Kubernetes and KaaS Architecture with Renish
I help teams build and operate Kubernetes platforms, including Kubernetes as a Service workflows, operators, deployments, upgrades, and application automation.
Kubernetes is powerful, but it has a talent for making simple problems wear a ceremonial hat. I like working with it when the platform genuinely needs orchestration, automation, and repeatability.
At Intuitive Cloud, I built high-volume services in Golang using Kubernetes Operator SDK and AWS cloud services. The work included automating Kubernetes APIs for deployments, updates, patches, upgrades, daemon sets, stateful sets, workflows with Argo Workflows, and CI/CD with Argo CD.
That experience is useful for teams building internal platforms, developer platforms, Kubernetes as a Service capabilities, or production systems that need safer operations at scale.
What I can help with
- Kubernetes platform architecture review
- Operator design and Golang implementation guidance
- Argo CD and Argo Workflows setup
- Deployment, upgrade, and patch automation
- Observability and operational runbooks for Kubernetes workloads
Useful stack
Related Alpstack proof
FAQ
What is KaaS?
KaaS means Kubernetes as a Service. In practice, it is a platform layer that lets teams create, manage, update, and operate Kubernetes-backed applications or clusters through repeatable workflows.
Can you build Kubernetes operators?
Yes. I have worked with Golang and Operator SDK for Kubernetes automation, including deployment and lifecycle operations.
When should a team avoid Kubernetes?
When the operational burden is bigger than the problem. Kubernetes is excellent for some platforms and wildly overqualified for others. I will say that clearly, even if Kubernetes brought snacks.