Kubernetes Hosting India
Kubernetes hosting at WebJi® is a set of Linux VPS nodes with root SSH on which you run your own cluster with kubeadm or k3s. One node suits learning; a production control plane needs three for etcd quorum. WebJi® does not run a managed control plane, and nodes are quoted in INR before 18% GST.
For platform engineers and DevOps teams in India who want to run their own Kubernetes cluster on VPS nodes they control.
Jaipur · IN
- In business
- 21+ yrs
- Reply time
- <60 min
- Clients
- 12K+
- Billing
- INR + GST
Last editorial update: 14 November 2026. Prices follow the dated sources on this page; checkout confirms current charges.
What does Kubernetes hosting at WebJi® include?
Kubernetes hosting at WebJi® means Linux VPS nodes with root SSH and a public IPv4 each, on which you build and run your own cluster. You install the container runtime, start the control plane with kubeadm or k3s, and add networking, ingress and storage yourself.
WebJi® does not operate a managed control plane, and this page will not suggest otherwise. If you want another party to patch the API server and snapshot etcd, that is a managed Kubernetes service from a cloud platform; what WebJi® sells is the VPS range those nodes come from.
- Nodes: one cluster node per VPS, each with root access and its own address.
- Distribution: kubeadm for upstream Kubernetes, or k3s as a single lightweight binary.
- Networking: Flannel, Calico or Cilium as the CNI plugin — your choice.
- Ingress and TLS: Ingress-Nginx or Traefik, with cert-manager issuing certificates.
- Storage: a local-path storage class on the node's NVMe, or a CSI driver for shared volumes.
- Billing: INR invoices with 18% GST shown separately.
Managed vs self-managed Kubernetes: who runs the control plane?
With managed Kubernetes a cloud provider runs the API server, scheduler and etcd; with self-managed Kubernetes on WebJi® nodes, your team runs all three. The choice is about who carries the upgrade and backup work, not about which cluster is faster.
| Job | Managed (cloud platform) | Self-managed on WebJi® VPS |
|---|---|---|
| API server, scheduler, etcd | Provider | Your nodes, your team |
| Version upgrades | Provider schedules them | You step through one minor version at a time |
| etcd backups | Provider | Your cron job and off-node snapshot storage |
| Adding capacity | Resize a node pool | Order a VPS and join it |
| Bill shape | Cluster fee plus nodes | Flat per VPS |
| Suits | Small team without a platform engineer | Team already running clusters on call |
The managed column describes a product sold by cloud platforms, not by WebJi®.
Do you need Kubernetes, or will one VPS do?
One VPS running Docker Compose or systemd is the better buy for one application, one database and steady traffic. It deploys in minutes, costs one instance — a WebJi® VPS starts at ₹499 a month before 18% GST — and leaves only the operating system to patch.
A cluster earns its cost when three conditions hold together: a service needs several replicas, deploys must not drop requests, and losing a machine must not take the site down. If only the first holds, two VPS behind a load balancer is cheaper than any control plane. The Docker hosting guide covers the single-server path, and what a Docker container is explains the building block both paths share.
How many nodes, and what size, for a Kubernetes cluster?
A learning cluster fits on one k3s node; a production control plane that survives a machine loss needs three nodes for etcd quorum, before the first worker.
| Shape | Nodes | Survives a node failure? | Use |
|---|---|---|---|
| Single k3s node | 1 | No | Learning, CI previews, a home lab |
| One control plane + workers | 1 + 2 or more | Workers yes, control plane no | Staging, internal tools |
| HA control plane + workers | 3 + 2 or more | Yes | Production with on-call |
Give each control-plane node at least 2 vCPU and 4 GB RAM on fast disk, because etcd writes cluster state on every change. Size workers from the sum of pod requests plus 30–40% headroom; a node allocated past 90% schedules the next pod badly or not at all. Cloud VPS nodes join the same way when capacity has to grow quickly, and the VPS RAM guide helps with worker sizing.
How to bootstrap a k3s cluster on WebJi® VPS nodes
k3s installs a working control plane with one command, and each worker joins with the server URL and a token. Open TCP 6443 between nodes for the API, TCP 10250 for the kubelet and UDP 8472 for Flannel VXLAN.
- Order the VPS nodes and set hostnames and a private firewall rule between them.
- On the first node run
curl -sfL https://get.k3s.io | sh -. - Read the join token from
/var/lib/rancher/k3s/server/node-token. - On each worker run the installer with
K3S_URL=https://<server-ip>:6443andK3S_TOKEN=<token>set. - Check with
kubectl get nodes, then install cert-manager and point DNS at the ingress. - Schedule an etcd or datastore snapshot to storage that is not on the cluster, such as object storage.
Who self-managed Kubernetes hosting suits in India
It suits teams running several containerised services that scale on their own, with at least one person who reads kubectl output and owns the cluster on call. Platform teams that want ingress, CNI and storage kept in Git rather than in a hosting panel also fit.
It does not suit a brochure site, a single WordPress install, a small Laravel app or a team with nobody to patch a control plane at night. Those run better on a VPS, and one very large workload belongs on a dedicated server before it belongs on a cluster. Node counts are quoted by email at support@webji.services, answered 24/7 in Hindi and English with an average first reply under 60 minutes.
Frequently asked questions
Should I use kubeadm or k3s on a VPS?
Use k3s for small clusters and edge setups: it ships as one binary with an embedded datastore and uses less memory. Use kubeadm when you want upstream Kubernetes components exactly as documented, or when your team already maintains kubeadm clusters elsewhere.
How do I back up etcd on a self-managed cluster?
Take scheduled snapshots with etcdctl, or with the built-in k3s snapshot schedule, and copy them off the cluster. A snapshot stored on the same nodes it protects is lost along with them, so keep at least one copy elsewhere and test a restore.
Can GPU workloads run in a WebJi® Kubernetes cluster?
Yes, if a node has a card. A GPU VPS can join as a worker once the NVIDIA driver and device plugin are installed, and pods then request the GPU as a resource. Each GPU VPS exposes one card.
Is it possible to run Kubernetes on Windows VPS nodes?
The control plane must run on Linux. Windows worker nodes are supported upstream for Windows containers, but they add networking and image complexity. Most teams keep every node on Linux unless an application genuinely needs Windows containers.
What does a Kubernetes cluster cost at WebJi®?
It is the sum of the VPS nodes: one for learning, three for an HA control plane, plus workers sized to your pod requests. The fleet is quoted in INR by email before payment, with 18% GST on the invoice; single-node list prices are on the pricing page.
Last editorial update: 14 November 2026. Prices follow the dated sources on this page; checkout confirms current charges.
Ready to get started with WebJi®?
Join 12,000+ businesses across India and overseas. Free migration* (subject to terms & approval), INR pricing and 24/7 email support in Hindi & English — average first reply under 60 minutes.