Spinnaker

spinnaker.io ↗

Coordinate multi-cloud releases with trigger-driven deployment pipelines.

SI Score
80/100
Pricing
Not confirmed
Free plan
Not confirmed
Sign-up required
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Answers use saved listing facts and recorded sources.
Homepage screenshot
Screenshot of the Spinnaker homepage

What it does

Spinnaker is an open-source continuous delivery platform for deploying applications across cloud environments. Its pipelines combine triggers and stages to coordinate releases, deployments, and rollout checks, with manual gates available when a release needs human approval. It focuses on post-build deployment orchestration rather than source compilation alone.

Arrange the deployment path as stages

Spinnaker's pipeline guide begins with an application and a pipeline configuration. A team can attach a trigger, add stages for the deployment actions, and connect each stage to its upstream dependency. Pipelines may run automatically from external events or be started manually; the product site describes deployment flows that include integration and system tests, immutable images, canary or blue-green strategies, and manual judgment before release. For example, an existing CI system can produce an image, then a Spinnaker pipeline can deploy it to a development environment and require approval before promoting it further. This is a documented workflow example, not a claim that a pipeline was run.

Treat installation as a platform project

Spinnaker is software to install and configure, not a hosted build-minute service. Its current installation guide lists a Kubernetes cluster, kubectl with Kustomize, a baseline of 18 GB memory and six cores, and configuration of a cloud provider and database. That makes it more appropriate for teams with platform capacity and release orchestration needs than for a small project seeking a ready-made hosted CI runner. The project is Apache 2.0 licensed; commercial support or hosted-service pricing was not established in the sources reviewed.

Strengths

  • Pipelines combine configurable triggers and dependent stages for repeatable release flows.
  • The product describes multi-cloud deployment integrations and supports manual release gates and rollout strategies such as canary and blue-green.
  • Pipeline stages can incorporate integration or system tests alongside deployment work.

Watch out for

  • The official installation guide lists a Kubernetes cluster, kubectl with Kustomize, and a baseline of 18 GB memory and six cores.
  • Operators must configure a cloud provider and a database as part of installation.

Best for

  • Platform teams coordinating application deployments and promotions across multiple cloud environments.
  • Organizations with Kubernetes operations capacity that need staged releases, manual gates, or rollout strategies.

Sources