Automate Deployment with Spinnaker Operator
Budget: $30 – $250 USD
I’m ready to move our Kubernetes workloads on AWS into a fully automated production-grade release flow and need an expert who can stand up Spinnaker via the Spinnaker Operator to make that happen.
Here’s what I’m after:
• Install and configure the Spinnaker Operator on an existing AWS-hosted Kubernetes cluster, ensuring all CRDs, accounts and namespaces are in place.
• Define a clean, repeatable deployment pipeline that promotes images straight to production once tests pass, complete with rollback logic and automated approvals where necessary.
• Wire Spinnaker to the AWS services it needs (ECR, IAM roles, load balancer annotations, etc.) so artefacts and infrastructure are discovered without manual steps.
• Document the setup: Helm/kubectl commands, manifest snippets, and any custom pipeline JSON so we can reproduce or extend it later.
Acceptance criteria
– A working Spinnaker UI reachable from the cluster, showing at least one pipeline successfully pushing a sample application to the production namespace.
– All configuration stored in version-controlled manifests so changes are auditable.
– Clear hand-off notes explaining how to add new microservices to the same automated flow.
If you’ve already rolled out Spinnaker Operator in AWS and can demo a running pipeline, I’d love to tap your expertise and get this live quickly.
Here’s what I’m after:
• Install and configure the Spinnaker Operator on an existing AWS-hosted Kubernetes cluster, ensuring all CRDs, accounts and namespaces are in place.
• Define a clean, repeatable deployment pipeline that promotes images straight to production once tests pass, complete with rollback logic and automated approvals where necessary.
• Wire Spinnaker to the AWS services it needs (ECR, IAM roles, load balancer annotations, etc.) so artefacts and infrastructure are discovered without manual steps.
• Document the setup: Helm/kubectl commands, manifest snippets, and any custom pipeline JSON so we can reproduce or extend it later.
Acceptance criteria
– A working Spinnaker UI reachable from the cluster, showing at least one pipeline successfully pushing a sample application to the production namespace.
– All configuration stored in version-controlled manifests so changes are auditable.
– Clear hand-off notes explaining how to add new microservices to the same automated flow.
If you’ve already rolled out Spinnaker Operator in AWS and can demo a running pipeline, I’d love to tap your expertise and get this live quickly.
Related categories:
Linux
Cloud Computing
Amazon Web Services
Node.js
Continuous Integration
Kubernetes
DevOps
Microservices