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DevOps Mastery with Docker Kubernetes & Azure Kubernetes

Name: DevOps Mastery with Docker Kubernetes & Azure Kubernetes
Rating: 4.5 (83 reviews)

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

Created byRanjan Pandey

Last updated 6/2023

English

English [Auto],

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

Course content

6 sections • 59 lectures • 3h 54m total length

Course Introduction3:17
About your Instructor0:18
Installing Java Intellij Maven Postman SpringInitializer4:05
Install Java SE Development Kit 8 and Maven, set up IntelliJ Community Edition; generate a Spring project via Spring Initializr with web, data JPA, Lombok, and install Postman for testing.
Installing Docker Desktop2:43

What-Why-Cloud-OnPremise-Infrastructure8:19
Public-Cloud-And-Cloud-Providers13:24
Learn how cloud computing delivers on-demand storage and computing power with pay-as-you-go pricing and distributed data centers. Understand the capex-to-opex shift and major providers like AWS, Azure, and Google Cloud.
Cloud-Models-IaaS-PaaS-SaaS11:55
Explore the three cloud models: infrastructure as a service, platform as a service, and software as a service, and learn how the degree of management shapes deployment and responsibilities.
Azure-Cloud-Services-Overview11:08
Azure-DevOps-Overview3:53
Azure-Free-Account-Registration4:16
Azure-Portal-Walkthrough10:49
Log in to the Azure portal, explore service categories, and organize resources into resource groups for apps, databases, VMs, and storage.
Azure-DevOps-Walkthrough3:13
Explore the Azure DevOps portal to create organizations and projects, manage boards, dashboards, and repositories, and implement pipelines for continuous integration and deployment with test plans and artifacts.

What is Traditional and Virtualized mode of Application Deployment3:40
What is Container, Docker, Container Deployment and Challenges8:47
What is Kubernetes3:28
Kubernetes cluster and concept of Node4:03
Overview of Worker and Master Node and What is Namespaces4:01
Explore Kubernetes architecture by distinguishing master and worker nodes and their core components, including API server and scheduler, and recognize namespaces for isolating resources within a cluster.
Worker Node, Kubelet, POD, Container4:34
Master Node component - API Server2:43
Learn how API server serves as the frontend of the Kubernetes control plane, receiving instructions via UI, APIs, or CLI tools and delivering them to the master and worker nodes.
Master Node component - Controller Manager and its types4:18
Master Node component - Scheduler2:34
Master Node component - etcd key value store2:43
Kubernetes Virtual Internal Network0:53
Deep Dive into POD and Service component6:24
Replica and ReplicaSets1:10
What is Deployment, how deployment works What is, Kubectl, Helm chart3:26
Options available for running Kubernetes cluster - Minikube, AKS, EKS, GKS2:27
Different Types of Service2:19

Git clone of Springboot and MongoDB project1:16
Clone the spring boot and mongodb project from the repository, switch to the correct branch, and import the folder into your IDE to prepare for deployment.
Create new Azure Resource Group1:12
Create Azure CosmosDB2:25
Create an Azure Cosmos DB resource by selecting a subscription, choosing a location, and configuring the API, then access deployment logs and prepare to connect to the Springboard application.
Getting the Cosmos DB Connection string0:59
Navigate to the Cosmos DB page, locate the connection string from the database details, and prepare the information to connect your application to Cosmos DB.
Walk through of Springboot MongoDB Application2:22
Connecting Local Springboot with Azure CosmosDB5:24
Write Docker file for the Springboot Application2:31
Docker build in local1:54

Creating Azure Container Registry1:33
Create an Azure container registry by selecting a resource group, choosing the registry name, configuring public access, and applying the standard pricing plan.
Login to Azure and Azure Container Registry with Azure CLI tool4:32
Tagging local docker image to Azure ACR repository version2:27
Pushing the local docker image to Azure ACR4:20
Tag the local Docker image and push it to Azure container registry in the Asia region, so the Docker image for the Oval Springboard application appears in the repository.
Create Azure Kubernetes Cluster4:46
Installing Kubectl CLI tool2:12
Establish connection from Local to Azure AKS Cluster3:32
Create Deployment Object and Access the details of the deployment3:16
Learn to create a deployment using kubectl, specify the image and repository, and verify deployment status and details, preparing to create a service next.
Expose Service on the Deployment2:56
Final Testing and Checking Logs of the Pod2:11
Understanding Deployment object with Yaml and How to execute it on Kubernetes4:54
-Understanding Service object with Yaml and How to execute it on Kubernetes5:18
Creating Deployment and Service YAML files for SpringBoot App and Commands4:34
Create deployment and service yaml files for a Spring Boot app on any Kubernetes cluster, configuring replicas, pod template, and container ports.
Execute the deployment and service YAML with Kubectl apply on Azure AKS cluster1:50
Deleting old service creating new service and accessing alongside old service6:19
Delete an existing Kubernetes service and create a new one, then expose deployments with a load balancer service, assign public IPs, and run multiple services on distinct ports.
Understanding the power and possibilities of Kubernetes2:11
Run the same deployment and service on AKS, EKS, GKS, On-premise or minikube2:07
Deploy the same applications on AKS, EKS, GKS, on-premise, or a mini cube cluster, using Kubernetes to run Docker containers in pods across clouds and on premise.
Deleting Azure Cloud Resources to avoid extra cost1:53
Source Code0:30
https://github.com/ranjanpandeysbp/springboot-k8s-aks

Requirements

Basics of Java and SpringBoot

Description

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

Who this course is for:

Anyone who wants to become a DevOps engineer by learning and applying the most popular and in demand technologies

DevOps Mastery with Docker Kubernetes & Azure Kubernetes

What you'll learn

Explore related topics

Course content

Introduction & Installation Setup4 lectures • 10min

Everything about Docker4 lectures • 20min

Everything About Azure Cloud8 lectures • 1hr 7min

Everything about Kubernetes16 lectures • 58min

SpringBoot, Database and Docker build8 lectures • 18min

Working with Azure Kubernetes Service19 lectures • 1hr 1min

Requirements

Description

Who this course is for: