Kubernetes An Enterprise Guide Third Edition
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Kubernetes – An Enterprise Guide
Author: Marc Boorshtein
language: en
Publisher: Packt Publishing Ltd
Release Date: 2024-08-30
Enhance your Kubernetes skills with Istio integration, security best practices, advanced CI/CD techniques, and effective monitoring using Prometheus and Grafana. Gain expertise in multitenancy, secrets management, and global load balancing to optimize deployments, improve security, and streamline operations in enterprise environments. Key Features Practical insights on running Kubernetes in enterprise environments, backed by real-world experience Strategies for securing clusters with runtime security, direct pod mounting, and Vault integration for secrets management A dual-perspective approach that covers Kubernetes administration and development for a complete understanding Book DescriptionKubernetes – An Enterprise Guide, Third Edition, provides a practical and up-to-date resource for navigating modern cloud-native technologies. This edition covers advanced Kubernetes deployments, security best practices, and key strategies for managing enterprise workloads efficiently. The book explores critical topics such as virtual clusters, container security, and secrets management, offering actionable insights for running Kubernetes in production environments. Learn how to transition to microservices with Istio, implement GitOps and CI/CD for streamlined deployments, and enhance security using OPA/Gatekeeper and KubeArmor. Designed for professionals, this guide equips you with the knowledge to integrate Kubernetes with industry-leading tools and optimize business-critical applications. Stay ahead in the evolving cloud landscape with strategies that drive efficiency, security, and scalability.What you will learn Manage secrets securely using Vault and External Secret Operator Create multitenant clusters with vCluster for isolated environments Monitor Kubernetes clusters with Prometheus and visualize metrics using Grafana Aggregate and analyze logs centrally with OpenSearch for deeper insights Build a CI/CD developer platform by integrating GitLab and ArgoCD Deploy applications in an Istio service mesh and enforce security with OPA and GateKeeper Secure container runtimes and prevent attacks using KubeArmor Who this book is for This book is designed for DevOps engineers, developers, and system administrators looking to deepen their knowledge of Kubernetes for enterprise environments. It is ideal for professionals who want to enhance their skills in containerization, automation, and cloud-native deployments. While prior experience with Docker and Kubernetes is helpful, beginners can get up to speed with the included Kubernetes bootcamp, which provides foundational concepts and a refresher for those needing it.
Kubernetes - An Enterprise Guide - Third Edition
This edition dives into advanced deployments, groundbreaking techniques, and insights that will elevate your skills and redefine your expertise.
Kubernetes for Generative AI Solutions
Author: Ashok Srirama
language: en
Publisher: Packt Publishing Ltd
Release Date: 2025-06-06
Master the complete Generative AI project lifecycle on Kubernetes (K8s) from design and optimization to deployment using best practices, cost-effective strategies, and real-world examples. Key Features Build and deploy your first Generative AI workload on Kubernetes with confidence Learn to optimize costly resources such as GPUs using fractional allocation, Spot Instances, and automation Gain hands-on insights into observability, infrastructure automation, and scaling Generative AI workloads Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGenerative AI (GenAI) is revolutionizing industries, from chatbots to recommendation engines to content creation, but deploying these systems at scale poses significant challenges in infrastructure, scalability, security, and cost management. This book is your practical guide to designing, optimizing, and deploying GenAI workloads with Kubernetes (K8s) the leading container orchestration platform trusted by AI pioneers. Whether you're working with large language models, transformer systems, or other GenAI applications, this book helps you confidently take projects from concept to production. You’ll get to grips with foundational concepts in machine learning and GenAI, understanding how to align projects with business goals and KPIs. From there, you'll set up Kubernetes clusters in the cloud, deploy your first workload, and build a solid infrastructure. But your learning doesn't stop at deployment. The chapters highlight essential strategies for scaling GenAI workloads in production, covering model optimization, workflow automation, scaling, GPU efficiency, observability, security, and resilience. By the end of this book, you’ll be fully equipped to confidently design and deploy scalable, secure, resilient, and cost-effective GenAI solutions on Kubernetes.What you will learn Explore GenAI deployment stack, agents, RAG, and model fine-tuning Implement HPA, VPA, and Karpenter for efficient autoscaling Optimize GPU usage with fractional allocation, MIG, and MPS setups Reduce cloud costs and monitor spending with Kubecost tools Secure GenAI workloads with RBAC, encryption, and service meshes Monitor system health and performance using Prometheus and Grafana Ensure high availability and disaster recovery for GenAI systems Automate GenAI pipelines for continuous integration and delivery Who this book is for This book is for solutions architects, product managers, engineering leads, DevOps teams, GenAI developers, and AI engineers. It's also suitable for students and academics learning about GenAI, Kubernetes, and cloud-native technologies. A basic understanding of cloud computing and AI concepts is needed, but no prior knowledge of Kubernetes is required.