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Cluster API vs Palette

Cluster API

cluster-api.sigs.k8s.io

Palette

spectrocloud.com

Side by side

FigureCluster APIPalette
Price fromFree—
Free planYes—
Free trial—Yes
Open source——
Web—Yes
WindowsYes—
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · Kubernetes Management Platforms8.8 (#3)8.0 (#8)
IntegrationsThe quick start lists infrastructure providers including AWS, Azure, GCP, OpenStack, vSphere, and KubeVirt, among others.The maker lists integrations including Argo CD, Kubeflow, Redis, Istio, Datadog, Splunk, Prometheus, Grafana, and Calico.
Lifecycle operationsIts stated goals include creating, scaling, upgrading, and destroying Kubernetes-conformant clusters through a declarative API.The platform provides deployment, rolling upgrades, OS patching, backup and restore, monitoring, logging, alerting, scaling and self-healing.
PurposeCluster API provides declarative APIs and tooling to provision, upgrade, and operate multiple Kubernetes clusters.Palette manages Kubernetes clusters and their lifecycle across cloud, data center, and edge environments.

Plans

Cluster API

  • Cluster APIFree

Cluster API pricing →

Palette

  • PalettePriced on request

Palette pricing →

In their own words

Cluster API

Cluster API is an open-source project for managing the lifecycle of multiple Kubernetes clusters through declarative APIs and tooling. Platform operators can use it to create, scale, upgrade, and destroy Kubernetes-conformant clusters across on-premises and cloud environments. Provider implementations are interchangeable; kubeadm is the default bootstrap provider. The ecosystem includes infrastructure, bootstrap, control plane, IPAM, addon, and runtime extensions, with environments such as AWS, Azure, GCP, OpenStack, vSphere, and KubeVirt. A management cluster can use clusterctl or the Cluster API Operator to manage provider components. Clusterctl fetches provider component YAML and installs it, while the Operator uses a declarative approach intended to support GitOps workflows. Getting started requires an existing Kubernetes cluster accessible through kubectl; kind, Docker, and Helm are common prerequisites. Cluster API supports multi-cluster provisioning and upgrades, but does not manage a single cluster spanning multiple infrastructure providers or clusters it did not provision. It is free and open source. The project supports its latest two minor releases, with each supported for roughly 12 months including maintenance.

Visit cluster-api.sigs.k8s.io

Palette

Palette has no write-up on Specifiction yet; its figures are above.

Visit spectrocloud.com