Technical assignment: Deploy application.

1. Task Objectives

Ensure the deployment of the application considering the following requirements:

• High availability and performance.
• Ease of management and scalability (as load increases).
• Ability to operate as a web interface for users.

2. Platform Requirements

• Platforms to choose from:

  • Heroku: suitable for quick deployment.
  • VPS: using platforms like DigitalOcean, AWS, Linode, or similar.
  • Other options proposed by the contractor, considering budget and requirements.

• Specify the pros and cons of the chosen approach.

• The platform must support:

  • Python.
  • Django
  • Dependency installation via requirements.txt.
  • Use of ML libraries (TensorFlow, scikit-learn, etc.).

3. Task Execution Stages

1. Infrastructure Preparation:

   • For Heroku:
     • Configure Procfile.
     • The code is already uploaded to GitHub and linked to the project.
     • Set up deployment.
   • For VPS:
     • Set up the server (Ubuntu is installed with the CloudPanel graphical interface).
     • Ensure the application starts automatically.

2. Application Deployment:

   • Deploy the application.
   • Ensure that the application is running and accessible at the specified address.

3. Testing:

   • Conduct testing of all main functions.
   • Check logging and monitoring.

4. Documentation and Handover:

   • Provide instructions for application support.
   • Ensure instructions for updating and deploying new code.

4. Functional Requirements

• Access to the web interface of the application via URL.
• Fast system response (<1 sec per prediction).
• Error and activity logging.

5. Security Requirements

• HTTPS protocol.

6. Acceptance Criteria

• The application is successfully deployed and available for testing.
• Functional testing is completed.
• Basic documentation is provided.

7. Deadlines

• Specify a specific deadline for task completion (the sooner, the better).