Bicep infrastructure as code allows us to pass array parameters and write loop structure of script to deploy multiple resources to Azure. we can define json array as parameter value in an Azure DevOps variable to pass it as an array parameter to Bicep using a pipeline. However, it would be more appropriate to define varible values in much simpler way such as specifying ; separated value set which can be converted into a json string as in Azure pipeline before passing it to Bicep script. An example would be list of database names to create in the same Azure SQL elastic pool.
Friday, 30 July 2021
Saturday, 17 July 2021
Running Bicep IaC with GitHub Actions
We have discussed deploying Bicep script using an Azure DevOps pipeline in a pervious post. We have explored having a approvals working with GitHub actions in the post "Manual Approval in GitHub Actions". Let's utilize manual approvals and deploy Bicep script with GitHub actions.
Saturday, 3 July 2021
Manual Approval in GitHub Actions
Before deploying to an environment with GitHub actions, you may need to implement a manual approval, especially in production environment. If it is a infrastructure deployment pipeline you may need even implement approvals for development environments to avoid unstable environments due to infrastructure failures. You may want to check what happens if you deploy Bicep or Terraform script, and then approve the execution to the target environment. Let's try to understand how to implement a manual approval step in GitHub actions
Friday, 25 June 2021
Azure Resources with Bicep Using Azure Pipelines
Bicep is the latest Azure infrastructure as code (IaC) language introduced by Microsoft. We have discussed about getting started with Bicep in the post "Azure Infrastructure as Code (IaC) with Bicep - Getting Started with Development". Let's look at how to implement an Azure pipeline to deploy infrastructure to Azure with Bicep in this post.
Saturday, 19 June 2021
Passing Output Parameters from Bicep Modules
We have discussed about deploying resources to a resource group using Azure Bicep in the post "Azure Infrastructure as Code (IaC) with Bicep - Creating Resources in Resource Group". If we are referring a resource created via a module in another module, we might have to pass identification of such resources as output parameters from a module. Let's learn how to pass output parameters in Bicep modules and use them in other resources in this post.
Saturday, 12 June 2021
Deploy AKS and ACR with GitHub Actions
There are so many ways to write infrastructure as code such as using Terraform or Bicep for Azure. Azure CLI is a fast way to deploy infrastructure with PowerShell scripting to Azure. Deploying infrastructure in Azure with utilizing pipeline which is running infrastructure as code is useful to achieve fully automated deployments. Let's try to combine Azure CLI and GitHub Actions to deploy an AKS (Azure Kubernetes Services) with Azure container registry (ACR) association to achieve deployment automation of AKS.
Saturday, 29 May 2021
Azure Infrastructure as Code (IaC) with Bicep - Creating Resources in Resource Group
We have discussed getting started with Bicep and creating a resource group with Bicep script scoped to a subscription in the post "Azure Infrastructure as Code (IaC) with Bicep - Getting Started with Development". Once a resource group is created we can start deploying resources in the resource group with Bicep. In this post let's explore the strategy we can use to deploy resources to a a resource group created with Bicep.
Saturday, 22 May 2021
Resolving "The deployment 'main' already exist" error in Bicep
We have started exploring the Bicep language for Azure infrastructure automation with the post "Azure Infrastructure as Code (IaC) with Bicep - Getting Started with Development". However, as practice if you use the name main.bicep for the infrastructure template main file, you might run into error "The deployment 'main' already exist" in another infrastructure project where you are using the same main.bicep name. This is because of the way we have executed the deployment command.
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