Custom agile project Kanban, experience and upgrade! Boyun DevOps platform releases version 3.1
On June 9th, the BoCloud Boyun BeyondDevOps platform was updated with version 3.1. The new version improves the product functionality on the basis of the previous version, and further improves product ease of use-supporting agile project Kanban customization, integrating Jira software, enriching work item types, and optimizing the agile project management experience.
The highlight of the version
Integrated Jira software
Flexible Kanban for Agile projects
Rich types of work items
Version display
Integrated Jira software
Through the integration with Jira Software, the workflow docking between platforms can be realized, the workflow status of requirements and tasks can be pushed to the jira platform, and the relevant information of Jira Software requirements management module can be synchronized and updated.
Flexible Kanban for Agile projects
The platform provides flexible configuration of agile project Kanban function, and users can define appropriate project Kanban according to their own needs. Kanban users can more clearly distinguish the stages of each task and understand the progress of each task in the project in each iteration.
Rich types of work items
The platform provides task collaboration tools with versions, iterations, and work items (epics, requirements, tasks, defects, subtasks) as the core. Starting from the epic supporting large-scale work, to dealing with the requirements, tasks, defects, and sub-task management of specific work details, it can help users better divide the work levels of the project and track and deliver the work one by one from large granularity to small granularity.
BeyondDevOps platform
BeyondDevOps provides an end-to-end integrated development and operation platform solution from "demand-> Development-> Test-> release-> Operation-> Operation", covering collaborative services and R & D tool support for project management, R & D management, test management and operation management, transforming the offline IT production process into an online highly automated and visual IT production line, improving product R & D efficiency and responding to business needs quickly. Ensure the quality of work, and continuously improve the operation ability of IT through measurement analysis and risk prediction.
