Python in Production: A Comprehensive Guide to Deploying and Managing Python Web Applications: VPS, Containers, Kubernetes, PaaS, Docker, CI/CD, Cloud

Publishing, Pythquill

ISBN 13: 9798289366733
Edité par Independently published, 2025
Neuf(s) Couverture souple

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Synopsis :

What You Will Learn in This Book

  • Master the deployment lifecycle: Understand the entire journey of a web application from local development to being live in production environments.
  • Prepare applications for production: Get your Python application ready for prime time with best practices for code structure, configuration, dependency management, logging, and serving static files.
  • Utilize essential tools: Leverage fundamental development tools like Git for version control and various task runners to streamline your daily workflow.
  • Choose and configure WSGI/ASGI servers: Make informed decisions and properly set up Gunicorn, uWSGI, Uvicorn, and Daphne for optimal application performance and stability.
  • Grasp Docker fundamentals: Understand the core concepts of containerization and Docker and effectively Dockerize your Python web applications.
  • Orchestrate with Docker Compose: Seamlessly manage multi-container development environments for your applications, including databases and caches.
  • Deploy to Virtual Private Servers (VPS): Learn the ins and outs of traditional server deployment, including server setup, hardening, reverse proxy configuration with Nginx, and process management.
  • Deploy to Platform as a Service (PaaS): Discover how to efficiently deploy Python applications to services like Heroku, AWS Elastic Beanstalk, and Google App Engine.
  • Transition Docker to production: Successfully move your Dockerized applications from development to live production environments, including using container registries.
  • Introduce Kubernetes for Python apps: Get a solid foundation in Kubernetes core concepts and learn how to deploy, manage, and scale your Python applications within a cluster.
  • Explore serverless deployment (FaaS): Understand and implement event-driven architectures using serverless functions with AWS Lambda, Google Cloud Functions, and Azure Functions.
  • Implement CI/CD pipelines: Automate your development and deployment processes with Continuous Integration and Continuous Deployment, using tools like GitHub Actions and GitLab CI/CD.
  • Establish monitoring and alerting: Set up robust systems to track application and system health, identify issues proactively, and ensure continuous operation.
  • Strategically scale your application: Learn techniques for vertical and horizontal scaling, including load balancing, autoscaling, and database optimization.
  • Apply security best practices: Implement crucial security measures throughout your deployment, from HTTPS and server hardening to dependency auditing and disaster recovery planning.
  • Manage production databases effectively: Learn how to handle database migrations, backups, restores, and performance tuning in a production setting.
  • Automate infrastructure with IaC: Utilize Infrastructure as Code (IaC) tools like Terraform to provision and manage your deployment resources reproducibly.
  • Dive into advanced Kubernetes: Explore more complex Kubernetes concepts such as Helm charts, StatefulSets, and service meshes for sophisticated deployments.
  • Understand microservices deployment: Gain insights into the unique considerations and patterns for deploying Python-based microservices.
  • Stay current with future trends: Keep up-to-date with emerging technologies and best practices in Python web deployment.
  • Troubleshoot common issues: Effectively diagnose and resolve common deployment problems, leveraging provided resources for ongoing learning.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Détails bibliographiques

Titre : Python in Production: A Comprehensive Guide ...
Éditeur : Independently published
Date d'édition : 2025
Reliure : Couverture souple
Etat : New

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Publishing, PythQuill
Edité par Independently published, 2025
ISBN 13 : 9798289366733
Neuf Couverture souple
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