I had around 30 pipelines (each doing its own build, deploy, tests) , all in same project.
Instead of having to manually trigger all 30 pipelines each time, I wanted to create a separate pipeline YAML which on running it can trigger all the 30 individual pipelines.
Is there a way to achieve this?
I understand from documentation there is concept to add the pipeline triggers. However, I was not able to understand if single yaml can trigger individual pipelines - and if so, whether it is getting triggered at the completion of the pipeline or at the start of it.
Flow I was looking for is -
There are 30 individual pipelines each having complete flow for services:
stages:
stageA
stageB
stageC
Now, I was trying to create a pipeline yaml all_apps.yml which triggers all the 30 individual pipelines at once.
Configure pipeline to trigger multiple pipelines
There are several ways to accomplish it, you can choose the one that suits you.
First, we could set the Build completion for those 30 pipelines:
Go the edit page of the triggered yaml pipeline(Deploy pipeline), Click the 3dots and choose Triggers :
Go to Triggers--> Build completion and click add--> Select your triggering pipeline(all_apps.yml pipeline):
Second, there is an extension Trigger Azure DevOps Pipeline, we could use this task to trigger those 30 pipelines.
Third, you could it with both the Runs API and Build Queue API, both work with Personal Access Tokens. You can also use loops to make REST API calls more graceful. Check this thread for some more details.
Related
I have a two trigger synapse pipelines one which is scheduled at 03 am cst , What I'm looking now is the Second pipeline should trigger after the completion of the first pipeline i.e after 03 am cst.
Is there a way i can create this dependency in the synapse. If yes please suggest.
There are 2 options:
Create an event trigger for the 2nd pipeline and add a copy file activity at the end of 1st pipeline. So whenever the 1st pipeline gets completed, it would generate a file and trigger the 2nd pipeline
Use execute pipeline activity at the end of 1st pipeline and trigger the 2nd pipeline ( you can even use web activity but there would be additional efforts for it)
Create a tumbling window trigger for both pipelines.
While creating a tumbling window trigger for the second pipeline, you can add a dependency trigger under Advance property and select pipeline1 trigger.
The second trigger runs only upon completion of the dependency trigger.
How to schedule a one time run, non-repeating pipeline in AzurDevOps. I want to create this pipeline for our UAT environment, but I don't want to run it manually, so I was thinking is there a way I can put multiple specific dates to run the pipeline?
In short, we can't schedule a non-repeating pipeline in DevOps because it defines a schedule using cron syntax.
Each Azure Pipelines scheduled trigger cron expression is a space-delimited expression with five entries(Minutes, Hours, Days, Months, Days of week).
If you need to run pipeline at some specific days, as a workaround, please schedule it on your end and call the Rest API to run your pipeline.
There are the detailed steps: https://blog.geralexgr.com/cloud/trigger-azure-devops-build-pipelines-using-rest-api.
How to create Azure devops yaml Pipleine.I'm currently trying to create multiple build pipelines for my Angular app in Azure DevOps using the new YAML way. … As far as I can tell from the docs it is not possible to define multiple pipelines in a single .yml file either. Is this scenario currently not supported in Azure DevOps
To create a pipeline, the simplified steps are ...
Go to the project you want to create the pipeline in
Go to the 'Pipelines' menu
Click the blue 'New pipeline' button on the top right corner
Follow the wizard that will help you set up your YAML pipeline
You can also read Create your first pipeline
As far as multiple pipelines in one .yml file: no, you define one pipeline in one yaml file. But that doesn't mean you cannot have multiple stages in one pipeline.
A stage is a logical boundary in the pipeline. It can be used to mark separation of concerns (for example, Build, QA, and production). Each stage contains one or more jobs. When you define multiple stages in a pipeline, by default, they run one after the other. You can specify the conditions for when a stage runs. When you are thinking about whether you need a stage, ask yourself:
Do separate groups manage different parts of this pipeline? For example, you could have a test manager that manages the jobs that relate to testing and a different manager that manages jobs related to production deployment. In this case, it makes sense to have separate stages for testing and production.
Is there a set of approvals that are connected to a specific job or set of jobs? If so, you can use stages to break your jobs into logical groups that require approvals.
Are there jobs that need to run a long time? If you have part of your pipeline that will have an extended run time, it makes sense to divide them into their own stage.
and
You can organize pipeline jobs into stages. Stages are the major divisions in a pipeline: "build this app", "run these tests", and "deploy to pre-production" are good examples of stages. They are logical boundaries in your pipeline where you can pause the pipeline and perform various checks.
Source for the last snippet and an interesting read: Add stages, dependencies, & conditions.
I have a published and scheduled pipeline running at regular intervals. Some times, the pipeline may fail (for example if the datastore is offline for maintenance). Is there a way to specify the scheduled pipeline to perform a certain action if the pipeline fails for any reason? Actions could be to send me an email, try to run again in a few hours later or invoke a webhook. As it is now, I have to manually check the status of our production pipeline at regular intervals, and this is sub-optimal for obvious reasons. I could of course instruct every script in my pipeline to perform certain actions if they fail for whatever reason, but it would be cleaner and easier to specify it globally for the pipeline schedule (or the pipeline itself).
Possible sub-optimal solutions could be:
Setting up an Azure Logic App to invoke the pipeline
Setting a cron job or Azure Scheduler
Setting up a second Azure Machine Learning pipeline on a schedule that triggers the pipeline, monitors the output and performs relevant actions if errors are encountered
All the solutions above suffers from being convoluted and not very clean - surely there must exist a simple, clean solution for this problem?
This solution reads from the logs of your pipeline and let's you do something within a Logic App capability, I used it to email the team when a scheduled pipeline failed.
Steps:
Create Event Namespace and Event Hub
Create Service Bus Namespace and Service Bus Queue
Create a Stream Analytics Job using EventHub as Input and Service
Bus Queue as Output
Create Logic App with a trigger to any event coming into the Service
Bus Queue then, add an Outlook 360 send an email (v2) step
Create an Event Subscription inside ML Service that sends filtered
events to the Event Hub
Start Stream Analytics Job
Two fundamental steps while creating the Event subscription:
Subscribe to the 'Run Status Changed' event to get the log when a pipeline fails
Use the advanced filters section to specify which pipeline you want to monitor (change 'deal-UAT' to your specific ml experiment), like this:
It looks like a lot of setup but it's super easy and quick to do, it would look something like this in the end:
In my Azure DevOps release, I need to trigger an Azure Data Factory pipeline and wait for the process to finish.
Is there any way to do this without any special trick in Az DevOps? Currently using vsts-publish-adf in my release.
Thanks
It is feasible, though I am unable to evaluate whether it is a good idea in your situation. Here's the practical answer however:
You could trigger and follow the pipeline run with a Azure CLI Task that runs in your Release stage. Azure CLI has Data Factory-specific commands which begin with az datafactory, so you can use them in both cases.
starting the run with az datafactory pipeline-run
waiting for its completion in a loop, running az datafactory pipeline-run show e.g. once a minute
Another solution could be using a REST API, such as in this example of monitoring the pipeline run
Is there any way to do this without any special trick in Az DevOps?
The direct answer is No cause the third-party task itself doesn't support this scenario by design.
According to comment from the Author liprec: At this moment the task only triggers a pipeline run and is not waiting for that run to complete. He has plans to add such a task to wait and poll the task run. So what you want could be possible in coming days, but for now it's not supported.
You have to use something like Powershell scripts to trigger ADF pipeline run via command-line like Mekki suggests above. Here's another similar PS example.