Avinash Wagh

Step-by-step walkthrough of building and deploying a Dockerized Flask message board app with MySQL on an AWS EC2 instance, including Docker networking and deployment notes.

Explains Docker volumes for persistent storage, Docker Compose for multi-container orchestration, and Docker registries for image management — focused on practical cloud readiness.

Technical learning post documenting Linux networking commands, security tools, and API debugging practices used by cloud and DevOps engineers.

Introduction: This post documents a practical, end-to-end deployment of a Flask web application containerized with Docker and hosted on an AWS EC2 instance, with a MySQL backend — written to help recruiters and hiring managers understand real-world DevOps delivery. Technologies used: Python Flask, Docker, MySQL, AWS EC2, Docker Compose, Docker networking Key implementations: - Containerized the Flask application and MySQL using Docker images and Docker Compose for local orchestration. - Configured Docker networking to allow secure communication between app and database containers. - Provisioned an AWS EC2 instance, installed Docker, and deployed containers using Compose and production-ready settings. - Implemented environment variable management and persistent storage using Docker volumes for MySQL data. Learning outcome: Gained hands-on experience in moving a containerized application from local development to a cloud VM, addressing networking, persistence, and deployment concerns; repository available on my GitHub: https://github.com/Avinash8600/containerized-flask-message-app I am open to DevOps / Cloud Engineer roles

Introduction: This write-up outlines deploying CloudCanvas Editor to a local Kubernetes-in-Docker (Kind) cluster hosted on an AWS EC2 instance, focusing on orchestration patterns and exposing services for cloud environments. Technologies used: Docker, Kubernetes (Kind), AWS EC2, Firebase, kubectl, NodePort Key implementations: - Containerized application components and configured Kubernetes manifests for Deployment, ReplicaSet, Namespace, and Service. - Deployed a Kind cluster on an EC2 host and applied YAML manifests to manage pods and scaling via ReplicaSets. - Exposed the application using a NodePort service for external access and integrated Firebase as the application backend. - Implemented namespace segmentation and basic resource configuration to mirror production orchestration patterns. Learning outcome: Developed a practical understanding of Kubernetes resource configuration, cluster lifecycle on cloud-hosted VMs, and service exposure strategies; see my GitHub for more: https://github.com/Avinash8600 I am open to DevOps / Cloud Engineer roles