I design production-grade AWS architectures using Terraform, Docker, Kubernetes & Serverless to deliver high-performance systems.
99.9% uptime this month
Monitoring powered by CloudWatch • Last updated: 7:24:28 PM
I'm an MCA (Cloud Computing) student focused on building real-world cloud infrastructure on AWS.
I specialize in designing highly available systems, automating infrastructure with Terraform, and deploying containerized workloads using Docker & Kubernetes.
My goal is to work as an AWS Cloud Engineer / DevOps Engineer and build reliable systems that scale to millions of users.
Core technologies and expertise
Building expertise through official AWS certification path
Target: Q2 2026
Target: Q3 2026
Target: Q4 2026
🎯 Following the official AWS certification roadmap for Cloud Engineers
Cloud infrastructure and automation solutions
Automated image resizing system using S3 triggers and AWS Lambda with cost-optimized architecture. Handles 10k+ images/day with secure IAM roles.
Architecture:
User → S3 Upload → Lambda Trigger → Image Processing → Optimized S3 → CloudFront CDN
Distributed backend with independent scalable services orchestrated via Kubernetes. Multi-AZ deployment with auto-scaling and load balancing.
Architecture:
API Gateway → Microservices (User/Product/Order) → K8s Pods → MongoDB Cluster
Reusable Terraform modules for provisioning secure multi-AZ VPC architectures with public/private subnets, NAT gateways, and security groups.
Architecture:
Multi-AZ VPC → Public/Private Subnets → NAT Gateway → Internet Gateway → Route Tables
Sharing knowledge about cloud architecture and DevOps
Learn how to create a cost-effective, scalable image processing system using AWS Lambda, S3, and CloudFront. Complete with architecture diagrams and code examples.
Step-by-step guide to deploying a Next.js application on AWS using S3 for static hosting and CloudFront for global CDN distribution with HTTPS.
More articles coming soon! Follow my journey in cloud engineering.
Production-grade cloud solutions that scale
Multi-AZ deployments with auto-scaling, load balancing, and disaster recovery
Automated deployment workflows with GitHub Actions, CodePipeline, and Jenkins
Right-sizing instances, Reserved Instances, Spot Instances, and resource tagging
Least-privilege access, MFA enforcement, and security best practices
CloudWatch dashboards, alarms, log aggregation, and performance metrics
Scalable architectures handling millions of requests with 99.9%+ uptime
Ready to build reliable, scalable cloud infrastructure?
Let's Talk