capturing my experience with everything devopsy
I start planning for the following year in the last two weeks of December. I use Azure DevOps to track my work -break down goals into features, and features into user stories, which I map into sprints. Creating iterations and adding them to projects is something that anyone can automate. Last year I used the … Continue reading Automate Azure Boards iteration using PowerShell and Azure Pipelines
Often while working on automation, I am required to interact with AWS cloud resources. For example, when using my laptop, I use the AWS CLI; I have the latest version installed. However, I prefer AWS Tools for Powershell if I automate the process into a build pipeline. If you are new to AWS Tools for … Continue reading Install and use AWS tools for PowerShell on Azure DevOps Pipelines YAML
When it comes to identifying a process to deliver continuous value to customers, CI-CD is the defacto standard. And container technology enables that by encapsulating an application and its dependencies into a package that can be hosted and scaled independently of other applications. So DevOps engineers and application developers merged these ideas to forge a … Continue reading Push Docker images to Amazon ECR using YAML based Azure Pipelines
Quite often, I use secure variables in Azure Pipelines. However, though I want to use them, I do not intend on sharing the values of the variables in the code or logs due to security. Hence I required a variable store that was secure and, at the same time, easily accessible by Azure Pipelines. I … Continue reading Manage secure variables with Azure DevOps Library and Azure Pipelines
I start planning for the following year in the last two weeks of December. I use Azure DevOps to track my work -break down goals into features, and features into user stories, which I map into sprints. Creating iterations and adding them to projects is something that anyone can automate. I learned that from Vinicius … Continue reading Create Azure DevOps iterations using PowerShell
As the name suggests, Static analysis is the ability to scan software code to search and highlight deviations from specified standards. The purpose of static code analysis is to speed up the feedback process of developing software or infrastructure. In general, once code is merged/committed to a repository, failures/defects/bugs are identified during the following stages: … Continue reading Static analysis with Checkov, Terraform, and Azure Pipelines
This note is a short addition to the last post -CI/CD of Terraform workspace with YAML-based Azure Pipelines. At the end of that article, I mentioned a few alternate routes regarding YAML-based Azure Pipelines, which I will be covering here. So that we are on the same page, I broke down the build pipeline into … Continue reading YAML based Azure Pipeline approach for CI/CD of Terraform workspace
This note focuses on using Azure DevOps with Terraform workspace to automate the ideas discussed in the previous two notes (i) CI/CD using Terraform and Azure Pipelines -ideation and (ii) Terraform workspace with multiple AWS accounts. If you are new to Azure DevOps, I would suggest you familiarize yourself with either Azure DevOps build and … Continue reading CI/CD of Terraform workspace with YAML based Azure Pipelines
As of this writing [Feb 2021], if you've used the Terraform extension from Microsoft DevLabs, you'd have noticed that there is support for only a tiny set of Terraform commands out of the box. These are init, validate, plan, validate and apply, and destroy. But Terraform has many commands: fmt, import, output, show, taint, workspace, … Continue reading Exploring Azure Pipelines, Terraform, and Powershell
In my previous note, [Azure DevOps and Terraform to provision Amazon S3], I listed in detail the steps to be followed to provision an Amazon S3 bucket using Azure DevOps and Terraform. I referred to the classic editor in the build definition/azure pipelines. Build and release definitions declared via a classic editor in Azure DevOps, … Continue reading Azure Pipelines (YAML) and Terraform to provision Amazon S3
My Devops Journal 