Course code: LFD259
Kubernetes is a high-velocity open source orchestration tool to deploy, scale, and update containerized applications. This course will teach you how to containerize, host, deploy, and configure an application in a multi-node cluster.
This course will teach you how to containerize, host, deploy, and configure an application in a multi-node cluster. Starting with a simple Python script, you will define application resources and use core primitives to build, monitor and troubleshoot scalable applications in Kubernetes. Working with network plugins, security and cloud storage, you will be exposed to many of the features needed to deploy an application in a production environment.
The topics covered are directly aligned with the knowledge domains tested by the Cloud Native Computing Foundation (CNCF) Certified Kubernetes Application Developer (CKAD) Program, and will substantially increase students’ ability to become certified.
Professional
and certified lecturers
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Starting date: Upon request
Type: Self-paced
Course duration: 365 days
Language: en
Price without VAT: 285 EUR
Starting date: Upon request
Type: Self-paced + Exam
Course duration: 365 days
Language: en
Price without VAT: 565 EUR
| Starting date |
Place |
Type | Course duration |
Language | Price without VAT | ||
|---|---|---|---|---|---|---|---|
| Upon request | Self-paced | 365 days | en | 285 EUR | Register | ||
| Upon request | Self-paced + Exam | 365 days | en | 565 EUR | Register | ||
| G | Guaranteed course | ||||||
This course is ideal for developers who are looking to gain skills in Kubernetes application development. Students should be familiar with the Linux command line, programming languages like Python, Node.js or Go, and have a basic understanding of cloud native application concepts and architectures.
To successfully complete the lab exercises in this course, access to a Linux server or Linux desktop/laptop is required. Access to a public cloud provider, or VirtualBox on your machine is also needed. Detailed instructions to set up your lab environment are provided in the course.
If using a cloud provider like GCP or AWS, you should be able to complete the lab exercises using the free tier or credits provided to you. However, you may incur charges if you exceed the credits initially allocated by the cloud provider, or if the cloud provider’s terms and conditions change.
Before starting this course, you should be familiar with:
