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Kubernetes on AWS: Step-By-Step Tutorial for Deployment
Rating: 3.7 out of 5(48 ratings)
329 students

Kubernetes on AWS: Step-By-Step Tutorial for Deployment

Learn how to deploy, manage, and scale containerized applications using Kubernetes on AWS
Last updated 7/2018
English

What you'll learn

  • Explore the Kubernetes master-slave architecture and core components of Kubernetes
  • Learn deployment patterns and concepts for making Kubernetes highly-available
  • Manage a local Kubernetes deployment using MiniKube
  • Learn about logging and metrics aggregation in Kubernetes
  • Build a Kubernetes cluster using EC2 Instances for your own self-managed infrastructure
  • Build and efficiently manage Docker containers
  • Architect your cluster for high availability, continuous integration, and disaster recovery

Course content

2 sections43 lectures3h 24m total length
  • The Course Overview2:25

    This video provides an overview of the entire course.

  • Overview: Installing Kubernetes7:56

    This video aims to provide a high-level overview of installing a kubernetes.

    • Learn to install Kubernetes
    • Install Kubernetes (Minikube)
    • Explore Kubernetes 
  • Installing Dependencies4:07

    In this video, we will learn to setup our environment before installing Kubernetes.

    • Understand what Kubernetes requires
    • Install dependencies
    • Confirm whether the environment is correct 
  • Installing the Latest Kubernetes3:23

    In this video, we will install a local Kubernetes cluster.

    • Explore the installation process
    • Install Kubernetes
    • Confirm if the cluster is available 
  • Exploring Your Kubernetes Installation3:27

    In this video, we will explore our Kubernetes installation.

    • Learn to interact with Kubernetes
    • Learn some kubectl commands
    • Confirm if kubectl is working 
  • Kubernetes Architecture and Design7:23

    In this video, we will understand Kubernetes core concepts before diving into advanced concepts.

    • Understand how kubernetes works
    • Explore core kubernetes components
    • Learn the kubernetes logical architecture 
  • Achieving High-Availability5:24

    This video aims to explain that we want our cluster to be highly available to reduce downtime and we need a deployment pattern.

    • Learn target state architecture
    • Understand how to achieve service and data redundancy
    • Learn to leverage federation 
  • Scaling Kubernetes8:24

    In this video, we will learn of some upper-limits or size limitations of kubernetes.

    • Explore Kubernetes limitations
    • Learn scaling an app
    • Understand scaling an app across clusters 
  • Federation5:46

    This video aims to explain that we need to manage multiple clusters using federation.

    • Learn to sync resources across a cluster
    • Understand cross cluster discovery
    • Explore high availability 
  • Configuration Best Practices4:02

    In this video, we will understand best practices for configuring Kubernetes.

    • Learn the configuration files
    • Learn about labels
    • Explore leveraging version control 
  • Creating and Decoding Secrets5:19
  • Using Secrets in Applications5:35

    In this video, we will understand how to mount volumes containing secrets to apps.

    • Use secrets in the app
    • Learn to attach secrets to a volume
    • Learn to attach secrets to an app 
  • Overview: Docker Containerization5:06

    This video aims to explain what is a container engine, container build tool, and container registry.

    • Build container image
    • Register container image
    • Run container image 
  • Installing Docker and Building the Image6:13

    In this video, we will learn to install docker, to build and test run our docker image.

    • Install docker
    • Explore docker commands
    • Explore docker config file 
  • Deploying Your Docker Container2:39

    In this video, we will install our container image to kubernetes.

    • Deploy our container to a pod
    • Explore deployment methods
    • Explore deployment commands 
  • Interacting With Your Container5:30

    In this video, we will test whether our application is running successfully in Kubernetes.

    • Monitor our running app
    • View health of the app
    • Learn to send test request to our running app 
  • Test Your Knowledge

Requirements

  • No knowledge of Kubernetes is required, though cloud computing knowledge and basic containerization knowledge is assumed.

Description

Kubernetes is a one of the top cloud platform technology and offers some of the best solution over other cloud platforms. Major cloud infrastructure providers, such as AWS, Azure, and Google, offer hosted versions of Kubernetes. If you're a software architect or a software engineer who wants to build and manage container-based applications on AWS with the powerful orchestration tool Kubernetes, then go for this Learning Path.

This comprehensive 2-in-1 course is a perfect mix of concepts and practice that will help you to build, manage, and deploy container-based applications on AWS using Kubernetes. You will you learn how to use Kubernetes pods, services, replication controllers, and labels to manage your clusters effectively and will get a feel for how to handle networking with Kubernetes. You will also learn how to install and deploy Kubernetes on several cloud platforms.

This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.

The first course, Learning Kubernetes, teaches you how to extend the opportunities that containerization innovations have brought about in a new and even more effective way.  You will then get started with the basics, explore the fundamental elements of Kubernetes, and find out how to install it on your system, before digging a little deeper into Kubernetes core constructs. Finally, you will learn how to use Kubernetes pods, services, replication controllers, and labels to manage your clusters effectively and also get a feel for how to handle networking with Kubernetes.

In the second course, Hands-on Kubernetes on AWS, you will jump into Kubernetes architecture, and grasp what the main components and services are, and how they come together to build a production-class container infrastructure. Next, you will learn how to install and deploy Kubernetes on several cloud platforms. Finally, you will explore more advanced topics on Kubernetes, including continuous integration, high availability, and disaster recovery using Kubernetes.

By the end of this Learning Path, you’ll have gained plenty of hands-on experience with Kubernetes on Amazon Web Services. You’ll also have picked up some tips on deploying and managing applications, keeping your cluster and applications secure, and ensuring that your whole system is reliable and resilient to failure.

Meet Your Expert(s):

We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:

● Braithe E.S. Warnock is currently a managing cloud architect for the financial services division of Ernst & Young. He had the opportunity to work with several of the largest PCF installations on an international scale. He helped build the framework for the adoption of PCF at top companies such as Ford, Comcast, DISH, HSBC, and Charles Schwab. As a vendor-neutral consultant, he enjoys helping people understand the rapidly-evolving world of cloud and application architecture. He has more than six years of experience and specialization in global digital transformations. He has expertise in various cloud and cloud platform technologies (PCF, AWS, Azure, VMware, Netflix OSS, Kubernetes, and OpenShift) and also the Java and Spring Boot frameworks. He has developed over 100 microservices using Spring Boot, Java 7/8, Spring Cloud, and Netflix OSS, spanning half a dozen unique cloud-native microservice architectures.

● Alan Rodrigues has been working on software components such as Docker containers and Kubernetes for the last 2 years. He has extensive experience working on the AWS platform, currently being certified as an AWS Solution Architect Associate, a SysOps Administrator and a Developer Associate. He has seen organizations moving towards using containers as part of their microservices architecture. And there is a strong need to have a container orchestration tool in place. Kubernetes is by far the most popular container orchestration being adopted. He also has experience in developing machine learning models using AWS, Spark, and MLlib to support product recommendations and enhance customer data.

Who this course is for:

  • This learning path is specially designed for developers, software architects, and software engineers who want to build and manage container-based applications on AWS with the powerful orchestration tool Kubernetes.