Spinnaker - A powerful Continuous Deployment solution with all that you need out of the box.
Updated May 31, 2021

Spinnaker - A powerful Continuous Deployment solution with all that you need out of the box.

Erlon Sousa Pinheiro | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with Spinnaker

We are using Spinnaker as our main CD platform for one of our products which is based on Kubernetes. At this moment, the environment is based in just one cloud provider (AWS) but we have plans to deploy also in Azure. Currently it is being used just for my team, with some read-only profiles for people from development team.
  • Fast deployments.
  • Can be integrated with a good variety of other products.
  • Also provides some insights from your environment.
  • Integration with external authentication mechanism is not that simple.
  • Its configuration is made by a external tool (halyard). Would be better if we could configure it by using its own frontend.
  • Its user interface is some times a bit confusing.
  • Continuous Deployment in Kubernetes Environments.
  • Access control for non technical users.
  • Integration with already used by our organization.
  • By using Spinnaker we are able to deploy new versions of our product quickly.
  • A deployment takes in average 2 minutes.
  • Our investment on Spinnaker was just time learning it.
Even Jenkins being originally a Continuous Integration solution, I've used it as a Continuous Deployment solution as well, but Spinnaker brought to me a more focused approach allowing us to spend less time by creating and managing pipelines. While on Jenkins we need to install dozens of plugin to achieve our goals, Spinnaker has all what we need out of the box. You just need to enable the feature through halyard and start to use it.

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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.