In my previous post, I discussed the main capabilities in CloudBees Engineering Efficiency giving engineering leaders the visibility and insights needed to manage a high performing engineering team
At CloudBees, we understand that accessing and leveraging the data to that visibility shouldn’t come at the expense of developer freedom or an organization’s requirements for keeping development data safe via self-managed DevOps tools. Consequently, we built the foundational System of Record for CloudBees Engineering Efficiency with this in mind - flexible and agnostic so engineers can use the tools they want that best get the job done, while also being able to securely ingest data from on-premise tools that enterprise companies have and want to maintain. Besides, the whole rip and replace scenario to “modernize” your entire development environment and toolset is too disruptive and expensive - not to mention you get locked inside a box.
Based on this, I want to let you know that CloudBees Engineering Efficiency now supports an integration with BitBucket Server and Data Center through one plugin. So, regardless if your teams are using BitBucket or GitHub to manage your git repositories and source code, we’ve removed the headache of ingesting and normalizing git data. You can leverage that data in CloudBees Engineering Efficiency for visibility and insights into and across your software delivery process, with the goal of focusing your teams’ time on delivering quality software quickly and predictably. You can view the integration documentation to get more details.
Using BitBucket Data to Measure and Manage Velocity
Ingesting and presenting the correct git data with other tool data like Jira enables us to present cycle time analytics; from code commit to deployment. Visibility into these trends and insights uncover the effort it takes to bring new requirements to market while providing a breakdown of major phases of the SDLC to show progress and identify areas for improvements.
By seeing these analytics to measure and track the time it takes when new development work is picked up, to when it is completed and available to users, engineering leaders can assess if the teams are delivering features quickly. Additionally, trends showing increases in cycle time can expose areas where blockages or bottlenecks may be slowing team velocity. Leaders using Engineering Efficiency will have the data needed to make appropriate changes that keep your teams productive.
View repositories with a number of branches, open pull requests and last commit
You’ll be able to see all the pull requests related to any product or feature that your development team is working on. You’ll also see the associated repository, when it was created and by whom, as well as when it was last updated based on a review or merge.
The pull request and cycle time views together will help you drive more efficiency into your software delivery process, resulting in a truly high-performing and modern engineering team.
Visibility and insights through tool data integrations, as well as other capabilities of CloudBees Engineering Efficiency, are available today.
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