Hands-on cloud and systems projects focused on Azure, AWS, Linux, Terraform, Kubernetes, monitoring, CI/CD and real-world deployment scenarios. Each lab documents the technical goal, architecture, implementation steps and lessons learned.
A curated set of infrastructure experiments built to demonstrate practical cloud administration, deployment logic, troubleshooting and documentation.
Terraform-based Azure infrastructure project provisioning a Linux VM with networking, NSG rules and Nginx web server deployment. Focused on repeatable infrastructure, clean resource structure and practical cloud deployment.
Azure VM monitoring and alerting system using Log Analytics, KQL and Azure Monitor. Built to demonstrate operational visibility, alert rules and basic production-style monitoring workflows.
Production-ready CI/CD pipeline with GitHub Actions, Docker, Azure Container Apps and real-world RBAC permission debugging. Focused on automated deployment and cloud troubleshooting.
Static website deployment using Azure Storage Static Website hosting, blob storage and cloud architecture documentation. Demonstrates simple cloud hosting and resource configuration.
Hands-on Kubernetes lab demonstrating core concepts such as Pods, Deployments, Services and container orchestration. Focused on fundamentals and practical command-line workflow.
Azure Linux VM lab with automated Nginx deployment using cloud-init. Demonstrates repeatable provisioning, startup automation and basic web server deployment.
Azure infrastructure lab demonstrating Linux VM deployment, Nginx setup, networking configuration and secure SSH access. Built as a practical foundation for cloud infrastructure work.
AWS infrastructure lab deploying an Auto Scaling Group behind an Application Load Balancer to demonstrate scalable cloud architecture, high availability and load-balanced deployment.
Basic AWS infrastructure project using Terraform to provision an EC2 instance and demonstrate Infrastructure as Code principles, cloud resources and repeatable deployment logic.
These labs are not presented only as code repositories. They are structured as technical documentation pieces that show how I approach systems work: defining the goal, building the environment, testing deployment behavior, documenting problems and turning troubleshooting into reusable knowledge.