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Containers in OpenStack
Containers in OpenStack

Containers in OpenStack: Leverage OpenStack services to make the most of Docker, Kubernetes and Mesos

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Containers in OpenStack

Working with Container Orchestration Engines

In this chapter, we will be looking at the Container Orchestration Engine (COE). Container Orchestration Engines are tools which help in managing many containers running on multiple hosts.

In this chapter, we will be covering the following topics:

  • Introduction to COE
  • Docker Swarm
  • Apache Mesos
  • Kubernetes
  • Kubernetes installation
  • Kubernetes hands-on

Introduction to COE

Containers provide users with an easy way to package and run their applications. Packaging involves defining the library and tools that are necessary for a user's application to run. These packages, once converted to images, can be used to create and run containers. These containers can be run anywhere, whether it's on developer laptops, QA systems, or production machines, without any change in environment. Docker and other container runtime tools provide the facility to manage the life cycle of such containers.

Using these tools, users can build and manage images, run containers, delete containers, and perform other container life cycle operations. But these tools can only manage one container on a single host. When we deploy our application on multiple containers and multiple hosts, we need some kind of automation tool. This type of automation is...

Docker Swarm

Docker Swarm is a native orchestration tool from Docker itself. It manages a pool of Docker hosts and turns them into a single virtual Docker host. Docker Swarm provides a standard Docker API to manage containers on the cluster. It's easy for users to move to Docker Swarm if they are already using Docker to manage their containers.

Docker Swarm follows a swap, plug, and play principle. This provides pluggable scheduling algorithms, a broad registry, and discovery backend support in the cluster. Users can use various scheduling algorithms and discovery backends as per their needs. The following diagram represents the Docker Swarm architecture:

Docker Swarm components

The following sections explain the various...

Apache Mesos

Apache Mesos is an open source, fault-tolerant cluster manager. It manages a set of nodes called slaves and offers their available computing resources to frameworks. Frameworks take the resource availability from the master and launches the tasks on the slaves. Marathon is one such framework, which runs containerized applications on the Mesos cluster. Together, Mesos and Marathon become a container orchestration engine like Swarm or Kubernetes.

The following diagram represents the whole architecture:

Apache Mesos and its components

Here is a list of Apache Mesos components:

Master

...

Kubernetes

Kubernetes is a container orchestration engine created by Google, designed to automate the deployment, scaling, and operating of containerized applications. It is one of the fastest developing COEs because it provides a reliable platform to build distributed applications on a massive scale. Kubernetes automates your application, manages its life cycle, and maintains and tracks resource allocation in a cluster of servers. It can run application containers on physical or virtual machine clusters.

It provides a unified API to deploy web applications, databases, and batch jobs. It comprises of a rich set of complex features:

  • Auto-scaling
  • Self-healing infrastructure
  • Configuration and updating of batch jobs
  • Service discovery and load balancing
  • Application life cycle management
  • Quota management
...

Kubernetes installation

Kubernetes can run on various platforms, from laptops and VMs on a cloud provider to a rack of bare metal servers. There are multiple solutions today to install and run Kubernetes clusters. Read the Kubernetes documentation to find the best solution for your particular use case.

In this chapter, we will use kubeadm to bring up a Kubernetes cluster on Ubuntu 16.04+. kubeadm can be used to easily bring up a cluster with a single command per machine.

In this installation, we will use a tool called kubeadm, which is a part of Kubernetes. The prerequisites for installing kubeadm are:

  • One or more machines running Ubuntu 16.04+
  • Minimum of 1 GB or more of RAM per machine
  • Full network connectivity between all machines in the cluster

All of the machines in the cluster need the following components to be installed:

  1. Install Docker on all of the machines. As per...

Introduction to COE


Containers provide users with an easy way to package and run their applications. Packaging involves defining the library and tools that are necessary for a user's application to run. These packages, once converted to images, can be used to create and run containers. These containers can be run anywhere, whether it's on developer laptops, QA systems, or production machines, without any change in environment. Docker and other container runtime tools provide the facility to manage the life cycle of such containers.

Using these tools, users can build and manage images, run containers, delete containers, and perform other container life cycle operations. But these tools can only manage one container on a single host. When we deploy our application on multiple containers and multiple hosts, we need some kind of automation tool. This type of automation is generally called orchestration. Orchestration tools provide a number of features, including:

  • Provisioning and managing hosts...

Docker Swarm


Docker Swarm is a native orchestration tool from Docker itself. It manages a pool of Docker hosts and turns them into a single virtual Docker host. Docker Swarm provides a standard Docker API to manage containers on the cluster. It's easy for users to move to Docker Swarm if they are already using Docker to manage their containers.

Docker Swarm follows a swap, plug, and play principle. This provides pluggable scheduling algorithms, a broad registry, and discovery backend support in the cluster. Users can use various scheduling algorithms and discovery backends as per their needs. The following diagram represents the Docker Swarm architecture:

Docker Swarm components

The following sections explain the various components in Docker Swarm.

Node

Node is an instance of the Docker host participating in the Swarm cluster. There can be one or multiple nodes in a single Swarm cluster deployment. Nodes are categorized into Manager and Worker based on their roles in the system.

Manager node

The...

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Key benefits

  • Gets you acquainted with containerization in private cloud
  • Learn to effectively manage and secure your containers in OpenStack
  • Practical use cases on container deployment and management using OpenStack components

Description

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.

Who is this book for?

This book is targeted towards cloud engineers, system administrators, or anyone from the production team who works on OpenStack cloud. This book act as an end to end guide for anyone who wants to start using the concept of containerization on private cloud. Some basic knowledge of Docker and Kubernetes will help.

What you will learn

  • •Understand the role of containers in the OpenStack ecosystem
  • •Learn about containers and different types of container runtimes tools.
  • •Understand containerization in OpenStack with respect to the deployment framework, platform services, application deployment, and security
  • •Get skilled in using OpenStack to run your applications inside containers
  • •Explore the best practices of using containers in OpenStack.
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Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 21, 2017
Length: 176 pages
Edition : 1st
Language : English
ISBN-13 : 9781788394383
Vendor :
OpenStack
Languages :
Tools :

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Estimated delivery fee Deliver to Ecuador

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Premium delivery 3 - 6 business days

$40.95
(Includes tracking information)

Product Details

Publication date : Dec 21, 2017
Length: 176 pages
Edition : 1st
Language : English
ISBN-13 : 9781788394383
Vendor :
OpenStack
Languages :
Tools :

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Frequently bought together


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Total $ 143.97
OpenStack Cloud Computing Cookbook
$54.99
Containers in OpenStack
$38.99
Mastering OpenStack
$49.99
Total $ 143.97 Stars icon

Table of Contents

10 Chapters
Working with Containers Chevron down icon Chevron up icon
Working with Container Orchestration Engines Chevron down icon Chevron up icon
OpenStack Architecture Chevron down icon Chevron up icon
Containerization in OpenStack Chevron down icon Chevron up icon
Magnum – COE Management in OpenStack Chevron down icon Chevron up icon
Zun – Container Management in OpenStack Chevron down icon Chevron up icon
Kuryr – Container Plugin for OpenStack Networking Chevron down icon Chevron up icon
Murano – Containerized Application Deployment on OpenStack Chevron down icon Chevron up icon
Kolla – Containerized Deployment of OpenStack Chevron down icon Chevron up icon
Best Practices for Containers and OpenStack 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
(3 Ratings)
5 star 100%
4 star 0%
3 star 0%
2 star 0%
1 star 0%
l0cat0rX64 May 18, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book definitely hits the spot.There's quite a bit of depth and time given to all aspects of the topic. The authors have been active contributors to the OpenTable projects that they write about, and that shows!All in all, I would highly recommend this book to anyone working towards containers and the private cloud.
Amazon Verified review Amazon
Yuanying Feb 07, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I'm using this book for new members of our team.This book is totally covered to understand basic of container concept for OpenStack.
Amazon Verified review Amazon
f. e. nar Jan 24, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
It is a quick and easy read, however missing (hopefully in 2nd revision to be covered);(1) machine containers (LXC/LXD) for both deploying openstack with containers and deploying workloads on openstack with nova-lxd hypervisor,(2) totally skipping Helm (no mention on openstack-helm as well) and no reference on kolla-kubernetes dependency on helm,(3) most of the use for containers on openstack is for CI/CD pipelines and no relevant usecase mentioned,(4) no mention on telemetry for container workloads ...ps: I am giving 5 stars still to encourage authors as writing a book is not a easy job...
Amazon Verified review Amazon
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