Welcome to DockerVerse! 🌊 This repository serves as my personal containerized playground, where I experiment with the capabilities of Docker to effortlessly build, deploy, and scale applications. Every project within DockerVerse delves into different aspects of containerization, networking, storage, and orchestration, providing hands-on experience with real-world DevOps practices.
From resource optimization to microservices deployment and database integration, each project here contributes to advancing my expertise in cloud-native technologies.
🔹 Goal: Start the journey by running the simplest container: "Hello World."
🔹 Focus Areas: Key Docker commands, image execution, and container lifecycle understanding.
🔹 Goal: Set up a self-contained environment for developing interactive data visualizations using Streamlit.
🔹 Focus Areas: Web app deployment, enhancing UI interactivity, and efficient container management.
🔹 Goal: Build and deploy a Titanic survival prediction app powered by ML models, running in a Docker container using Streamlit.
🔹 Focus Areas: ML model serving, real-time UI responsiveness, and deployment strategies for cloud environments.
🔹 Goal: Implement MySQL in a container for quick, reliable, and persistent database operations.
🔹 Focus Areas: Ensuring data integrity, service networking, and security best practices.
🔹 Goal: Implement volume persistence to ensure critical data remains secure and intact.
🔹 Focus Areas: Optimized data storage, automated backups, and volume performance tuning.
🔹 Goal: Master Docker’s bridge network to manage container isolation and inter-container connectivity.
🔹 Focus Areas: Secure multi-container communication, network optimization, and service discovery.
🔹 Goal: Combine Streamlit with PostgreSQL in a containerized setup for efficient database management.
🔹 Focus Areas: Full-stack app deployment, performance optimization for database queries, and cloud readiness.
🔹 Goal: Deploy Evidently AI in Docker to evaluate ML model performance and detect drift.
🔹 Focus Areas: Model observability, diagnostics, and automated analytics.
🔹 Mission: To explore containerized applications, cloud deployment, and DevOps automation for real-world scalability.
🔹 Methodology: Hands-on, modular, production-ready experiments aimed at mastering cloud-native technologies.
🔹 Future Plans: Expanding into Kubernetes, cloud CI/CD, and comprehensive DevOps automation! ☁️
Stay tuned for more groundbreaking container innovations from DockerVerse! ⚡🐳
Authored by Devansh Gaur 🚀