Works

Jenkins EKS Migration

As part of my cloud automation expertise, I successfully migrated Jenkins from an EC2 instance to AWS Elastic Kubernetes Service (EKS). This migration enhanced Jenkins’ scalability, reliability, and overall performance by leveraging Kubernetes’ managed infrastructure on AWS.

Key Highlights:

• Seamless Migration: Automated the transition from a traditional EC2 instance to EKS, ensuring minimal downtime.
• Scalability & Efficiency: Configured Jenkins on EKS to automatically scale based on workload, enabling efficient resource utilization and enhanced fault tolerance.
• CI/CD Continuity: Ensured that Jenkins pipelines continued to function seamlessly post-migration, integrating with existing workflows on EKS.
• Infrastructure as Code: Used Kubernetes manifests and Helm charts to deploy and manage Jenkins in a cloud-native environment.

Technologies Used:

• AWS Elastic Kubernetes Service (EKS)
• Jenkins
• AWS CLI, kubectl

This project demonstrates my ability to optimize CI/CD environments and my proficiency in cloud technologies like AWS and Kubernetes, enhancing both performance and operational efficiency.

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EKS (Elastic Kubernetes Service) Deployment

This project automates the provisioning and management of an Amazon EKS cluster using Infrastructure as Code (IaC) tools like Terraform. It simplifies deploying and managing containerized applications on AWS, ensuring scalability, security, and high availability.

Features:

• Automated EKS Cluster Deployment using Terraform
• Node Group Configuration for scalable worker nodes
• Networking Setup with VPC, Subnets, and Security Groups
• IAM Role & RBAC Configuration for secure access management
• Supports CI/CD Integration for automated deployments

Use Cases:

• Deploying Kubernetes workloads on AWS
• Managing scalable and secure containerized applications
• Learning and implementing EKS best practices

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AMI Automation with Packer

This project automates the creation of Amazon Machine Images (AMI) using Packer. It enables the efficient provisioning of pre-configured, secure, and reusable machine images, reducing deployment time and ensuring consistency across environments.

Features:

• Automated AMI Creation using Packer
• Pre-installed Dependencies & Configurations for faster provisioning
• Infrastructure as Code (IaC) Approach for repeatability
• Optimized & Secure AMIs with best practices

Use Cases:

• Creating customized AMIs for cloud deployments
• Automating server image provisioning for DevOps workflows
• Reducing deployment time with pre-configured environments

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Terraform Infrastructure as Code (IaC)

This project demonstrates Infrastructure as Code (IaC) using Terraform to provision and manage cloud resources efficiently. It automates the deployment of cloud infrastructure, making it scalable, repeatable, and easy to maintain.

Features:

• Automated Infrastructure Provisioning using Terraform
• Modular Approach for reusable configurations
• State Management for tracking infrastructure changes
• Secure and Scalable infrastructure setup
• Supports AWS

Use Cases:

• Deploying cloud resources with minimal manual effort
• Managing infrastructure in a version-controlled manner
• Learning and implementing best practices for Terraform

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IMDB Web Scraping Project

This project is a Python-based web scraper that extracts movie and TV show data from IMDB. It utilizes BeautifulSoup and requests to fetch relevant information, such as movie titles, ratings, genres, and summaries. The scraped data is structured and stored in a readable format, making it useful for data analysis, trend observation, or personal movie recommendations.

Features:

• Extracts movie/TV show details like title, rating, genre, and summary
• Uses BeautifulSoup for parsing HTML content
• Stores data in a structured format (CSV/JSON)
• It can be extended to scrape additional details such as cast, director, and release date

Use Cases:

• Analyzing movie trends and ratings
• Creating personal watchlists based on IMDB data
• Experimenting with web scraping techniques for learning and automation

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