Kubernetes Operators Intermediate
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Build on your Kubernetes skills with an intermediate course on Kubernetes Operators. Learn to automate deployment and management of complex applications using custom controllers for better operational efficiency.
At a Glance
This course serves as an introduction to Kubernetes operators. Operators are a design pattern for building and deploying an application onto a Kubernetes cluster such that it can be used in the same manner as core Kubernetes resources.
This course is of interest to anyone who wants to learn how to deploy and manage applications on Kubernetes using a more Kubernetes-native style, such as Kubernetes application devlopers, architects, or operators. It is also of interest to consumers of Kubernetes applications users interested in learning how some of the applications they use work internalally. It features hands-on labs that have you constructing and deploying real operators on a live Kubernetes cluster.
- What a Kubernetes operator is
- Why you would want to use an operator
- The basic internal architecture of an operator
- How to build a basic operator using
- Golang
- Helm
- Ansible
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COURSE SYLLABUS
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Module 1 – Intro to Operators and Building your first Golang operator
- Overview of operators
- Overview of basic Kubernetes architecture
- Architecture of an operator
- Hands-on Lab
- Build a Golang operator with Operator-sdk
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Module 2 – Building your first Helm operator
- Overview of Helm operators
- Hands-on Lab
- Build a Helm operator with Operator-sdk
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Module 3 – Building your first Ansible operator
- Overview of Ansible operators
- Hands-on Lab
- Build an Ansible operator with Operator-sdk
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REQUIREMENTS
- Basic familiarity with Kubernetes (i.e. creating/updating/deleting Kubernetes resources such as Pods and Services)
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The labs in this course cover the creation, deployment, and use of operators on a Kubernetes cluster. It assumes you are already familiar with the basics of Kubernetes, such as using kubectl to create resources on a Kubernetes cluster. -
The requirements for the hands-on labs are as follows:- Requirements for all hands-on labs
- Operator-sdk v1.5.0+ installed
- Kubectl v1.17.0+ installed
- Admin access to a Kubernetes cluster. The next section covers how to provision a small cluster for free on IBM Cloud if you do not have a one already.
- Docker v3.2.2+ installed
- Access to a Docker image repository such as Docker Hub or quay.io
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