Accelerating Change: Datamatics Enables Global Impact through DevOps Automation

The client is a leading international Children's Emergency Fund responsible for providing humanitarian and developmental aid to children worldwide.

The Challenge: Chasing Stability in Chaos

As the client’s operations evolved to meet ever-changing global demands, their internal digital ecosystem struggled to keep pace. The dynamic nature of their mission required constant enhancements and updates, but the existing development process was weighed down by inefficiencies. Each deployment was time-intensive, and with a growing team of developers working simultaneously, managing code changes became increasingly complex.

The lack of a structured release management process resulted in frequent manual deployments that not only slowed down delivery cycles but also drove up development and maintenance costs. System Integration Testing (SIT) was often delayed, as dependencies and overlaps in development introduced bugs and rework, extending timelines and consuming valuable resources.

To support their mission more effectively, the client wanted to improve and streamline the release management of existing client applications and manage version control with GIT for the code repository. The client also wanted to reduce frequent and manual deployments and expedite overall development efforts.

The Solution: Datamatics Intelligent Deployment Strategy

To address the client's challenges, Datamatics implemented a robust version control system using the GIT repository, specifically tailored for the Planning, Monitoring, and Reporting (PMR) application. This formed the foundation for a more streamlined and collaborative development environment.

As part of the DevOps implementation, Datamatics adopted a structured branching strategy. Each new feature and bug fix was developed in its own dedicated branch, ensuring that parallel development efforts remained isolated and conflict-free. The master branch served as the central integration point, where all changes were merged through carefully reviewed pull requests. This not only improved code quality but also facilitated better team collaboration and accountability.

By introducing a disciplined release cadence, completed branches were regularly merged and deployed, allowing for more predictable and stable rollouts. This approach significantly reduced the complexity of release cycles, minimized manual interventions, and laid the groundwork for faster, more reliable software delivery.