Kubernetes Deployment

Full Kubernetes deployment — from cluster provisioning to production-ready manifests. We handle ingress, TLS, secrets, resource limits, and auto-scaling.

$200 – $500(one-time)

5–10 business days

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The Problem

Kubernetes has a steep learning curve. Misconfigured clusters lead to security vulnerabilities, resource waste, and downtime. Teams spend weeks figuring out basics.

Our Solution

We deploy and configure your Kubernetes cluster with production-ready manifests, ingress, TLS, secrets management, and monitoring — so you can focus on your application.

What You Get

Auto-Scaling

Horizontal pod autoscaler that scales with your traffic

TLS Everywhere

Automatic certificate management with cert-manager

Secrets Mgmt

Encrypted secrets with proper RBAC policies

Observability

Built-in metrics, logging, and health monitoring

How It Works

Planning

We design the cluster architecture based on your workload

Provisioning

We set up the cluster on your cloud provider or bare metal

Deployment

We write manifests, configure ingress, TLS, and secrets

Hardening

We apply security policies, resource limits, and monitoring

Tech Stack

Kubernetes

Helm

kubectl

Ingress-Nginx

Cert-Manager

Prometheus

Deliverables

Kubernetes cluster configured

Application manifests/Helm charts

Ingress + TLS setup

Secrets management

Resource limits + HPA

Documentation

Kubernetes Deployment

$200 – $500

one-time

Timeline: 5–10 business days

Get a Quote

Free consultation. No commitment required.

Frequently Asked Questions

Which cloud provider should I use?

Hetzner for cost-effectiveness, AWS EKS for enterprise, GKE for ease of use. We also set up on bare metal with k3s or kubeadm.

How much does a Kubernetes cluster cost to run?

A minimal cluster on Hetzner starts at ~$15/mo. On AWS/GCP, expect $70-150/mo for the control plane plus node costs.

Do I really need Kubernetes?

If you have fewer than 5 services, Docker Compose is probably enough. K8s shines at 10+ services, multiple environments, or when you need auto-scaling.