Release Update 04/23/2024

Insights NX

Approach to cycle time calculation using Project status and issue types

Tracking the start and end Jira status for cycle time for modifications is crucial because it allows teams to measure how long it takes for a task or project to progress through various phases of the development process.

The project mapping feature in Opsera Dashboards allows customers to map their Jira projects with the problem type, start/completion/exclude status, and calculate the cycle time for changes to the specific Jira project. This data enables teams to analyze their processes, find areas for development, and make informed decisions to streamline their workflow. For more info, read here.

Addition of a new API to list hierarchical Filters

A new API has been supported to retrieve and display the top 100 items at each level of the hierarchy in the Insights NX hierarchy filters. The data can also be updated via this API in response to user choices made inside the hierarchy.

Additionally, filters are built into the API design so that users can apply specific criteria or parameters at every level of the hierarchy. For more info, read here.

Introducing a Jira-based deployment frequency KPI to monitor deployments

Opsera provides a new KPI called Deployment Frequency (Custom) that enables teams to use Jira workflow to continuously monitor deployment. Monitoring deployment frequency in Opsera could be a challenge for teams who rely on manual methods to trigger their Opsera pipelines or that use third-party solutions that might not be integrated seamlessly with their CI/CD systems.

This is resolved by supporting a custom KPI that is connected to particular Jira issues that are part of every deployment. This allows users to see the list of Jira issues that have been deployed at a particular time, as well as the overall deployment status, successful and unsuccessful deployments. For more info, read here.

Simplify DORA Dashboard Creation Process in Insights NX

Users can simplify the Dora dashboard creation, with a new template with predetermined DORA KPIs.

By using this new capability, users can save time and effort in designing their dashboards, as they are presented with a predefined set of KPIs that are deemed crucial for monitoring performance. This ensures consistency across different dashboards created using this method, making it easier for users to compare performance metrics and track progress over time. For more info, read here.

Capability to View Deployment Counts at the chart level

In a Dashboard’s Overview, the deployment counts for a Deployment frequency KPI are shown at the top of the chart, allowing users to easily identify and focus on the total number of deployments without having to scroll through the entire chart. Deployment numbers indicate the number of times a given deployment occurred.

Additional Enhancements

• Upon creating a new dashboard, the date filter's default range is set to three months rather than two weeks. This way, users are presented with a broader view of data over a more extended period. This can help in identifying trends, patterns, and anomalies that may not be as apparent within a shorter two-week timeframe.

• Dashboards now have a search box, which makes data easier to access and cuts down on time spent looking for pertinent data points by enabling users to find specific information inside lists more quickly.