Terraform Template using no code platforms

 

Crafting a Terraform Template for a 7-Microservice Retail App

Infrastructure:

1. Cloud Provider: This could be AWS, GCP, Azure, or others.
2. Kubernetes Cluster: The orchestration layer for your microservices.
3. Network Infrastructure: VPCs, subnets, security groups, load balancers, etc.
4. Microservices: The individual services that make up your e-commerce application.
5. Configuration Management: Tools like Helm or Kustomize to manage Kubernetes resources.

Provider Configuration:

• Provider: Specify the cloud provider (e.g., AWS, GCP, Azure).
• Region: Define the specific region for your infrastructure.
• Credentials: Configure authentication credentials (e.g., access key and secret key for AWS).

Network Infrastructure:

• VPC: Create a Virtual Private Cloud to isolate your resources.
• Subnets: Define public and private subnets for different types of resources.
• Security Groups: Implement network security rules to control inbound and outbound traffic.
• Internet Gateway: Enable internet access for public-facing resources.
• Route Tables: Configure routing rules for network traffic.

Kubernetes Cluster:

• Cluster Creation: Use the appropriate provider module to create a Kubernetes cluster (e.g., aws_eks_cluster for AWS).
• Node Groups: Define worker node groups with desired configurations.
• Cluster Configuration: Specify cluster settings like version, control plane size, and add-ons.
• IAM Roles: Assign IAM roles to the cluster and node groups for necessary permissions.

Microservices Deployment:

• Helm Charts: Utilize Helm charts to package and deploy microservices.
• Chart Repositories: Configure repositories for accessing Helm charts.
• Chart Values: Customize chart values to match your specific requirements.
• Namespace: Define namespaces to organize microservices.
• Resource Limits and Requests: Set resource constraints for each microservice.

1. Provider Configuration:

Terraform

terraform {
  required_providers {
    aws = {
      source  = "hashicorp/aws"
      version = "~> 4.0"
    }
  }
}

provider "aws" {
  region = "us-east-1"
}

2.2. Network Infrastructure:

Terraform

resource "aws_vpc" "main" {
  cidr_block = "10.0.0.0/16"
}

# ... other resources like subnets, security groups, internet gateway, ro

3.3. Kubernetes Cluster (EKS):

Terraform

resource "aws_eks_cluster" "main" {
  name     = "my-eks-cluster"
  role_arn = aws_iam_role.eks_cluster_role.arn
  vpc_config = {
    subnet_ids = [aws_subnet.public.id, ...]
    security_group_ids = [aws_security_group.eks_cluster_sg.id]
  }
}

4. Kubernetes Namespace:
Terraform
resource "kubernetes_namespace" "default" {
  metadata {
    name = "default"
  }
}
5. Microservice Deployments (Using Helm):
Terraform
# Assuming you have Helm charts for each microservice
resource "helm_release" "product_catalog" {
  name       = "product-catalog"
  namespace  = kubernetes_namespace.default.metadata.0.name
  repository = "https://your-chart-repo"
  chart      = "product-catalog"
  version    = "1.0.0"
  values     = {
    # ... configuration values for the product catalog service
  }
}

# ... similar Helm releases for other microservices like:
# inventory, order, payment, shipping, user, recommendation

== Additional ones

6, Secrets Management with AWS Secrets Manager:
resource "aws_secretsmanager_secret" "database_password" {
  name        = "my-database-password"
  description = "Database password for the e-commerce application"
  kms_key_id  = aws_kms_key.my_key.arn
  secret_string = "my_secure_password"
}

# Reference the secret in your Helm chart values:
resource "helm_release" "my_service" {
  # ...
  values = {
    # ...
    database: {
      password: "${aws_secretsmanager_secret.database_password.arn}"
    }
  }
}
7.  Ingress Controller with Nginx Ingress:
resource "helm_release" "ingress-nginx" {
  name       = "ingress-nginx"
  namespace  = "ingress-nginx"
  repository = "https://charts.bitnami.com/bitnami"
  chart      = "ingress-nginx"
  version    = "4.1.5"
  values     = {
    controller: {
      replicaCount: 2
    }
  }
}

resource "kubernetes_ingress" "product-catalog" {
  metadata {
    name = "product-catalog"
    annotations = {
      "nginx.ingress.kubernetes.io/rewrite-target" = "/"
    }
  }
  spec {
    rules = [{
      http = {
        paths = [{
          path     = "/"
          pathType = "Prefix"
          backend = {
            service {
              name = "product-catalog"
              port = kubernetes_service.product-catalog.spec.0.port[0]
            }
          }
        }]
      }
    }]
  }
  depends_on = [kubernetes_service.product-catalog, helm_release.ingress-nginx]
}

8.
 Monitoring and Logging with Prometheus and Grafana:

Install Prometheus and Grafana:
 resource "helm_release" "prometheus" {
  # ...
}
resource "helm_release" "grafana" {
  # ...
}
Configure Prometheus to scrape metrics:

Create a Prometheus configuration file to define scrape targets for your microservices and Kubernetes nodes.

Create Grafana dashboards:

Define dashboards to visualize metrics like CPU usage, memory usage, response time, and error rates.
9.CI/CD Pipeline with GitLab CI/CD:

image: registry.gitlab.com/gitlab-org/gitlab-runner:latest

stages:
  - build
  - test
  - deploy

build:
  stage: build
  script:
    - ./build.sh

test:
  stage: test
  script:
    - ./test.sh

deploy:
  stage: deploy
  script:
    - helm upgrade --install my-app ./charts/my-app

10.
Security:

Network Policies:
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: allow-product-catalog-to-inventory
spec:
  podSelector:
    matchLabels:
      app: product-catalog
  policyTypes:
    - Ingress
  ingress:
    - from:
      - podSelector:
          matchLabels:
            app: inventory

RBAC:

Define roles and role bindings to control access to Kubernetes resources.
Testing:

Unit Tests: Use tools like JUnit, TestNG, or pytest to test individual components.
Integration Tests: Use tools like Postman or JMeter to test the interaction between microservices.
End-to-End Tests: Use tools like Selenium or Cypress to test the complete user flow.
11. Scalability:

Horizontal Pod Autoscaler (HPA):
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
metadata:
  name: product-catalog-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: product-catalog
  minReplicas: 2
  maxReplicas: 10
  metrics:
    - type: Resource
      resource:
        name: cpu
        target:
          type: Utilization
          averageUtilization: 80

12.
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
metadata:
  name: product-catalog-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: product-catalog
  minReplicas: 2
  maxReplicas: 10
  metrics:
    - type: Resource
      resource:
        name: cpu
        target:
          type: Utilization
          averageUtilization: 80