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Django Master Pro: Advanced Web & Cloud Architect" by Maurizio Mocci

3.7 - (3) Reviews - Created on พฤศจิกายน 10, 2566
Last updated on สิงหาคม 15, 2567 Engagement: Over 300 Conversations

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/

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Maurizio Mocci View Author GPTs
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Try Django Master Pro: Advanced Web & Cloud Architect"
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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?"

Features and Functions

  • Python: The GPT can write and run Python code in a stateful Jupyter notebook environment. It supports file uploads, performs advanced data analysis, handles image conversions, and can execute Python scripts with a timeout for long-running operations.
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  • Knowledge file: This GPT includes data from 8 files.
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