Overview

Dive into the world of scalable Python applications with ""Python Scalable Applications Mastery: 70 Docker and Kubernetes Projects for Building Containerized Orchestration, Volumes, and CI/CD Pipelines."" This comprehensive guide is designed for developers, DevOps engineers, and cloud enthusiasts who want to harness the power of containerization and orchestration to build robust, efficient systems. Through 70 practical, step-by-step projects, you'll explore essential concepts and advanced techniques. Start with Docker fundamentals: creating images, managing containers, and handling data persistence with volumes. Progress to Kubernetes mastery, learning to deploy pods, services, and stateful applications in clustered environments. Discover orchestration strategies for scaling, load balancing, and self-healing systems. The book delves into CI/CD pipelines using tools like Jenkins, GitHub Actions, and ArgoCD integrated with Python workflows. You'll tackle real-world scenarios such as multi-container apps, secret management, monitoring with Prometheus, and deploying to cloud platforms like AWS EKS or Google Kubernetes Engine. Each project includes code snippets, diagrams, and troubleshooting tips to ensure you gain hands-on experience. Whether you're optimizing microservices, automating deployments, or ensuring high availability, this resource empowers you to create production-ready, scalable Python applications. Key topics covered: Docker basics: Building, running, and networking containers. Kubernetes essentials: Pods, deployments, replicas, and namespaces. Volume management: Persistent storage, ConfigMaps, and Secrets. CI/CD integration: Automated testing, building, and deployment pipelines. Advanced orchestration: Helm charts, operators, and service meshes.

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