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Modernizing IoT Backend Infrastructure for Scalable Agricultural Solutions

verytechnology.com

Agriculture

Manufacturing

Current Challenges in IoT Infrastructure

The client faces backend integration issues between IoT devices and cloud controllers, causing frequent downtime and manual code rollbacks. Their monolithic architecture and lack of automated deployment processes hinder efficient feature development and scalability, risking customer disruption and operational inefficiencies.

About the Client

Innovative agricultural manufacturer specializing in IoT-enabled fertilizer and chemical delivery systems

Key Project Goals

Establish a CI/CD pipeline for automated code testing and deployment
Containerize backend services for environment consistency
Restructure monolithic architecture into resilient microservices
Implement staging environments for pre-production testing
Document processes for sustainable team knowledge transfer

Core System Requirements

Automated CI pipeline for Docker container builds
Containerized API services with environment parity
Staging environment replication of production
Isolated managed database and cache instances
Infrastructure-as-Code (IaC) orchestration with Terraform

Technology Stack

Django

Docker

Terraform

DigitalOcean

System Integrations

IoT device controllers
Cloud monitoring services

Non-Functional Requirements

High availability with minimal downtime
Scalable infrastructure for future growth
Secure containerized deployment practices
Performance-optimized API communication

Expected Business Outcomes

Enables 50% faster code deployments with reduced rollback incidents, eliminates production cascading failures through service isolation, and establishes foundation for future Kubernetes adoption. Documentation and training ensure long-term team self-sufficiency in DevOps practices.