Kubernetes On Aws Step-By-Step Tutorial For Deployment

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
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.
Overview
Section 1: Learning Kubernetes
Lecture 1 The Course Overview
Lecture 2 Overview: Installing Kubernetes
Lecture 3 Installing Dependencies
Lecture 4 Installing the Latest Kubernetes
Lecture 5 Exploring Your Kubernetes Installation
Lecture 6 Kubernetes Architecture and Design
Lecture 7 Achieving High-Availability
Lecture 8 Scaling Kubernetes
Lecture 9 Federation
Lecture 10 Configuration Best Practices
Lecture 11 Creating and Decoding Secrets
Lecture 12 Using Secrets in Applications
Lecture 13 Overview: Docker Containerization
Lecture 14 Installing Docker and Building the Image
Lecture 15 Deploying Your Docker Container
Lecture 16 Interacting With Your Container
Section 2: Hands-on Kubernetes on AWS
Lecture 17 Course Overview
Lecture 18 What Is Docker?
Lecture 19 Working with Images and Containers
Lecture 20 Creating the Web Container
Lecture 21 Creating a Database Container and Getting the Networking Right
Lecture 22 Working with Volumes, Images, and the Container Registry
Lecture 23 Overview Of Kubernetes and Different Deployment Options in Kubernetes
Lecture 24 Building a Kubernetes Cluster
Lecture 25 Deploying Your Application
Lecture 26 Working with Services
Lecture 27 Building a Kubernetes Cluster on EC2 Using Kops
Lecture 28 Deploying Your Application
Lecture 29 Load Balancing in the Cluster
Lecture 30 AutoScaling the Cluster
Lecture 31 Monitoring Your Infrastructure
Lecture 32 Logging Your Infrastructure
Lecture 33 The Architecture of the Elastic Container Service
Lecture 34 Creating ECS Clusters
Lecture 35 Managing Container Instances
Lecture 36 Working with Tasks
Lecture 37 Working with Services
Lecture 38 Load Balancing the EC2 Cluster
Lecture 39 AutoScaling the EC2 Cluster
Lecture 40 Monitoring Your EC2 Infrastructure
Lecture 41 Continuous Integration with Kubernetes
Lecture 42 High Availability for Kubernetes Clusters
Lecture 43 Disaster Recovery For Kubernetes Clusters
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.


Homepage

https://www.udemy.com/course/kubernetes-on-aws-step-by-step-tutorial-for-deployment/