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Portfolio

Building Efficient Kubernetes Infrastructure with Terraform and Blueprints Addons

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A comprehensive project deploying a sample web application using Terraform EKS modules and add-ons. My focus was on establishing robust networking, efficient cluster provisioning, essential add-ons, and comprehensive monitoring to ensure a seamless deployment experience. The solution includes a multi-AZ VPC with private and public subnets, Amazon EKS running across private subnets, ELB for traffic routing, auto-scaling for dynamic capacity management, and CloudWatch Observability for real-time monitoring.

 • A multi-AZ VPC with private and public subnets for secure and scalable networking.
Provision Amazon EKS clusters with Terraform Blueprints, abstracting infrastructure complexity and promoting reuse across environments.
 • Amazon EKS control plane and worker nodes running across private subnets.
 • EKS Managed Node Groups with auto-scalingfor dynamic workload management.
 • Elastic Load Balancer (ELB) for routing external traffic.
 • CloudWatch Observability for real-time monitoring.

The architecture is designed for high availability, security, and operational excellence, consisting of:

𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐚 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦

Using Terraform VPC modules allows for consistent and repeatable infrastructure deployment with these key components:

 • A multi-AZ network with private subnets for worker nodes.
 •  NAT Gateways to allow outbound internet access from private subnets.
 •  Security Groups and Network ACLs to control traffic between subnets, ensuring fine-grained access control and a secure environment.

𝐃𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐚𝐧 𝐄𝐊𝐒 𝐂𝐥𝐮𝐬𝐭𝐞𝐫 𝐰𝐢𝐭𝐡 𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦

With Terraform EKS modules, we can automate the entire cluster provisioning process, dramatically reducing the complexity while ensuring consistent deployments:

 •  Provisioning the EKS control plane in a dedicated VPC.
 • Deploying worker nodes in auto-scaling groups across private subnets.
 • IAM role assignments to securely manage cluster access.

𝐄𝐧𝐡𝐚𝐧𝐜𝐢𝐧𝐠 𝐄𝐊𝐒 𝐰𝐢𝐭𝐡 𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦 𝐀𝐝𝐝-𝐨𝐧𝐬 𝐚𝐧𝐝 𝐍𝐚𝐭𝐢𝐯𝐞 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬

To optimize networking and observability, we leverage both the Terraform-managed resources and native EKS features:

 •  VPC-CNI for efficient pod networking within the VPC.
 •  CloudWatch Observability for real-time logs, metrics, and performance monitoring.
 •  AWS Load Balancer Controller for automated ALB/NLB provisioning and traffic management.
𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐧𝐠 𝐀𝐦𝐚𝐳𝐨𝐧 𝐄𝐊𝐒 𝐂𝐥𝐨𝐮𝐝𝐖𝐚𝐭𝐜𝐡 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬

Amazon CloudWatch Container Insights provides deep visibility into cluster operations by:

 •  Tracking CPU and memory utilization per pod.
 •  Integrating logs and metrics for proactive monitoring and troubleshooting.
 •  Enhancing operational efficiency with real-time alerts and dashboards.

AWS Services and Tools Used
• Amazon EKS:  EKS clusters are provisioned and auto-scaling node groups are used to efficiently handle workloads.
• Amazon VPC:  A multi-AZ VPC with private and public subnets ensures secure, scalable networking for the EKS deployment.
• Amazon ELB:  Routes external traffic to the application in the EKS cluster.
• NAT Gateways:  Used to allow outbound internet access for worker nodes in private subnets.
• CLoudWatch Container Insights:  Collects metrics and logs from the EKS pods, enabling proactive monitoring of CPU, memory, and performance metrics.
• VPC-CNI (Amazon VPC CNI Plugin for Kubernetes):  Ensures seamless pod-to-pod networking in the VPC and enables efficient networking across your EKS cluster.
• AWS IAM:  IAM roles are assigned to nodes in the EKS cluster to ensure secure access control.

Best Practices for building Efficient Kubernetes Infrastructure with EKS and Terraform
• Terraform simplifies infrastructure as code (IaC), making EKS and VPC deployments scalable and repeatable.
• A well-architected VPC with private subnets improves security and isolation.
• EKS Blueprints Add-ons optimize networking (VPC-CNI), observability (CloudWatch), AWS Load Balancer controller.
• CloudWatch Container Insights offers real-time monitoring for proactive issue resolution.

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