"The solution's most valuable aspect is that it is vendor-agnostic and it has a file called Manifest, which makes it possible for developers, ops people, and system admins to cooperate."
"The orchestration, building the release, and then just executing it and managing that pipeline — the orchestration capabilities are great for that."
"The solution currently has a bug that causes performance issues. They need to resolve this in a future release."
"The backfill could be improved, we could automate that. Right now it's subjective — it's up to the lead developer's memory to remember to backfill."
Automate and standardize complex, enterprise-scale application deployments to any environment—from mainframes and middleware to containers and the cloud. Speed up deployments with increased reliability. Enable self-service deployment while maintaining governance and control.
Automate, orchestrate, and gain visibility into your release pipelines at scale using Digital.ai Release, a release management tool that is designed for enterprises. Control and track releases, standardize processes, and bake compliance and security into your software release pipelines.
Digital.ai Deploy is ranked 10th in Release Automation with 1 review while Digital.ai Release is ranked 6th in Release Automation with 1 review. Digital.ai Deploy is rated 8.0, while Digital.ai Release is rated 8.0. The top reviewer of Digital.ai Deploy writes "Vendor-agnostic and scalable but needs better technical support". On the other hand, the top reviewer of Digital.ai Release writes "Plan, track, and execute release plans from code drop to end user". Digital.ai Deploy is most compared with Red Hat Ansible Automation Platform, Microsoft Azure DevOps, UrbanCode Deploy and GitLab, whereas Digital.ai Release is most compared with Jenkins, Microsoft Azure DevOps, Bamboo, TeamCity and Automic Continuous Delivery Automation.
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