I'm working on a project where we have a front end application. This application has a second entry point I've added for our login application. So I've started setting up a new pipeline for building it. Upon a successful build & push of the login-app artifact I want the login server to also trigger a build. The backend .net app for the login server will serve the built angular app from its public folder, so hence the reason to trigger the pipeline.
In each of the repos we have three branches that we deploy from: qa, uat, and prod. So when a qa build runs for the frontend, I want the qa branch of the login server to run. Same with uat -> uat and prod -> prod. Based on the information here: https://learn.microsoft.com/en-us/azure/devops/pipelines/process/pipeline-triggers?view=azure-devops#branch-considerations it doesn't sound like I can use the pipeline triggers for this. Is there another approach we could take?
If you don't use pipeline completion triggers in yaml, you could consider to use build completion trigger(Classic).
In the other hand, you could install external free extenion: Trigger Build Task or Trigger Azure DevOps Pipeline, so there will be additional available task to trigger a new build when this build is done.
Of course, you could directly use Rest API: Builds - Queue to queue a build.
Related
I have a React app and I've set up a build pipeline that publishes the build directory as artifacts.
I was anticipating setting up a release pipeline to deploy it like I would with AzureFunctions or an AppService.
But apparently not: when I created the static website it has created a new build pipeline which also deploys. Why would you want every build to deploy? This is nonsense.
Also, the branch name is hard-coded somehow and can't be changed. Obviously I'll want to change that to master after I've got it working.
Furthermore, when trying to create a release pipeline there is no task for Azure static website.
What is going on?
Can I have a normal build and release like everything else?
Why does this have to be different -- the inconsistency is confusing and infuriating.
But apparently not: when I created the static website it has created a
new build pipeline which also deploys. Why would you want every build
to deploy? This is nonsense.
You can change the trigger of the pipeline to make the deployment be done as you want.
Check these official documents:
CI Trigger for DevOps
PR Trigger for DevOps
If you don't want the pipeline trigger automatically, you can replace the trigger part of the pipeline as this:
trigger: none
Also, the branch name is hard-coded somehow and can't be changed.
Obviously I'll want to change that to master after I've got it
working.
Just like the above, the design of Azure SWA in this regard is a bit counter-intuitive, these settings are also not operated on the Azure Portal side, but on the DevOps side.
You need follow these to change the source:
After the above two steps, the source of the Azure SWA will be changed successfully, but the UI of the Azure Portal side will not change immediately at this time. A success deployment will change it:
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 have an Azure DevOps CI Build and Release pipeline in following setup:
CI Build runs with each new commit in develop branch and creates a Build Drop (Artifact)
Release pipeline runs with each new Artifact and deploys to INT and eventually to PROD (after manual approval)
I would like to add a 3rd stage (called eg. MONITOR) which would run after the PROD release every night using the same drop as the PROD stage used, with following schema:
[Build Drop] -> [INT] -> manual approval: [PROD] -> nightly scheduler: [MONITOR]
This seems to be impossible to me, do you know how to achieve this goal?
Following is crucial for me:
the MONITOR and PROD run always from exactly the same Artifact
MONITOR is executed only if the PROD was successful
if there is a newer PROD release, the old MONITOR is not executed any more and instead the newest one is executed using the newest Artifact which made it to PROD
I tried so far following:
merge develop to master when the commit made it to PROD. And then used scheduled nightly Build from master with MONITOR stage - it works, but MONITOR uses different Artifact than PROD, so not usable for me
used scheduled trigger for MONITOR after PROD - does not work, the MONITOR is executed only once at scheduled time and never again
created extra release pipeline based on specific Artifact version with a scheduled trigger - this works, but I have to maintain the specific Artifact version manually with each successful PROD release. Another caveat is that I have to use 2 separate pipelines which makes the overview not so nice. (but, so far the best solution I achieved)
do you have better ideas? many thanks
What I would do is have 2 separate Release Pipelines.
This allows you to schedule the release without producing a new artifact (scheduled build).
Then, I would do some of what #Soccerjoshj07 suggested in that I would invoke the REST api in a task on the MONITOR pipeline/stage.
I would make the REST api call to the Releases endpoint to get the top=1 releases for releasedefinitionid=x. Then use the Release Environment endpoint to get the PROD environment for that latest release id. With the environment in hand, check the status for succeeded. If not, fail the release.
Edit as per new requirement outlined in comment
Given PROD.1 is succeeded and PROD.2 is failed when MONITOR is triggered, then the artifact from PROD.1 should be used for MONITOR.
With this criteria I would change some things. Rather than have the MONITOR go digging for the latest PROD release and fail if the latest is failed, I would make the successful PROD stage tag its build artifact and employ artifact filters on the Monitor pipeline.
The tagging can occur via the REST api or using the Tag Build or Release Task from Colin's ALM Corner Build & Release Tools and might look like this:
Are you using a YAML template, and if so have you played with the cron schedules? https://learn.microsoft.com/en-us/azure/devops/pipelines/build/triggers?view=azure-devops&tabs=yaml#scheduled-triggers
If using classic Release UI, I think you can have the definition trigger be on a schedule but that would queue the entire definition. You might have to get creative with variables and maybe create 'isScheduled=true' and use that to determine if it should skip tasks.
Other ideas:
Create a logic app or function app that calls the REST API? Sample app and github link here: https://oshamrai.wordpress.com/2019/04/22/azure-devops-rest-api-19-queue-builds-and-download-build-results/
The Azure-Devops AZ CLI extension might be easier, though: https://learn.microsoft.com/en-us/cli/azure/ext/azure-devops/pipelines/build?view=azure-cli-latest#ext-azure-devops-az-pipelines-build-queue
Beside setting up two release pipelines, if you want to use scheduled trigger for only one Stage, I am afraid there is no such out of box way to achieve that, scheduled trigger is only for entire pipeline.
As a workaround, you can add a custom condition for the job of MONITOR stage.
For example in yaml:
- stage: MONITOR
jobs:
- job:
condition: and(always(), eq(variables['Release.Reason'], 'Schedule'))
steps:
In UI , you can set this in Run this job of agent job:
In this case, the stage only executed when the release triggered by scheduled trigger. If the release is triggered by other reasons, the MONITOR stage will be skipped .
The limitation of this workaround is that when your pipeline is triggered by a scheduled trigger, two other stages are also executed.
Or write a script with powershell task (in INT/PROD stages) to determine whether Release.Reason is Schedule. If yes , skip the current stage.
For how to obtain the latest artifact version of PROD and determine the deployment status of PROD, you can refer to the two answers above.
We have a web application in an Azure DevOps repo and there's a branch policy on the master branch that kicks off a build when a pull request is created. This validates that it compiles and performs code quality checks and the like.
We also have some integration tests (using Mocha and Selenium) that live in another repo. I would like to run the integration tests when a PR against master is created.
As far as I know I cannot have the same build pull from two different repos (without using extensions and it seems cleaner to me to have two separe builds anyway). So I thought I would have another build just to run the integration tests. The build that pulls from the webapp repo would have a final step where it would deploy to an integration tests environment and then the second build would get the latest version of the integration tests and run them against the integration tests environment. I created a Build Completion trigger on the integration tests build that is triggered by the completion of the webapp build.
The problem is that when I queue the webapp build manually, it will launch the integration tests build when done. But when the webapp build is queued by an incoming PR, the integration tests build does not get triggered.
Is this a bug in Azure DevOps or am I going about this wrong?
Also in my side builds from PR doesn't trigger another builds (with Build Completion trigger), I don't know if it's a bug or it's by design.
Anyway, there is a workaround - the final step in the first build will trigger the second build. how? with Trigger Build task.
You just need to change the branch because it will be a merge branch from the PR that doesn't exist in the tests repository:
You can also do it without install extensions with PowerShell task and the Rest API.
I'm trying to configure Azure DevOps Release pipelines for our projects, and I have a pretty clear picture of what I want to achieve, but I'm only getting almost all the way there.
Here's what I'd like:
The build pipeline for each respective project outputs, as artifacts, all the things needed to deploy that version into any environment.
The release pipeline automatically deploys to the first environment ("dev" in our case) on each successful build, including PR builds.
For each successive environment, the release must have been deployed successfully to all previous environments. In other words, in order to deploy to the second environment ("st") it must have been deployed to the first one ("dev"), and in order to deploy to the third ("at") it must have been successfully deployed to all previous (both "dev" and "st"), etc.
All environments can have specific requirements on from what branches deployable artifacts must have been built; e.g. only artifacts built from master can be deployed to "at" and "prod".
Each successive deploy to any environment after the first one is triggered manually, by someone on a list of approvers. The list of approvers differs between environments.
The only way I've found to sort-of get all of the above working at the same time, is to automatically trigger the next environment after a successful deployment, and add a pre-deployment gate with a manual approval step. This works, except the manual approval doesn't trigger the deployment per se, but rather let an already triggered deployment start executing. This means that any release that's not approved for lifting into the next environment, is left hanging until manually dismissed.
I can avoid that by having a manual trigger instead of automatic, but then I can't enforce the flow from one environment to the next (it's e.g. possible to deploy to "prod" without waiting for successful deployments to the previous stages).
Is there any way to configure Azure DevOps Release Pipelines to do all of the things I've outlined above at once?
I think you are correct, you can only achieve that by setting automatic releases after successful release with approval gates. I dont see any other options with currect Azure DevOps capabilities.
Manual with approval gates doesnt check previous environments were successfully deployed to, unfortunately.
I hope this provides some clarity after the fact. Have you looked at YAML Pipelines In this you can specify the conditions on each stage
The stages can then have approvals on them as well.