36 docs tagged with "dashboards"

The Active releases tiles are available on the folder and global dashboard levels. As of Release 9.8, there are 3 new tiles that show statistics of currently active releases.

You can use custom dashboards to build a security and compliance dashboard to ensure that your applications meet the compliance requirements and to help you identify applications that are failing to meet security standards.

You can create custom dashboards with the most relevant data for your team and share them with others in your organization. Custom dashboards give you the flexibility to focus on a small dataset or a specific topic such as security.

The DORA dashboard is pre-configured with certain default configurations, such as threshold values, bucket ranges, labels, and so on. These values can be modified to suit customers' requirements.

The Deployment distribution tile displays distribution of successful and failed deployments. You can filter this tile based on parent folder, application, environment, environment stage, and environment label.

This topic explains how to use dashboard templates in Digital.ai Release to quickly build a dashboard that provides information on your deployments and releases.

This topic guides you to add a deployment activity tile which displays distribution of successful and failed deployments. You can filter this tile based on state of deployment, such as completed successfully or failed, and also by parent folder, application, environment, environment stage, and environment label.

The Deployment distribution tile displays distribution of successful and failed deployments. You can filter this tile based on parent folder, application, environment, environment stage, and environment label.

The Deployment success rate tile displays the success rate of your deployments as a percentage. You can filter this tile based on parent folder, application, environment, environment stage, and environment label.

DevOps Research and Assessment as a dashboard helps you analyze details to streamline or improve your DevOps process using key DORA metrics such as Deployment frequency, Lead time for change, Mean time to restore, and Change failure rate. DORA metrics have now become the standard for gauging the efficacy of software development teams and can provide crucial insights into areas for growth.

The Change Request Analysis dataset helps you analyze the change requests within a project or organization. This dataset facilitates the Change Executives or Change leaders to monitor, evaluate, and track change requests throughout their cycle. Using this dataset helps you gain insights into business scenarios such as:

The DORA common filter details dataset allows you to filter a range of data based on the criteria you define. For example, the Parent folder attribute as a filter allows you to select any level from the parent attribute and displays a flattened view of all underlying child release folders that are associated either directly or indirectly with the parent folder. And individuals who work together collaboratively to achieve a task represented as teams.

The out-of-the-box datasets are created using data that is available in Digital.ai Release and Digital.ai Deploy. You can use these ready-to-use datasets to create customized dashboards based on your requirements.

The Deployment Analysis dataset provides an overview of the deployment process for software updates of an organization. This dataset helps you gain valuable insights into the deployment process, enabling them to make informed decisions, improve efficiency, and ensure the reliability of software. Using this dataset, you can answer business questions related to deployments such as:

The Incident Analysis dataset helps you analyze the incidents that occurred within a system or organization. This dataset provides valuable insights into incident management, helping you track, analyze, and improve their response to incidents, ultimately providing user satisfaction. Using this dataset helps you gain insights into business scenarios such as:

The DORA Industry Standard Grid dataset is used to view the industry standard thresholds set by the DORA team for comparison and performance enhancements.

The Lead Time Analysis dataset provides insights into the time it takes for a process to be completed, from the initiation of work to its final delivery. This dataset helps you understand the development process better, optimize workflows, and deliver software more efficiently while meeting customer expectations.

The DORA release last refresh datetime dataset is used to view the time stamp of when the data load occurred and presented in a machine-readable format yyyy-MM-dd HHss.SSS.

release-premium-label-only

The Markdown text tile is available on all dashboard levels, such as release, folder, and global.

release-premium-label-only

Out-of-the-box datasets are pre-built and ready-to-use datasets that you can use to create visually appealing reports. These datasets can be used to create customized dashboards based on your requirements. You initiate analysis, development, or testing without the need to collect, clean, or prepare data from scratch. These datasets serve as a convenient resource for users to promptly commence data-related tasks, learn new tools, and develop solutions with minimal setup effort.

Out-of-the-box datasets are pre-built and ready-to-use datasets that you can use to create visually appealing reports. These datasets can be used to create customized dashboards based on your requirements. You initiate analysis, development, or testing without the need to collect, clean, or prepare data from scratch. These datasets serve as a convenient resource for users to promptly commence data-related tasks, learn new tools, and develop solutions with minimal setup effort.

release-premium-label-only

This topic provides an overview of Digital.ai Release reports, including types of dashboards, report permissions, and report caching. Digital.ai Release reports display graphs and statistics based on historical release data stored in the archive database, and are available to users with the appropriate permissions.

release-premium-label-only

release-premium-label-only

release-premium-label-only

This topic guides you to add a total number of deployments tile which displays the total number of deployments. You can filter this tile based on state of deployment, such as completed successfully or failed, and also by parent folder, application, environment, environment stage, and environment label.

Workflows are step-by-step interactive sessions designed to accelerate developers' familiarity with internal tools and streamline the onboarding of applications and environments. These guided workflows prompt users for inputs and automatically generate necessary artifacts, facilitating release orchestration and end-to-end deployment. Workflows minimize the need for in-depth tool knowledge, allowing developers to focus on their core tasks. They serve as repeatable paths for addressing various engineering needs, ensuring efficiency, consistency, and ease of use throughout the development and deployment lifecycle.

The Workflow Analytics out-of-the-box datasets are created using data that is available in Digital.ai Release. You can use these ready-to-use datasets to create customized dashboards based on your requirements.

The Workflow Category Details dataset provides insights into the templates linked to various workflow categories, aiding efficiency in workflow execution through effective categorization.

Workflows are step-by-step interactive sessions designed to accelerate developers’ familiarity with internal tools and streamline the onboarding of applications and environments. The Workflow Details dataset provides an overview of the workflow execution and helps you gain valuable insights using which teams can make data-driven decisions to optimize their processes, increase productivity, and reduce errors.

The Workflow Tag dataset provides insights into the tags associated with various workflows, used for categorization, thereby aiding in searchability and filtering.

The Workflow Teams dataset provides insights into the teams working on various workflows, aiding in team management and workflow assignment tracking.

The Workflow Users Details dataset offers insights into user activity and license status, aiding in the management of user access and license allocation.