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Category: DevOps

Continuous Deployment in Practice

Published 2024-11-11 by Kevin Feasel

Bravin Wasike completes a series on continuous integration and continuous deployment:

Continuous Deployment (CD) is an advanced CI/CD practice that takes automation to the next level. It automatically deploys every code change that passes the automated testing phase to production. Unlike Continuous Delivery, which requires manual approval before deploying to production, Continuous Deployment eliminates manual intervention. This allows for seamless and frequent software updates.

Click through for the full article.

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Running a Microsoft Fabric Notebook via Azure DevOps

Published 2024-09-05 by Kevin Feasel

Kevin Chant runs a notebook:

In this post I want to share one way that you can run a Microsoft Fabric notebook from Azure DevOps.

You can consider this post a follow-up to my last post about unit tests on Microsoft Fabric items. Since somebody asked me about automating notebooks and I wanted to show it in action.

Please note, currently the ability to call the API that runs a notebook on demand does not support service principals.

Despite that limitation, Kevin shows two ways to authenticate while calling the appropriate API.

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CI/CD in GitHub

Published 2024-04-10 by Kevin Feasel

I have a new video:

In this video, I explain what continuous integration (CI) is, disambiguate continuous delivery from continuous deployment (CD), and see how you can perform CI/CD operations using GitHub Actions.

Read on to see what these terms mean and an example of how it all works with .NET projects.

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Going with the Flow: GitHub Edition

Published 2024-03-27 by Kevin Feasel

I have a new video:

In this video, cover the GitHub flow. We talk a bit about branching strategies and how GitHub development ought to look in a multi-developer situation.

The GitHub flow is a minor variant from the classical Git flow, but one that works well with the ethos of development specifically in GitHub. It’s often overkill for a single-developer repo, but once you have a team working on a problem, this is a much more efficient approach.

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Learning about GitHub Actions

Published 2024-03-20 by Kevin Feasel

I have a new video:

In this video, we dig into GitHub’s process for executing code: GitHub Actions workflows. We’ll learn what Actions and workflows are, how we can create them from scratch, and how to incorporate Actions from the GitHub Marketplace into our own workflows.

Along the way, I describe what GitHub Actions workflows are and we build a simple one. I’ll have more videos coming up that expand on GitHub Actions and show you more of what you can do with them.

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The State of CI/CD in Power BI

Published 2024-02-02 by Kevin Feasel

Paul Turley violates Betteridge’s Law of Headlines:

The answer – finally – is a resounding YES! It has been a long road and the path to implementing Continuous Integration & Delivery (CI/CD) in all of its forms for Power BI is still a journey, but the capabilities are now a reality. This broad category includes a range of features and capabilities related to managing project files with version control and the ability to share and collaborate with other development team members. Additionally, we also have the ability to assign individual components of a solution to different team members who then check-out files and develop features, check them back in and merge changes into a feature branch. In enterprise-class projects, having these capabilities enables true Development Operations or DevOps: a process for managing iterative development, testing and deployment with automated builds, using a central process management tool. Implementing full-fledged DevOps is a big lift for most Business Intelligence professionals but the core concept of code version control is essential for any durable project.

Read on for Paul’s thoughts on the importance of source control and how you can pull this off.

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Git Integration for Power BI Reports in Microsoft Fabric

Published 2023-08-25 by Kevin Feasel

Kevin Chant gives GIt integration a try:

To manage expectations, this post covers:

  1. Brief overview of Microsoft Fabric Git integration.
  2. How I converted a Power BI report to a Power BI Desktop project containing metadata files.
  3. Converting the folder that contains the Desktop project into a Git repository.
  4. Synchronizing the Git repository with Azure DevOps.
  5. Setting up Microsoft Fabric Git integration.
  6. Initial tests.
  7. Interesting workaround to deploy a second Power BI report using metadata.

Read on for Kevin’s thoughts.

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Deploying Azure Resources with Terraform and GitHub Actions

Published 2023-08-23 by Kevin Feasel

Reitse Eskens sets up some new resources:

When you start out with Terraform, you’ll most likely run the code locally with terraform on your own machine. Terraform works with a so-called state-file, it saves the state of the Azure deployment it left behind and compares the (new) code with the state it encounters when it runs again. Changes are resolved by changing, deleting or adding resources that don’t match the state-file.

This works fine when you’re flying solo and don’t have co-workers who can change resources as well. Whenever you need to share code, the industry standard is to use a git solution, whether GitHub, GitLab, Azure DevOps or some other solution, as long as it has version control you should be fine (providing people adhere to the correct usage of branches).

Click through for a step-by-step walkthrough, as well as explanation of the major actors in that play.

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Creating Sprint Review Reports with Azure DevOps and Fabric

Published 2023-08-15 by Kevin Feasel

Kevin Chant checks the burndown:

In this post I want to cover using Azure DevOps Analytics views and Microsoft Fabric to create Sprint review dashboards.

I consider this post to be a sequel to one of my post popular posts that covered using Azure DevOps Analytics views and Power BI to create Sprint review dashboards. For four very good reasons.

Read on for those reasons, along with the steps Kevin took.

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Deploying to Multiple Power BI Dataset Environments

Published 2023-06-07 by Kevin Feasel

Richard Swinbank configures some deployments:

In earlier posts in this series, I talked about to developing and deploying standalone Power BI datasets and automating report deployment into different environments. I’ll bring together those approaches in this post, to enable deployment of shared datasets into multiple environments. This has consequences for automated report deployment, and I’ll take a look at that too.

Read the whole thing.

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