Book Image

Mastering Linux Administration

By : Alexandru Calcatinge, Julian Balog
Book Image

Mastering Linux Administration

By: Alexandru Calcatinge, Julian Balog

Overview of this book

Linux plays a significant role in modern data center management and provides great versatility in deploying and managing your workloads on-premises and in the cloud. This book covers the important topics you need to know about for your everyday Linux administration tasks. The book starts by helping you understand the Linux command line and how to work with files, packages, and filesystems. You'll then begin administering network services and hardening security, and learn about cloud computing, containers, and orchestration. Once you've learned how to work with the command line, you'll explore the essential Linux commands for managing users, processes, and daemons and discover how to secure your Linux environment using application security frameworks and firewall managers. As you advance through the chapters, you'll work with containers, hypervisors, virtual machines, Ansible, and Kubernetes. You'll also learn how to deploy Linux to the cloud using AWS and Azure. By the end of this Linux book, you'll be well-versed with Linux and have mastered everyday administrative tasks using workflows spanning from on-premises to the cloud. If you also find yourself adopting DevOps practices in the process, we'll consider our mission accomplished.
Table of Contents (20 chapters)
Section 1: Linux Basic Administration
Section 2: Advanced Linux Server Administration
Section 3: Cloud Administration

Introducing Kubernetes

Kubernetes is an open source container orchestrator initially developed by Google. Assuming an application uses containerized microservices, a container orchestration system provides the following features:

  • Elastic orchestration: Automatically starting and stopping application services (containers) based on specific requirements and conditions – for example, launching multiple web server instances with an increasing number of requests and eventually terminating servers when the number of requests drops below a certain threshold
  • Workload management: Optimally deploying and distributing application services across the underlying cluster to ensure mandatory dependencies and redundancy – for example, running a web server endpoint on each cluster node for high availability
  • Infrastructure abstraction: Providing container runtime, networking, and load-balancing capabilities – for example, distributing the load among multiple web...