The features I find most valuable in Digital.ai Release are the integration with MS Teams, because we have MS Teams channels that publish or push notifications to that. When we start deployments, it sends a notification to the people that we are doing a deployment to their environment. It notifies them when the deployment is started, completed, or if attention is required.

I also appreciate the fact that it has plugins for Bamboo and I use lots of Gradle and JSON scripts, and we do SQL upgrades as well, triggering Flyway scripts via Bamboo, along with the integration with XLD and Jira; it's all Atlassian software.

Regarding environment management capabilities, Digital.ai Release is mostly useful for me, as it is more application related and that is managed via my XLD dictionary. We have one artifact that is environment agnostic, which has placeholders that correspond to my XLD keys and values, and at deployment time, it substitutes the placeholders with those environment specific values. We don't need to make a specific deployment artifact for dev, test, or production; it is all the same artifact using environment variables, ensuring what we take to production is what was tested.

The solution can apply one template across multiple applications for email approvals or orchestrations. 

The load time is good and can handle anything we are doing. 

The most valuable feature of Digital.ai Release is its ability to communicate with various deployment systems, such as XLD and batch deployments, as well as integrate with tools, such as Flyway and Bamboo. We use Bamboo as our build orchestrator, and Digital.ai Release also integrates with Jira, another Atlassian solution. These capabilities make it a powerful tool for managing workflow, test automation, and other processes.

The ability for all these systems to work cohesively together is the most valuable feature.

I like it because previously we had to manually create documentation, and deployment also would take much time. 

Also, for higher environment deployments, we had to create tickets for other teams. That time is also reduced because the manual work has tremendously decreased. We just have to click one button, and it will create everything for us.

It's crucial in cases like deployment errors. Digital.ai allows rollback to previous versions, enhancing our ability to recover quickly.

For higher environments, what we do is roll back to the previous version using Jenkins if there's an issue.

The orchestration from our perspective was nice because right now, we're having to manually launch deployment jobs out of Jenkins. The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that.

It had the built-in metrics that we did use in selling to the executives. The metrics were good. It retained build-information so we didn't have to go back through it and dig out some old records to figure out what we've done — that was a really nice feature. 

From my perspective, I don't know about the entire team, just automating the backfill off of the production deployment was one benefit.