DevOps Mastery with Docker Kubernetes & Azure Kubernetes

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DevOps Mastery with Docker Kubernetes & Azure Kubernetes provided by Udemy is a comprehensive online course, which lasts for 3-4 hours worth of material. DevOps Mastery with Docker Kubernetes & Azure Kubernetes is taught by Ranjan Pandey. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Overview
  • DevOps Mastery with Docker, Kubernetes and Azure Kubernetes by deploying Spring Boot application with Database on AKS

    What you'll learn:

    • You will learn about Docker, its uses and benefits
    • You will learn everything about cloud basics with Microsoft Azure Cloud and its services.
    • You will learn about Kubernetes, Its Architecture and Components
    • You will learn about Azure cloud resources Database, Kubernetes cluster, Container registry
    • You will learn to Dockerize Spring Boot application and Connect to database
    • You will learn to perform deployments to Azure Kubernetes cluster with Yaml files
    • You will learn to perform deployments to Azure Kubernetes cluster with Kubectl Command Line
    • You will learn the debugging and troubleshooting techniques and commands for Kubernetes cluster

    In this course you will learn everything about Docker, Kubernetes and Azure Kubernetes by deploying SpringBoot application with Database on AKS.

    You will start by learning the basics of Docker, why we need docker, and the benefits of using docker.

    You will learn everything about cloud and Azure Cloud and its services.

    You will then learn about the need for Kubernetes, the Architecture of Kubernetes, different components of Kubernetes.

    We will convert a springboot application into a docker container.

    We will create Azure cloud account and then we will create database on Azure cloud then we will create docker container repository on Azure cloud after that we will create Kubernetes cluster on Azure cloud.

    Once we have created all the Azure resources then we will move our dockerized springboot application with its database connection on Azure Kubernetes.

    We will apply two approaches for deploying application on Azure Kubernetes cluster using deployment and service object directly with kubectl commandline and also with the yaml file for deployment and service.


    We will follow below steps:

    2-Create new Azure Resource Group

    3-Create Azure CosmosDB

    4-Getting the Cosmos DB Connection string

    5-Walk through of Springbbot MongoDB Application

    6-Connecting Local Springboot with Azure CosmosDB

    7-Write Docker file for the Springboot Application

    8-Docker build in local

    9-Creating Azure Container Registry

    10-Login to Azure and Azure Container Registry with Azure CLI tool

    11-Tagging local docker image to Azure ACR repository version

    12-Pushing the local docker image to Azure ACR

    13-Create Azure Kubernetes Cluster

    14-Installing Kubectl CLI tool

    15-Establish connection from Local to Azure AKS Cluster

    16-Create Deployment Object and Access the details of the deployment

    17-Expose Service on the Deployment

    18-Final Testing and Checking Logs of the Pod

    20-Execute the deployment and service YAML with Kubectl apply on Azure AKS cluster

    21-Deleting old service creating new service and accessing alongside old service

    22-Understanding the power and possibilities of Kubernetes

    23-Run the same deployment and service on AKS, EKS, GKS, On-premise or minikube or even mix and match

    24-Deleting Azure Cloud Resources to avoid extra cost

    25-Source Code