Building production-inspired cloud projects through hands-on deployment and troubleshooting.
About β’ Cloud Stack β’ Projects β’ Credentials β’ GitHub Dashboard β’ Connect
name: Nithishkumar K
role: Aspiring Cloud & DevOps Engineer
education: Final-Year B.Tech Information Technology
college: Mahendra Engineering College
location: Tamil Nadu, India
focus:
- AWS Cloud Infrastructure
- Linux Administration
- Containerized Deployments
- Infrastructure as Code
- Cloud Security and Monitoring
status: Actively seeking Cloud/AWS internship opportunities- π Building a Highly Available 3-Tier Web Application on AWS
- π§ͺ Learning through deployments, failures, troubleshooting and documentation
- π οΈ Hands-on with IAM, EC2, S3, VPC, ALB, Auto Scaling, RDS and CloudWatch
- π¦ Deployed workloads using Linux, Nginx, Docker and CloudFormation
- π Interested in cloud security, reliable infrastructure and DevOps automation
- π― Goal: become an industry-ready Cloud/AWS or DevOps Engineer
β‘ My engineering approach
I learn cloud concepts by building the infrastructure, creating a realistic failure, diagnosing the incident and documenting the fix. My repositories focus on practical evidence rather than theory-only learning.
Learn Concept β Deploy β Break β Troubleshoot β Fix β Document β Improve
ποΈ Highly Available 3-Tier Web Application on AWS β In Progress
Production-inspired architecture designed for availability, security and horizontal scaling.
Users β Route 53 β Application Load Balancer β Auto Scaling EC2 β Amazon RDS
Public Subnets Private Subnets DB Subnets
- Multi-AZ VPC with public and private subnet layers
- Application Load Balancer and Auto Scaling architecture
- Private database tier using Amazon RDS
- Security Group chaining between application layers
- IAM, CloudWatch, S3 and production-oriented documentation
Stack: AWS VPC Β· EC2 Β· ALB Β· Auto Scaling Β· RDS Β· IAM Β· CloudWatch
π§± Infrastructure as Code with AWS CloudFormation β Completed
- Reusable YAML template for infrastructure provisioning
- Custom VPC, public subnet, routing and internet connectivity
- IAM role and EC2 instance provisioning
- Automated Nginx installation and deployment verification
π₯οΈ Amazon EC2 + Nginx Web Deployment β Completed
- Linux EC2 deployment with Security Group configuration
- Secure remote administration and Nginx configuration
- Application hosting, service validation and HTTP testing
π³ Dockerized Nginx Web Application β Completed
- Built a reusable Docker image for an Nginx web application
- Configured port mapping, health checks and HTTP verification
- Documented the complete container build and runtime workflow
| Project | Focus | Status |
|---|---|---|
| Amazon S3 Static Website Hosting | S3 website hosting and bucket access configuration | β Completed |
| Java Cloud Server Health Checker | Java, JSP/Servlet, Tomcat and MySQL CRUD application | β Completed |
| Secure RAG FastAPI Backend | FastAPI, document retrieval and source-grounded responses | π§ In Progress |
| Cloud Portfolio | AWS-console-inspired personal portfolio | π§ In Progress |
π‘οΈ Production principles I practise
- Apply least-privilege access instead of broad permissions
- Keep application and database workloads in private network tiers
- Design across Availability Zones where the workload requires resilience
- Monitor system health and document deployment evidence
- Use reusable infrastructure definitions instead of repeated manual setup
π View verified learning credentials
| Credential | Issuer | Evidence |
|---|---|---|
| AWS Cloud Quest: Cloud Practitioner | AWS | Verify |
| AWS SimuLearn: Cloud Practitioner | AWS | Verify |
| AWS Educate Introduction to Cloud 101 | AWS | Verify |
| AWS Educate Getting Started with Security | AWS | Verify |
| Oracle Database for Developers: Foundation | Oracle | Completed |
| Human Computer Interaction β Elite + Gold | NPTEL | Completed |
- Complete and document the highly available AWS 3-tier project
- Build Terraform-based AWS infrastructure
- Create a practical CI/CD deployment pipeline
- Strengthen Linux troubleshooting and Python automation
- Learn Kubernetes after strong Docker and CI/CD foundations
- Earn a realistic Cloud/AWS internship or entry-level opportunity
