Podman for DevOps: Secure Rootless Containers for DevOps & AI Workflows

$41.99

A practical guide to secure, rootless containerization with Podman, Buildah, and Skopeo, covering Kubernetes, systemd, container security, Docker migration, and local AI workflows.

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Podman for DevOps: Secure Rootless Containers for DevOps & AI Workflows

Podman for DevOps provides a practical introduction to building, managing, securing, and deploying containers on Linux using Podman and its surrounding ecosystem. The book focuses on modern container workflows and shows how Podman can be integrated with DevOps infrastructure, Kubernetes, systemd, and local AI environments.

Starting with the fundamentals of container technology, the guide introduces Podman and compares it with Docker to help readers understand the differences between the two approaches. Readers then progress from running their first containers to managing container lifecycles, creating images, configuring storage and networking, securing workloads, troubleshooting environments, and integrating containers into broader development and operations workflows.

Podman & Container Fundamentals

Learn the foundations of container technology and understand how Podman approaches container management. The guide walks through running containers, managing their lifecycle, handling storage, and working with Linux-based container environments.

Build & Manage Container Images

Explore Buildah for creating container images from scratch and integrating container builds with existing application processes. Use Skopeo to inspect and transfer images between container registries while developing a more controlled image management workflow.

Rootless Security & Linux Integration

Learn how to strengthen container environments using rootless Podman, SELinux, and signed images. The book also covers container networking, system-level integration, monitoring, and troubleshooting with native Linux tools and the Podman command-line interface.

Kubernetes, systemd & DevOps Workflows

Discover how container workloads can interact with systemd and Kubernetes. The guide also provides practical migration considerations for existing Docker workloads, helping readers transition container-based applications into Podman-centered environments.

Podman Desktop & Local AI

The book extends beyond traditional container workflows with Podman Desktop, providing a graphical approach to managing containers and Kubernetes resources. It also introduces AI/ML workflows through Podman AI Lab, allowing readers to experiment with and manage AI models locally in containerized environments.

Technologies & Topics Covered

Podman
Docker
Buildah
Skopeo
Rootless Containers
SELinux
Image Signing
Container Networking
systemd
Kubernetes
Podman Desktop
AI/ML Workflows

What You Will Learn

  • Understand the fundamentals and evolution of container technology
  • Compare Podman and Docker and understand their different approaches
  • Run and manage containers across Linux environments
  • Build container images from scratch using Buildah
  • Inspect and transfer container images using Skopeo
  • Secure containers with rootless execution, SELinux, and signed images
  • Troubleshoot and monitor containers using Linux tools and Podman CLI
  • Configure container networking and integrate workloads with systemd
  • Manage Kubernetes resources and container workloads
  • Explore migration techniques for existing Docker environments
  • Use Podman Desktop to manage container and Kubernetes environments
  • Explore local AI/ML workloads through Podman AI Lab

From Containers to Production Workflows

The guide connects container fundamentals with real DevOps practices, covering image creation, registry workflows, security, networking, orchestration, system integration, troubleshooting, and graphical container management.

Who This Book Is For

This book is designed for cloud developers, DevOps professionals, system administrators, and technical users who want to learn Podman and modern container workflows. Basic Linux knowledge is assumed, while previous Docker, container, or cloud experience is helpful but not required.

Build Secure. Run Rootless. Automate with Confidence.

From Linux containers and secure image management to Kubernetes, systemd, DevOps automation, and local AI experimentation, this guide provides a practical path toward modern containerized development and operations.

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