Digital.ai Release, formerly XebiaLabs XL Release, is a release management tool designed for enterprises that enables users to control and track releases, standardize processes, and bake compliance and security into software release pipelines. As a release orchestration tool, Digital.ai Release works specifically for continuous delivery, and enables teams across an organization to model and monitor releases, automate tasks within IT infrastructure, in order to cut release times and improve…
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Spinnaker
Score 7.9 out of 10
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Spinnaker is an open source continuous delivery platform with a range of cluster management and deployment management features, originally developed at Netflix.
XL release fits very well when you need cross-team coordination in a release process where you want to coordinate an alpha or beta program with marketing as part of a major release process.
Spinnaker is a strong solution for Continuous Deployment being able to manage enormous environments in an easy way. Even Spinnaker being able to manage environments based on cloud instances (ec2 for example) I believe it is more suitable for containerized environments. Mainly in Kubernetes where it excels as a reliable and safe tool
The tool is easy to use, easy to navigate and learn. Manages releases with proper approvals in a systematic manner. Though it needs minor improvements in terms of pagination (data loading), access management, but, overall the tool helps in increasing productivity and less time for production deployments.
Support is not good at all. To this day, I have to mail my queries and their support site does not log in for me (me alone). But, upon contacting many times, no one helps with a proper response. Though good thing is, I get a proper response over mail too. But, being informative about the tool and not on the issues faced by users outside of the process to get support should also be addressed equally. Which is currently missing in support.
Deployment and release management can be done in various ways. But, XL Release or Digita.ai, helps in simplifying the process with predefined plugins, pre-developed security features, etc that help manage and process deployment cycles quicker and in a processed way.
• Pipeline Expressiveness • Self-Service/Override • Visibility of Client Teams • Operability of Client Teams - • High-Quality Integrations (AWS, IHP, Google) • Extensibility – (Ability to add code) • The maturity of Deployment Process • Speed/Ease of Onboarding