Production-Ready Software With Kubernetes: 4-In-1

Enhance the operability of your modern software to deploy, scale & maintain your distributed application with Kubernetes

What you'll learn

Learn deployment patterns and concepts for making Kubernetes highly-available.

Create cost-effective work units with DevOps.

Learn to deploy and manage the application on Kubernetes.

Explore Kubernetes platforms such as pods, deployments, replica sets and secrets.

Build a Kubernetes cluster using EC2 Instances for your own self-managed infrastructure.

Architect your cluster for High Availability, Continuous Integration, and Disaster Recovery.

Build and efficiently manage Docker containers.

Deploy your own applications to Kubernetes.

Learn about logging and metrics aggregation in Kubernetes.

Manage secrets and configuration for applications deployed to Kubernetes.

Requirements

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

Description

Kubernetes is a market-leading cloud platform technology and is the best solution over other cloud platforms. Further, almost all the major cloud infrastructure providers, such as AWS, Azure, and Google, offer hosted versions of Kubernetes.Moving to microservices is not an easy transition for developers who have been building applications using more traditional methods. There are a ton of new concepts and details developers need to become familiar with when they design a distributed application. Throw Docker and Kubernetes into the mix and it becomes clear why many developers struggle to adapt to this new world.Kubernetes is the new infrastructure. If you understand how to use it, it unlocks the benefits of standard continuous delivery in your apps. We are going to set up a Kubernetes cluster in Google Cloud Platform and deploy software in a CI/CD manner so that we speed up the release cycle in a way that has no one seen before. This comprehensive 4-in-1 course is a step-by-step tutorial which 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. Build modern, cloud-native services and applications using the best of Cloud Native Computing Foundation technologies. Manage and orchestrate Kubernetes cluster on the Amazon EC2 environment.Contents and OverviewThis training program includes 4 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Learning Kubernetes, covers enhancing the operability of your modern software systems with Kubernetes. Extend the opportunities that containerization innovations have brought about in a new and even more effective way. 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, covers deploying, managing and monitoring applications on Kubernetes. This video course starts by explaining the organizational alignment that has to happen in every company that wants to implement DevOps in order to be effective. Delve into deploying and managing applications on Kubernetes, but we also take a look at how Docker Swarm works. Explore how to create a continuous delivery pipeline and deploy a microservice-based system to update it, keeping all the lights on. The third course, Develop and Operate Microservices on Kubernetes, covers deploying, scaling, and maintaining your distributed applications with Kubernetes. The goal of this course is to walk you through the process of getting familiar with Kubernetes and its way of doing things. By the end of the course, you will have mastered best practices and leveraged some of the latest DevOps technologies to increase agility and decrease time-to-market for the services you have built.The fourth course, Hands-on Kubernetes on AWS, covers running, deploying, and managing a Kubernetes cluster on AWS. In this course, you'll 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. Learn how to install and deploy Kubernetes on several cloud platforms. Explore more advanced topics on Kubernetes, including Continuous Integration, High Availability, and Disaster recovery using Kubernetes. By the end of the course, 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.By the end of the course, you’ll enhance the operability of your modern software systems to deploy, scale, and maintain your distributed applications with Kubernetes. About the AuthorsBraithe 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 (microservices don't work without platform automation).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 startups 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 as Rebel Con and Google I/O Extended, among others.Martin Helmich studied computer science at the University of Applied Sciences in Osnabrück and lives in Rahden, Germany. He works as a software architect, specializing in building distributed applications using web technologies and Microservice Architectures. Besides programming in Go, PHP, Python, and Node.js, he also builds infrastructures using configuration management tools such as SaltStack and container technologies such as Docker and Kubernetes. He is an Open Source enthusiast and likes to make fun of people who are not using Linux. In his free time, you'll probably find him coding on one of his open source pet projects, listening to music, or reading science-fiction literature.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 that organizations are 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 on the market.

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: Develop and Operate Microservices on Kubernetes

Lecture 17 The Course Overview

Lecture 18 Setting Up Minikube

Lecture 19 Deploying a Microservice

Lecture 20 Service Resiliency and Scalability

Lecture 21 Using ReplicaSets

Lecture 22 Connecting Services

Lecture 23 HTTP Connectivity with Ingress

Lecture 24 Managing the Application Lifecycle with Deployments

Lecture 25 Stateful Services and Storage Drivers

Lecture 26 Working with Persistent Volumes

Lecture 27 Automatic Volume Provisioning

Lecture 28 Using StatefulSets

Lecture 29 Using ConfigMaps

Lecture 30 Inject Configuration Files into Pods

Lecture 31 Keeping Secrets

Lecture 32 Characteristics of a CI/CD Pipeline

Lecture 33 Configuring CD with GitLab

Lecture 34 Setting Up Helm

Lecture 35 Using Helm in CI

Section 3: Deploying Software to Kubernetes

Lecture 36 The Course Overview

Lecture 37 What Is DevOps?

Lecture 38 Traditional and Modern Release Management

Lecture 39 DevOps and Microservices

Lecture 40 Docker Swarm

Lecture 41 Kubernetes Logical Architecture

Lecture 42 Setting Up a Cluster in GCP

Lecture 43 Kubernetes Building Blocks

Lecture 44 Secrets and Configuration Management

Lecture 45 Test System

Lecture 46 Setting Up a Continuous Delivery Pipeline for Images

Lecture 47 Setting Up Jenkins

Lecture 48 Continuous Delivery for Your Application

Lecture 49 Types of Monitoring

Lecture 50 Monitoring Third-Party Tools

Lecture 51 Monitoring Applications

Lecture 52 Monitoring Kubernetes Clusters

Section 4: Hands-on Kubernetes on AWS

Lecture 53 Course Overview

Lecture 54 What Is Docker?

Lecture 55 Working with Images and Containers

Lecture 56 Creating the Web Container

Lecture 57 Creating a Database Container and Getting the Networking Right

Lecture 58 Working with Volumes, Images, and the Container Registry

Lecture 59 Overview Of Kubernetes and Different Deployment Options in Kubernetes

Lecture 60 Building a Kubernetes Cluster

Lecture 61 Deploying Your Application

Lecture 62 Working with Services

Lecture 63 Building a Kubernetes Cluster on EC2 Using Kops

Lecture 64 Deploying Your Application

Lecture 65 Load Balancing in the Cluster

Lecture 66 AutoScaling the Cluster

Lecture 67 Monitoring Your Infrastructure

Lecture 68 Logging Your Infrastructure

Lecture 69 The Architecture of the Elastic Container Service

Lecture 70 Creating ECS Clusters

Lecture 71 Managing Container Instances

Lecture 72 Working with Tasks

Lecture 73 Working with Services

Lecture 74 Load Balancing the EC2 Cluster

Lecture 75 AutoScaling the EC2 Cluster

Lecture 76 Monitoring Your EC2 Infrastructure

Lecture 77 Continuous Integration with Kubernetes

Lecture 78 High Availability for Kubernetes Clusters

Lecture 79 Disaster Recovery For 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.,Intermediate DevOps engineers who want to learn about Kubernetes and best practices to manage IT infrastructures or would like to acquire the skills needed to work in DevOps teams.,Architects, designers and evangelists who want to understand how Kubernetes works and improve their testing and deployment skills.,Software Architects and Software Engineers who want to build and manage container-based applications on AWS with the powerful orchestration tool Kubernetes.