862 lines
22 KiB
Markdown
862 lines
22 KiB
Markdown
# Phase 3: Production Deployment (Weeks 9-12)
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This phase focuses on deploying the modernized application with proper production configurations, monitoring, backup strategies, and operational procedures.
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## Overview
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Phase 3 transforms the development-ready Kubernetes application into a production-grade system with comprehensive monitoring, automated backup and recovery, secure ingress, and operational excellence. This phase ensures the system is ready for enterprise-level workloads with proper security, performance, and reliability guarantees.
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## Key Objectives
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- **Production Kubernetes Deployment**: Configure scalable, secure deployment manifests
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- **Ingress and TLS Configuration**: Secure external access with proper routing
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- **Comprehensive Monitoring**: Application and infrastructure observability
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- **Backup and Disaster Recovery**: Automated backup strategies and recovery procedures
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- **Migration Execution**: Seamless transition from legacy system
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## 3.1 Kubernetes Deployment Configuration
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**Objective**: Create production-ready Kubernetes manifests with proper resource management and high availability.
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### Application Deployment Configuration
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```yaml
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: motovault-app
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namespace: motovault
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labels:
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app: motovault
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version: v1.0.0
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spec:
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replicas: 3
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strategy:
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type: RollingUpdate
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rollingUpdate:
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maxSurge: 1
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maxUnavailable: 0
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selector:
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matchLabels:
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app: motovault
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template:
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metadata:
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labels:
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app: motovault
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version: v1.0.0
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annotations:
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prometheus.io/scrape: "true"
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prometheus.io/path: "/metrics"
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prometheus.io/port: "8080"
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spec:
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serviceAccountName: motovault-service-account
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securityContext:
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runAsNonRoot: true
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runAsUser: 1000
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fsGroup: 2000
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affinity:
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podAntiAffinity:
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preferredDuringSchedulingIgnoredDuringExecution:
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- weight: 100
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podAffinityTerm:
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labelSelector:
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matchExpressions:
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- key: app
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operator: In
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values:
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- motovault
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topologyKey: kubernetes.io/hostname
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- weight: 50
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podAffinityTerm:
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labelSelector:
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matchExpressions:
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- key: app
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operator: In
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values:
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- motovault
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topologyKey: topology.kubernetes.io/zone
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containers:
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- name: motovault
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image: motovault:latest
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imagePullPolicy: Always
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ports:
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- containerPort: 8080
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name: http
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protocol: TCP
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env:
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- name: ASPNETCORE_ENVIRONMENT
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value: "Production"
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- name: ASPNETCORE_URLS
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value: "http://+:8080"
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envFrom:
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- configMapRef:
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name: motovault-config
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- secretRef:
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name: motovault-secrets
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resources:
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requests:
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memory: "512Mi"
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cpu: "250m"
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limits:
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memory: "1Gi"
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cpu: "500m"
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readinessProbe:
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httpGet:
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path: /health/ready
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port: 8080
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initialDelaySeconds: 10
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periodSeconds: 5
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timeoutSeconds: 3
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failureThreshold: 3
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livenessProbe:
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httpGet:
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path: /health/live
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port: 8080
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initialDelaySeconds: 30
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periodSeconds: 10
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timeoutSeconds: 5
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failureThreshold: 3
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securityContext:
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allowPrivilegeEscalation: false
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readOnlyRootFilesystem: true
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capabilities:
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drop:
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- ALL
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volumeMounts:
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- name: tmp-volume
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mountPath: /tmp
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- name: app-logs
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mountPath: /app/logs
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volumes:
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- name: tmp-volume
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emptyDir: {}
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- name: app-logs
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emptyDir: {}
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terminationGracePeriodSeconds: 30
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: motovault-service
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namespace: motovault
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labels:
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app: motovault
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spec:
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type: ClusterIP
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ports:
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- port: 80
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targetPort: 8080
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protocol: TCP
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name: http
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selector:
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app: motovault
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---
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apiVersion: policy/v1
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kind: PodDisruptionBudget
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metadata:
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name: motovault-pdb
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namespace: motovault
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spec:
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minAvailable: 2
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selector:
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matchLabels:
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app: motovault
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```
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### Horizontal Pod Autoscaler Configuration
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```yaml
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apiVersion: autoscaling/v2
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kind: HorizontalPodAutoscaler
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metadata:
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name: motovault-hpa
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namespace: motovault
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spec:
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scaleTargetRef:
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apiVersion: apps/v1
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kind: Deployment
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name: motovault-app
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minReplicas: 3
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maxReplicas: 10
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metrics:
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- type: Resource
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resource:
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name: cpu
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target:
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type: Utilization
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averageUtilization: 70
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- type: Resource
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resource:
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name: memory
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target:
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type: Utilization
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averageUtilization: 80
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behavior:
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scaleUp:
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stabilizationWindowSeconds: 300
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policies:
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- type: Percent
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value: 100
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periodSeconds: 15
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scaleDown:
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stabilizationWindowSeconds: 300
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policies:
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- type: Percent
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value: 10
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periodSeconds: 60
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```
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### Implementation Tasks
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#### 1. Create production namespace with security policies
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```yaml
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apiVersion: v1
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kind: Namespace
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metadata:
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name: motovault
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labels:
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pod-security.kubernetes.io/enforce: restricted
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pod-security.kubernetes.io/audit: restricted
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pod-security.kubernetes.io/warn: restricted
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```
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#### 2. Configure resource quotas and limits
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```yaml
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apiVersion: v1
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kind: ResourceQuota
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metadata:
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name: motovault-quota
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namespace: motovault
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spec:
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hard:
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requests.cpu: "4"
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requests.memory: 8Gi
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limits.cpu: "8"
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limits.memory: 16Gi
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persistentvolumeclaims: "10"
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pods: "20"
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```
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#### 3. Set up service accounts and RBAC
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```yaml
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apiVersion: v1
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kind: ServiceAccount
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metadata:
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name: motovault-service-account
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namespace: motovault
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---
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apiVersion: rbac.authorization.k8s.io/v1
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kind: Role
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metadata:
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name: motovault-role
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namespace: motovault
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rules:
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- apiGroups: [""]
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resources: ["configmaps", "secrets"]
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verbs: ["get", "list"]
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---
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apiVersion: rbac.authorization.k8s.io/v1
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kind: RoleBinding
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metadata:
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name: motovault-rolebinding
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namespace: motovault
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subjects:
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- kind: ServiceAccount
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name: motovault-service-account
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namespace: motovault
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roleRef:
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kind: Role
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name: motovault-role
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apiGroup: rbac.authorization.k8s.io
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```
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#### 4. Configure pod anti-affinity for high availability
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- Spread pods across nodes and availability zones
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- Ensure no single point of failure
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- Optimize for both performance and availability
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#### 5. Implement rolling update strategy with zero downtime
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- Configure progressive rollout with health checks
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- Automatic rollback on failure
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- Canary deployment capabilities
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## 3.2 Ingress and TLS Configuration
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**Objective**: Configure secure external access with proper TLS termination and routing.
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### Ingress Configuration
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```yaml
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apiVersion: networking.k8s.io/v1
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kind: Ingress
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metadata:
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name: motovault-ingress
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namespace: motovault
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annotations:
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nginx.ingress.kubernetes.io/ssl-redirect: "true"
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nginx.ingress.kubernetes.io/force-ssl-redirect: "true"
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nginx.ingress.kubernetes.io/proxy-body-size: "50m"
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nginx.ingress.kubernetes.io/proxy-read-timeout: "300"
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nginx.ingress.kubernetes.io/proxy-send-timeout: "300"
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cert-manager.io/cluster-issuer: "letsencrypt-prod"
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nginx.ingress.kubernetes.io/rate-limit: "100"
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nginx.ingress.kubernetes.io/rate-limit-window: "1m"
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spec:
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ingressClassName: nginx
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tls:
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- hosts:
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- motovault.example.com
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secretName: motovault-tls
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rules:
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- host: motovault.example.com
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http:
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paths:
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- path: /
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pathType: Prefix
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backend:
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service:
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name: motovault-service
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port:
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number: 80
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```
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### TLS Certificate Management
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```yaml
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apiVersion: cert-manager.io/v1
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kind: ClusterIssuer
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metadata:
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name: letsencrypt-prod
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spec:
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acme:
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server: https://acme-v02.api.letsencrypt.org/directory
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email: admin@motovault.example.com
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privateKeySecretRef:
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name: letsencrypt-prod
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solvers:
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- http01:
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ingress:
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class: nginx
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```
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### Implementation Tasks
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#### 1. Deploy cert-manager for automated TLS
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```bash
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kubectl apply -f https://github.com/cert-manager/cert-manager/releases/download/v1.13.0/cert-manager.yaml
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```
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#### 2. Configure Let's Encrypt for SSL certificates
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- Automated certificate provisioning and renewal
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- DNS-01 or HTTP-01 challenge configuration
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- Certificate monitoring and alerting
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#### 3. Set up WAF and DDoS protection
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```yaml
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apiVersion: networking.k8s.io/v1
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kind: NetworkPolicy
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metadata:
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name: motovault-ingress-policy
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namespace: motovault
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spec:
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podSelector:
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matchLabels:
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app: motovault
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policyTypes:
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- Ingress
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ingress:
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- from:
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- namespaceSelector:
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matchLabels:
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name: nginx-ingress
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ports:
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- protocol: TCP
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port: 8080
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```
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#### 4. Configure rate limiting and security headers
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- Request rate limiting per IP
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- Security headers (HSTS, CSP, etc.)
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- Request size limitations
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#### 5. Set up health check endpoints for load balancer
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- Configure ingress health checks
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- Implement graceful degradation
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- Monitor certificate expiration
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## 3.3 Monitoring and Observability Setup
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**Objective**: Implement comprehensive monitoring, logging, and alerting for production operations.
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### Prometheus ServiceMonitor Configuration
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```yaml
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apiVersion: monitoring.coreos.com/v1
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kind: ServiceMonitor
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metadata:
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name: motovault-metrics
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namespace: motovault
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labels:
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app: motovault
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spec:
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selector:
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matchLabels:
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app: motovault
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endpoints:
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- port: http
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path: /metrics
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interval: 30s
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scrapeTimeout: 10s
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```
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### Application Metrics Implementation
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```csharp
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public class MetricsService
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{
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private readonly Counter _httpRequestsTotal;
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private readonly Histogram _httpRequestDuration;
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private readonly Gauge _activeConnections;
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private readonly Counter _databaseOperationsTotal;
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private readonly Histogram _databaseOperationDuration;
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public MetricsService()
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{
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_httpRequestsTotal = Metrics.CreateCounter(
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"motovault_http_requests_total",
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"Total number of HTTP requests",
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new[] { "method", "endpoint", "status_code" });
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_httpRequestDuration = Metrics.CreateHistogram(
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"motovault_http_request_duration_seconds",
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"Duration of HTTP requests in seconds",
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new[] { "method", "endpoint" });
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_activeConnections = Metrics.CreateGauge(
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"motovault_active_connections",
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"Number of active database connections");
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_databaseOperationsTotal = Metrics.CreateCounter(
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"motovault_database_operations_total",
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"Total number of database operations",
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new[] { "operation", "table", "status" });
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_databaseOperationDuration = Metrics.CreateHistogram(
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"motovault_database_operation_duration_seconds",
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"Duration of database operations in seconds",
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new[] { "operation", "table" });
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}
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public void RecordHttpRequest(string method, string endpoint, int statusCode, double duration)
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{
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_httpRequestsTotal.WithLabels(method, endpoint, statusCode.ToString()).Inc();
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_httpRequestDuration.WithLabels(method, endpoint).Observe(duration);
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}
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public void RecordDatabaseOperation(string operation, string table, bool success, double duration)
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{
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var status = success ? "success" : "error";
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_databaseOperationsTotal.WithLabels(operation, table, status).Inc();
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_databaseOperationDuration.WithLabels(operation, table).Observe(duration);
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}
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}
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```
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### Grafana Dashboard Configuration
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```json
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{
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"dashboard": {
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"title": "MotoVaultPro Application Dashboard",
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"panels": [
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{
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"title": "HTTP Request Rate",
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"type": "graph",
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"targets": [
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{
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"expr": "rate(motovault_http_requests_total[5m])",
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"legendFormat": "{{method}} {{endpoint}}"
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}
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]
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},
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{
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"title": "Response Time Percentiles",
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"type": "graph",
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"targets": [
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{
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"expr": "histogram_quantile(0.50, rate(motovault_http_request_duration_seconds_bucket[5m]))",
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"legendFormat": "50th percentile"
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},
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{
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"expr": "histogram_quantile(0.95, rate(motovault_http_request_duration_seconds_bucket[5m]))",
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"legendFormat": "95th percentile"
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}
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]
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},
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{
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"title": "Database Connection Pool",
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"type": "singlestat",
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"targets": [
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{
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"expr": "motovault_active_connections",
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"legendFormat": "Active Connections"
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}
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]
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},
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{
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"title": "Error Rate",
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"type": "graph",
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"targets": [
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{
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"expr": "rate(motovault_http_requests_total{status_code=~\"5..\"}[5m])",
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"legendFormat": "5xx errors"
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}
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]
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}
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]
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}
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}
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```
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### Alert Manager Configuration
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```yaml
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groups:
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- name: motovault.rules
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rules:
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- alert: HighErrorRate
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expr: rate(motovault_http_requests_total{status_code=~"5.."}[5m]) > 0.1
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for: 2m
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labels:
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severity: critical
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annotations:
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summary: "High error rate detected"
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description: "Error rate is {{ $value }}% for the last 5 minutes"
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- alert: HighResponseTime
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expr: histogram_quantile(0.95, rate(motovault_http_request_duration_seconds_bucket[5m])) > 2
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "High response time detected"
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description: "95th percentile response time is {{ $value }}s"
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- alert: DatabaseConnectionPoolExhaustion
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expr: motovault_active_connections > 80
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for: 2m
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labels:
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severity: warning
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annotations:
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summary: "Database connection pool nearly exhausted"
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description: "Active connections: {{ $value }}/100"
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- alert: PodCrashLooping
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expr: rate(kube_pod_container_status_restarts_total{namespace="motovault"}[15m]) > 0
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for: 5m
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labels:
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severity: critical
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annotations:
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summary: "Pod is crash looping"
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description: "Pod {{ $labels.pod }} is restarting frequently"
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```
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### Implementation Tasks
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#### 1. Deploy Prometheus and Grafana stack
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```bash
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kubectl apply -f https://raw.githubusercontent.com/prometheus-operator/prometheus-operator/main/bundle.yaml
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```
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#### 2. Configure application metrics endpoints
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- Add Prometheus metrics middleware
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- Implement custom business metrics
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- Configure metric collection intervals
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#### 3. Set up centralized logging with structured logs
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```csharp
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builder.Services.AddLogging(loggingBuilder =>
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{
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loggingBuilder.AddJsonConsole(options =>
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{
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options.JsonWriterOptions = new JsonWriterOptions { Indented = false };
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options.IncludeScopes = true;
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options.TimestampFormat = "yyyy-MM-ddTHH:mm:ss.fffZ";
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});
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});
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```
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#### 4. Create operational dashboards and alerts
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- Application performance dashboards
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- Infrastructure monitoring dashboards
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- Business metrics and KPIs
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- Alert routing and escalation
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#### 5. Implement distributed tracing
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```csharp
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services.AddOpenTelemetry()
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.WithTracing(builder =>
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{
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builder
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.AddAspNetCoreInstrumentation()
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.AddNpgsql()
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.AddRedisInstrumentation()
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.AddJaegerExporter();
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});
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```
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## 3.4 Backup and Disaster Recovery
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|
|
|
**Objective**: Implement comprehensive backup strategies and disaster recovery procedures.
|
|
|
|
### Velero Backup Configuration
|
|
|
|
```yaml
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|
apiVersion: velero.io/v1
|
|
kind: Schedule
|
|
metadata:
|
|
name: motovault-daily-backup
|
|
namespace: velero
|
|
spec:
|
|
schedule: "0 2 * * *" # Daily at 2 AM
|
|
template:
|
|
includedNamespaces:
|
|
- motovault
|
|
includedResources:
|
|
- "*"
|
|
storageLocation: default
|
|
ttl: 720h0m0s # 30 days
|
|
snapshotVolumes: true
|
|
|
|
---
|
|
apiVersion: velero.io/v1
|
|
kind: Schedule
|
|
metadata:
|
|
name: motovault-weekly-backup
|
|
namespace: velero
|
|
spec:
|
|
schedule: "0 3 * * 0" # Weekly on Sunday at 3 AM
|
|
template:
|
|
includedNamespaces:
|
|
- motovault
|
|
includedResources:
|
|
- "*"
|
|
storageLocation: default
|
|
ttl: 2160h0m0s # 90 days
|
|
snapshotVolumes: true
|
|
```
|
|
|
|
### Database Backup Strategy
|
|
|
|
```bash
|
|
#!/bin/bash
|
|
# Automated database backup script
|
|
|
|
BACKUP_DATE=$(date +%Y%m%d_%H%M%S)
|
|
BACKUP_FILE="motovault_backup_${BACKUP_DATE}.sql"
|
|
S3_BUCKET="motovault-backups"
|
|
|
|
# Create database backup
|
|
kubectl exec -n motovault motovault-postgres-1 -- \
|
|
pg_dump -U postgres motovault > "${BACKUP_FILE}"
|
|
|
|
# Compress backup
|
|
gzip "${BACKUP_FILE}"
|
|
|
|
# Upload to S3/MinIO
|
|
aws s3 cp "${BACKUP_FILE}.gz" "s3://${S3_BUCKET}/database/"
|
|
|
|
# Clean up local file
|
|
rm "${BACKUP_FILE}.gz"
|
|
|
|
# Retain only last 30 days of backups
|
|
aws s3api list-objects-v2 \
|
|
--bucket "${S3_BUCKET}" \
|
|
--prefix "database/" \
|
|
--query 'Contents[?LastModified<=`'$(date -d "30 days ago" --iso-8601)'`].[Key]' \
|
|
--output text | \
|
|
xargs -I {} aws s3 rm "s3://${S3_BUCKET}/{}"
|
|
```
|
|
|
|
### Disaster Recovery Procedures
|
|
|
|
```bash
|
|
#!/bin/bash
|
|
# Full system recovery script
|
|
|
|
BACKUP_DATE=$1
|
|
if [ -z "$BACKUP_DATE" ]; then
|
|
echo "Usage: $0 <backup_date>"
|
|
echo "Example: $0 20240120_020000"
|
|
exit 1
|
|
fi
|
|
|
|
# Stop application
|
|
echo "Scaling down application..."
|
|
kubectl scale deployment motovault-app --replicas=0 -n motovault
|
|
|
|
# Restore database
|
|
echo "Restoring database from backup..."
|
|
aws s3 cp "s3://motovault-backups/database/database_backup_${BACKUP_DATE}.sql.gz" .
|
|
gunzip "database_backup_${BACKUP_DATE}.sql.gz"
|
|
kubectl exec -i motovault-postgres-1 -n motovault -- \
|
|
psql -U postgres -d motovault < "database_backup_${BACKUP_DATE}.sql"
|
|
|
|
# Restore MinIO data
|
|
echo "Restoring MinIO data..."
|
|
aws s3 sync "s3://motovault-backups/minio/${BACKUP_DATE}/" /tmp/minio_restore/
|
|
mc mirror /tmp/minio_restore/ motovault-minio/motovault-files/
|
|
|
|
# Restart application
|
|
echo "Scaling up application..."
|
|
kubectl scale deployment motovault-app --replicas=3 -n motovault
|
|
|
|
# Verify health
|
|
echo "Waiting for application to be ready..."
|
|
kubectl wait --for=condition=ready pod -l app=motovault -n motovault --timeout=300s
|
|
|
|
echo "Recovery completed successfully"
|
|
```
|
|
|
|
### Implementation Tasks
|
|
|
|
#### 1. Deploy Velero for Kubernetes backup
|
|
```bash
|
|
velero install \
|
|
--provider aws \
|
|
--plugins velero/velero-plugin-for-aws:v1.7.0 \
|
|
--bucket motovault-backups \
|
|
--backup-location-config region=us-west-2 \
|
|
--snapshot-location-config region=us-west-2
|
|
```
|
|
|
|
#### 2. Configure automated database backups
|
|
- Point-in-time recovery setup
|
|
- Incremental backup strategies
|
|
- Cross-region backup replication
|
|
|
|
#### 3. Implement MinIO backup synchronization
|
|
- Automated file backup to external storage
|
|
- Metadata backup and restoration
|
|
- Verification of backup integrity
|
|
|
|
#### 4. Create disaster recovery runbooks
|
|
- Step-by-step recovery procedures
|
|
- RTO/RPO definitions and testing
|
|
- Contact information and escalation procedures
|
|
|
|
#### 5. Set up backup monitoring and alerting
|
|
```yaml
|
|
apiVersion: monitoring.coreos.com/v1
|
|
kind: PrometheusRule
|
|
metadata:
|
|
name: backup-alerts
|
|
spec:
|
|
groups:
|
|
- name: backup.rules
|
|
rules:
|
|
- alert: BackupFailed
|
|
expr: velero_backup_failure_total > 0
|
|
labels:
|
|
severity: critical
|
|
annotations:
|
|
summary: "Backup operation failed"
|
|
description: "Velero backup has failed"
|
|
```
|
|
|
|
## Week-by-Week Breakdown
|
|
|
|
### Week 9: Production Kubernetes Configuration
|
|
- **Days 1-2**: Create production deployment manifests
|
|
- **Days 3-4**: Configure HPA, PDB, and resource quotas
|
|
- **Days 5-7**: Set up RBAC and security policies
|
|
|
|
### Week 10: Ingress and TLS Setup
|
|
- **Days 1-2**: Deploy and configure ingress controller
|
|
- **Days 3-4**: Set up cert-manager and TLS certificates
|
|
- **Days 5-7**: Configure security policies and rate limiting
|
|
|
|
### Week 11: Monitoring and Observability
|
|
- **Days 1-3**: Deploy Prometheus and Grafana stack
|
|
- **Days 4-5**: Configure application metrics and dashboards
|
|
- **Days 6-7**: Set up alerting and notification channels
|
|
|
|
### Week 12: Backup and Migration Preparation
|
|
- **Days 1-3**: Deploy and configure backup solutions
|
|
- **Days 4-5**: Create migration scripts and procedures
|
|
- **Days 6-7**: Execute migration dry runs and validation
|
|
|
|
## Success Criteria
|
|
|
|
- [ ] Production Kubernetes deployment with 99.9% availability
|
|
- [ ] Secure ingress with automated TLS certificate management
|
|
- [ ] Comprehensive monitoring with alerting
|
|
- [ ] Automated backup and recovery procedures tested
|
|
- [ ] Migration procedures validated and documented
|
|
- [ ] Security policies and network controls implemented
|
|
- [ ] Performance baselines established and monitored
|
|
|
|
## Testing Requirements
|
|
|
|
### Production Readiness Tests
|
|
- Load testing under expected traffic patterns
|
|
- Failover testing for all components
|
|
- Security penetration testing
|
|
- Backup and recovery validation
|
|
|
|
### Performance Tests
|
|
- Application response time under load
|
|
- Database performance with connection pooling
|
|
- Cache performance and hit ratios
|
|
- Network latency and throughput
|
|
|
|
### Security Tests
|
|
- Container image vulnerability scanning
|
|
- Network policy validation
|
|
- Authentication and authorization testing
|
|
- TLS configuration verification
|
|
|
|
## Deliverables
|
|
|
|
1. **Production Deployment**
|
|
- Complete Kubernetes manifests
|
|
- Security configurations
|
|
- Monitoring and alerting setup
|
|
- Backup and recovery procedures
|
|
|
|
2. **Documentation**
|
|
- Operational runbooks
|
|
- Security procedures
|
|
- Monitoring guides
|
|
- Disaster recovery plans
|
|
|
|
3. **Migration Tools**
|
|
- Data migration scripts
|
|
- Validation tools
|
|
- Rollback procedures
|
|
|
|
## Dependencies
|
|
|
|
- Production Kubernetes cluster
|
|
- External storage for backups
|
|
- DNS management for ingress
|
|
- Certificate authority for TLS
|
|
- Monitoring infrastructure
|
|
|
|
## Risks and Mitigations
|
|
|
|
### Risk: Extended Downtime During Migration
|
|
**Mitigation**: Blue-green deployment strategy with comprehensive rollback plan
|
|
|
|
### Risk: Data Integrity Issues
|
|
**Mitigation**: Extensive validation and parallel running during transition
|
|
|
|
### Risk: Performance Degradation
|
|
**Mitigation**: Load testing and gradual traffic migration
|
|
|
|
---
|
|
|
|
**Previous Phase**: [Phase 2: High Availability Infrastructure](K8S-PHASE-2.md)
|
|
**Next Phase**: [Phase 4: Advanced Features and Optimization](K8S-PHASE-4.md) |