As a part of learning bicep, I've created an arm template for linked service to an existing ADF. When I deploy the template from ADF, It is being deployed directly in live mode.
Would it be possible to deploy that template and have those newly created Linked Service to appear in a branch of my devops repository? So that I can have those in repository?
When deploying ARM to a new data factory, it is automatically deployed in live mode.
If you published a new linked service from data factory, it will appear the next time you deploy.
If you want more flexibility in deploying data factory, take a took at SQLPlayer. A library for flexible data factory deployment.
Related
I want to automate Azure data factory pipeline deployments.
I have Self Hosted Integration runtimes with a different name in each environment (i.e. SHIR-{environment}).
I have different data sources and destinations for each environment. (i.e. different SQL server names or Hostnames)
How can I perform the automatic weekly deployments to promote changes from GitHub dev branch to stage and stage to production? I don't want to modify these database server names in linked services during the GitHub PR merge.
To set up automated deployment, start with an automation tool, such as Azure DevOps. Azure DevOps provides various interfaces and tools in order to automate the entire process.
A development data factory is created and configured with Azure Repos Git. All developers should have permission to author Data Factory resources like pipelines and datasets.
A developer creates a feature branch to make a change. They debug their pipeline runs with their most recent changes. For more information on how to debug a pipeline run, see Iterative development and debugging with Azure Data Factory.
After a developer is satisfied with their changes, they create a pull request from their feature branch to the main or collaboration branch to get their changes reviewed by peers.
After a pull request is approved and changes are merged in the main branch, the changes get published to the development factory.
When the team is ready to deploy the changes to a test or UAT (User Acceptance Testing) factory, the team goes to their Azure Pipelines release and deploys the desired version of the development factory to UAT. This deployment takes place as part of an Azure Pipelines task and uses Resource Manager template parameters to apply the appropriate configuration.
After the changes have been verified in the test factory, deploy to the production factory by using the next task of the pipelines release.
For more information follow this link
We are trying to use self hosted integration runtime to extract data from on-prem fileshare. To implement CI/CD, I have created arm templates from the data factory where IR is successfully working and enabled sharing on for the Data Factory in which I am going to deploy my pipelines using ARM templates. I can successfully deploy pipeline and self hosted IR and linked services but IR is not available in the new data factory connections.
Is it normal? Because to use CI/CD with Data Factory, as soon as ARM gets deployed we should be ready to run pipelines without manual changes? And if I am correct then can anyone help why IR in the new Data Factory isn't available which is making the pipeline failed when I am trying to run it.
Self Hosted Integration Runtime are tied to the ADF it is created in.
To use CI/CD with Self Hosted IR you need to do following steps:
Create a new Data Factory other than the ones you using in CI/CD
process,then create the Self hosted Integration Runtime their.(This
ADF doesn't need to contain any of your pipeline or Dataset).
Go to the newly created Integration Runtime and click on edit or pencil
icon. Go to sharing tab of opened window.
Click on Grant Permission to other Data factory.(Search and Give Permission to all ADF
involved in CI/CD Process).
Copy the resource id Displayed. Go to the DEV Data Factory and create new Self hosted runtime of type linked.
5.Enter the Resource ID when asked and click create.
6.Then proceed to setup CI/CD process through DEV Data Factory.
Since through ARM template in all other Data factory linked Self Hosted IR will be created and if you provided permission then everything will work.
A Self-Hosted Integration Runtime, is 'owned' by exactly one Data Factory instance. The way the 'owner' and the 'sharer' factories define the IR are different. When you deployed one over the other, the type changed and you ended up with either two 'owners' or two 'sharers'. Since there can only be one 'owner' or a 'sharer' points to an 'owner', things break.
Our devops team have created an application (ex:athena) and registered with AD. They also have given us Service Principle.
The question I have is , how do I deploy my code in GitHub to the application (athena) that the devops team created for me using the “Deploy to kubernetes service” configuration template ?
Apologies in advance, as I am not proficient in Azure and this shows my gap in understanding.
The Information I have are :
Repository - GitHub (I have done the appropriate authorisation and can see the repository)
Service Principle (create by devops team)
Application (created by devops team)
I have created a Container Registry and Kubernetes service using azure portal
Now, I want to use the “Deploy to kubernetes service” configuration template.
Help much appreciated.
If you want to use this Deploy to kubernetes service, you must get two service connection : Azure Resource Manager and Kubernetes Service Connection.
So, first, you need to configure the connection between Azure Kubernetes, ARM and Azure Devops. Enter project setting->service connection, open New Service Connection and select Kubernetes. Input the relevant configure according to your Azure:
And so do with Azure Resource Manager, you can follow this doc to configure it. Here is my ARM connection you can refer:
Then, you can begin your build and release pipeline.
Deploy to kubernetes service task used in release pipeline. In build pipeline, you must run docker build, push task to finish pushing to Azure registry Container.
And then, run this deploy task in release. You can refer to this blog which written by Azure DevOps Labs: Deploying a multi-container application to Azure Kubernetes Services. It has detailed steps you can refer.
In addition, there has two build source type. One is you import your github repos into Azure Devops repos. So the build can be trigger by Azure Devops Repos. And the other is select Github as your build source, in this type, you can triggered directly by your github instead of use Azure Devops repos:
And also, this need you get the service connection with your Github first. Then, authorize it during the build pipeline.
What happens if you have multiple features being tested in test environment of a ADF V2 test data factory and only one or few of them is ready for production deployment. How do we hande this type of deployment scenario in Microsoft recommended CICD model of git/vsts integrated adf v2 through arm template
Consider we have dev test and prod environment of ADF v2. The dev environment is git integrated. The developers have debuged their changes and merged with collaboration branch after pull request. The changes are published and deployed to test environment first. Here many features are getting tested but few are ready for prod and few are not, how do we move the ones which are ready since tge arm template takes the entire factory?
this is somewhat of a strange question. you can apply same logic to anything, how do you create a feature for an application since application is only deployed as a single entity. answer would be: use git flow or something akin to that. Use feature branches and promotions.
How to create a azure devops build definition only to publish bin,web.config and global.asax for webapi service.
If you build a project in Azure DevOps, you'll get all the output. You're asking for a publish of the web API.
You're looking for an Azure Web App deployment.
The simplest way to deploy to an Azure Web App is to use the Azure App Service Deploy task. This task is automatically added to the release pipeline when you select one of the prebuilt deployment templates for Azure App Service deployment. Templates exist for apps developed in various programming languages. If you can't find a template for your language, select the generic Azure App Service Deployment template.