Kubernetes on AWS (Paperback or Softback)
Robinson, Ed
Sold by BargainBookStores, Grand Rapids, MI, U.S.A.
AbeBooks Seller since 23 January 2002
New - Soft cover
Condition: New
Quantity: 5 available
Add to basketSold by BargainBookStores, Grand Rapids, MI, U.S.A.
AbeBooks Seller since 23 January 2002
Condition: New
Quantity: 5 available
Add to basketKubernetes on AWS 1.03.
Seller Inventory # BBS-9781788390071
Learn to implement container orchestration on AWS with ease
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.
If you're a cloud engineer, cloud solution provider, sysadmin, site reliability engineer, or developer with an interest in DevOps and are looking for an extensive guide to running Kubernetes in the AWS environment, this book is for you. Though any previous knowledge of Kubernetes is not expected, some experience with Linux and Docker containers would be a bonus.
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