Last updated 2/2019MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.44 GB | Duration: 4h 36m

Manage applications in a productionized Kubernetes to orchestrate and automate deployment with Kubernetes services

What you'll learn

Monitor Kubernetes clusters and run a highly available Kubernetes.

Manage your applications with large-scale container orchestration.

Secure Kubernetes using an access and identity management server.

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

Deploy and manage highly scalable, containerized applications with Kubernetes.

Adopt secure and high-performance best practices with Kubernetes.

Track metrics and logs for every container running in your cluster.

Streamline the way you deploy and manage your applications with large-scale container orchestration.

Monitor and troubleshoot Kubernetes clusters and run highly available Kubernetes.

Requirements

A Basic Knowledge of Linux and Docker will be beneficial but not mandatory.

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 use Kubernetes in production and have a better understanding of how to manage your containers using Kubernetes. then this Course is perfect for you!This comprehensive 2-in-1 course is a fast-paced guide offering hands-on and practical guidance with step-by-step instructions to design, implement and deploy Kubernetes Cluster for production grid environment. 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 streamline the way you deploy and manage your applications with large-scale container orchestration. Also, monitor and troubleshoot Kubernetes clusters and run highly available Kubernetes. Finally, you’ll be able to use Kubernetes in production and will have a better understanding of how to manage your containers 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 2 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 . You will b 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 D pipeline to build and deploy your applications.The second course, Kubernetes Recipes, covers how to orchestrate and automate deployment with Kubernetes services. You will first learn how Kubernetes works with containers and will work through an overview of the main Kubernetes features such as pods, replication controllers, and more. Next, you will learn how to create Kubernetes clusters and how to run programs on Kubernetes. Then you will be introduced to features such as high availability, setting up Kubernetes masters, using Kubernetes with Docker, and orchestration with Kubernetes using AWS. Later, you will explore how to use Kubernetes-UI and how to set up and manage Kubernetes clusters on the cloud and bare-metal. You will also work through recipes on microservice management with Kubernetes. Upon completion of this course, you will be able to use Kubernetes in production and will have a better understanding of how to manage your containers using Kubernetes.By the end of this course, you'll containerize your applications to build a production-class container infrastructure in the ‘Kubernetes way’.About the Authors● Des 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 Datacentre, 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 processesHe has also built numerous tools that have been adopted as enterprise solutions and has received a number of awards.● Subhankar Sengupta has vast experience in DevOps, Kubernetes and Microservices domains. He is a senior architect, working for Red Hat, Emeg Technologies and is responsible for architecting containerization strategy via enterprise Kubernetes adoption for large BFSI and Government sectors. He has the practitioner's view of the day-to-day challenges and could talk from an insider's perspective. The target audience will be able to leverage his experience and could learn complex topics with relative ease.

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 D

Lecture 35 Jenkins

Lecture 36 Pipeline as Code

Lecture 37 Create a Pipeline

Lecture 38 Homework

Section 2: Kubernetes Recipes

Lecture 39 The Course Overview

Lecture 40 Introduction to Containers

Lecture 41 Kubernetes Cluster Architecture Overview

Lecture 42 Single-Node Kubernetes Deployment (Minikube)

Lecture 43 Understanding YAML File

Lecture 44 Building our First Pod

Lecture 45 Planning a Kubernetes Cluster

Lecture 46 Overview of the Environment Setup

Lecture 47 Installation of Kubernetes Cluster

Lecture 48 Verification of Kubernetes Services

Lecture 49 Cluster Communication Details

Lecture 50 Deployments, Rolling Updates and Rollbacks

Lecture 51 Service Networking

Lecture 52 Ingress

Lecture 53 Deploying a Load Balancer

Lecture 54 Configure and Use Cluster DNS

Lecture 55 Persistent Storage

Lecture 56 Kubernetes Self-Healing

Lecture 57 Liveness Probes in Kubernetes

Lecture 58 Auto-Scaling

Lecture 59 Horizontal Pod Auto-Scaling

Lecture 60 Monitoring

Lecture 61 Configuring Prometheus and Grafana

Lecture 62 Cluster Monitoring

Lecture 63 Application Monitoring

Lecture 64 Alerting

Developers, Architects, System Administrators, DevOps Eeers and other technologists who would like to gain hands-on experience with deploying and managing a market-leading cloud platform.

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