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Introduction to Kubernetes

In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

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Course Description

Kubernetes is a solution that orchestrates and maintains containerized applications effectively. Since its introduction in 2014 by Google, this open-source system has developed into the tool of choice for managing all kinds of distributed workloads. It is an essential part of today's DevOps world, helping to develop and deploy scalable applications and workflows of any kind.

In this course, you'll become a Kubernetes champ with hands-on experience using Kubernetes on the command line. You will master kubectl, the Kubernetes command line tool, and use it to interact with real Kubernetes clusters. You will learn the fundamentals of Kubernetes and understand how to deploy and orchestrate containers using Manifests and kubectl instructions.

After an introduction to Kubernetes and its relation to modern software architecture and cloud-nativeness, you will learn your first Kubernetes objects and how to apply them like a pro.

As you progress, you'll learn about more advanced concepts like stateful applications, storage, and networking. To wrap up, you will use these concepts in an exemplary MLOps workflow.

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In the following Tracks

Containerization and Virtualization with Docker and Kubernetes

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Professional Data Engineer in Python

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  1. 1

    Introduction to Kubernetes (K8s)

    Free

    We will explore the role of Kubernetes in modern software design, and learn about its architecture.

    Play Chapter Now
    Modern Software Architecture, Containerization, and Kubernetes
    50 xp
    Using "kubectl"
    100 xp
    Kubernetes version
    50 xp
    Containerized Applications
    50 xp
    Docker and Kubernetes
    50 xp
    Using A First Manifest
    100 xp
    Docker vs Kubernetes
    100 xp
    Kubernetes Architecture
    50 xp
    Kubernetes Infrastructure
    50 xp
    Do You Know Kubernetes Architecture?
    100 xp
  2. 2

    Deploying Software on K8s

    We learn how to deploy software using Kuberentes, and will use "kubectl" extensively.

    Play Chapter Now
    Deploying a First (Stateless) Application
    50 xp
    Stateless Apps on Kubernetes
    100 xp
    A Kubernetes Deployment
    100 xp
    Scaling and Monitoring an Application
    50 xp
    Deploying and Maintaining Software on Kubernetes
    100 xp
    Scaling and Monitoring a Deployment
    100 xp
    Deploying, Scaling, and Monitoring a Stateful Application
    50 xp
    Deploying and Scaling Stateful Apps 1
    100 xp
    Deploying and Scaling Stateful Apps 2
    100 xp
    Stateful Apps on Kubernetes
    100 xp
    Deploying, Scaling and Monitoring Kubernetes Storage
    50 xp
    Do You Know Kubernetes Storage?
    100 xp
    Pods With Attached Storage
    100 xp
    Monitoring Pods and Storage
    100 xp
    StatefulSet With Attached Storage
    100 xp
  3. 3

    Data Engineering and MLOps

    Building upon what we learned in the previous chapters, we will understand how Kubernetes can support data pipelines and MLOps.

    Play Chapter Now
    Networking, Load Balancing, and Security
    50 xp
    Networking, Load balancing, and Ingress on Kubernetes
    100 xp
    Creating a Service
    100 xp
    Deploy a Service
    100 xp
    Data Pipelines on Kubernetes
    50 xp
    ETL and ELT data pipelines
    100 xp
    Deploy an ETL pipeline on Kubernetes
    100 xp
    MLOps on Kubernetes
    50 xp
    MLOps with Kubernetes
    100 xp
    An MLOps Workflow
    100 xp
    Wrap-Up
    50 xp
For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.

In the following Tracks

Containerization and Virtualization with Docker and Kubernetes

Go To Track

Professional Data Engineer in Python

Go To Track

collaborators

Collaborator's avatar
George Boorman
Collaborator's avatar
Arne Warnke
Collaborator's avatar
Katerina Zahradova

prerequisites

Introduction to Docker
Frank Heilmann HeadshotFrank Heilmann

Platform Architect and Freelance Instructor

I am an expert for scale-out technologies, focusing cloud-native and scalability. During my 15+ years in industry I held various positions and roles in R&D, Supply Chain Management, Financial Risk Management and IT. Currently I deliver scalable cloud-first, on-prem and hybrid data platform solutions to various clients, with a strong focus on automation and immutable infrastructure.
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