Azure Infrastructure as Code (IaC) with Bicep - Getting Started with Development

 Bicep is the latest declarative IaC tool from Microsoft for Azure, which is built on top of Azure Resource Manager (ARM) templates. Bicep offers you the ability to deploy even preview resources on Azure as it is always will be the most up to date IaC declarative tool Azur. Bicep convertors to into ARM JSON for execution. We have seen how to setup development environment for Bicep in windows in the post here. In this post let's get started with developing Bicep code to deploy infrastructure to Azure.

Azure Infrastructure as Code (IaC) with Bicep - Setup Development Environment

 Bicep is the latest infrastructure as code solution released by Microsoft to develop and deploy resources to Azure cloud. Bicep is built on top of Azure resource manager templates (ARM) simplifying the development by introducing a declarative syntax to define infrastructure resources. Bicep converts into ARM templates JSON before execution. Let’s begin with setting up a development environment for Bicep.

Generating Terraform Graphs for Azure with Visual Studio Code

 Terraform is widely used for infrastructure as code implementations (IaC) even on Azure cloud resource deployments. Identifying resources in more visualize way would be useful and terraform support creating such graphs. Utilizing same command in VS Code in a bit more sophisticated way is available with the Azure Terraform extension to VS Code.

Get Policy Availability in BitBucket Repo to Have a Build (Azure DevOps Build etc.) Validating a Pull Request

 You can setup Build pipelines in BitBucket itself or even Azure DevOps builds to validate an incoming pull request to a stable branch such as master/main. You might want to setup some KPIs to validate availability of such build for PR validation. For such requirements you may have to obtain data from BitBucket API to check if a build validation policy exists for the stable branches in your repos. Let's see how we can get such data from BitBucket APIs.

Pass Map Type Parameters to Terraform via Azure Pipelines

Terraform based resource deployment to Azure is a great way to implement infrastructure as code. The map type in variables support implementing loop-based resource deployment specifications in terraform. It is important to understand passing such variable as parameter in command line to implement pipelines.

Automated Install of Docker Desktop with WSL2 on Windows 10

In windows 10 you can now setup Docker Desktop with Linux container, without using a virtual machine for Linux, by using Windows Subsystem for Linux (WSL). Remembering all manual steps for doing this is bit cumbersome, and therefore let’s look at how we can use PowerShell to automate the task of installing Docker Desktop with WSL version 2, on Windows 10.

Deploying Azure Resource Group with Ansible Play Book Using Custom Ubuntu 18.04 VM

In a previous post we have discussed how to setup Ansible on Azure Ubuntu 18.04 VM. We can start using Ansible and execute play books to deploy Infrastructure on Azure cloud. Let’s look at how we can get started with deploying resources to Azure using an Ansible playbook, on the VM we created with Ansible as explained in the post “Install Ansible to Use Python3 on Azure Ubuntu 18.04 VM”.

Open SSH Connection in VS Code to Azure Ubuntu VM to Perform Remote Development

VS Code is a useful development tool which can be used on any platform to develop code in any language of your preference. In an Azure Ubuntu VM without setting up the desktop remote access, you may want to perform development work and may want to perform debugging activities, as you are doing with local files in a Linux environment. You can use ssh extension for VS Code and create ssh connection to a VM in Azure or anywhere over ssh and work connected to the remote Linux, MacOS or Windows machines via VS Code. Let’s look at steps to connect to a Ubuntu VM on Azure using a VS Code in Windows 10 local machine.