I'm facing the following issue: I have one git repo with a Node.js application. The application is divided into several components, namely: server, client, microserviceA, microserviceB. There is also a directory named shared with some sharaed code used by all the other components.
I have a pipeline for each of the components that only runs tests, which run on pull-request to master. Each pipeline only runs when the PR contains changes relevant to him, e.g. server-ci will run only when there were changes in the server component, etc.
Now, on merge to master, I would like to build the components and deploy them on a staging server. Currently what I have is as follows: for each component (beside the shared) I have another build pipeline (<component>-build) which on merge to master builds the corresponding component (depending on the changes made, as above). I have one Release pipeline which takes as artifacts all these build pipelines and deploys them on the staging server. So the good thing about this is that merge to master which includes only changes in client will build only client and not all the rest of the components.
The problem is, that on merge to master that contains changes to several components, I'll have more than one build pipeline running, so they will both trigger the Release pipeline. This is not desirable.
A possible solution I thought about was, to have only one build pipeline which runs on merge to master, but then I'd have to build ALL the components on each merge, which is inefficient.
What is the best way to deal with such situation?
In the release stage settings you can configure that Number of parallel deployments will be 1:
Related
I've been fighting with this for a while. I've been able to get it working with two separate release pipelines, but not with one. It seems that in one pipeline the PR trigger for releases fires for all environments, even with separate build artifacts.
Goal is to have the following in one release pipeline:
PR to dev and merge to dev deploys to dev environment
PR to main deploys to QA environment
Merge to main of said PR releases to prod (with manual approval step).
It would be great to get this one one release pipeline, as that would reduce overhead and management, etc.
I've tried all sorts of variations with artifact release triggers and the environment pre-deployment conditions, but to no avail.
I've even tried using 2 separate build pipelines (one for main, one for develop) and then loading both as artifacts and trying to separate that way, but even when only 1 build pipeline runs, it triggers the PR release condition for both environments.
You should be able to achieve this if you implement your release pipeline with the new YAML pipelines.
The simplest option (which is not quite what you are asking for but should get the same outcome) would be to create a template with your core deployment logic, then create separate pipelines that reuse this template. That should allow you to replicate the triggers that you already had working for two release pipelines without needing to duplicate the deployment code.
Alternatively, you could set up a single YAML pipeline with Stages for Dev, QA and Prod, and set conditions on the stages, based on the source branch and/or build reason.
I have four environments that I deploy to.
I also have four different code branches that we use to deploy code from.
We constantly switch the branches we use to deploy on these environments.
One time I want to build and deploy a daily branch on my test environment.
Later I want to build and deploy a enhancements branch on the same test environment.
Next I want to build and deploy the daily branch on my test2 environment.
I think you get the picture
We are currently using a manual process to pull from the branch we want deployed, then zip it up and push it to AWS code deploy.
Using Azure DevOps pipeline and release what is the easiest method to allow me to switch to use different branchs on different environments.
I currently have a successful setup in Azure DevOps that performs a gradle build, creates the artifact and then lets me push it over to AWS CodeDeploy on one of my environments. I just can't seem to figure out a way to eastily swtich the branch without creating tons of Azure pipelines and releases.
Thanks all!
Where you manually trigger a build pipeline by clicking Queue or Run Pipeline, A new windows shown as below will be prompted which allows you to switch the branches.
If you want to automatically deploy different branch to different environment. You can push the build artifacts over to AWS CodeDeploy in a release pipeline and set the branch filters. Please refer to below steps:
1, set branch filter in the build pipeline as shown in below screenshot which will build the selected branched. Check here for more information about triggers.
2, create a release pipline to push build artifacts over to AWS CodeDeploy.
And Set the Artifact filters which will only allow the artifacts built from the specified branch to be deployed to this tage.
You could use a queue time variable to specify the branch name you would like to use on your build pipeline. You would need to:
Edit your build pipeline and create the variable on the "variables" tab. Make sure to mark the "Settable at queue time" check
variable creation
Update the source of your build pipeline, to specify the new variable under the "Default branch" option. It would look something like this:
pipeline source
RUN your pipeline. Before finally clicking on RUN, you will be able to specify the desire branch:
set variable value
Hope this works
I've recently been working on switching from On premise TFS to Azure DevOps, and trying to learn more about the different pipelines and I think I may have had my Build pipeline do too much.
Currently I have my Build Pipeline do
Get Source code from Repo
Run database scripts/deploy dacpacs
Copy files over to virtual machines that have web application set up already
Run unit/integration tests
Publish the test results
I repeat these steps closely multiple times, one for develop branch, one for current and previous release branch.
But if I want to take advantage of the Releases and Deployments areas what would that really get me?
It looks like it would be easier to say yes this code did make it out to this dev/beta environment.
I'm working with ColdFusion code that includes some .NET webservices within the repo, would I have to make an artifact that zips up the repo and then deploys it, or is there a better way to take advantage of the release pipeline?
It's not necessary to make an artifact that zips up the repo and then deploys it. There are several types of tools you might use in your application lifecycle process to produce or store artifacts. For example, you might use version control systems such as Git or TFVC to store your artifacts. You can configure Azure Pipelines to deploy artifacts from multiple sources. Check the following link for more details:
https://learn.microsoft.com/en-us/azure/devops/pipelines/release/artifacts?view=azure-devops#sources
I want to create automated deployment pipeline for azure datafactory.
For one stream of development we can configure it using doc
https://learn.microsoft.com/en-us/azure/data-factory/continuous-integration-deployment
But when it comes to deploying to two diff test datafactories for parrallel features development (in two different branches), it is not working because the adb_publish which gets generated is only specific to the one datafactory.
Currently we are doing deployement using powershell scripts and passing object list which needs to be deployed.
Our repo is in Azure devops.
I tried
linking the repo to multiple df but then it is causing issue, perhaps when finding deltas to publish.
Creating forks of repo instead of branches so that adb_publish can be seperate for the every datafactory - but this approach will not work when there is a conflict, which needs manual merge, so the testing will be required again instead of moving to prod.
Adf_publish get generated whenever you publish. Publishing takes whatever you have in your repo and updates data factory with it.
To develop multiple features in parallel, you need to just use "Save". Save will commit your changes to the branch you are actually working on. Other branches will do the same. Whenever you want to publish, you need to first make a pull request from your branch to master, then publish. Any merge conflict should be solved when merging everything in the master branch. Then just publish and there shouldn't be any conflicts, and adf_publish will get generated after that.
Hope this helped!
Since a GitHub repository can be associated with only one data factory. And you are only allowed to publish to the Data Factory service from your collaboration branch. Check this
It seems there is not a direct and easy way to accomplish this. If forking repo as workaround, you may have to solve the conflicts before merging as #Martin suggested.
Using the Delivery Pipeline service, I'd like to deploy my artifacts to staging/QA environments where QA/Product team members can test features/defect fixes before those changes get merged into Production branch.
How would I spin up these temporary testing environments when pull requests are created?
There is currently no way to build off of pull requests. One option would be to have a separate branch that people can merge code into. You can then have a build stage which builds that branch and a deploy stage to deploy to your staging/qa environment. You can then have another stage will does the merge into the production branch. (Note, this stage should only be triggered manually.)