Google Cloud Deploy vs Spinnaker

Google Cloud Deploy automates application delivery through an ordered set of target environments. It deploys to Google Kubernetes Engine, Cloud Run, GKE attached clusters, and custom targets, with releases promoted or rolled back through the web console, CLI, or API. Deployment options include canary and parallel rollouts, verification, deploy hooks, and automated promotion. IAM roles and conditions determine which authenticated users and service accounts can act. Cloud Audit Logs and Cloud Logging support audit trails and platform logs. Teams can invoke the service from CI through its CLI or API, including documented GitHub Actions and GitLab connections. Skaffold and Cloud Build render and deploy manifests, alongside artifact repositories and testing or workflow tools. The first active multiple-target pipeline each month costs nothing; each additional active multiple-target pipeline costs $5 a month per billing account. Underlying services may add charges. The regional system limit is 18,000 API requests per minute.

Spinnaker is a free, open-source, self-hosted multi-cloud continuous delivery platform for releasing software changes. Its pipelines can run integration and system tests, manage server groups, monitor rollouts, and start from Git, Jenkins, Travis CI, Docker, or CRON events. Built-in blue/green and canary strategies are available, and teams can define custom strategies. Documented providers include AWS, Azure, Cloud Foundry, Google Compute Engine, Kubernetes, Oracle Cloud, and App Engine. At least one provider must be enabled and configured before applications can be deployed. CI integrations include Jenkins, Travis, AWS CodeBuild, Concourse, Google CodeBuild, and Artifactory; source integrations include GitHub, Bitbucket Server/Stash, and GitLab. Authentication supports OAuth 2.0, SAML, or LDAP, while authorization can use groups or team-based role providers. SSL secures UI and API communication. Kubernetes is the recommended installation route, with local Debian packages documented for smaller deployments. The local guide recommends at least four cores and 16GB RAM and warns that single-machine installations may have downtime.