Modern DevOps: Infrastructure as Code with Terraform and Pulumi

Infrastructure as Code (IaC) has evolved from a nice-to-have to an absolute necessity in modern software development. After managing infrastructure for systems serving millions of users, I've learned that the choice between Terraform and Pulumi isn't just about syntax—it's about team capabilities, organizational needs, and long-term maintainability.

The Evolution of Infrastructure Management

From ClickOps to GitOps

The journey from manual infrastructure management to fully automated GitOps workflows represents one of the most significant improvements in operational efficiency I've witnessed.

// Modern IaC workflow with Pulumi
import * as aws from "@pulumi/aws";
import * as awsx from "@pulumi/awsx";
import * as kubernetes from "@pulumi/kubernetes";

class ModernInfrastructure {
  private cluster: aws.eks.Cluster;
  private vpc: awsx.ec2.Vpc;
  private nodeGroup: aws.eks.NodeGroup;
  
  constructor(private config: InfrastructureConfig) {
    this.createNetworking();
    this.createCompute();
    this.setupMonitoring();
  }
  
  private createNetworking() {
    this.vpc = new awsx.ec2.Vpc("main-vpc", {
      cidrBlock: "10.0.0.0/16",
      numberOfAvailabilityZones: 3,
      enableDnsHostnames: true,
      enableDnsSupport: true,
      subnets: [
        {
          type: "public",
          cidrMask: 24,
          tags: { "kubernetes.io/role/elb": "1" }
        },
        {
          type: "private",
          cidrMask: 24,
          tags: { "kubernetes.io/role/internal-elb": "1" }
        }
      ]
    });
  }
  
  private createCompute() {
    // EKS Cluster with managed node groups
    this.cluster = new aws.eks.Cluster("main-cluster", {
      version: "1.28",
      vpcConfig: {
        subnetIds: this.vpc.privateSubnetIds,
        endpointConfigPrivateAccess: true,
        endpointConfigPublicAccess: true,
        publicAccessCidrs: ["0.0.0.0/0"]
      },
      enabledClusterLogTypes: [
        "api", "audit", "authenticator", "controllerManager", "scheduler"
      ]
    });
    
    // Managed node group with spot instances
    this.nodeGroup = new aws.eks.NodeGroup("main-nodes", {
      clusterName: this.cluster.name,
      nodeRoleArn: this.createNodeRole().arn,
      subnetIds: this.vpc.privateSubnetIds,
      capacityType: "SPOT",
      instanceTypes: ["t3.medium", "t3.large"],
      scalingConfig: {
        desiredSize: 3,
        maxSize: 10,
        minSize: 1
      },
      updateConfig: {
        maxUnavailablePercentage: 25
      }
    });
  }
}

Terraform vs Pulumi: A Practical Comparison

Terraform: The Declarative Approach

## Terraform configuration for multi-environment setup
terraform {
  required_version = ">= 1.0"
  required_providers {
    aws = {
      source  = "hashicorp/aws"
      version = "~> 5.0"
    }
  }
  
  backend "s3" {
    bucket         = "terraform-state-bucket"
    key            = "infrastructure/terraform.tfstate"
    region         = "us-east-1"
    encrypt        = true
    dynamodb_table = "terraform-locks"
  }
}

## Reusable module for EKS cluster
module "eks_cluster" {
  source = "./modules/eks"
  
  cluster_name    = var.cluster_name
  cluster_version = var.cluster_version
  
  vpc_id     = module.vpc.vpc_id
  subnet_ids = module.vpc.private_subnets
  
  node_groups = {
    main = {
      instance_types = ["t3.medium", "t3.large"]
      capacity_type  = "SPOT"
      min_size      = 1
      max_size      = 10
      desired_size  = 3
      
      k8s_labels = {
        Environment = var.environment
        NodeGroup   = "main"
      }
      
      tags = {
        "kubernetes.io/cluster/${var.cluster_name}" = "owned"
      }
    }
  }
  
  # IRSA roles for service accounts
  irsa_roles = [
    {
      name      = "aws-load-balancer-controller"
      namespace = "kube-system"
      policy_arns = [
        "arn:aws:iam::aws:policy/ElasticLoadBalancingFullAccess"
      ]
    },
    {
      name      = "external-dns"
      namespace = "kube-system"
      policy_arns = [
        aws_iam_policy.external_dns.arn
      ]
    }
  ]
}

## Custom IAM policy for external-dns
resource "aws_iam_policy" "external_dns" {
  name_prefix = "external-dns-"
  
  policy = jsonencode({
    Version = "2012-10-17"
    Statement = [
      {
        Effect = "Allow"
        Action = [
          "route53:ChangeResourceRecordSets",
          "route53:ListHostedZones",
          "route53:ListResourceRecordSets"
        ]
        Resource = "*"
      }
    ]
  })
}

Pulumi: The Programmatic Approach

// Pulumi configuration with advanced patterns
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
import * as kubernetes from "@pulumi/kubernetes";

interface ClusterConfig {
  name: string;
  version: string;
  nodeGroups: NodeGroupConfig[];
  addons: AddonConfig[];
}

class EKSClusterBuilder {
  private cluster: aws.eks.Cluster;
  private provider: kubernetes.Provider;
  
  constructor(private config: ClusterConfig) {}
  
  async build(): Promise<EKSCluster> {
    // Create cluster with advanced configuration
    this.cluster = new aws.eks.Cluster(this.config.name, {
      version: this.config.version,
      vpcConfig: await this.getVpcConfig(),
      encryptionConfig: [{
        provider: {
          keyArn: await this.createKMSKey()
        },
        resources: ["secrets"]
      }],
      enabledClusterLogTypes: [
        "api", "audit", "authenticator", "controllerManager", "scheduler"
      ]
    });
    
    // Create Kubernetes provider
    this.provider = new kubernetes.Provider("k8s-provider", {
      kubeconfig: this.cluster.kubeconfigJson
    });
    
    // Install essential addons
    await this.installAddons();
    
    // Create node groups
    await this.createNodeGroups();
    
    return new EKSCluster(this.cluster, this.provider);
  }
  
  private async installAddons(): Promise<void> {
    // AWS Load Balancer Controller
    const albController = new kubernetes.helm.v3.Chart("aws-load-balancer-controller", {
      chart: "aws-load-balancer-controller",
      repository: "https://aws.github.io/eks-charts",
      namespace: "kube-system",
      values: {
        clusterName: this.cluster.name,
        serviceAccount: {
          create: true,
          annotations: {
            "eks.amazonaws.com/role-arn": await this.createIRSARole("aws-load-balancer-controller")
          }
        }
      }
    }, { provider: this.provider });
    
    // External DNS
    const externalDns = new kubernetes.helm.v3.Chart("external-dns", {
      chart: "external-dns",
      repository: "https://kubernetes-sigs.github.io/external-dns/",
      namespace: "kube-system",
      values: {
        serviceAccount: {
          annotations: {
            "eks.amazonaws.com/role-arn": await this.createIRSARole("external-dns")
          }
        },
        domainFilters: ["example.com"],
        policy: "sync"
      }
    }, { provider: this.provider });
  }
  
  private async createIRSARole(serviceName: string): Promise<string> {
    const role = new aws.iam.Role(`${serviceName}-role`, {
      assumeRolePolicy: pulumi.all([
        this.cluster.identity,
        this.cluster.name
      ]).apply(([identity, clusterName]) => 
        JSON.stringify({
          Version: "2012-10-17",
          Statement: [{
            Effect: "Allow",
            Principal: {
              Federated: identity.oidc[0].issuer
            },
            Action: "sts:AssumeRoleWithWebIdentity",
            Condition: {
              StringEquals: {
                [`${identity.oidc[0].issuer}:sub`]: `system:serviceaccount:kube-system:${serviceName}`,
                [`${identity.oidc[0].issuer}:aud`]: "sts.amazonaws.com"
              }
            }
          }]
        })
      )
    });
    
    return role.arn;
  }
}

Advanced GitOps Workflows

Multi-Environment Pipeline

## GitHub Actions workflow for infrastructure deployment
name: Infrastructure Deployment

on:
  push:
    branches: [main, develop]
    paths: ['infrastructure/**']
  pull_request:
    paths: ['infrastructure/**']

env:
  AWS_REGION: us-east-1
  TERRAFORM_VERSION: 1.6.0
  PULUMI_VERSION: 3.90.0

jobs:
  plan:
    name: Plan Infrastructure Changes
    runs-on: ubuntu-latest
    strategy:
      matrix:
        environment: [dev, staging, prod]
        tool: [terraform, pulumi]
    
    steps:
    - name: Checkout
      uses: actions/checkout@v4
      
    - name: Configure AWS credentials
      uses: aws-actions/configure-aws-credentials@v4
      with:
        role-to-assume: ${{ secrets.AWS_ROLE_ARN }}
        aws-region: ${{ env.AWS_REGION }}
        
    - name: Setup Terraform
      if: matrix.tool == 'terraform'
      uses: hashicorp/setup-terraform@v3
      with:
        terraform_version: ${{ env.TERRAFORM_VERSION }}
        
    - name: Setup Pulumi
      if: matrix.tool == 'pulumi'
      uses: pulumi/actions@v4
      with:
        pulumi-version: ${{ env.PULUMI_VERSION }}
        
    - name: Terraform Plan
      if: matrix.tool == 'terraform'
      working-directory: infrastructure/terraform
      run: |
        terraform init -backend-config="key=environments/${{ matrix.environment }}/terraform.tfstate"
        terraform plan -var-file="environments/${{ matrix.environment }}.tfvars" -out=tfplan
        
    - name: Pulumi Preview
      if: matrix.tool == 'pulumi'
      working-directory: infrastructure/pulumi
      run: |
        pulumi stack select ${{ matrix.environment }}
        pulumi preview --diff
        
    - name: Upload Plan Artifacts
      uses: actions/upload-artifact@v3
      with:
        name: ${{ matrix.tool }}-plan-${{ matrix.environment }}
        path: |
          infrastructure/${{ matrix.tool }}/tfplan
          infrastructure/${{ matrix.tool }}/pulumi-preview.json

  security-scan:
    name: Security Scanning
    runs-on: ubuntu-latest
    needs: plan
    
    steps:
    - name: Checkout
      uses: actions/checkout@v4
      
    - name: Run Checkov
      uses: bridgecrewio/checkov-action@master
      with:
        directory: infrastructure/
        framework: terraform,kubernetes
        output_format: sarif
        output_file_path: checkov-results.sarif
        
    - name: Run tfsec
      uses: aquasecurity/tfsec-action@v1.0.3
      with:
        working_directory: infrastructure/terraform
        
    - name: Upload SARIF file
      uses: github/codeql-action/upload-sarif@v2
      with:
        sarif_file: checkov-results.sarif

  deploy:
    name: Deploy Infrastructure
    runs-on: ubuntu-latest
    needs: [plan, security-scan]
    if: github.ref == 'refs/heads/main'
    environment: production
    
    steps:
    - name: Checkout
      uses: actions/checkout@v4
      
    - name: Deploy to Production
      run: |
        # Implement blue-green deployment strategy
        ./scripts/blue-green-deploy.sh

Infrastructure Testing Strategies

Terratest for Infrastructure Validation

package test

import (
    "testing"
    "time"
    
    "github.com/gruntwork-io/terratest/modules/aws"
    "github.com/gruntwork-io/terratest/modules/terraform"
    "github.com/stretchr/testify/assert"
)

func TestEKSCluster(t *testing.T) {
    t.Parallel()
    
    // Configure Terraform options
    terraformOptions := &terraform.Options{
        TerraformDir: "../infrastructure/terraform",
        VarFiles:     []string{"test.tfvars"},
        Vars: map[string]interface{}{
            "cluster_name": "test-cluster-" + randomString(8),
            "environment":  "test",
        },
        BackendConfig: map[string]interface{}{
            "bucket": "terraform-test-state",
            "key":    "test/terraform.tfstate",
            "region": "us-east-1",
        },
    }
    
    // Clean up resources after test
    defer terraform.Destroy(t, terraformOptions)
    
    // Deploy infrastructure
    terraform.InitAndApply(t, terraformOptions)
    
    // Validate cluster creation
    clusterName := terraform.Output(t, terraformOptions, "cluster_name")
    awsRegion := terraform.Output(t, terraformOptions, "aws_region")
    
    // Test cluster is accessible
    cluster := aws.GetEksCluster(t, awsRegion, clusterName)
    assert.Equal(t, "ACTIVE", *cluster.Status)
    
    // Test node groups are healthy
    nodeGroups := aws.GetEksNodeGroups(t, awsRegion, clusterName)
    assert.True(t, len(nodeGroups) > 0)
    
    for _, nodeGroup := range nodeGroups {
        assert.Equal(t, "ACTIVE", *nodeGroup.Status)
    }
    
    // Test Kubernetes API accessibility
    testKubernetesConnectivity(t, terraformOptions)
}

func testKubernetesConnectivity(t *testing.T, terraformOptions *terraform.Options) {
    kubeconfigPath := terraform.Output(t, terraformOptions, "kubeconfig_path")
    
    // Test basic kubectl commands
    kubectl := k8s.NewKubectlOptions("", kubeconfigPath, "default")
    
    // Wait for nodes to be ready
    k8s.WaitUntilAllNodesReady(t, kubectl, 10, 30*time.Second)
    
    // Deploy test application
    k8s.KubectlApply(t, kubectl, "test-manifests/")
    defer k8s.KubectlDelete(t, kubectl, "test-manifests/")
    
    // Wait for deployment to be ready
    k8s.WaitUntilDeploymentAvailable(t, kubectl, "test-app", 10, 30*time.Second)
}

Cost Optimization Strategies

Automated Cost Management

// Pulumi automation for cost optimization
import * as aws from "@pulumi/aws";
import * as pulumi from "@pulumi/pulumi";

class CostOptimizer {
  private config: pulumi.Config;
  
  constructor() {
    this.config = new pulumi.Config();
  }
  
  createSpotNodeGroup(clusterName: pulumi.Output<string>): aws.eks.NodeGroup {
    return new aws.eks.NodeGroup("spot-nodes", {
      clusterName: clusterName,
      capacityType: "SPOT",
      instanceTypes: ["t3.medium", "t3.large", "t3.xlarge"],
      
      // Mixed instance policy for better availability
      launchTemplate: {
        version: "$Latest"
      },
      
      scalingConfig: {
        desiredSize: 3,
        maxSize: 20,
        minSize: 1
      },
      
      // Taints for spot instances
      taints: [{
        key: "spot-instance",
        value: "true",
        effect: "NO_SCHEDULE"
      }],
      
      tags: {
        "k8s.io/cluster-autoscaler/enabled": "true",
        "k8s.io/cluster-autoscaler/node-template/taint/spot-instance": "true:NoSchedule"
      }
    });
  }
  
  setupAutoscaling(clusterName: string): void {
    // Cluster Autoscaler configuration
    const clusterAutoscaler = new kubernetes.apps.v1.Deployment("cluster-autoscaler", {
      metadata: {
        name: "cluster-autoscaler",
        namespace: "kube-system"
      },
      spec: {
        selector: {
          matchLabels: {
            app: "cluster-autoscaler"
          }
        },
        template: {
          metadata: {
            labels: {
              app: "cluster-autoscaler"
            }
          },
          spec: {
            containers: [{
              name: "cluster-autoscaler",
              image: "k8s.gcr.io/autoscaling/cluster-autoscaler:v1.21.0",
              command: [
                "./cluster-autoscaler",
                `--v=4`,
                `--stderrthreshold=info`,
                `--cloud-provider=aws`,
                `--skip-nodes-with-local-storage=false`,
                `--expander=least-waste`,
                `--node-group-auto-discovery=asg:tag=k8s.io/cluster-autoscaler/enabled,k8s.io/cluster-autoscaler/${clusterName}`,
                `--balance-similar-node-groups`,
                `--skip-nodes-with-system-pods=false`
              ],
              resources: {
                limits: {
                  cpu: "100m",
                  memory: "300Mi"
                },
                requests: {
                  cpu: "100m",
                  memory: "300Mi"
                }
              }
            }]
          }
        }
      }
    });
  }
  
  // Automated resource cleanup
  createCleanupLambda(): aws.lambda.Function {
    return new aws.lambda.Function("resource-cleanup", {
      runtime: aws.lambda.Runtime.Python3d9,
      code: new pulumi.asset.AssetArchive({
        ".": new pulumi.asset.FileArchive("./lambda/cleanup")
      }),
      handler: "cleanup.handler",
      environment: {
        variables: {
          ENVIRONMENT: this.config.require("environment")
        }
      },
      
      // Schedule to run daily
      timeout: 300
    });
  }
}

Monitoring and Observability

Comprehensive Infrastructure Monitoring

## Prometheus configuration for infrastructure monitoring
apiVersion: v1
kind: ConfigMap
metadata:
  name: prometheus-config
  namespace: monitoring
data:
  prometheus.yml: |
    global:
      scrape_interval: 15s
      evaluation_interval: 15s
    
    rule_files:
      - "/etc/prometheus/rules/*.yml"
    
    alerting:
      alertmanagers:
        - static_configs:
            - targets:
              - alertmanager:9093
    
    scrape_configs:
      # Kubernetes API server
      - job_name: 'kubernetes-apiservers'
        kubernetes_sd_configs:
        - role: endpoints
        scheme: https
        tls_config:
          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
        relabel_configs:
        - source_labels: [__meta_kubernetes_namespace, __meta_kubernetes_service_name, __meta_kubernetes_endpoint_port_name]
          action: keep
          regex: default;kubernetes;https
      
      # Node metrics
      - job_name: 'kubernetes-nodes'
        kubernetes_sd_configs:
        - role: node
        scheme: https
        tls_config:
          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
        relabel_configs:
        - action: labelmap
          regex: __meta_kubernetes_node_label_(.+)
        - target_label: __address__
          replacement: kubernetes.default.svc:443
        - source_labels: [__meta_kubernetes_node_name]
          regex: (.+)
          target_label: __metrics_path__
          replacement: /api/v1/nodes/${1}/proxy/metrics
      
      # AWS Load Balancer Controller metrics
      - job_name: 'aws-load-balancer-controller'
        kubernetes_sd_configs:
        - role: endpoints
          namespaces:
            names:
            - kube-system
        relabel_configs:
        - source_labels: [__meta_kubernetes_service_name]
          action: keep
          regex: aws-load-balancer-webhook-service
---
apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
  name: infrastructure-alerts
  namespace: monitoring
spec:
  groups:
  - name: infrastructure.rules
    rules:
    - alert: HighNodeCPUUsage
      expr: (100 - (avg by (instance) (irate(node_cpu_seconds_total{mode="idle"}[5m])) * 100)) > 80
      for: 5m
      labels:
        severity: warning
      annotations:
        summary: "High CPU usage on node {{ $labels.instance }}"
        description: "Node {{ $labels.instance }} has CPU usage above 80% for more than 5 minutes."
    
    - alert: HighNodeMemoryUsage
      expr: (1 - (node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes)) * 100 > 85
      for: 5m
      labels:
        severity: warning
      annotations:
        summary: "High memory usage on node {{ $labels.instance }}"
        description: "Node {{ $labels.instance }} has memory usage above 85% for more than 5 minutes."
    
    - alert: KubernetesNodeNotReady
      expr: kube_node_status_condition{condition="Ready",status="true"} == 0
      for: 10m
      labels:
        severity: critical
      annotations:
        summary: "Kubernetes node not ready"
        description: "Node {{ $labels.node }} has been not ready for more than 10 minutes."

Security and Compliance

Infrastructure Security Scanning

## Python script for automated security compliance checking
import boto3
import json
from typing import Dict, List, Any

class InfrastructureSecurityScanner:
    def __init__(self):
        self.ec2 = boto3.client('ec2')
        self.iam = boto3.client('iam')
        self.eks = boto3.client('eks')
        self.s3 = boto3.client('s3')
        
    def scan_security_groups(self) -> List[Dict[str, Any]]:
        """Scan for overly permissive security groups"""
        violations = []
        
        response = self.ec2.describe_security_groups()
        
        for sg in response['SecurityGroups']:
            for rule in sg.get('IpPermissions', []):
                # Check for 0.0.0.0/0 access
                for ip_range in rule.get('IpRanges', []):
                    if ip_range.get('CidrIp') == '0.0.0.0/0':
                        violations.append({
                            'type': 'overly_permissive_sg',
                            'resource': sg['GroupId'],
                            'description': f"Security group {sg['GroupId']} allows access from 0.0.0.0/0",
                            'severity': 'HIGH' if rule.get('FromPort') in [22, 3389] else 'MEDIUM'
                        })
        
        return violations
    
    def scan_iam_policies(self) -> List[Dict[str, Any]]:
        """Scan for overly permissive IAM policies"""
        violations = []
        
        # Check for policies with * actions
        paginator = self.iam.get_paginator('list_policies')
        
        for page in paginator.paginate(Scope='Local'):
            for policy in page['Policies']:
                policy_version = self.iam.get_policy_version(
                    PolicyArn=policy['Arn'],
                    VersionId=policy['DefaultVersionId']
                )
                
                document = policy_version['PolicyVersion']['Document']
                
                for statement in document.get('Statement', []):
                    if isinstance(statement.get('Action'), str):
                        actions = [statement['Action']]
                    else:
                        actions = statement.get('Action', [])
                    
                    if '*' in actions and statement.get('Effect') == 'Allow':
                        violations.append({
                            'type': 'overly_permissive_iam',
                            'resource': policy['Arn'],
                            'description': f"IAM policy {policy['PolicyName']} allows all actions (*)",
                            'severity': 'HIGH'
                        })
        
        return violations
    
    def scan_eks_clusters(self) -> List[Dict[str, Any]]:
        """Scan EKS clusters for security best practices"""
        violations = []
        
        clusters = self.eks.list_clusters()
        
        for cluster_name in clusters['clusters']:
            cluster = self.eks.describe_cluster(name=cluster_name)['cluster']
            
            # Check if cluster endpoint is public
            vpc_config = cluster.get('resourcesVpcConfig', {})
            if vpc_config.get('endpointConfigPublicAccess'):
                public_cidrs = vpc_config.get('publicAccessCidrs', [])
                if '0.0.0.0/0' in public_cidrs:
                    violations.append({
                        'type': 'public_eks_endpoint',
                        'resource': cluster_name,
                        'description': f"EKS cluster {cluster_name} has public endpoint accessible from anywhere",
                        'severity': 'MEDIUM'
                    })
            
            # Check if logging is enabled
            logging = cluster.get('logging', {})
            enabled_logs = [log['type'] for log in logging.get('clusterLogging', []) if log.get('enabled')]
            
            required_logs = ['api', 'audit', 'authenticator']
            missing_logs = set(required_logs) - set(enabled_logs)
            
            if missing_logs:
                violations.append({
                    'type': 'missing_eks_logs',
                    'resource': cluster_name,
                    'description': f"EKS cluster {cluster_name} missing required log types: {', '.join(missing_logs)}",
                    'severity': 'MEDIUM'
                })
        
        return violations
    
    def generate_compliance_report(self) -> Dict[str, Any]:
        """Generate comprehensive compliance report"""
        all_violations = []
        
        all_violations.extend(self.scan_security_groups())
        all_violations.extend(self.scan_iam_policies())
        all_violations.extend(self.scan_eks_clusters())
        
        # Categorize by severity
        high_severity = [v for v in all_violations if v['severity'] == 'HIGH']
        medium_severity = [v for v in all_violations if v['severity'] == 'MEDIUM']
        low_severity = [v for v in all_violations if v['severity'] == 'LOW']
        
        return {
            'total_violations': len(all_violations),
            'high_severity_count': len(high_severity),
            'medium_severity_count': len(medium_severity),
            'low_severity_count': len(low_severity),
            'violations': all_violations,
            'compliance_score': max(0, 100 - (len(high_severity) * 10 + len(medium_severity) * 5 + len(low_severity) * 1))
        }

if __name__ == "__main__":
    scanner = InfrastructureSecurityScanner()
    report = scanner.generate_compliance_report()
    
    print(json.dumps(report, indent=2))
    
    # Fail CI/CD if high severity violations found
    if report['high_severity_count'] > 0:
        exit(1)

Future of Infrastructure as Code

  1. AI-Powered Infrastructure Optimization
  2. Policy as Code Integration
  3. Serverless Infrastructure Patterns
  4. Multi-Cloud Abstraction Layers
  5. GitOps for Everything

Conclusion

The choice between Terraform and Pulumi ultimately depends on your team's expertise and organizational needs. Terraform excels in declarative simplicity and ecosystem maturity, while Pulumi offers programmatic flexibility and familiar development patterns.

Key takeaways for modern IaC:

  1. Embrace GitOps workflows for better collaboration and auditability
  2. Implement comprehensive testing at all levels
  3. Prioritize security scanning in your CI/CD pipeline
  4. Monitor infrastructure costs proactively
  5. Plan for disaster recovery from day one

The future of infrastructure management is code-driven, automated, and observable. By adopting these practices, you'll build more reliable, secure, and cost-effective systems.


These patterns and practices have been refined through managing infrastructure for applications serving millions of users across fintech, healthcare, and e-commerce platforms. Each approach has been battle-tested in production environments.