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HP Framework migration

This IT project is part of our digitalization and optimization of our customers’ IT landscape. Through targeted measures, we promote technological progress, optimize cross-system processes and create a sustainable basis for future developments. Our IT reference projects serve as a basis for orientation. They support the reusability of tried and tested concepts as part of project implementation.

Project duration: 5 months

Brief description

PTA is modernizing and migrating an existing PHP application from the Zend Framework to the Laminas Framework for a personnel services provider. The project includes the design and implementation of a modular architecture based on PHP 8.2, with clearly separated feature modules, automated testing, and CI/CD pipelines. By leveraging modern technologies such as Docker, Redis, and Elasticsearch, the application achieves significantly improved performance, scalability, and release cycles.

Supplement

PTA is responsible for the technical analysis and planning of the migration to PHP 8.2 and the Laminas Framework. It defines module-based feature components, introduces automated tests with PHPUnit, and establishes CI/CD pipelines in Azure DevOps. Docker containers for both production and test environments are configured and deployed via Azure Container Instances. A robust caching layer (Opcache, Redis) and the integration of Elasticsearch significantly reduce load and search times. Tight, bi-weekly sprint cycles ensure agile delivery and a high level of transparency.

Subject description

PTA carries out a modular migration from the Zend Framework to the Laminas Framework, establishing a future-proof architecture with clearly separated feature modules. By consistently applying PSR standards and using Composer-based dependency management, maintainability is significantly improved. An optimized data connection and a robust caching layer (Opcache, Redis) drastically reduce loading times. Complex form processes are refactored and standardized using the Laminas Form component. The integration of Elasticsearch enables high-performance full-text and filtered queries across large pools of candidates and job listings. These measures result in faster releases, increased system stability, and enhanced scalability.

IT project data

Project period01.10.2024 - 28.02.2025

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