STEP 01
Infrastructure as Code
IaC
Terraform
AWS EC2
Security GroupsRDS PostgreSQL
$ terraform init
✓ providers initialized
$ terraform apply
✓ VPC, EC2, RDS provisioned
✓ network security configured
Focused on CI/CD, cloud automation, containerization, and deployment optimization
Automating infrastructure, deployments, and workflows for scalable and reliable systems
Flexible across time zones for seamless collaboration in global DevOps teams
AWS, Docker, Kubernetes, Jenkins, Terraform, GitHub Actions, Linux, Ansible
DevOps Tools & Technologies
Building secure, efficient, and production-ready systems
Passionate about cloud infrastructure, automation, and scalable deployments
Automating software delivery with GitHub Actions and DevOps best practices
Building reusable CI/CD workflows for faster and consistent deployments
Let’s build scalable, automated, and reliable deployment pipelines
Looking for a DevOps Engineer?
Real-World DevOps Implementations
Production-Ready Kubernetes Microservices Deployment on AWS EKS
A production-grade Kubernetes-based microservices platform deployed on AWS using GitOps and Infrastructure-as-Code (IaC) principles.
• Provisioned AWS EKS cluster using Terraform with VPC, public/private subnets, and managed node groups
• Deployed microservices using Helm charts with rolling updates and rollback support
• Implemented GitOps workflow using Argo CD for automated and declarative deployments from GitHub
• Configured Horizontal Pod Autoscaler (HPA) for dynamic scaling based on CPU utilization
• Integrated Prometheus and Grafana for monitoring, logging, and observability
Automated CI/CD Pipeline using Jenkins, Docker & Terraform
A fully automated CI/CD pipeline with infrastructure provisioning, application deployment, and integrated code quality checks using DevOps tools.
• Built CI/CD pipeline using Jenkins for build, test, and deployment automation
• Provisioned AWS infrastructure (VPC, EC2, RDS, S3, IAM) using Terraform (Infrastructure-as-Code)
• Containerized applications using Docker for consistent and portable deployments
• Integrated SonarQube for static code analysis and code quality enforcement
• Automated deployment workflow using Ansible, reducing manual intervention and improving reliability
My work experience
End-to-End DevOps Automation Pipeline
Live DevOps Flow
My Approach to DevOps Automation
Building scalable cloud-native DevOps infrastructure using Terraform, AWS, Docker, CI/CD, and observability for secure and automated production deployments.
Security GroupsSTEP 02
CI/CD Automation
CI/CD
Code Push
Build
Test
DeployBuild Status
Success
Deploy Time
2m 14s
Pipeline
Automated
STEP 03
Monitoring & Observability
Observability
Monitoring
Metrics
Containers
Health CheckDeployment Time2m 14s
InfrastructureAWS + Docker
PipelineAutomated
[monitoring] cpu usage normal
[database] postgresql healthy
[containers] all services running
[alerts] no failures detected
Real-World DevOps Architecture
Terraform Infrastructure
Provisioned AWS infrastructure (EC2, VPC, RDS, Security Groups) using Infrastructure as Code for scalable and repeatable deployments.
Dockerized Applications
Containerized backend services using Docker for reproducible and scalable deployments.
CI/CD Automation
Automated build, testing, and deployment pipelines using Jenkins and GitHub Actions.
Reverse Proxy Setup
Configured Nginx reverse proxy for secure routing and traffic management.
Monitoring & Reliability
Implemented monitoring, health checks, and observability to ensure production reliability.
Cloud Deployment
Managed complete deployment lifecycle on AWS with automated provisioning and release workflows.