Containerize Your Applications In The ‘Kubernetes Way’

Containerize your applications to build a productionized container infrastructure with the power of Kubernetes

What you'll learn

Deploy an automation server and create a Pipeline as Code solution to build and deploy an application.

Create, run and scale your own Kubernetes cluster from scratch.

Explore the other different features like load balancing, DNS and more.

Create a container from your existing source code, and make your application ready to run on any Kubernetes-supported Cloud.

Make your Application safe and secure while running in a Cloud Environment.

Learn how to troubleshoot your application deployment on Kubernetes.

Create a continuous delivery pipeline with the power of Kubernetes.

Deploy and test your applications on on-premise and production GCE environments.

Requirements

A Basic Knowledge of Linux and Docker is assumed.

No prior knowledge of Kubernetes is required.

Description

Kubernetes is a powerful tool developed by Google for managing containerized applications in a clustered environment. Kubernetes helps you automate, deploy, scale, and manage containerized applications. It gives you the freedom to take advantage of on-premise cloud infrastructures. It also helps you write better cloud-native applications. Kubernetes is a core tool in DevOps; it gives you the ability to schedule and manage containers (Docker or otherwise) at scale. If you’re looking to containerize your applications in the ‘Kubernetes Way’ then this Course is perfect for you!This comprehensive 3-in-1 Course is a fast-paced guide offering hands-on and practical guidance with step-by-step instructions and assignments to Containerize Your Applications in the ‘Kubernetes Way’! You’ll initially get up and running with fundamentals of Kubernetes and container orchestration. You'll build your own container cluster and manage it as well as secure the cluster and handle service discovery. Moving further, you'll dive into the Kubernetes architecture, components and services to build a production-class container infrastructure. Finally, you’ll write cloud-native applications, test, monitor and deploy your application on the cloud (GCP) using Kubernetes.By the end of this course, you'll containerize your applications to build a production-class container infrastructure in the ‘Kubernetes way’.Contents and OverviewThis training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Kubernetes in 7 Days, covers managing applications in a productionised Kubernetes. This course will help you to unravel the potential of Kubernetes in the shortest amount of time. You will begin by creating your first Kubernetes cluster using Minikube. Then move on to exploring Kubernetes in some more detail and build a complex cluster. By the 4th Day, you will learn to enhance your cluster with a Grafana based monitoring dashboard in your application. Once you’ve acquired knowledge on dashboards, explore how a Kubernetes cluster provisions storage to its applications and learn how to secure them. Finally, learn to create a CI/CD pipeline to build and deploy your applications.The second course, Containerization the Kubernetes Way, covers developing, running, and deploying your containerized applications using Kubernetes. You'll learn how to deploy Kubernetes on several cloud platforms. Further, you'll learn to package your code to run in Kubernetes. You'll dive into the Kubernetes architecture and components and explore how they come together to build a production-class container infrastructure. Later you will learn to work with pods, deployments, and services. By the end of this course, you’d have gained the required skills to deploy a Kubernetes cluster and a simple application in a development ecosystem.The third course, Kubernetes for Developers, covers writing cloud-native applications that can run anywhere with the power of Kubernetes. This course will give you detailed instructions, real-world examples, and helpful advice. We will begin by learning to set up the development environment on your local machine. Then move on to package your code into Kubernetes, and manage container lifecycles. Once you get a grip on understanding the RBAC Authorization, very easily explore the monitoring techniques with Prometheus and troubleshoot your service account. Finally, you will learn to create a cluster in your Google Cloud Environment and deploy your application in production. By the end of this video, you will develop, run, test, and deploy your application in the cloud, utilizing the power of Kubernetes to its full potential.By the end of this course, you'll containerize your applications to build a production-class container infrastructure in the ‘Kubernetes way’.About the AuthorsDes Drury is a passionate technologist with many years' experience in all aspects of data center infrastructure, automation, programming languages, and developer workflows. He is: - Co-organizer of the Melbourne Kubernetes Meetup - Author of Open Datacenter, a Kubernetes distribution with numerous datacenter workloads; - A Kubernetes evangelist from the early days of its release; - Passionate about helping teams to understand complex technology - Teaches the skills required for team members to solve their own problems - An excellent communicator and enjoys helping people, passing on knowledge, and improving processes He has also built numerous tools that have been adopted as enterprise solutions and has received a number of awards.Braithe 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 architectures. 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.Jan Stomphorst is a senior solution architect with more than 20 years' experience in the automation industry; he creates the best solutions for his customers. He uses advanced technical solutions to help developers create stable continuous pipelines and develop systems for 100% uptime. He is a Docker and Kubernetes expert. He supports several customers with on-premise and in-the-cloud Kubernetes strategies.

Overview

Section 1: Kubernetes in 7 Days

Lecture 1 Course overview

Lecture 2 Installing the Pre-reqs

Lecture 3 Creating a Cluster with Minikube

Lecture 4 Exploring Your Cluster

Lecture 5 Deploying an Application

Lecture 6 Homework

Lecture 7 Kubernetes Architecture

Lecture 8 Kubernetes Manifests

Lecture 9 Kubectl Config

Lecture 10 Helm for Package Management

Lecture 11 Deploying a Complex Application

Lecture 12 Homework

Lecture 13 Install a Multi-Node Cluster

Lecture 14 Explore the Cluster

Lecture 15 Deploy Initial Workloads

Lecture 16 Deploy First-App with Ingress

Lecture 17 Homework

Lecture 18 Probes and Self Healing

Lecture 19 Prometheus

Lecture 20 Grafana

Lecture 21 Grafana Dashboards

Lecture 22 Homework

Lecture 23 PVs and PVCs

Lecture 24 Install Rook

Lecture 25 Explore Rook

Lecture 26 Deploy a HA Database

Lecture 27 Homework

Lecture 28 RBAC

Lecture 29 Keycloak

Lecture 30 Configuring Kubernetes to Use OIDC

Lecture 31 Securing the Kubernetes Dashboard

Lecture 32 Securing Kubectl

Lecture 33 Homework

Lecture 34 Overview of CI/CD

Lecture 35 Jenkins

Lecture 36 Pipeline as Code

Lecture 37 Create a Pipeline

Lecture 38 Homework

Section 2: Containerization the Kubernetes Way

Lecture 39 The Course Overview

Lecture 40 The Kubernetes Container Orchestration System

Lecture 41 Core Concepts of Kubernetes: Objects and Nodes

Lecture 42 Google Kubernetes Engine (GKE)

Lecture 43 Amazon Elastic Container Service for Kubernetes (EKS)

Lecture 44 Azure Kubernetes Service (AKS)

Lecture 45 Prerequisites for Creating a Kubernetes Cluster in EKS

Lecture 46 Creating and Deleting a Kubernetes Cluster in EKS

Lecture 47 Deploying a Scalable, Stateless Application to EKS

Lecture 48 Docker Networking Model

Lecture 49 Kubernetes Networking Model

Lecture 50 Implementation of the Kubernetes Model

Lecture 51 Volumes – The Essential Directory

Lecture 52 Persistent Volumes: Storing Persistent Data

Lecture 53 Storage classes

Lecture 54 Dynamic Volume Provisioning: Creating On-Demand Storage Volumes

Lecture 55 Volume Limits –Limits on Storage

Lecture 56 Using Secrets in Applications

Lecture 57 Kubernetes Service

Lecture 58 Achieving High Availability

Lecture 59 Scaling Kubernetes

Section 3: Kubernetes for Developers

Lecture 60 The Course Overview

Lecture 61 Installation of kubectl, Minikube (Kubernetes), and Docker

Lecture 62 What Is Kubernetes and Why Do We Need It?

Lecture 63 Introduction to Basic Concepts: Nodes, Pods, and Containers

Lecture 64 Introduction to Basic Concepts : Replica Sets, Deployments and Services

Lecture 65 What a Container Image Is, How to Build a Container?

Lecture 66 Example Code in Node.js Compiled into a Container

Lecture 67 Example Code in Golang Compiled into a Container

Lecture 68 Create Your Images for Use Within Kubernetes – Uploading to a Registry

Lecture 69 Run Commands in Your Container, and Get Debugging Logs, Running on Local Docker

Lecture 70 Pod and Deployment Lifecycle, along with Pod Lifecycle Hooks

Lecture 71 How Labels and Annotations Work with the Kubernetes Infrastructure

Lecture 72 Deployments – Creating a Rollout of Your Pod

Lecture 73 Persistent Storage

Lecture 74 Handle Arguments and Configuration Values Like ConfigMap & Environment Variables

Lecture 75 Services – Connecting Your Pod (Deployment) to the Outside World

Lecture 76 Role and ClusterRole and Namespaces

Lecture 77 Creating a Service Account and Binding This into the Deployment (Pod)

Lecture 78 Referring to Resources, Aggregated ClusterRoles

Lecture 79 Creating a User for Kubernetes

Lecture 80 Set Up and Run Prometheus

Lecture 81 Set Up and Run Grafana from Prometheus to Build Custom Dashboards

Lecture 82 Logging off Your Application Using a Sidecar Container

Lecture 83 Troubleshooting the Pod and/or Deployment

Lecture 84 Create a Kubernetes Cluster at GCE

Lecture 85 Deploying Application/Pod in GCE

Lecture 86 Success

System Administrators, Architects, Software Developers and DevOps professionals who would like to use Kubernetes practically for large-scale container application management and looking to develop, run, test, and deploy applications in the cloud with Kubernetes.