Technologies Involved:
DJANGO
Area Of Work: Machine Learning
Project Description

A data analytics firm focusing on crime trend analysis approached Oodles to simplify deployment for its microservice-based backend. The client needed a modular setup for Django services, ensuring smooth development onboarding and environment consistency. The solution included environment setup, secure configuration, and microservice alignment for rapid scaling.

Scope Of Work

The project aimed to standardize backend deployment for multiple Django microservices handling crime data analytics. The client required seamless virtual environment setup, efficient database configuration, and consistent local deployment processes. The scope covered microservice orchestration, backend environment setup, and database integration with PostgreSQL.

Our Solution

To meet the client’s deployment and setup challenges, Oodles delivered a structured backend configuration approach for each Django-based microservice in the Oasis project. 

Key Implementations:

  • Independent Microservice Deployment: Each Django service runs on its own port with an isolated configuration, improving modularity.
  • Virtual Environment Integration: Developers created clean Python environments using virtualenv to avoid dependency conflicts.
  • Environment Configuration via .env: A secure, centralized setup allowed developers to easily manage environment variables and database credentials.
  • PostgreSQL Database Configuration: Integrated a reliable PostgreSQL setup with Django using native packages for smooth data handling.

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