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00 / examples
What to run on Rollout
Each example is one job end to end: what starts it, what runs, who decides and what it leaves behind. The label says where it comes from. We run the first one on our own production cluster; the others are reference builds you can copy.
Our production database and cluster on one screen
An app in our workspace reads Cloud SQL and GKE health live from Cloud Monitoring and Cloud Logging, shows only what we act on, and runs kubectl on a laptop when a pod's live state matters.
read it →Ship through an approval people can see
Build and stage automatically; production waits for a person to move the release to Approved. The approval is a recorded state change with an actor and a time.
read it →Collect launch evidence and route it for review
A review record starts a workflow: an AI step summarizes the linked docs, an API call checks the error budget, and a person decides with the evidence attached.
read it →Build, test and deploy on infrastructure you control
How builds, tests, approvals and deploys map onto Rollout workflows on Docker or Kubernetes, what exists today, and what you still build.
read it →Put your first job on Rollout
Run it on Cloud Pro or license Business for your own infrastructure. Founder-led Design Partner implementation is optional.
Prefer to talk it through? Talk to the founder
Want the numbers first? See pricing for every rate and a worked month.