Data Lake
Helps compile real-time data from various sources and store in NoSQL DB.
Data Aggregation
Applies filters and logic to derive the consolidated data across various business dimensions.
Visualization
With intuitive and configurable dashboards CI/CD helps project the process flow and the performance metrics at each step.
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Visualization layers such as HTML, JQuery, JS, etc., are part of the GUI of RLCatalyst
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Data Lake web services for Jenkins, Jira, etc., for utilization as necessary by the visualization layer
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External sources for storing raw data such as Jenkins, Jira, SonarQube, GitHub, etc.
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Using Cron Jobs to load data, aggregate and store raw data from the data loader
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Get a consolidated view of multi-component projects
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Early warnings on delays in product release based on trends in QA/Build Quality
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Reduce troubleshooting time
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Improve sprint planning based on velocity of moving code from dev to production