Visionaries is a data pipeline project designed to optimize the monitoring and analysis of printer firmware metrics provided by HP. The program collects a raw data dump via cli input, and utilizes Python code to transform these metrics into actionable insights. Key performance indicators and other critical data points are extracted for visualization in Grafana, which offers intuitive dashboards for data monitoring and decision-making.
Furthermore, Visionaries incorporates a machine learning model trained to predict progress towards meeting release criteria, the stage known internally as 'convergence'. By analyzing various factors, including the development team and bug lifecycle data, this feature empowers managers and teams to anticipate project timelines more accurately, thereby enhancing efficiency and resource allocation.
The program is bundled into a Podman container, similar to Docker, which makes it simple to deploy and run on any system. The user begins by starting the container, and then running it with the desired input file as an argument. The program then processes the data and stores it into the linked MongoDB. After which, the Grafana dashboard will read the new data and update the visualizations automatically. Possible next steps for this project might include a higher level of automation, such as integrating the program directly into the firmware for updates without user interaction.