#196 #197 adding canary deployment file and editing the data analysis…

… service

deploymentFiles/dataanalysisCanary.yaml

@@ -0,0 +1,48 @@
+apiVersion: flagger.app/v1beta1
+kind: Canary
+metadata:
+  name: data-analysis
+  namespace: default
+spec:
+  provider: istio
+  targetRef:
+    apiVersion: apps/v1
+    kind: Deployment
+    name: data-analysis
+  progressDeadlineSeconds: 60
+  autoscalerRef:
+    apiVersion: autoscaling/v2beta1
+    kind: HorizontalPodAutoscaler
+    name: data-analysis
+  service:
+    name: data-analysis
+    port: 3004
+    targetPort: 3004
+    # portName: http
+    portDiscovery: true
+    timeout: 5s
+    # gateways:
+    # - orenda-gateway
+    # hosts:
+    # - '*'
+  skipAnalysis: false
+  analysis:
+    interval: 10s
+    threshold: 10
+    maxWeight: 50
+    stepWeight: 5
+    # metrics:
+    # - name: request-success-rate
+    #   thresholdRange:
+    #     min: 99
+    #   interval: 1m
+    # - name: latency
+    #   templateRef:
+    #       name: latency
+    #       namespace: istio-system
+    #   thresholdRange:
+    #       max: 500
+    #   interval: 1m
+
+
+

deploymentFiles/deployment.yaml

@@ -0,0 +1,37 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: data-analysis
+  labels:
+    app: data-analysis
+spec:
+  minReadySeconds: 5
+  revisionHistoryLimit: 5
+  progressDeadlineSeconds: 60
+  strategy:
+    rollingUpdate:
+      maxUnavailable: 1
+    type: RollingUpdate
+  selector:
+    matchLabels:
+      app: data-analysis
+  template:
+    metadata:
+      labels:
+        app: data-analysis
+    spec:
+      containers:
+      - name: data-analysis
+        image: orenda15/data_analysis:242b58a0b0ffc5ab53f076b9a8206c88b1c4120e
+        imagePullPolicy: IfNotPresent
+        ports:
+        - name: http
+          containerPort: 3004
+          protocol: TCP
+        resources:
+          limits:
+            cpu: 2000m
+            memory: 512Mi
+          requests:
+            cpu: 100m
+            memory: 64Mi

deploymentFiles/hpa.yaml

@@ -0,0 +1,18 @@
+apiVersion: autoscaling/v2beta1
+kind: HorizontalPodAutoscaler
+metadata:
+  name: data-analysis
+spec:
+  scaleTargetRef:
+    apiVersion: apps/v1
+    kind: Deployment
+    name: data-analysis
+  minReplicas: 2
+  maxReplicas: 4
+  metrics:
+  - type: Resource
+    resource:
+      name: cpu
+      # scale up if usage is above
+      # 99% of the requested CPU (100m)
+      targetAverageUtilization: 99