Hands-On With Kubernetes: 2-In-1

Deploy, manage and monitor applications on Kubernetes

What you'll learn

Manage a local Kubernetes deployment using MiniKube

Learn about logging and metrics aggregation in Kubernetes

Manage secrets and configuration for applications deployed to Kubernetes

Master development best practices

Deliver continuously improved software by showcasing the most advanced tools and techniques

Create cost-effective work units with DevOps

Requirements

Good knowledge of Linux and system administration

Basic understanding of Docker and containers

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.This comprehensive 2-in-1 training course provides in-depth learning of core components and concepts, followed by hands-on experience installing and managing Kubernetes.Furthermore, the course will intrigue you with deploying an app to a local Kubernetes installation, as well as an overview of best practices for deploying app models to Kubernetes.
Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Learning Kubernetes, gives you a hands-on experience in installing Kubernetes on your personal computers. See 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.The second course, Deploying Software to Kubernetes, starts by explaining the organizational alignment that has to happen in every company that wants to implement DevOps in order to be effective. We delve into deploying and managing applications on Kubernetes, but we also take a look at how Docker Swarm works. We also explore how to create a continuous delivery pipeline and deploy a microservice-based system to update it, keeping all the lights on. We will review some tools for monitoring software, but our focus will be on Stackdriver, as this monitoring solution from Google Cloud Platform provides us (out of the box) with a fairly comprehensive set of tools to deal with the flaws in our systems.By the end of this Learning Path, you’ll have acquired all the skills and a deeper insight into deploying software on Kubernetes and deliver results from day 1.
About the AuthorBraithe E.S. Warnock is currently a managing cloud architect for the financial services division of Ernst & Young. He has 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, Braithe enjoys helping people understand the rapidly-evolving world of cloud and application architecture. Braithe has more than six years' 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. He also has experience in developing machine learning models using AWS, Spark, and MLlib to support product recommendations and enhance customer data.David Gonzalez is an enthusiastic engineer and author of a book called Developing Microservices with Node.js; as microservices don't work without platform automation, he wrote this book to deliver the best possible deal to the readers of both books. He is a Google Developer Expert (a nomination from Google to certain experts in several areas) in Kubernetes (GKE), who enjoys being pushed out of his comfort zone in order to sharpen his skills. Java, Node.js, Python, and DevOps–as well as a holistic approach to security–are part of the skill set that has helped him deliver value across different start-ups and corporations. Nowadays, he is a consultant at nearForm, enabling companies to deliver the best possible solution to their IT problems or proposals, as well as an avid speaker at conferences, such asRebelCon, and Google I/O Extended, among others.

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: Deploying Software to Kubernetes

Lecture 17 The Course Overview

Lecture 18 What Is DevOps?

Lecture 19 Traditional and Modern Release Management

Lecture 20 DevOps and Microservices

Lecture 21 Docker Swarm

Lecture 22 Kubernetes Logical Architecture

Lecture 23 Setting Up a Cluster in GCP

Lecture 24 Kubernetes Building Blocks

Lecture 25 Secrets and Configuration Management

Lecture 26 Test System

Lecture 27 Setting Up a Continuous Delivery Pipeline for Images

Lecture 28 Setting Up Jenkins

Lecture 29 Continuous Delivery for Your Application

Lecture 30 Types of Monitoring

Lecture 31 Monitoring Third-Party Tools

Lecture 32 Monitoring Applications

Lecture 33 Monitoring Kubernetes Clusters

Developers, architects, and other technologists who want to learn about and gain hands-on experience with, deploying and managing a market leading cloud platform