Kubernetes concepts
Overview
Kubernetes concepts
Background on Kubernetes on Quake AI: how the platform provisions clusters, what your team operates versus what the platform handles, and how cloud-native patterns map to Quake AI's primitives. For step-by-step procedures, see the how-to guides.
Concepts
- Cloud-native Computing on Quake AI: Traditional application deployment is straightforward: install software on a server, configure it, run it. That model works until you need to scale to multiple instances, deploy updates without...
- Kubernetes on Quake AI: The Quake AI Kubernetes service (OpenStack Magnum) automates cluster provisioning on top of existing Compute, Network, and Storage infrastructure. You define the cluster shape through a reusable...
Also known as
- Kubernetes Clusters: A Kubernetes cluster is a control plane plus worker nodes that run your container workloads. On Quake AI you provision clusters through the Kubernetes service (OpenStack Magnum) or by running...
Quick answers
- Why does `openstack coe cluster create` fail with a Keystone trust or unauthorized error when I use an application credential?CLIAPITerraform
- Why does a Kubernetes LoadBalancer service stay `<pending>` for several minutes?CLI
- Why does my GitHub Actions or GitLab CI job fail to run `openstack coe` or `kubectl` on a Magnum cluster?CLI
See Also
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