Modern cloud-native applications demand automation, security, and scalability from day one. This architecture demonstrates how to combine GitOps, Infrastructure as Code, and managed Kubernetes to build a production-ready delivery platform on AWS.
Let’s break down how this end-to-end system works and why it’s a powerful pattern for teams operating at scale.
🚀 Architecture Overview
At a high level, the workflow integrates:
Source control via GitHub
CI/CD pipelines using GitHub Actions
Infrastructure provisioning with Terraform
Runtime platform powered by Amazon Web Services (AWS)
Kubernetes workloads on Amazon EKS
This creates a fully automated pipeline from code commit → infrastructure deployment → application rollout.
🔐 Secure CI/CD with OIDC (No Static Credentials)
A key highlight is the use of OIDC authentication between GitHub Actions and AWS.
Instead of storing long-lived AWS credentials:
GitHub Actions requests a short-lived token
AWS validates it via IAM roles
Permissions are tightly scoped and temporary
This significantly improves security posture and aligns with modern zero-trust principles.
⚙️ Infrastructure as Code with Terraform
Using Terraform, the pipeline provisions:
VPC & Subnets (network isolation)
EKS Cluster (managed Kubernetes control plane)
Node Groups (compute scaling)
RDS (PostgreSQL) for persistent storage
ElastiCache (Redis) for caching and performance
Benefits:
Repeatable environments
Version-controlled infrastructure
Easy rollback and drift detection
☸️ Kubernetes Platform with EKS
The core runtime is powered by Amazon EKS, enabling:
Key Components:
Ingress Controller → external traffic routing
Argo CD → GitOps-based application delivery
Node Groups → scalable worker nodes
Why this matters:
Teams can deploy independently
Declarative deployments via Git
Clear separation of infra and app layers
🔄 GitOps Deployment with ArgoCD
Instead of pushing deployments from CI:
Git becomes the single source of truth
ArgoCD continuously syncs cluster state with Git
Rollbacks are as simple as reverting a commit
This pattern ensures:
Auditability
Consistency across environments
Reduced operational overhead
📊 Observability & Monitoring
Production systems require deep visibility. This architecture includes:
Amazon CloudWatch for logs and metrics
Amazon SNS for alerting and notifications
What you get:
Centralized logging
Real-time alerting
Operational insights into microservices
🧩 Application Layer
Applications run as containerized microservices (Pods) inside EKS.
They integrate with:
RDS → relational data
ElastiCache (Redis) → fast in-memory access
Logging pipelines → observability stack
This enables:
Horizontal scaling
Resilience
Loose coupling between services
✅ Key Benefits of This Architecture
- Security First
No hardcoded credentials (OIDC)
Fine-grained IAM roles - Fully Automated Delivery
Commit → Deploy pipeline
No manual intervention - Scalable by Design
Kubernetes auto-scaling
Managed AWS services - GitOps Simplicity
Everything defined in Git
Easy rollbacks and audits - Production-Ready Observability
Metrics, logs, and alerts built-in