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Talk Python in Production

3 days ago
https://talkpython.fm/books/python-in-production
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  • #Infrastructure Management
  • #Python Deployment
  • #Docker
  • Talk Python in Production is a hands-on guide for Python developers focusing on real-world deployment and infrastructure management.
  • The book promotes a 'stack-native' approach, an alternative to 'cloud-native', emphasizing running apps on a single powerful server using Docker Compose to reduce complexity and cost.
  • Readers will learn to containerize Python apps, secure them with NGINX, utilize CDNs for performance, and manage everything on one server without sacrificing reliability.
  • The book includes practical examples, cost-saving tips, and step-by-step tutorials, with 1 hour and 20 minutes of chapter-specific conversations.
  • It covers Docker, NGINX, and other tools progressively, with real-world examples, but assumes some comfort with Linux terminals and basic web deployment concepts.
  • Security best practices are integrated throughout, including automated deployments, container orchestration, and cost optimization.
  • The book details how Talk Python transitioned from PythonAnywhere to dedicated Linux VMs, then to a single powerful server with Docker for better performance and cost efficiency.
  • Granian, a Rust-based HTTP server, is introduced for improved performance over legacy options like uWSGI.
  • Self-hosting with Docker Compose allows integrating open-source analytics and monitoring tools like Umami and Uptime Kuma.
  • Practical Docker optimizations are covered, such as layer caching and using .dockerignore for faster builds.
  • NGINX is used for HTTPS routing, SSL automation with Let’s Encrypt, and multi-domain setups.
  • Bunny.net CDN is utilized for global content delivery, reducing latency and server load.
  • The book provides a step-by-step guide to setting up a production environment on a Linux cloud server, including deployment scripting.
  • It explores blending static site generators like Hugo with Python web stacks and migrating from Pyramid to Quart for better performance.
  • The benefits of self-hosting and developing custom platforms are discussed, along with the migration from DigitalOcean to Hetzner for cost savings and performance.
  • The 'stack-native' philosophy is summarized, advocating for simplicity, flexibility, and cost-effective ownership without cloud-native complexity.
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