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Surviving AI with Minimal Viable Kubernetes

Surviving AI with Minimal Viable Kubernetes
This book is 2% completeLast updated on 2026-10-07

AI has changed the game. Suddenly, a small team—or even a single developer—can build things that once required an entire engineering department.

But what happens when you need to actually run those things?

Kubernetes has become the standard answer, but it has also become synonymous with complexity, specialist teams and expensive managed services.

It doesn't have to be that way.

Surviving AI with Minimal Viable Kubernetes explores a simpler approach: using Kubernetes as a practical foundation for small businesses, startups, solo developers and anyone who wants more control over their infrastructure without taking on unnecessary complexity.

Discover the Minimal Viable Kubernetes approach, built around the essential pieces of Kubernetes that are often hidden behind managed services—and learn how AI can help you bridge the gaps in your own knowledge along the way.

You don't need a giant cluster.

You don't need a DevOps department.

You need infrastructure that is minimal, viable and yours.

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About the Book

Surviving AI with Minimal Viable Kubernetes

AI is changing what it means to be a software developer, founder, and technologist. It gives individuals the ability to work across disciplines—but that freedom also creates a new problem: how do you build and run the infrastructure behind your software without becoming dependent on expensive platforms, specialist teams, or increasingly complex cloud services?

Surviving AI with Minimal Viable Kubernetes is a pragmatic guide to running Kubernetes without the enterprise complexity that has traditionally surrounded it.

Written from more than 20 years of hands-on infrastructure and software experience, Jon Brookes explores how AI can help developers and small teams become more capable generalists, while using Kubernetes as a practical foundation for self-hosted and cloud-independent workloads.

At the heart of the book is Minimal Viable Kubernetes (MVK)—an opinionated approach that strips Kubernetes back to what a small business, startup, solo developer, or edge deployment actually needs.

The book focuses on the parts of Kubernetes that are often hidden behind managed services and simplified tutorials:

  • Ingress — getting users reliably to your services
  • Persistence — making application data survive beyond individual workloads
  • etcd and cluster state — understanding what makes Kubernetes itself work
  • Workload deployment — treating applications and infrastructure as replaceable rather than precious
  • Backups and recovery — proving that your data can actually be restored
  • Scaling — moving from a single-node deployment to a minimal multi-node cluster
  • AI-assisted development — using AI as a force multiplier without surrendering your own knowledge and judgement

The book presents practical MVK configurations ranging from a minimal single-node deployment through to a three-node hyper-converged cluster, using technologies such as K3s, Kine, PostgreSQL, Traefik and Longhorn.

This isn't a book about building the biggest Kubernetes cluster possible.

It's about building enough.

It's for the founder who doesn't want a DevOps team before they have customers. For the developer who wants to understand what sits underneath managed Kubernetes. For the small business that wants predictable infrastructure costs and less vendor lock-in. And for the experienced infrastructure engineer who wants to cut through layers of unnecessary complexity.

The goal is simple:

Take back control of your infrastructure, without taking on more complexity than you need.

Minimal. Viable. Kubernetes.

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Contents

Table of Contents

Who is this book for ?

  1. To Host or not to Host
  2. Artificial Intelligence and our own Identity

Surviving AI

The 3 pillars of K8s

  1. Ingress
  2. Persistence
  3. Etcd
  4. Minimal and Viable

Up and Running

  1. Edge Single Node
  2. 2 Node management plane / worker node
  3. 3 Node Hyper converged management plane / worker nodes
  4. The 4th Pillar of k8s

Infrastructure is Ephemeral

  1. Routine Recovery and Rehearsal

Deployments are Ephemeral

  1. Data Ownership
  2. Scale to Zero

MVK AI Stack

  1. Development
  2. Production

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