Könyv The Ultimate Docker Container Book - Fourth Edition Dr. Gabriel N. Schenker

The Ultimate Docker Container Book - Fourth Edition

Build, ship, deploy, and scale containerized applications with Docker, Kubernetes, and the cloud

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 9-15 napon belül
17 977 Ft
Master Docker, Kubernetes, and cloud-native container deployment with this hands-on guide. Learn ima...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2026
oldal
768
EAN
9781805804390
ISBN
1805804391
Enbook ID
51534028
Súly
1297
Méretek
191 x 235 x 39

Teljes leírás

Master Docker, Kubernetes, and cloud-native container deployment with this hands-on guide. Learn image creation, orchestration, security, monitoring, and real-world production patterns for scalable applications

Key Features:

- Learn Docker and Kubernetes from first principles through hands-on, production-focused examples

- Build secure, scalable container platforms with orchestration, governance, and cloud best practices

- Apply modern DevOps and AI-driven automation patterns in real-world enterprise scenarios

Book Description:

Containers have become the foundation of modern software platforms, transforming how applications are built, shipped, secured, and operated. However, as systems grow more distributed and regulated, using containers effectively requires more than basic commands; it requires architectural understanding, security awareness, and operational discipline.

The Ultimate Docker Container Book, Fourth Edition, takes you from container fundamentals to running production-grade platforms. Starting from first principles, the book explains how containers reduce friction in the software supply chain and progressively introduces images, networking, state management, testing, and debugging. You will learn how to design and operate distributed applications, manage multi-service systems, and apply orchestration using Kubernetes. This fourth edition places a stronger emphasis on security, governance, and compliance, reflecting real-world enterprise requirements. It also explores AI and automation in DevOps, showing how modern teams can enhance delivery and operations responsibly.

Whether you are a developer, DevOps engineer, platform engineer, or software architect, this book equips you with the skills and understanding needed to build secure, scalable, and future-ready container platforms.

What You Will Learn:

- Understand containers and their role in the modern software supply chain

- Build, run, debug, and test containerized applications effectively

- Create optimized and secure container images

- Manage state, configuration, and networking for containers

- Design and operate distributed applications using orchestration

- Deploy and secure applications with Kubernetes in production

- Run container platforms on major cloud providers

- Apply security, governance, and AI-driven automation best practices

Who this book is for:

This book is for Linux professionals, system administrators, DevOps engineers, operations engineers, software architects, and developers looking to master Docker, Kubernetes, and cloud-native containerization. A basic understanding of Docker is useful, but no prior Kubernetes experience is required. Familiarity with Bash or PowerShell helps but is not mandatory.

Table of Contents

- What Are Containers and Why Should I Use Them?

- Setting Up a Working Environment

- Mastering Containers

- Creating and Managing Container Images

- Data Volumes and Configuration

- Debugging Code Running in Containers

- Testing Applications Running in Containers

- Increasing Productivity with Docker Tips and Tricks

- Learning about Distributed Application Architecture

- Using Single-Host Networking

- Managing Containers with Docker Compose

- Shipping Logs and Monitoring Containers

- Securing Containers

- Introducing Container Orchestration

- Introducing Kubernetes

- Deploying, Updating, and Securing an Application with Kubernetes

- Running a Containerized Application in the Cloud

- Monitoring and Troubleshooting an Application Running in Production

- AI and Automation in DevOps

- Real-World Containerization Patterns

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