Highly Available EKS Platform with Full CI/CD Automation

Designed and deployed a production-grade, highly available Kubernetes platform on AWS EKS, with full CI/CD pipelines, observability, security, and automation using Python and Boto3. This project demonstrates strong expertise across cloud infrastructure, DevOps automation, and scalable application delivery.

eks-platform-ci-cd

Technologies Used

  • kubernetes
  • aws-cloudwatch
  • aws-iam
  • aws-s3
  • aws-open-search
  • aws-code-pipeline

Key Features List

  1. Kubernetes & EKS Architecture
    • Designed and deployed a high-availability EKS cluster across multiple Availability Zones.
    • Implemented Kubernetes manifests, Helm charts, and Custom Resource Definitions (CRDs) to automate and standardize application deployments.
    • Enforced pod-level security using Kubernetes Network Policies, restricting cross-service communications.
  2. CI/CD Automation
    • Built a complete CI/CD pipeline using AWS CodePipeline and CodeDeploy for zero-downtime deployments.
    • Integrated source control via GitHub, enabling automated testing, build, and deployment workflows.
    • Implemented rollout strategies including blue/green, canary, and automated rollback.
  3. Python Automation & AWS Scripting
    • Developed multiple Python automation scripts for Deployment orchestration, Log analysis & health checks and Kubernetes workload automation.
    • Used Boto3 for AWS resource automation, including S3 operations, CloudWatch alerts, and OpenSearch indexing.
  4. Security & Compliance
    • Implemented Kubernetes network policies for service isolation.
    • Secured web applications using Amazon S3 static hosting and AWS CloudFront CDN with HTTPS & caching.
    • Applied IAM-based least-privilege access for all CI/CD and application components.
  5. Observability & Monitoring
    • Deployed CloudWatch dashboards, alarms, and log groups for system-level monitoring.
    • Integrated Prometheus for container-level metrics and workload insights.
    • Shipped logs and metrics to Amazon OpenSearch Service for centralized visualization.
  6. AI/ML Integration with AWS Bedrock
    • Integrated AWS Bedrock to power scalable and secure machine learning workflows.
    • Streamlined processed data ingestion into Amazon OpenSearch Service for analytics dashboards.

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