PLATFORM / CLUSTERS

More than one server.
One deliberate architecture.

Plan how multiple VPS instances work together. Kubernetes clustering gives microservices a shared scheduling layer, with explicit node roles, networking, and storage decisions.

Explore the workflow Full product tour

Workloads planned

Multi-VPS architectureProduct concept

DOCKOCK / CLUSTERSConnected VPS infrastructure

Control planeWorkersStorage

Coordinate the clusterDefine the servers responsible for cluster coordination.

Role: Control plane
Consider: Quorum & failure domains
Requirement: Reviewed node topology

Place each workloadSchedule web, API, and background services on eligible nodes.

Role: Application workers
Consider: Capacity & private networking
Requirement: Service placement rules

Design for persistent dataDefine how application data survives workload and server changes.

Role: Stateful services
Consider: Replication & recovery
Requirement: Tested backup design

THE WORKFLOW

A clear path.
At every stage.

Follow the intended workflow, with availability explained above.

Connect eligible VPS

Verify each server and choose a topology that matches the application.

Define the cluster

Plan control-plane roles, worker capacity, private networking, and ingress.

Place your services

Review microservice placement and persistent storage before future cluster deployment.

DESIGNED AROUND THE DETAILS

The context behind the controls.

A cluster is an architectural choice. A single VPS remains a valid starting point.

Explore the guides

Choose the right shape for your application.

A single VPS with Docker Compose suits many applications. The Kubernetes direction uses K3s for workloads that benefit from a multi-server environment. A cluster is a group of coordinated servers; it is not a requirement for every project.

Give each service a clear role.

Microservices separate application responsibilities, such as a frontend, API, and background worker. Kubernetes can schedule service workloads on suitable nodes, while ingress and load balancing direct traffic to the intended application endpoints.

Design the network and data deliberately.

Multi-server plans must account for private networking, latency, node roles, persistent storage, and failure recovery. Running extra replicas on one VPS does not provide server high availability. Stateful databases need their own replication and backup design.

Follow the implementation boundary.

K3s detection and reviewed installation foundations exist. Local admission checks have been implemented, while the real network and join lifecycle and Kubernetes workload reconciliation remain unfinished. Customer cluster workloads are not enabled.

More than one server.
One deliberate architecture.

A clear path.
At every stage.

Connect eligible VPS

Define the cluster

Place your services

The context behind the controls.

Choose the right shape for your application.

Give each service a clear role.

Design the network and data deliberately.

Follow the implementation boundary.

DOCKOCK support

A little help.
A clearer next step.

More than one server.One deliberate architecture.

A clear path.At every stage.

Connect eligible VPS

Define the cluster

Place your services

The context behind the controls.

Choose the right shape for your application.

Give each service a clear role.

Design the network and data deliberately.

Follow the implementation boundary.

Connect the next layer.

See the whole workflow.Know where to begin.

More than one server.
One deliberate architecture.

A clear path.
At every stage.

See the whole workflow.
Know where to begin.