Azure Bicep & DevOps for Infra as Code: Beginner to Ninja

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David Charles Academy

6:09:02

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1. Introduction and Installation

1. Introduction.mp4

14:27

2. Register a Free Azure Account.mp4

04:14

3. Create a DevOps organization and project.mp4

07:15

4. Install the Azure CLI.mp4

05:51

5. Install BICEP.mp4

01:45

6. Install Git Bash.mp4

04:32

7. Install Visual Studio Code.mp4

02:42

8. Install Visual Studio Code Extensions.mp4

02:54

9. Set Git Bash as Default Terminal.mp4

01:49

2. Git Crash

1. Introduction to Git.mp4

06:24

2. Create a Local Git Repository.mp4

02:42

3. Staging and Commit one File.mp4

06:55

4. Stage and Commit Multiple Files.mp4

06:06

5. Modify, Stage and Commit Files.mp4

02:47

6. Create a new Branch in the local Git Repository.mp4

02:37

7. Modify files and commit changes within the new Branch.mp4

02:50

8. Merge Branches.mp4

04:23

9. Git with Visual Studio Code.mp4

06:24

10. Viewing a State in the Past.mp4

04:28

11. Undoing Changes.mp4

07:45

12. Reset Changes.mp4

05:57

3. Azure DevOps Pipeline Agents

1. Set up Billing and the Microsoft Hosted Runtime Agent.mp4

10:12

2. Install Dot Net SDK and Core Framework.mp4

04:09

3. Install Powershell 7.mp4

02:35

4. Install Visual Studio 2022 Community Edition.mp4

03:14

5. Set up Personal Access Token (PAT).mp4

02:53

6. Download and Configure Agent.mp4

08:34

7. Test the Self Hosted Agent.mp4

02:52

4. Introduction to YAML Pipelines - Create a Resource Group

1. Create a Service Connection.mp4

02:33

2. Clone a Repository.mp4

04:45

3. Create the Project Structure.mp4

03:28

4. Create the Powershell Scripts to Provision a Resource Group.mp4

12:22

5. Add the Stage and Job to the YAML file.mp4

06:28

6. Add a Powershell Tasks to the YAML file.mp4

13:44

7. Validating the Provisioned Resource Group.mp4

04:01

5. Create Project Structure for Log Analytics

1. Project Goal - Log Analytics Project Structure.mp4

03:12

2. Create a Repository for Provisioning Infrastructure.mp4

01:01

3. Clone the Repository and Create a Branch.mp4

01:56

4. Create Project Folders and Structure.mp4

05:41

6. Create the Log Analytics BICEP template and Module

1. Introduction - Log Analytics Module.mp4

06:14

2. The Log Analytics Module Technical Specification.mp4

04:30

3. Add Input Parameters to the Log Analytics Template.mp4

09:08

4. Develop the Log Analytics BICEP module template.mp4

06:21

5. Plan for Developing the Main BICEP file for Log Analytics.mp4

01:37

6. Add Tagging and Resource Naming variables.mp4

04:30

7. Add Parameter Variables for Log Analytics Module.mp4

05:43

8. Invoke the Log Analytics BICEP module Template.mp4

06:11

7. Transpile BICEP to ARM

1. Introduction - Transpile BICEP to ARM.mp4

01:29

2. Technical Plan for Transpiling BICEP to ARM.mp4

03:22

3. Build Script to Transpile BICEP to ARM.mp4

10:40

8. Create YAML Pipeline to Provision Infrastructure

1. Introduction - Create YAML Pipeline to Provision Infrastructure.mp4

01:16

2. Plan to Develop a YAML Pipeline to Provision Infrastructure.mp4

03:34

3. Creating the Variable Group on Azure DevOps.mp4

05:19

4. Develop YAML - Add a Trigger, Parameters and Variables.mp4

05:34

5. Develop YAML - Add the Stage and Job.mp4

09:36

6. Develop YAML - Add Task to Provision Infrastructure.mp4

13:31

7. Run the Pipeline.mp4

07:38

8. Confirm the Deployment.mp4

04:45

9. How to Handle Errors

1. 9.1 Create a Deliberate Error.mp4

02:55

2. Run the Pipeline to expose the Errors.mp4

02:54

3. Fix the Shell Script Error.mp4

01:37

4. Show YAML template Errors.mp4

02:13

10. Create the Data Factory BICEP Module

1. Introduction and Goal.mp4

02:46

2. Unpacking the Data Factory BICEP Module.mp4

02:10

3. Create Files and Directories for the Data Factory Module.mp4

03:45

4. Create the Data Factory Module BICEP Template.mp4

05:44

5. Add the Log Analytics Dependency.mp4

07:48

6. Creating the Main BICEP File for Data Factory.mp4

10:22

11. Modify YAML Pipeline to Provision Data Factory and Log Analytics

1. Introduction and Goal.mp4

01:35

2. Modify YAML pipeline to provision a Data Factory.mp4

08:27

3. Run the Pipeline to Provision Log Analytics and Data Factory.mp4

03:53

4. Confirm on the Azure Portal for provisioned Infrastructure.mp4

03:28

Description

Learn how to professionally write and develop Azure DevOps Infrastructure as Code with BICEP, YAML, Git and PowerShell

What You'll Learn?

An in-depth introduction to Infrastructure as Code with the Azure DevOps platform
A definition of DevOps and how Azure as a SaaS (Software as a Service) platform that facilitates the practice of the DevOps methodology
An Introduction to YAML pipelines on the Azure DevOps platform
An Introduction to BICEP and ARM templates for developing Infrastructure as Code (IaC) on the Azure DevOps Platform
An overview of Industry leading DevOps tools
The creation of a local Git Repository
Learn how to stage and commit single and multiple files
Branching management with Git including Merging
Git with Bash and Visual Studio Code
Learn how to time travel and undo changes
Set up Billing for Microsoft and Self Hosted pipeline agents
Installation and Set Up for a Self Hosted pipeline agents
Setting up of a Personal Access Token
Configuration of a Self-Hosted Agent
How to Create an Azure Service Connection
Cloning an Azure DevOps Repository
Writing PowerShell Script to Provision a Resource Group
How to Add Stages, Jobs and Steps in a YAML pipeline template
Running the YAML pipeline on Azure DevOps
How to develop Azure Variables Group and pass them into YAML templates
How to override BICEP parameters using YAML
Creating Project Structures for a DevOps and BICEP project using Bash and Git
Establish a standard naming convention for resources using BICEP and PowerShell
Development of a BICEP template to provision Log Analytics and Data Factory
How to add Input Parameters to a BICEP template
How to create BICEP Modules for Log Analytics and Data Factory
How to add Tagging Information to BICEP modules
How to structure a naming convention with BICEP
How to use run time and compile time variables and parameters
How to write a PowerShell Script to Transpile BICEP to an ARM template
How to Manage Dependencies between Resources with BICEP
How manage BICEP template errors

Who is this for?

Beginners in the Azure DevOps platform

Data Engineers

DevOps Engineers

Data Architects

More details

Description
The goal of this course is to help students learnÂ how to professionally write and develop Azure DevOps Infrastructure as Code with BICEP, YAML, Git and PowerShell.
Azure DevOps is a leading automation and DevOps platform and the students will be taken through the following;
An in-depth introduction to Infrastructure as Code with the Azure DevOps platform
A definition of DevOps and how Azure as a SaaS (Software as a Service) platform that facilitates the practice of the DevOps methodology
An Introduction to YAML pipelines on the Azure DevOps platform
An Introduction to BICEP and ARM templates for developing Infrastructure as CodeÂ (IaC) on the Azure DevOps Platform
An overview of Industry leading DevOps tools
Git is an industry leading distributed versionÂ control system and is a very critical component of Azure DevOps and therefore students will be taken through a Git Crash Course that covers the following basic aspects;
The creation of a local Git Repository
Learn how to stage and commit single and multiple files
Branching management with Git including Merging
Git with Bash and Visual Studio Code
Learn how to time travel and undo changes
Students may find it necessary to learn about how to set up Azure DevOps Pipeline Agents as a Self-Hosted Azure DevOps agents for running CI / CDÂ pipelines, perhaps the situation could be cost saving at a work environment orÂ a cost effective personal environment, and therefore the students will learn the following;
Set up Billing for Microsoft and Self Hosted pipeline agents
Installation and Set Up for aÂ Self Hosted pipeline agents
Setting up of a Personal Access Token
Configuration of a Self-Hosted Agent
YAML is a leading configuration management technology for developing CI / CD pipelines, perhaps the best way learn how to write YAML pipelines is for the student to be taken through how to provision infrastructure with YAML, Powershell and BICEP. The initial focus will be the provisioning of resource group and there and therefore the students will learn the following;
How to Create an Azure Service Connection
Cloning an Azure DevOps Repository
Writing PowerShell Script to Provision a Resource Group
How to Add Stages, Jobs and Steps in a YAML pipeline template
Running the YAML pipeline on Azure DevOps
How to develop Azure Variables Group and pass them into YAML templates
How to override BICEP parameters using YAML
One aspect of professionalism in coding is how projects are structured for coding efficiencyÂ and ease of management, the other aspect in the naming convention of resources. The course will take through students on the following following.
Creating Project Structures for a DevOps and BICEP project using Bash and Git
Establish a standard naming convention for resources using BICEP and PowerShell
The heart of provisioning and deploying infrastructure in Azure is the adoption of BICEP, and students will learn the following in terms of developing BICEP in a professional manner;
Development of a BICEP template to provision Log Analytics and Data Factory
How to add Input Parameters to a BICEP template
How to create BICEP Modules for Log Analytics and Data Factory
How to add Tagging Information to BICEP modules
How to structure a naming convention with BICEP
How to use run time and compile time variables and parameters
How to write a PowerShell Script to Transpile BICEP to an ARM template
How to Manage Dependencies between Resources with BICEP
How manage BICEP template errors

Who this course is for:
Beginners in the Azure DevOps platform
Data Engineers
DevOps Engineers
Data Architects

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I'm a Data Management professional that is driven by the power and influence of data in our lives. With the power of data, I was able to help companies become more data-driven to gain a competitive edge or meet regulatory requirements.In the last 15 years, I have had the pleasure of designing and implementing data warehousing solutions in Retail, Telco, and Banking industries, and recently in more big data lake specific implementations.I’ve had the pleasure to be lead and also lead teams to implement the above-mentioned strategies and in my spare time, I teach programming online as a YouTuber as I am passionate about technology.

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