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Containers in OpenStack

Containers in OpenStack

By : Kumar Singh, Kumari
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Containers in OpenStack

Containers in OpenStack

5 (3)
By: Kumar Singh, Kumari

Overview of this book

Containers are one of the most talked about technologies of recent times. They have become increasingly popular as they are changing the way we develop, deploy, and run software applications. OpenStack gets tremendous traction as it is used by many organizations across the globe and as containers gain in popularity and become complex, it’s necessary for OpenStack to provide various infrastructure resources for containers, such as compute, network, and storage. Containers in OpenStack answers the question, how can OpenStack keep ahead of the increasing challenges of container technology? You will start by getting familiar with container and OpenStack basics, so that you understand how the container ecosystem and OpenStack work together. To understand networking, managing application services and deployment tools, the book has dedicated chapters for different OpenStack projects: Magnum, Zun, Kuryr, Murano, and Kolla. Towards the end, you will be introduced to some best practices to secure your containers and COE on OpenStack, with an overview of using each OpenStack projects for different use cases.
Table of Contents (11 chapters)
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Introduction to containers

Linux containers are operating system level virtualization which provides multiple isolated environments on a single host. Rather than using dedicated guest OS like VMs, they share the host OS kernel and hardware.

Before containers came into the limelight, multitasking and traditional hypervisor-based virtualization were used, mainly. Multitasking allows multiple applications to run on the same host machine, however, it provides less isolation between different applications.

Traditional hypervisor-based virtualization allows multiple guest machines to run on top of host machines. Each of these guest machines runs their own operating system. This approach provides the highest level of isolation as well as the ability to run different operating systems simultaneously on the same hardware.

However, it comes with a number of disadvantages:

  • Each operating system takes a while to boot
  • Each kernel takes up its own memory and CPU, so the overhead of virtualization is large
  • The I/O is less efficient as it has to pass through different layers
  • Resource allocation is not done on a fine-grained basis, for example, memory is allocated to a virtual machine at the time of creation, and memory left idle by one virtual machine can't be used by others
  • The maintenance load of keeping each kernel up to date is large

The following figure explains the concept of virtualization:

Containers provide the best of both words. To provide an isolated and secure environment for containers, they use Linux kernel features such as chroot, namespaces, CGroups, AppArmor, SELinux profiles, and so on.

The secure access to the host machine kernel from the container is ensured by Linux security modules.. Boot is faster as there is no kernel or operating system to start up. Resource allocation is fine-grained and handled by the host kernel, allowing the effective per container quality of service (QoS). The next figure explains container virtualization.

However, there are some disadvantages of containers compared to traditional hypervisor-based virtualization: guest operating systems are limited to those which can use the same kernel.

Traditional hypervisors provide additional isolation that is not available in containers, meaning the noisy neighbor problem is more significant in containers than it is with a traditional hypervisor:

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