Initial requirement
What were the goals and expectations?
Optimization of the build and deploy process through an implementation that adhered to DevOps standards and was maintainable.
Customer Profile
Company: Robomagister S.r.l.
Geographical Location: Italy
Company Description: Manufacturer of smart kitchen robots.
How was the project approached?
Detailed Analysis
The project began with an in-depth analysis of existing issues and specific requirements. This included reviewing the current pipelines, identifying critical pain points, and assessing the existing infrastructure.
Development of a Tailored Solution
Based on the analysis results, we designed a custom solution to optimize the process. This involved creating a pilot pipeline specifically tailored to meet the identified needs and implement best practices. The pilot pipeline was developed with the project’s unique characteristics and challenges in mind, to test and validate the proposed changes.
Collaboration with the Consultant
To ensure the proper implementation of the solution, we worked closely with the consultant on drafting a pilot pipeline. The consultant provided support in designing the pilot pipeline and guided its implementation, ensuring that the changes adhered to methodologies and best practices.
Customer feedback
The proposed and implemented solution led to significant improvements compared to the previous monolithic approach, optimizing various aspects of the process. However, a critical issue has emerged that will require further review.
Separation of Build and Deploy Logic: The separation between build and deploy logic allowed for the creation of more specific solutions tailored to each environment. Components were broken down into atomic pipelines, enabling the execution of only what is necessary at any given moment, also aiding in organizing the code in a more structured and reusable way.
Error Management: The atomic division of the pipelines improved modularity, maintainability, and process responsiveness, allowing for more targeted intervention in case of errors.
Automated Trigger: The trigger for integration and deployment has been significantly simplified. Previously, each “macro” component (e.g., backend, front-end) had to be executed manually. Now, each process starts when a tag is created.
Improved Automation of Build/Promotion Process and Production of Artifacts: The build and deploy process is now more automated, with simpler pipelines dedicated to individual tasks, making them easier to activate and manage.