Book Image

Kubernetes on AWS

By : Ed Robinson
Book Image

Kubernetes on AWS

By: Ed Robinson

Overview of this book

Docker containers promise to radicalize the way developers and operations build, deploy, and manage applications running on the cloud. Kubernetes provides the orchestration tools you need to realize that promise in production. Kubernetes on AWS guides you in deploying a production-ready Kubernetes cluster on the AWS platform. You will then discover how to utilize the power of Kubernetes, which is one of the fastest growing platforms for production-based container orchestration, to manage and update your applications. Kubernetes is becoming the go-to choice for production-grade deployments of cloud-native applications. This book covers Kubernetes from first principles. You will start by learning about Kubernetes' powerful abstractions - Pods and Services - that make managing container deployments easy. This will be followed by a guided tour through setting up a production-ready Kubernetes cluster on AWS, while learning the techniques you need to successfully deploy and manage your own applications. By the end of the book, you will have gained plenty of hands-on experience with Kubernetes on Amazon Web Services. You will also have picked up some tips on deploying and managing applications, keeping your cluster and applications secure, and ensuring that your whole system is reliable and resilient to failure.
Table of Contents (12 chapters)

DaemonSet

If you want a single instance of a particular pod to be running on every node of your cluster (or a subset of your nodes), then you need to use a DaemonSet. When you schedule a DaemonSet to your cluster, an instance of your pod will be scheduled to every node, and when you add new nodes, the pod is scheduled there too. DaemonSet are very useful for providing ubiquitous services that need to be available everywhere on your cluster. You might use DaemonSet to provide services such as:

  • An agent to ingest and ship logs, such as Fluentd or Logstash
  • A monitoring agent, such as collectd, Prometheus Node Exporter, datadog, NewRelic or SysDig, and so on
  • A daemon for a distributed storage system, such as Gluster or Ceph
  • Components for an overlay network, such as Calico or Flannel
  • Per node components, a virtualization tool, such as OpenStack

Before Kubernetes, these sorts of...