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资源说明：Chapter 1, Welcome to Docker Swarm, introduces Swarm, and explains why you need a
clustering solution for your containers. It illustrates the Swarm features, giving a high-level
description of its architecture. We define some use cases and describe how Swarm is
different from Fleet, Kubernetes and Mesos. The chapter proceeds with the Docker tools
installation and finally with two Swarms provisionings: A local Swarm Standalone and a
remote Swarm Mode cluster on DigitalOcean.
Chapter 2, Discover the Discovery Services, is a descriptive and mostly abstract chapter. We’ll
learn what discovery mechanisms and consensus algorithms are, and why they are crucial
for distributed systems. We’ll describe in detail Raft and its implementation Etcd, the
consensus mechanism included in Swarm Mode. We will also show the limitations of the
discovery mechanism used in Chapter 1, Welcome to Docker Swarm, by extending the local
tiny example with Consul, re deploying it.
Chapter 3, Meeting Docker Swarm Mode, is about the new Docker kit that allows to create
task clusters of any size. We will introduce Swarmit, the foundation of Docker Swarm
Mode, showing how it works in Docker 1.12+, discuss its architecture, its concepts, how it’s
different from the “old” Swarm, and how it organizes workloads by abstracting services
and tasks.
Chapter 4, Creating a Production-Grade Swarm, shows and discusses the community-driven
projects Swarm2k and Swarm3k, our 2,300 and 4,800 nodes Swarm clusters experiments,
which ran hundreds of thousands of containers. We demonstrate how such huge clusters
were planned, provisioned, and summarize the lessons we learned.
Chapter 5, Administer a Swarm Cluster, is a chapter about infrastructure. We will show how
to increase or decrease Swarms sizes, how to promote and demote nodes, and how to
update clusters and nodes properties. We’ll introduce Shipyard and Portainer.io as
graphical UIs for Swarm.
Chapter 6, Deploy Real Applications on Swarm, is where we will put real applications in
motion on Swarm and where we add to the discussion some notes about Compose, Docker
Stacks and Docker Application Bundles. We will show the typical deployment workflow,
how to filter and schedule containers over the cluster, launch them as services, handle
containers as tasks. We’ll start defining a web service with Nginx, then we’ll deploy a
mandatory Wordpress with MySQL example. We’ll finally move on with a more realistic
app: Apache Spark.
Chapter 7, Scale Up Your Platform, will develop new topics from the previous chapter. Here
we’ll introduce Flocker to add storage capacity to Spark on Swarm, and we’ll show how to
install and use it automatically at a scale in conjunction with Swarm. We’ll refine our Spark
example by running some real big data jobs and setting up a basic monitoring system for
this infrastructure.
Chapter 8, Exploring Additional Features to Swarm, discusses some advanced topics
important to Swarm, such as Libnetwork and Libkv.
Chapter 9, Securing a Swarm Cluster and Docker Software Supply Chain, will focus on security
considerations for Swarm clusters. Among the arguments, certificates, firewalling concepts
for platform, and a mention to Notary.
Chapter 10, Swarm and the Cloud, is a chapter illustrating the most popular options for
running Swarm on cloud providers. We’ll install Swarm on AWS and Azure before
introducing the Docker Datacenter, and we’ll finally move to OpenStack showing how to
install and manage Swarms on the top of Magnum, the Container as a Service solution for
OpenStack.
Chapter 11, What is Next?, concludes the discussion with an overview on the next Docker
orchestration trends, such as software defined infrastructures, Infrakit, unikernels,
Containers as a Service. The adventure continues!
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