
DevOps is a collaborative approach that combines development and operations teams, focusing on automation and continuous processes to deliver software faster and more reliably.
Azure DevOps is a Microsoft platform offering tools for planning, developing, testing, delivering, and monitoring applications with integrated version control, build automation, and release management capabilities.
Azure allows users to create and manage cloud resources within an organization, enabling the creation and deletion of services and infrastructure as needed.
Creating a project involves setting up a structured workspace or environment to manage and collaborate on specific tasks, goals, or initiatives efficiently.
Documentation link:
https://docs.microsoft.com/en-us/azure/devops/boards/work-items/guidance/choose-process?view=azure-devops&tabs=basic-process
Documentation link:
https://docs.microsoft.com/en-us/azure/devops/boards/backlogs/define-features-epics?view=azure-devops&tabs=agile-process
In this video, you will learn how to integrate the Github account with Azure DevOps. You will learn to create a task in boards and then move it to "Do" --> "Doing" --> "Done" column as we progress to integrate the Github account to Azure DevOps
Azure Boards in Azure DevOps provides a comprehensive work tracking system, aiding teams in planning, tracking, and managing projects through customizable queries and visualizations.
Azure Repos Git is a version control system within Azure DevOps that enables teams to collaboratively manage and track code changes while facilitating seamless code integration and collaboration
Setting up a development environment involves configuring software, tools, and resources on a computer or server to enable effective coding, testing, and application building for software development projects
Creating a repository involves establishing a storage space for code within a version control system. Committing code captures changes, while raising a pull request initiates a review process for proposed code changes before merging into the main codebase
In VS Code, create branches to isolate code changes. Commit changes locally, raise pull requests to propose changes, and after review, merge branches for collaborative development.
Pipelines automate the building, testing, and deployment of software, ensuring efficient and consistent delivery of applications from development to production stages.
Purchasing a subscription for parallel jobs allows concurrent execution of tasks in pipelines, optimizing resource utilization and accelerating software development processes in Azure DevOps
Creating pipelines involves defining automated workflows that specify how software is built, tested, and deployed, streamlining the development and delivery process
Creating a GitHub pipeline involves configuring a workflow file within a repository, automating build, test, and deployment processes to streamline development and collaboration using GitHub Actions.
Creating static web app resources involves provisioning serverless web hosting and content delivery services, allowing seamless deployment and distribution of static websites or applications
Deploying an Azure Repo project using pipelines involves setting up automated workflows to build, test, and deploy code changes from the repository to Azure services, ensuring efficient and reliable application deployment.
Creating web app resources on Azure involves provisioning scalable and managed environments for hosting web applications, enabling deployment and accessibility through the cloud platform.
Creating a build and release pipeline involves configuring automated workflows to build and deploy a website, streamlining the process from source code to live deployment using Azure DevOps
Creating and deploying a website from the VS Code IDE involves designing and coding the site locally, then utilizing extensions or Azure services to deploy it to the web, all within the integrated development environment
Using the "DevOps Starter" template on Azure, you can create and deploy a Python Flask app by automating the setup of code, pipelines, and resources, facilitating quick and streamlined development and deployment of your application
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