Cloud & DevOps
Automated Deployment & Infrastructure Management
Infrastructure & Deployment
2 min read
March 2026
Introduction
Modern applications require reliable, automated deployment pipelines and cloud infrastructure. I've containerized applications with Docker, orchestrated them with Kubernetes, and automated CI/CD pipelines. This ensures applications are scalable, reliable, and can handle production workloads.
Key Learnings
Containerization
Learned to package applications in Docker containers for consistent deployment across development, staging, and production environments.
Orchestration
Learned to manage containerized applications at scale with Kubernetes for high availability and automatic scaling.
CI/CD Pipelines
Learned to automate testing, building, and deployment using GitHub Actions for rapid and reliable releases.
Cloud Services
Learned to leverage AWS services for computing, storage, and managed databases for scalable infrastructure.
Tools & Technologies
Docker
Learned Container runtime for packaging applications with dependencies for consistent deployment.
Kubernetes
Learned Container orchestration platform for managing containerized applications at scale.
GitHub Actions
Learned CI/CD platform integrated with GitHub for automated testing and deployment workflows.
AWS
Learned Cloud computing services including EC2, S3, and Lambda for scalable infrastructure through coursera.
Docker Compose
Learned multi-container orchestration tool for local development and simple deployments.
How I Used This in Projects
→RentRide - Containerized Deployment
Containerized the RentRide application and deployed services on Kubernetes. Implemented GitHub Actions pipelines for build and deployment and ensured scaling and monitoring readiness.
→DockLens-npm package for Docker Management
hat analyses Docker files to identify built inefficiencies and security risks.
Skills & Tags
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