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Description

Monitor the progression of portfolio work items as they navigate through each phase of the delivery pipeline. Digital.ai Continuum offers insights into the business value that transitions from planning all the way to production release. By integrating software planning, development, and delivery, Digital.ai Continuum empowers organizations to comprehend the value embedded in every stage of the release cycle. It enriches the release pipeline with context and forges connections between planning activities and delivery processes. Achieve an uninterrupted perspective through a fluid integration of agile planning and DevOps software delivery. Keep track of the status and movement of development work items as they advance through the release stages. Assess the quality, consistency, and risks associated with work items that contribute to a software package. Furthermore, pinpoint high-risk rogue commits to enhance reliability and minimize the chances of release failures, ensuring a smoother deployment experience overall. This holistic approach facilitates informed decision-making and fosters continuous improvement in the software delivery life cycle.

Description

Identify your strengths while addressing concealed bottlenecks to enhance productivity and agility throughout your DevOps lifecycle. Gain practical insights to elevate efficiency in each phase by integrating data from Jira, Jenkins, GitHub, GitLab, Azure DevOps, SonarQube, and various other platforms. Utilize software metrics to assess agile velocity, quality, security, and data integrity. Create customizable dashboards that allow you to aggregate or examine details as needed. Accelerate the development of high-quality products and focus on delivering outcomes that prioritize customer needs. Enhance data integrity and streamline processes to drive efficiency. Foster a culture that values collaboration and recognition, which can lead to improved employee retention rates. Regularly evaluate the quality of requirements, acceptance criteria, and agile sprint plans to ensure clarity and precision. Implement automation for issue routing and task reminders to minimize downtime and unproductive waiting periods. Stay ahead of potential risks with early warnings regarding sprint delays. Make informed decisions by considering customer impact, and use timely alerts to speed up pull request reviews and merges, thus enhancing overall velocity. Additionally, conditionally automate repetitive task sequences to alleviate cognitive burden and maintain team focus on more critical tasks. Strive for continuous improvement by consistently analyzing and refining your processes.