Hi, I’m Madhuran K

Cloud Computing Trainee — Besant Technologies, Bengaluru

Jun 2025 – Present

• Managed AWS EC2 instances, S3 buckets, and IAM policies
• Practiced Linux system ops, user management, scripting
• Configured VPCs & routing for isolated networks
• Built CI/CD pipelines with Git, Jenkins, Docker
• Automated cloud tasks using Ansible & Python
• Learned Azure VNets and cloud basics

"[DevOps] Automated Cloud-Native CI/CD Pipeline for Scalable Web Applications"

Implemented a fully automated cloud-native CI/CD pipeline using GitHub, Jenkins, Docker, Kubernetes, and AWS to deliver scalable, reliable, and repeatable application deployments.

• Implemented event-driven CI/CD using GitHub Webhooks to trigger Jenkins pipelines on every code commit
• Used Jenkinsfile (Pipeline as Code) to automatically build Docker images from Dockerfile present in the source repository
• Deployed workloads on Kubernetes with rolling updates and self-healing capabilities
• Provisioned and configured AWS infrastructure including EC2, IAM, VPC, and Security Groups
• Integrated Prometheus and Grafana for real-time monitoring, dashboards

Outcome: Reduced manual deployment effort, improved release consistency, and enhanced application reliability.

“Scalable Web App Deployment on AWS using Terraform, Jenkins & Ansible (CI/CD + IaC)”

Implemented a fully automated deployment pipeline integrating CI/CD and Infrastructure as Code to provision AWS services and deploy a Java web application seamlessly.

• Used GitHub for version control and triggered Jenkins on EC2-Server-1 to pull source code and build a WAR artifact
• Executed Terraform from EC2-Server-1 to provision AWS infrastructure — VPC, subnets, EC2 instances, Load Balancer, and Security Groups
• Configured EC2-Server-2 as an Ansible control node and transferred the WAR output from Jenkins
• Ran Ansible playbooks from EC2-Server-2 to configure provisioned EC2 instances and deploy the application automatically
• Delivered an end-to-end CI/CD flow achieving automated build, infra provisioning, configuration, and deployment with minimal manual intervention

Outcome: Delivered an automated CI/CD and IaC workflow that reduced manual setup time, ensured reliable environment provisioning, and enabled faster cloud deployments.

“AWS 3-Tier Architecture Implementation Project”

Designed and deployed a 3-Tier Web Application Architecture on Amazon Web Services (AWS) to improve scalability, security, and availability.

• Configured VPC with public and private subnets across multiple Availability Zones
• Deployed EC2 instances for web and application tiers with Auto Scaling Groups and an Application Load Balancer (ALB)
• Implemented Bastion Host and NAT Gateway for secure administrative access and outbound connectivity
• Integrated Amazon RDS (Master–Slave configuration) for database replication and high availability
• Optimized communication between tiers for cost and performance

Outcome: Improved scalability, ensured high availability across AZs, and strengthened security with layered network design.

“AWS Cloud Automation Project using Python (Boto3) and Linux”

Developed an AWS automation solution using Python (Boto3 SDK) to streamline S3 operations and reduce manual intervention.

• Automated object creation and data upload to Amazon S3 buckets
• Used IAM credentials and handled ClientError and NoCredentialsError
• Configured region-specific sessions and profiles for flexible deployment
• Improved cloud storage efficiency and reliability
• Implemented automation scripts on Linux for seamless integration

Outcome: Reduced manual S3 operations, improved storage efficiency, and delivered repeatable cloud automation using Python and Linux.