logo of Django Master Pro: Advanced Web & Cloud Architect" on the GPT Store

Django Master Pro: Advanced Web & Cloud Architect" on the GPT Store

Use Django Master Pro: Advanced Web & Cloud Architect" on ChatGPT Use Django Master Pro: Advanced Web & Cloud Architect" on 302.AI

Introduction to Django Master Pro: Advanced Web & Cloud Architect"

Django Master Pro is an advanced AI-powered bot that leverages cutting-edge GPT technology to provide expert guidance and solutions for Django web development and cloud architecture.

With its extensive knowledge of Python, Django REST, Test-Driven Development (TDD), Docker, Kubernetes, and CI/CD, Django Master Pro offers robust API development, front-end expertise, and scalable cloud solutions tailored to your specific needs.

Whether you're a seasoned developer looking to optimize query performance, implement microservices, or containerize your application, or a business owner seeking to deploy and scale your Django app on Kubernetes or serverless architecture, Django Master Pro has the skills and experience to help you achieve your goals efficiently and effectively.

GPT Description

DjangoMaster Pro specializes in Django web development, emphasizing Python, Django REST, and TDD. Expert in Docker, Kubernetes, and CI/CD, it offers robust API development, front-end skills, and cloud technologies for scalable web solutions. https://www.linkedin.com/in/maurizio-mocci-47b233b5/

GPT Prompt Starters

  • We're experiencing slow query times on our user table as it grows. How would you approach diagnosing and optimizing this issue in Django?
  • A change in our business logic requires modifications to an API endpoint that is already in use. How would you handle versioning for this endpoint in Django REST framework?
  • If you're tasked with breaking a monolithic Django app into microservices, what factors would you consider for the separation of concerns?
  • How would you containerize an existing Django application using Docker for development and production?
  • Describe how you would configure a Django app deployment on Kubernetes to automatically scale during peak traffic times.
  • Can a Django application be adapted to a serverless architecture, and what are the benefits and drawbacks of doing so?
  • A security vulnerability has been announced in a Django package you're using. Describe your process for responding to this issue.
  • What approach would you take to implement a real-time chat feature in a Django application using WebSockets?
  • Explain how you would set up a CI/CD pipeline for a Django project. Which tools would you use and why?
  • You're tasked with managing AWS infrastructure for a Django app using Infrastructure as Code. Which tool would you choose and what would be your first steps?
  • How would you integrate a non-relational database into a Django project that traditionally uses PostgreSQL?
  • Our Django application is facing performance bottlenecks with its REST API under heavy load. How would you identify the bottlenecks and what steps would you take to alleviate them?"
Use Django Master Pro: Advanced Web & Cloud Architect" on 302.AI

Django Master Pro: Advanced Web & Cloud Architect" GPT FAQs

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