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Containerization with LXC
Containerization with LXC

Containerization with LXC: Build, manage, and configure Linux containers

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Profile Icon Konstantin Ivanov
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Can$69.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (2 Ratings)
Paperback Feb 2017 352 pages 1st Edition
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Arrow left icon
Profile Icon Konstantin Ivanov
Arrow right icon
Can$69.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (2 Ratings)
Paperback Feb 2017 352 pages 1st Edition
eBook
Can$38.99 Can$55.99
Paperback
Can$69.99
Subscription
Free Trial
eBook
Can$38.99 Can$55.99
Paperback
Can$69.99
Subscription
Free Trial

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Containerization with LXC

Chapter 1. Introduction to Linux Containers

Nowadays, deploying applications inside some sort of a Linux container is a widely adopted practice, primarily due to the evolution of the tooling and the ease of use it presents. Even though Linux containers, or operating-system-level virtualization, in one form or another, have been around for more than a decade, it took some time for the technology to mature and enter mainstream operation. One of the reasons for this is the fact that hypervisor-based technologies such as KVM and Xen were able to solve most of the limitations of the Linux kernel during that period and the overhead it presented was not considered an issue. However, with the advent of kernel namespaces and control groups (cgroups) the notion of a light-weight virtualization became possible through the use of containers.

In this chapter, I'll cover the following topics:

  • Evolution of the OS kernel and its early limitations
  • Differences between containers and platform virtualization
  • Concepts and terminology related to namespaces and cgroups
  • An example use of process resource isolation and management with network namespaces and cgroups

The OS kernel and its early limitations

The current state of Linux containers is a direct result of the problems that early OS designers were trying to solve – managing memory, I/O, and process scheduling in the most efficient way.

In the past, only a single process could be scheduled for work, wasting precious CPU cycles if blocked on an I/O operation. The solution to this problem was to develop better CPU schedulers, so more work can be allocated in a fair way for maximum CPU utilization. Even though the modern schedulers, such as the Completely Fair Scheduler (CFS) in Linux do a great job of allocating fair amounts of time to each process, there's still a strong case for being able to give higher or lower priority to a process and its subprocesses. Traditionally, this can be accomplished by the nice() system call, or real-time scheduling policies, however, there are limitations to the level of granularity or control that can be achieved.

Similarly, before the advent of virtual memory, multiple processes would allocate memory from a shared pool of physical memory. The virtual memory provided some form of memory isolation per process, in the sense that processes would have their own address space, and extend the available memory by means of a swap, but still there wasn't a good way of limiting how much memory each process and its children can use.

To further complicate the matter, running different workloads on the same physical server usually resulted in a negative impact on all running services. A memory leak or a kernel panic could cause one application to bring the entire operating system down. For example, a web server that is mostly memory bound and a database service that is I/O heavy running together became problematic. In an effort to avoid such scenarios, system administrators would separate the various applications between a pool of servers, leaving some machines underutilized, especially at certain times during the day, when there was not much work to be done. This is a similar problem as a single running process blocked on I/O operation is a waste of CPU and memory resources.

The solution to these problems is the use of hypervisor based virtualization, containers, or the combination of both.

The case for Linux containers

The hypervisor as part of the operating system is responsible for managing the life cycle of virtual machines, and has been around since the early days of mainframe machines in the late 1960s. Most modern virtualization implementations, such as Xen and KVM, can trace their origins back to that era. The main reason for the wide adoption of these virtualization technologies around 2005 was the need to better control and utilize the ever-growing clusters of compute resources. The inherited security of having an extra layer between the virtual machine and the host OS was a good selling point for the security minded, though as with any other newly adopted technology there were security incidents.

Nevertheless, the adoption of full virtualization and paravirtulization significantly improved the way servers are utilized and applications provisioned. In fact, virtualization such as KVM and Xen is still widely used today, especially in multitenant clouds and cloud technologies such as OpenStack.

Hypervisors provide the following benefits, in the context of the problems outlined earlier:

  • Ability to run different operating systems on the same physical server
  • More granular control over resource allocation
  • Process isolation – a kernel panic on the virtual machine will not effect the host OS
  • Separate network stack and the ability to control traffic per virtual machine
  • Reduce capital and operating cost, by simplification of data center management and better utilization of available server resources

Arguably the main reason against using any sort of virtualization technology today is the inherited overhead of using multiple kernels in the same OS. It would be much better, in terms of complexity, if the host OS can provide this level of isolation, without the need for hardware extensions in the CPU, or the use of emulation software such as QEMU, or even kernel modules such as KVM. Running an entire operating system on a virtual machine, just to achieve a level of confinement for a single web server, is not the most efficient allocation of resources.

Over the last decade, various improvements to the Linux kernel were made to allow for similar functionality, but with less overhead – most notably the kernel namespaces and cgroups. One of the first notable technologies to leverage those changes was LXC, since kernel 2.6.24 and around the 2008 time frame. Even though LXC is not the oldest container technology, it helped fuel the container revolution we see today.

The main benefits of using LXC include:

  • Lesser overheads and complexity than running a hypervisor
  • Smaller footprint per container
  • Start times in the millisecond range
  • Native kernel support

It is worth mentioning that containers are not inherently as secure as having a hypervisor between the virtual machine and the host OS. However, in recent years, great progress has been made to narrow that gap using Mandatory Access Control (MAC) technologies such as SELinux and AppArmor, kernel capabilities, and cgroups, as demonstrated in later chapters.

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Key benefits

  • Get the most practical and up-to-date resource on LXC and take full advantage of what Linux containers can offer in the day-to-day operations of large-scale applications
  • Learn how to deploy and administer various workloads such as web applications inside LXC
  • Save your organization time and money by building robust and secure containers and by speeding the deployment process of your software

Description

In recent years, containers have gained wide adoption by businesses running a variety of application loads. This became possible largely due to the advent of kernel namespaces and better resource management with control groups (cgroups). Linux containers (LXC) are a direct implementation of those kernel features that provide operating system level virtualization without the overhead of a hypervisor layer. This book starts by introducing the foundational concepts behind the implementation of LXC, then moves into the practical aspects of installing and configuring LXC containers. Moving on, you will explore container networking, security, and backups. You will also learn how to deploy LXC with technologies like Open Stack and Vagrant. By the end of the book, you will have a solid grasp of how LXC is implemented and how to run production applications in a highly available and scalable way.

Who is this book for?

This book is for Linux engineers and software developers who are looking to deploy applications in a fast, secure, and scalable way for use in testing and production.

What you will learn

  • Deep dive into the foundations of Linux containers with kernel namespaces and cgroups
  • Install, configure, and administer Linux containers with LXC and libvirt
  • Begin writing applications using Python libvirt bindings
  • Take an in-depth look at container networking
  • Set up monitoring and security with LXC
  • Build and deploy a highly available application with LXC in the cloud
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 28, 2017
Length: 352 pages
Edition : 1st
Language : English
ISBN-13 : 9781785888946
Vendor :
Linux Foundation
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Publication date : Feb 28, 2017
Length: 352 pages
Edition : 1st
Language : English
ISBN-13 : 9781785888946
Vendor :
Linux Foundation
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Table of Contents

9 Chapters
1. Introduction to Linux Containers Chevron down icon Chevron up icon
2. Installing and Running LXC on Linux Systems Chevron down icon Chevron up icon
3. Command-Line Operations Using Native and Libvirt Tools Chevron down icon Chevron up icon
4. LXC Code Integration with Python Chevron down icon Chevron up icon
5. Networking in LXC with the Linux Bridge and Open vSwitch Chevron down icon Chevron up icon
6. Clustering and Horizontal Scaling with LXC Chevron down icon Chevron up icon
7. Monitoring and Backups in a Containerized World Chevron down icon Chevron up icon
8. Using LXC with OpenStack Chevron down icon Chevron up icon
A. LXC Alternatives to Docker and OpenVZ Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(2 Ratings)
5 star 100%
4 star 0%
3 star 0%
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1 star 0%
Mirko Longa Soto Sep 27, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
El autor me sorprende con un libro cargado de ejemplos, pasando desde los fundamentos hasta ejemplos concretos de poner en servicio sistemas completos de nodos redundantes con balanceadores de carga incluido y todo con LXC, un buen libro para tener en cuenta.
Amazon Verified review Amazon
Sean Embry May 15, 2017
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If you need to know containerization, this is the go to source for you. Konstantin knows his stuff and with a clear and incisive writing style, makes sure you know it to.
Amazon Verified review Amazon
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