The term scheduling refers to assigning resources to a task that needs to be carried out. Kubernetes does way more than keeping our containers running; it proactively watches resource usage of a cluster and carefully schedules pods to the available resources. This type of scheduler-based infrastructure is the key that enables us to run workloads more efficiently than a classical infrastructure.

DevOps with Kubernetes
By :

DevOps with Kubernetes
By:
Overview of this book
Kubernetes has been widely adopted across public clouds and on-premise data centers. As we're living in an era of microservices, knowing how to use and manage Kubernetes is an essential skill for everyone in the IT industry.
This book is a guide to everything you need to know about Kubernetes—from simply deploying a container to administrating Kubernetes clusters wisely. You'll learn about DevOps fundamentals, as well as deploying a monolithic application as microservices and using Kubernetes to orchestrate them. You will then gain an insight into the Kubernetes network, extensions, authentication and authorization.
With the DevOps spirit in mind, you'll learn how to allocate resources to your application and prepare to scale them efficiently. Knowing the status and activity of the application and clusters is crucial, so we’ll learn about monitoring and logging in Kubernetes. Having an improved ability to observe your services means that you will be able to build a continuous delivery pipeline with confidence. At the end of the book, you'll learn how to run managed Kubernetes services on three top cloud providers: Google Cloud Platform, Amazon Web Services, and Microsoft Azure.
Table of Contents (14 chapters)
Preface
Introduction to DevOps
DevOps with Containers
Getting Started with Kubernetes
Managing Stateful Workloads
Cluster Administration and Extension
Kubernetes Network
Monitoring and Logging
Resource Management and Scaling
Continuous Delivery
Kubernetes on AWS
Kubernetes on GCP
Kubernetes on Azure
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