Design, Implement And Deploy Kubernetes Cluster From Scratch

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 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, 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, Emerging 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 CI/CD
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 Engineers and other technologists who would like to gain hands-on experience with deploying and managing a market-leading cloud platform.


Homepage

https://www.udemy.com/course/design-implement-and-deploy-kubernetes-cluster-from-scratch/