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Kubernetes for AI: A DevOps Guide to Building Scalable AI Infrastructure on EKS
Not yet published
Expected 25 Nov 25🚀 Build Production AI on Kubernetes – The Hands-On Guide! 🚀
Ready to stop talking about MLOps and start building it? This book cuts through the theory and gives you the hands-on playbook for creating a scalable, cost-effective AI platform on AWS. Forget abstract concepts—we're building a real-world, automated Image Recognition API from the ground up.
This is the guide for engineers who learn by doing.
What You'll Master in This ✅ Solve the #1 Problem in AI Cost. Learn to slash your cloud bill.
✅ On-Demand GPUs with Provision expensive GPU nodes only when you need them and terminate them automatically.
✅ Serverless AI with Deploy models that scale down to zero. Stop paying for idle servers forever.
✅ End-to-End Build a complete CI/CD pipeline with GitHub Actions for truly hands-off deployments.
✅ Production-Grade Go beyond basic tutorials to build a secure and robust EKS cluster fit for real workloads.
Why Master This Stack?The demand for engineers who can deploy AI on Kubernetes is exploding. This book equips you with the three most critical skills for modern EKS for orchestration, Knative for serverless serving, and Karpenter for intelligent, cost-effective scaling.
What You’ll Learn to ✔️ Build & Deploy an AI Service from scratch.
✔️ Slash Cloud Costs using scale-to-zero and just-in-time node provisioning.
✔️ Automate Model Deployments with a complete CI/CD pipeline.
✔️ Monitor GPU Performance with Prometheus and Grafana.
✔️ Master On-Demand GPUs using Karpenter for maximum efficiency.
✔️ Perform Safe Canary Rollouts to update models with zero downtime.
✔️ Manage AI Workloads on a production-ready EKS cluster.
Who Is This Book For?🔹 DevOps & SREs – Tasked with building the infrastructure for AI/ML teams? This is your playbook.
🔹 ML Engineers – Want to master the full deployment lifecycle for your models? This book bridges the gap.
🔹 Cloud Architects & Engineers – Looking for a practical guide to building cloud-native AI services? Start here.
Why This Book?📖 A Single, End-to-End Project – The only book that guides you through one complete, real-world AI project.
🛠️ 100% Hands-On & Practical – No fluff. You will build a functioning service in your own AWS account.
💰 Engineered for Cost-Efficiency – Learn the secrets to running powerful AI workloads without breaking the bank.
Stop theorizing and start building. Get your copy today and build the AI platform companies are fighting to hire for!
Ready to stop talking about MLOps and start building it? This book cuts through the theory and gives you the hands-on playbook for creating a scalable, cost-effective AI platform on AWS. Forget abstract concepts—we're building a real-world, automated Image Recognition API from the ground up.
This is the guide for engineers who learn by doing.
What You'll Master in This ✅ Solve the #1 Problem in AI Cost. Learn to slash your cloud bill.
✅ On-Demand GPUs with Provision expensive GPU nodes only when you need them and terminate them automatically.
✅ Serverless AI with Deploy models that scale down to zero. Stop paying for idle servers forever.
✅ End-to-End Build a complete CI/CD pipeline with GitHub Actions for truly hands-off deployments.
✅ Production-Grade Go beyond basic tutorials to build a secure and robust EKS cluster fit for real workloads.
Why Master This Stack?The demand for engineers who can deploy AI on Kubernetes is exploding. This book equips you with the three most critical skills for modern EKS for orchestration, Knative for serverless serving, and Karpenter for intelligent, cost-effective scaling.
What You’ll Learn to ✔️ Build & Deploy an AI Service from scratch.
✔️ Slash Cloud Costs using scale-to-zero and just-in-time node provisioning.
✔️ Automate Model Deployments with a complete CI/CD pipeline.
✔️ Monitor GPU Performance with Prometheus and Grafana.
✔️ Master On-Demand GPUs using Karpenter for maximum efficiency.
✔️ Perform Safe Canary Rollouts to update models with zero downtime.
✔️ Manage AI Workloads on a production-ready EKS cluster.
Who Is This Book For?🔹 DevOps & SREs – Tasked with building the infrastructure for AI/ML teams? This is your playbook.
🔹 ML Engineers – Want to master the full deployment lifecycle for your models? This book bridges the gap.
🔹 Cloud Architects & Engineers – Looking for a practical guide to building cloud-native AI services? Start here.
Why This Book?📖 A Single, End-to-End Project – The only book that guides you through one complete, real-world AI project.
🛠️ 100% Hands-On & Practical – No fluff. You will build a functioning service in your own AWS account.
💰 Engineered for Cost-Efficiency – Learn the secrets to running powerful AI workloads without breaking the bank.
Stop theorizing and start building. Get your copy today and build the AI platform companies are fighting to hire for!
15 pages, Kindle Edition
Expected publication November 25, 2025
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