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LFD259 - Kubernetes for Developers

This course will show you how to host, containerize, deploy and design an application in a multi-hub cluster.

Self-Paced

Modality

Course

Learning Style

Intermediate

Difficulty

35 Hours

Duration

Course Info

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This course will show you how to host, containerize, deploy and design an application in a multi-hub cluster.

Course Information

About this course:

This course will show you how to host, containerize, deploy and design an application in a multi-hub cluster. Beginning with a basic Python content, you will characterize application assets and use main natives to make, troubleshoot and monitor adaptable applications in Kubernetes. Working with network modules, security and cloud storage, you will be presented to a considerable lot of the highlights required to deploy an application in a creative domain.

This course is intended to be a distribution and vendor-neutral, so you will have the option to apply these ideas all around.

You will approach the course for an entire year from the date of procurement (or accessibility, for preorders), paying little mind to how rapidly you complete the course. You can anticipate that the course should take 30-35 hours to finish (despite the fact that the course is self-managed, so you can move as fast or as gradually as you like).

The normal pay of a Kubernetes Developer is $143,493 every year.

Course Objective:

In this course you’ll figure out how to:

  • Deploy and Containerize new script of Python
  • Configure the deployment with Secrets, ConfigMaps, and Security Contexts
  • Comprehend multi-compartment unit plan
  • Arrange tests for unit health
  • Update and move back an application
  • Actualize administrations and Network Policies
  • Use PersistentVolumeClaims for state industriousness

And that's only the tip of the iceberg

Audience:

App Developers

Kubernetes Developers

Prerequisite:

To take advantage of this course, you ought to have fundamental Linux file editing and command-line abilities and be comfortable with utilizing a programming language, (for example, Node.js, Python, Go). Information on Cloud Native application ideas and structures, (for example, is educated in our free Introduction to Kubernetes edX MOOC) is useful for this course.

Outline

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More Information
Subjects App Development, DevOps, IT Ops & Management
Lab Access No
Technology Linux
Modality Self-Paced Learning
Learning Type Course
Difficulty Intermediate
Duration 35 Hours
Language English

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Course Expert:

Collin Meadows

Collin Meadows is someone who will always advocate, the importance of embracing a data-led approach. He has spent most of his career building software and tools and refining and automating processes. He has been involved in building products and defining their strategy

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