Azure Devops CI/CD Pipelines with YAML | Practical Demos

Create CI/CD pipelines for Azure DevOps using YAML. Automation examples/demos from real world scenarios.

What you'll learn
Create Build and release pipelines on Azure Devops
Use YAML and create pipelines for everyday requirements
Understand how Azure Devops agents work
Understand Azure DevOps pipelines architecture
How to build Azure DevOps pipelines using best practices
Requirements
Basic knowledge of YAML structure is required. Everything else is covered with read world scenarios
Description
In this course you will learn how to master Azure YAML pipelines by building real world scenarios from production setups. The main goal of this course is to familiarise yourself with the available commands that Microsoft provides on the pipelines in order to build complex automation projects.
Course is focused on practical examples of pipeline use cases
that you can build and exercise on Azure DevOps platform. Those
examples
vary and depend on various services either azure internal or external that you can use plug n play in order to build, deploy and secure your infrastructure and deployments. Through the curriculum you can learn all the components required in order to create automation cases and understand how the tooling works in depth.
Course is mainly focused on practical demos and examples that you can use plug-n-play in your everyday work as a DevOps engineer.
Some of the objectives that you will learn are:
cron schedules
build pipelines
release pipelines
repositories
devops tools
environments
approvals
variables and parameters
devops agents
DevOps tools that are covered through this course:
Python
Terraform
Ansible
.NET
NodeJS
Azure Web apps
azure cli
Kubernetes
Docker
DevSecOps
DevSecOps tools that are covered through this course:
Sonarqube
Trivy
Gitleaks
Snyk
Examples pipelines that are included:
hello-world-pipeline
Create a hello world YAML pipeline
share-variables
Share local variables between jobs and tasks
predefined-variables
Use predefined variables for Working Directories, Git Repositories and Artifacts
build-strategy
Build pipelines continuous integration strategy
terraform-az-lin-win
Terraform pipeline to provision resources on Azure
rest-api-object
Pipeline which triggers a pipeline using Azure devops REST Api
called-from-rest-api
Pipeline with a parameter object as input which should be called from a REST API
unit-tests-azuredevops
Build unit tests and publish on Azure devops
conditions
Conditionally run tasks inside pipelines
build-dotnet
Build a .NET application
deploy-appservice
Build and deploy appservice on Azure
pipeline-templates
Using a template structure for devops pipelines
start-vm-loop
Start VMs on Azure using loops
cron-schedule
Run a pipeline based on a cron schedule
environmet-approval
Create build and release pipelines approvals using environments
multi-repo-checkout
Checkout multiple git repositories on azure devops pipelines
variables-parameters
Using variables and parameters on YAML pipelines
stages-jobs-tasks
Stages, jobs and tasks inside a YAML pipeline
execute-ansible
Execute ansible playbooks through azure devops
python-execution
Execute python scripts
build-nodejs
Build node JS applications using npm tool
update-build-number
Update pipeline name by changing build number
install-win-software
Install software (exe, msi) on windows machines
execute-command
Execute command on a virtual server without username and password
starting-template
Starting template with stage, job, tasks
push-package-feed
Push a package to Artifact feeds
kubernetes-deployment
Deploy nginx on kubernetes cluster
manual-validation
Execute tasks based on manual validation
jmeter-loadtest
Use Jmeter for performance testing
stage-dependencies
Create deployment workflows with stage dependencies
jobs-dependencies
Create execution workflows with job dependencies
dependson-variable
Dynamic dependencies with variables and parameters
acr-build-push
Build dotnet microservice and push on container registry
code-scan-trivy
Scan code projects with trivy
snyk-scan-container
Scan container images with snyk
gitleaks-scan
Scan for passwords and secrets with gitleaks
azure-load-testing
Load test websites with Azure Load testing
sonarqube-scan
Use Quality Gates and scan source code with sonarqube
run-pipeline-after-another
Run pipeline after another finishes execution
combined-template
Templates for jobs, tasks and stages(nested templates)
Who this course is for:
Devops Engineers
IT Engineers
Systems Administrators
Automation Engineers
Developers

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