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Modernized a Global WorkTech Platform with a Python Django Version Upgrade, AI-Assisted Migration, and Near-Zero-Downtime Deployment

Software & Hi-Tech
Posted On: 26 August, 2026

About the Client

  • The client is a global worktech company providing a unified platform for workplace, facility, and asset management.
  • Its solutions span space and visitor management, enterprise asset management, and AI-driven operational intelligence while serving across various industries.

Business Needs | Addressing Django Vulnerabilities and Python Environment Inconsistencies

The client was looking to upgrade Django and standardize the Python environment to address critical security, compliance, and delivery risks. The key requirements included:

  • Upgrading Django to remediate critical security vulnerabilities (SQL injection and DoS CVEs) present in version 4.2.17.
  • Migrating off Django 4.2 before its end-of-life to continue receiving security patches and support.
  • Standardizing Python versions across all environments to eliminate environment-specific bugs and deployment failures.
  • Resolving dependency compatibility issues to remove friction and delays in the development and release pipeline.
  • Maintaining compliance with security and data-protection requirements applicable to regulated sectors by staying on a supported, secure framework version.

Solutions| Secured Django Migration with Standardized Runtime Environments

To address these business needs, Cybage implemented the following solutions:

  • Upgraded the platform to Python 3.10.16 and Django 5.2.10 LTS for a secure, supported foundation.
  • Standardized runtime environments across development, staging, and production.
  • Modernized container infrastructure with Ubuntu 22.04, Redis 7.1.0, and EventMQ v2.0.0.
  • Leveraged AI-assisted code migration development to accelerate code updates, dependency resolution, and testing.
  • Adopted a near-zero-downtime deployment strategy with rollback capability.

Business Impact| Reduced Engineering Effort and Resolved Vulnerabilities 

  • 12–22% improvement across key performance metrics, including a 12.5% reduction in response times.
  • 70% reduction in engineering effort, from 144 to 44 hours, drove approximately $10,000 in cost savings.
  • 19 vulnerabilities resolved, including full remediation of the critical Django CVEs, strengthened the platform’s security posture.
  • Test coverage increased from 65% (before) to 82% (after), improving overall code quality and reliability.
  • Under 5 minutes of downtime and zero critical bugs during the first 48 hours marked a smooth production deployment.
  • Established a secure, supported foundation with Django LTS and a defined roadmap for future upgrades.

Technology Stack

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Modernized a Global WorkTech Platform with a Python Django Version Upgrade, AI-Assisted Migration, and Near-Zero-Downtime Deployment _Techstack
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