ENGAGEMENT
A Fortune 500 telecom company struggled with inefficient, manual testing processes that were not keeping pace with its expanding software portfolio, resulting in defects slipping into production and delayed release cycles. DayBlink Consulting implemented an automated testing framework integrated into the CI/CD pipeline, leveraging tools like Jest and PyTest to validate both front-end and API layers.
PROBLEM
As the portfolio of applications at a Fortune 500 telecom company expanded, the need to accelerate software development across the enterprise became critical. The existing testing processes, heavily reliant on manual efforts from developers, QA, and product teams, were increasingly inefficient and time-consuming. With many applications in development, manual testing could no longer keep pace with the scale and complexity of the software ecosystem, making it harder to identify and address bugs before deployment. As a result, defects occasionally slipped into production, negatively impacting the user experience and placing additional strain on developers to push urgent fixes. Moreover, the QA and product teams faced mounting challenges in ensuring that new features did not inadvertently disrupt existing functionality, slowing down the release cycle and increasing the risk of production issues.
SOLUTION
DayBlink Consulting implemented a robust automated testing framework for the client’s software portfolio, tightly integrating it into the CI/CD pipeline. This ensured that every piece of new code would pass through a series of automated tests before deployment to development or production environments. The solution was designed so that any failed test case would automatically block the deployment of the related code, ensuring code integrity throughout the pipeline. This helped reduce the potential for defects, maintaining consistency and reliability across all applications.
For front-end testing, DayBlink Consulting selected Jest for its compatibility with the client’s React-based UI frameworks, such as Material UI. The solution enabled unit testing, snapshot testing, and function mocking, ensuring that UI components functioned correctly across various apps. Common tests were templatized to allow development teams to easily test critical UI components, such as dynamic grids, rendered and functioned as expected. For the API layer, DayBlink Consulting employed the PyTest framework to validate that API endpoints behaved correctly across a wide variety of scenarios. Given the breadth of the client’s backend technologies, we developed a custom test harness to automate input / output validation,ensuring all applications consistently delivered accurate results.
To tie all of these testing mechanisms together, we added a dedicated ‘Test’ stage to the CI/CD pipeline. This pass/fail gate ensured all code must successfully pass test cases in order to proceed to the deployment stage, significantly mitigating the risk of bugs reaching production.
RESULT
By transitioning from a manual testing framework to an automated, integrated solution, the client achieved significant improvements in both code quality and development efficiency. Within weeks, the automated test suite provided over 90% code coverage across numerous applications. The pilot group alone integrated over 1,000 test cases. This broad coverage significantly reduced the risk of defects entering production, ensuring that critical components were thoroughly validated. The shift to automation also allowed the QA and product teams to focus on higher-value strategic initiatives, rather than time-intensive manual testing. The solution successfully scaled to allow dozens of application teams to introduce new features with higher velocity, while maintaining 90% code coverage. Furthermore, DayBlink Consulting collaborated closely with development teams to foster a stronger quality assurance culture, introducing policies and processes to require test cases to be written for every new feature.
Overall, this solution not only improved code quality but also increased the capacity of the development team to deliver features at a faster pace. By automating key processes, DayBlink Consulting provided a more reliable, efficient, and scalable method to test production code, ensuring the integrity of the client’s applications. The effort led to a better user experience and more stable production deployments.