+          image: docker.io/gocrane/stress-ng:v0.12.09
+          imagePullPolicy: IfNotPresent
+          name: stress
+          resources:
+            limits:
+              cpu: "4"
+              memory: 4Gi
+            requests:
+              cpu: 250m
+              memory: 256Mi

examples/analytics/preinstall-rule.yaml

@@ -33,4 +33,22 @@ spec:
   namespaceSelector:
     any: true                                 # 扫描所有namespace
   recommenders:
-    - name: IdleNode
+    - name: IdleNode
+
+---
+
+apiVersion: analysis.crane.io/v1alpha1
+kind: RecommendationRule
+metadata:
+  name: services-rule
+  labels:
+    analysis.crane.io/recommendation-rule-preinstall: "true"
+spec:
+  runInterval: 24h                            # 每24h运行一次
+  resourceSelectors:                          # 资源的信息
+    - kind: Service
+      apiVersion: v1
+  namespaceSelector:
+    any: true                                 # 扫描所有namespace
+  recommenders:
+    - name: Service

examples/analytics/recommendation-configuration.yaml

@@ -23,3 +23,11 @@ recommenders:
         apiVersion: apps/v1
       - kind: StatefulSet
         apiVersion: apps/v1
+  - name: Volumes
+    acceptedResources:
+      - kind: PersistentVolume
+        apiVersion: v1
+  - name: Service
+    acceptedResources:
+      - kind: Service
+        apiVersion: v1

examples/analytics/test-rule.yaml

@@ -0,0 +1,16 @@
+apiVersion: analysis.crane.io/v1alpha1
+kind: RecommendationRule
+metadata:
+  name: test-rule
+spec:
+  runInterval: 5m                            # run every 2 minutes
+  resourceSelectors:                          # how to select resource to process
+    - kind: Deployment
+      apiVersion: apps/v1
+      name: coredns
+  namespaceSelector:
+    any: true                                 # scan all namespace
+  recommenders:                               # recommenders to run
+    - name: Resource
+      config:
+        cpu-request-percentile: "0.9"

examples/analytics/tomcat

@@ -0,0 +1,25 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: tomcatinfra
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: tomcatinfra
+  template:
+    metadata:
+      name: tomcatinfra
+      labels:
+        app: tomcatinfra
+    spec:
+      containers:
+      - image: saravak/tomcat8
+        name: tomcatapp
+        resources:
+          limits:
+            cpu: "100m"
+            memory: 1Mi
+          requests:
+            cpu: "100m"
+            memory: 1Mi

examples/autoscaling/effective-hpa-coder.yaml

@@ -0,0 +1,31 @@
+apiVersion: autoscaling.crane.io/v1alpha1
+kind: EffectiveHorizontalPodAutoscaler
+metadata:
+  name: recognizehealthcodeocr-gpu-youtu
+  namespace: ns-prjggssf-1565189-production
+spec:
+  # ScaleTargetRef is the reference to the workload that should be scaled.
+  scaleTargetRef:
+    apiVersion: platform.stke/v1alpha1
+    kind: StatefulSetPlus
+    name: recognizehealthcodeocr-gpu-youtu
+  minReplicas: 5        # MinReplicas is the lower limit replicas to the scale target which the autoscaler can scale down to.
+  maxReplicas: 50       # MaxReplicas is the upper limit replicas to the scale target which the autoscaler can scale up to.
+  scaleStrategy: Preview   # ScaleStrategy indicate the strategy to scaling target, value can be "Auto" and "Preview".
+  # Metrics contains the specifications for which to use to calculate the desired replica count.
+  metrics:
+  - type: Resource
+    resource:
+      name: cpu
+      target:
+        type: Utilization
+        averageUtilization: 30
+  # Prediction defines configurations for predict resources.
+  # If unspecified, defaults don't enable prediction.
+  prediction:
+    predictionWindowSeconds: 3600   # PredictionWindowSeconds is the time window to predict metrics in the future.
+    predictionAlgorithm:
+      algorithmType: dsp
+      dsp:
+        sampleInterval: "60s"
+        historyLength: "14d"