🚀 Advanced Elasticsearch & Terraform Infrastructure

Enterprise-grade Elasticsearch monitoring stack deployed with Infrastructure as Code (IaC) and automated CI/CD pipelines across multiple cloud providers. Enterprise-grade Elasticsearch monitoring stack deployed with Infrastructure as Code (IaC) and automated CI/CD pipelines across multiple cloud providers (AWS EKS + Azure AKS).

🎯 Project Overview

This project provides a complete, production-ready Elasticsearch monitoring stack deployed across multiple cloud providers (AWS EKS and Azure AKS) using Terraform. It includes automated CI/CD pipelines, multi-environment support, enterprise-grade security features, and true multi-cloud capabilities.

✨ Key Features

• 🏗️ Infrastructure as Code - Complete multi-cloud infrastructure defined in Terraform
• 🌐 Multi-Cloud Support - Deploy on AWS EKS, Azure AKS, or both simultaneously
• 🚀 Automated CI/CD - GitHub Actions pipeline with multi-environment deployment
• 🔒 Enterprise Security - X-Pack security, SSL/TLS, and RBAC
• 📊 Monitoring Stack - Elasticsearch, Kibana, and comprehensive monitoring
• 🌍 Multi-Environment - Development, Staging, and Production configurations
• 💰 Cost Optimization - Auto-scaling, spot instances, and resource management
• 🔄 GitOps Ready - ArgoCD integration for advanced deployment strategies

🏗️ Architecture

┌─────────────────────────────────────────────────────────────┐
│                    GitHub Repository                        │
│  ┌─────────────────┐  ┌─────────────────┐  ┌─────────────┐ │
│  │   Development   │  │     Staging     │  │ Production  │ │
│  │     Branch      │  │     Branch      │  │   Branch    │ │
│  └─────────────────┘  └─────────────────┘  └─────────────┘ │
└─────────────────────────────────────────────────────────────┘
                             │
                             ▼
┌─────────────────────────────────────────────────────────────┐
│                 GitHub Actions CI/CD                       │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────────────┐ │
│  │   Security  │  │   Validate  │  │   Deploy & Test    │ │
│  │    Scan     │  │  Terraform  │  │   Environments     │ │
│  └─────────────┘  └─────────────┘  └─────────────────────┘ │
└─────────────────────────────────────────────────────────────┘
                             │
                             ▼
┌─────────────────────────────────────────────────────────────┐
│                    Multi-Cloud Infrastructure               │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────────────┐ │
│  │     AWS     │  │    Azure    │  │   Elasticsearch     │ │
│  │     EKS     │  │     AKS     │  │   + Kibana Stack    │ │
│  │  (Primary)  │  │ (Secondary) │  │   (Multi-Cloud)     │ │
│  └─────────────┘  └─────────────┘  └─────────────────────┘ │
└─────────────────────────────────────────────────────────────┘

🚀 Quick Start

Prerequisites

• Terraform >= 1.5.0
• AWS CLI configured
• Azure CLI configured
• kubectl >= 1.28
• GitHub Account with repository access

1. Clone Repository

git clone https://github.com/InfraPlatformer/elastic-terraform-demo.git
cd elastic-terraform-demo

2. Configure Cloud Credentials

AWS Configuration

aws configure
# Enter your AWS Access Key ID, Secret Access Key, and Region

Azure Configuration

az login
az account set --subscription "your-subscription-id"

3. Deploy Development Environment

# Navigate to development environment
cd environments/development

# Initialize Terraform
terraform init

# Plan deployment (multi-cloud)
terraform plan

# Apply infrastructure
terraform apply -auto-approve

4. Access Your Multi-Cloud Stack

# Configure kubectl for AWS EKS
aws eks update-kubeconfig --region us-west-2 --name advanced-elastic-development-aws

# Configure kubectl for Azure AKS
az aks get-credentials --resource-group multi-cloud-elastic-rg --name advanced-elastic-development-aws-azure

# Check Elasticsearch on AWS
kubectl get pods -n elasticsearch --context=aws

# Check Elasticsearch on Azure
kubectl get pods -n elasticsearch --context=azure

# Port forward Kibana (AWS)
kubectl port-forward -n elasticsearch svc/advanced-elastic-development-aws-elasticsearch-aws 9200:9200 --context=aws

# Port forward Kibana (Azure)
kubectl port-forward -n elasticsearch svc/advanced-elastic-development-aws-elasticsearch-azure 9200:9200 --context=azure

🔧 CI/CD Pipeline Setup

1. Configure GitHub Secrets

Follow the Secrets Setup Guide to configure:

• AWS credentials for each environment
• Azure credentials for each environment
• Environment protection rules
• Deployment permissions

2. Push to Trigger Pipeline

git add .
git commit -m "Initial CI/CD setup"
git push origin develop  # Triggers development deployment

3. Monitor Pipeline

• View runs in GitHub Actions tab
• Check deployment status in AWS Console
• Check deployment status in Azure Portal
• Monitor Kubernetes resources with kubectl

🌍 Environment Configurations

Development Environment

• Purpose: Local development and testing
• Resources: Multi-cloud (AWS EKS + Azure AKS)
• Auto-deploy: ✅ On develop branch
• Security: Basic (disabled for development)
• Cloud Providers: AWS (us-west-2) + Azure (West US 2)

Staging Environment

• Purpose: Pre-production testing
• Resources: Medium (t3.large instances)
• Auto-deploy: ✅ On main branch
• Security: Production-like with SSL
• Cloud Providers: AWS (us-west-2)

Production Environment

• Purpose: Live production workloads
• Resources: High (m5.large/xlarge instances)
• Auto-deploy: ❌ Manual approval required
• Security: Enterprise-grade with full encryption
• Cloud Providers: AWS (us-west-2)

📁 Project Structure

elastic-terraform/
├── .github/                          # GitHub Actions CI/CD
│   ├── workflows/
│   │   └── terraform-deploy.yml     # Main CI/CD pipeline
│   └── SETUP_SECRETS.md             # Secrets configuration guide
├── environments/                     # Environment-specific configs
│   ├── development/
│   │   ├── main.tf                  # Development environment main config
│   │   ├── variables.tf             # Development environment variables
│   │   ├── outputs.tf               # Development environment outputs
│   │   └── terraform.tfvars         # Development environment variables
│   ├── staging/
│   │   └── terraform.tfvars         # Staging environment variables
│   └── production/
│       └── terraform.tfvars         # Production environment variables
├── modules/                          # Reusable Terraform modules
│   ├── eks/                         # EKS cluster module
│   ├── azure-aks/                   # Azure AKS cluster module
│   ├── elasticsearch/               # Elasticsearch module
│   ├── kibana/                      # Kibana module
│   ├── monitoring/                  # Monitoring stack module
│   ├── networking/                  # VPC and networking module
│   └── multi-cloud-elasticsearch/   # Multi-cloud Elasticsearch module
├── elasticsearch-values.yaml         # Elasticsearch Helm values
├── kibana-values.yaml               # Kibana Helm values
├── main.tf                          # Main Terraform configuration
├── variables.tf                     # Variable definitions
├── outputs.tf                       # Output values
└── README.md                        # This file

🔒 Security Features

• X-Pack Security: Authentication and authorization
• SSL/TLS Encryption: In-transit and at-rest encryption
• RBAC: Role-based access control
• Network Policies: Kubernetes network security
• IAM Integration: AWS IAM roles and policies
• Azure RBAC: Azure role-based access control
• Secret Management: Kubernetes secrets and cloud provider secret management

📊 Monitoring & Observability

• Elasticsearch: Centralized logging and search across clouds
• Kibana: Data visualization and management
• Prometheus: Metrics collection
• Grafana: Advanced dashboards
• Alerting: Automated notifications
• Log Aggregation: Centralized log management
• Multi-Cloud Visibility: Cross-cloud monitoring and alerting

💰 Cost Optimization

• Auto-scaling: Automatic resource scaling based on demand
• Spot Instances: Use of AWS spot instances for non-critical workloads
• Resource Limits: Proper CPU and memory limits
• Storage Optimization: Efficient EBS volume management
• Multi-Cloud Cost Management: Cost tracking across cloud providers
• Monitoring: Cost tracking and optimization recommendations

🚨 Troubleshooting

Common Issues

1. Multi-Cloud Connection Issues

# Check AWS Elasticsearch status
kubectl get pods -n elasticsearch --context=aws

# Check Azure Elasticsearch status
kubectl get pods -n elasticsearch --context=azure

# Check cross-cloud connectivity
kubectl logs -n elasticsearch elasticsearch-aws-0 --context=aws
kubectl logs -n elasticsearch elasticsearch-azure-0 --context=azure

2. Terraform State Issues

# Reinitialize Terraform
terraform init -reconfigure

# Import existing resources
terraform import aws_eks_cluster.main cluster-name
terraform import azurerm_kubernetes_cluster.main cluster-name

3. CI/CD Pipeline Failures

• Check GitHub Actions logs
• Verify AWS and Azure credentials
• Check environment protection rules
• Verify multi-cloud configuration

Getting Help

• 📖 Documentation
• 🐛 Issues
• 💬 Discussions

🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• HashiCorp Terraform for infrastructure automation
• Elastic for the Elasticsearch stack
• AWS for cloud infrastructure
• Microsoft Azure for cloud infrastructure
• Kubernetes for container orchestration

---

⭐ Star this repository if you find it helpful!

🔗 Connect with us:

• GitHub
• LinkedIn