Microsoft Azure DevOps :Automate App Deployment From Scratch

Best Course at this Price - Master Microsoft Azure DevOps From Scratch - Automate App Lifecycle

Now included with course - CI/CD with Gtihub Actions & AWS CodePipeline

Bonus - Free CKA (Certified Kubernetes Administrator) Lab hands-on questions with solutions.

As a part of this course, I am glad to publish CKA questions with solutions for free.

Create, manage & deploy an application just form the VS code (IDE) with fully automated CI/CD using Azure DevOPs

This course is for anyone willing to learn about DevOps and Azure DevOps. DevOps is a culture to facilitate the software development lifecycle whereas Azure DevOps is a SaaS based product from Microsoft to facilitate the same.

Using Microsoft Azure DevOps, the lifecycle of product can be made very easy without much prior knowledge of specific tools like kubernetes, docker, servers etc. A developer can begin to learn Azure DevOps and get his application up and running in couple of hours.

This course is from scratch, anyone having basic programming experience can start learning it and deploy their web application using Azure DevOps with just few clicks just from the IDE like VS code. You will learn end to end creation and deployment of application.

Following are things one can learn by this course:

• What is DevOps

• What is Microsoft Azure DevOps

• Create Azure DevOps organization and project

• Learn & create work-items in boards using basic work flow

• Learn about Queries

• Learn about Azure repository

• Integrate Github repository in Azure repository

• Learn about Pipelines & Releases

• Create Azure resources like web app and deploy the application using Pipelines

• Manage codebase using commit, merge, pull-request, branches etc.

• Create a Python-Flask project using DevOps-Starter Resource

• Code & deploy application from IDE (VS code) with few clicks in fully automated CI/CD

• Learn about Test Plans

CKA - Certified Kubernetes Administrator Hands-on Lab With Solution

• Question 1 - Create a new pod called web-pod with image busybox Allow the pod to be able to set system_time​. The container should sleep for 3200 seconds​

• Question 2 - Create a new deployment called myproject, with image nginx:1.16 and ​1 replica. Next upgrade the deployment to version 1.17 using rolling​ update​. Make sure that the version upgrade is recorded in the resource annotation.​

• Question 3 - Create a new deployment called my-deployment. Scale the deployment to 3 replicas. ​ Make sure desired number of pod always running.

• Question 4 - Deploy a web-nginx pod using the nginx:1.17 image with the labels set to tier=web-app.​

• Question 5 - Create a static pod on node01 called static-pod with image nginx and you have to make sure that it is recreated/restarted automatically in case ​of any failure happens

• Question 6 - Create a pod called pod-multi with two containers, as given below:​ Container 1 - name: container1, image: nginx​ Container2 - name: container2, image: busybox, command: sleep 4800​

• Question 7 - Create a pod called test-pod in "custom" namespace belonging to the test environment (env=test) and backend tier (tier=backend).​ image: nginx:1.17​

• Question 8 - Get the node node01 in JSON format and store it in a file at ​ ./node-info.json​

• Question 9 - Use JSON PATH query to retrieve the oslmages of all the nodes and store it in a file “all-nodes-os-info.txt” at root location.​ Note: The osImage are under the nodeInfo section under status of each node.​

• Question 10 - Create a Persistent Volume with the given specification.​ Volume Name: pv-demo​ Storage:100Mi​ Access modes: ReadWriteMany​ Host Path: /pv/host-data​

• Question 11 - Worker Node “node01” not responding, Debug the issue and fix it.​

• Question 12 - Upgrade the Cluster (Master and worker Node) from 1.18.0 to 1.19.0. Make sure to first drain both Node and make it available after upgrade.​

• CKA Exam Tips & Tricks