Services
This section introduces the Datalayer services you deploy on top of your Kubernetes cluster.
Use it as your service map before running Plane deployment commands.
Services are grouped in three layers:
- System services: cluster foundations such as ingress, certificates, storage and observability.
- Core services: IAM, operator, runtimes, library, spacer, AI agents, functions, scheduler, spider, manager, status.
- Optional and addons: extra capabilities you enable depending on your use case.
Recommended First Deployment Order
- System Layer First:
- Core Platform Layer:
- Optional Services and Addons:
Minimum Service Set
For a base deployment, start with:
Each service page below documents purpose, deployment details, and operational checks.
Terraform-First Workflow (AWS)
Terraform-First Workflow (AWS)
Before deploying services with Plane, provision the infrastructure and Kubeadm cluster:
cd terraform
terraform init
terraform apply
./generated/clouder-kubeadm-setup.sh
export KUBECONFIG=~/.clouder/kubeconfigs/kubeconfig-$(terraform output -raw cluster_name)
kubectl get nodes -o wide
Then deploy all services in one pass:
./generated/plane-deploy-all-services.sh
🗃️ Datalayer System
15 items
📄️ Datalayer Operator
Kubernetes
📄️ Datalayer IAM
Kubernetes
📄️ Datalayer Runtimes
Kubernetes
📄️ Datalayer Spacer
Kubernetes
📄️ Datalayer Library
Kubernetes
📄️ Datalayer AI Agents
Kubernetes
📄️ Datalayer AI Inference
Kubernetes
📄️ Datalayer Functions
Kubernetes
📄️ Datalayer Scheduler
Kubernetes
📄️ Datalayer Spider
Kubernetes
📄️ Datalayer Manager
Kubernetes
📄️ Datalayer Status
Kubernetes
🗃️ Datalayer Addons
2 items