CloudBees DevOptics
CloudBees DevOptics is an accurate value stream management platform, enabling organisations to visualise value flow and get real-time access to essential DevOps analytics, in order to generate a better software of their own. Overall, businesses can depend on the same to track, model and measure an end-to-end software delivery system. By utilising this particular platform, businesses get to enhance quality and velocity, track DevOps based performance and remove bottlenecks on the go. Further, an automated data collection process across several tools saves a lot of time and effort at once. Software developers can trust CloudBees DevOptics with complex application modelling and visualisation part, the discovery of blockages that impacts dependent components and root cause analysis. Also, large teams can depend on the same to streamline seamless collaboration and drive out the best practices. Other key features of CloudBees DevOptics include standard DORA metrics, real-time data analytics and gate waste related insights.
Free
Free
Jenkins OSS integrator - Use Jenkins OSS CloudBees Core integrator - Use CloudBess Core 7 days viewable data on CD platform Track unlimited number of Masters Current Activity Bar * Active Runs * Idle Executors * Runs Waiting to Start * Average Time Waiting to Start * Current Time to Idle Runs completed per day Average time to complete a run Activity by hour of the day Runs by Node Label Online Support CD platform monitoring Value stream modeling Value stream modeling Up to 7 days viewable data Online Support
Premium
$200.00 per user / year
Jenkins OSS integrator - Use Jenkins OSS CloudBees Core integrator - Use CloudBess Core More than 7 days viewable data on CD platform Track unlimited number of Masters Current Activity Bar * Active Runs * Idle Executors * Runs Waiting to Start * Average Time Waiting to Start * Current Time to Idle Runs completed per day Average time to complete a run Activity by hour of the day Runs by Node Label Visual Editor - allows you to quickly map your value streams Json Editor - allows you to create/edit value streams in code End to End Value Stream visualization Integrations with Jira to drill down to details for Jira tickets Track Git Commits Track BitBucket Commits Track GitLab Commits Search - Search Value Streams by ticket ID or assignee Time Filter - Value Stream based on a selected time range Commit/Ticket Filter at any gate and drill into the details Map all dependencies in a value stream and track progress Deployment Fequency - THe frequency of successful runs of any deployments in a value stream Mean Lead Time - Mean time for a ticket and commits to successfully flow from entry point to final destination Mean Time To Recover - The time it takes for pipelines/jobs across a value stream to return to a successful state after a failure Change Failure Rate - Percentage of non successful runs jobs/pipelines across a value stream caused by new changes Gold Support CD platform monitoring Value stream modeling Value stream waste inisghts Gate performance time metrics Run, ticket, and commit details More than 7 days viewable data New features as they rollout
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