Название: Kubernetes for Python DevelopersАвтор: Oz Tiram
Издательство: Independently published
Год: 2023
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Python is awesome, Kubernetes is awesome too. Use the combined power of both to create highly available Python application, declarative data processing task, and all sort of automation tasks.
This book will teach you not only how to use Kubernetes for your Python applications, but also how you can extend Kubernetes using Python.
Originally developed internally by google as a project known Borg, Kubernetes is an open source platform, to schedule workloads on a cluster of computers. The most basic unit of work that kubernetes understands is a Pod, which is originally, one or more docker containers with dedicated amount of compute resources. These originally include CPU, RAM, network and disks. This unit of work is the source of viewing Kubernetes as a Container Scheduler. However, since the inception and birth of Kubernetes, work units have become more than just docker containers. In the meanwhile Kubernetes, can schedule a lot of things. For example LXC containers, Full blown virtual machines, lightweight virtual machines, and even FreeBSD Jails. As such, we should view Kubernetes as a Workload Scheduler or as a distributed kernel, where we ask the system for compute resources to execute different tasks. Kubernetes then tries to fulfill our request by allocating compute resources and running our tasks.
There are three ways in which we can extend Kubernetes using Python. The first one is adding functionallity to kubectl via plugins. The second one modifies the behaviour of the API server by adding webhooks. The third one allows us to store objects in the Kubernetes database using CustomResourceDefinition.
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