Nitorum: Django Application Modernisation on Amazon EC2 Case Study

Python and AWS Graviton upgrade delivering 40% lower compute costs and 35% faster response times.

Background

The Challenge

  • Outdated Django stack and Python version leading to security and compatibility issues
  • Deprecated MySQL database causing instability and performance problems
  • Lack of CI/CD pipelines and standardised testing increased deployment risks
  • Manual scaling and infrastructure drift added operational overhead
  • Inefficient tooling and workflows reduced developer productivity

Our Solution

  • Migration to Python 3.11, Django 4.2.14, and MySQL 8
  • Deployment on AWS Graviton2/Graviton3-based Amazon EC2 instances
  • Use of Application Load Balancer (ALB) and Auto Scaling groups
  • End-to-end automation and security using GitHub Actions, AWS CodeDeploy, AWS CloudFormation, AWS WAF, AWS Secrets Manager, Amazon Inspector, and AWS Certificate Manager
  • Optimised performance and observability with Amazon RDS, Amazon S3, Amazon ElastiCache, Amazon CloudWatch, and AWS X-Ray

The Result

The Rambunct architecture enabled blue-green deployments, secure secrets management, observability, and scalable, resilient infrastructure.
  • 35% improvement in response time due to Python and Django upgrades
  • 40% reduction in compute costs by leveraging AWS Graviton processors
  • 90% faster deployment cycles via automated CI/CD workflows
  • 95% code coverage achieved with integrated test automation
  • Improved performance and reliability with 60% faster MySQL queries, 99.9% uptime, and zero-downtime deployments via a blue-green strategy
  • Significant operational efficiency with a 75% reduction in manual infrastructure tasks through automation and autoscaling
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