How to run five agent jobs simultaneously in VSTS (Azure DevOps)?

How to run five agent jobs simultaneously in VSTS (Azure DevOps)?

In Azure DevOps (formerly known as Visual Studio Team Services or VSTS), you can use Azure Pipelines to run multiple agent jobs simultaneously. Here's how you can achieve this:

Step-by-Step Guide

  1. Create a Pipeline:

    • Go to your Azure DevOps project.
    • Navigate to Pipelines > Pipelines.
    • Click on "New Pipeline" to create a new pipeline.
  2. Define Stages:

    • Define stages in your pipeline. Each stage can have one or more agent jobs.
    • Click on "Stages" and define your stages. For example, you might have stages for Build, Test, Deploy, etc.
  3. Define Agent Jobs:

    • Within each stage, define the agent jobs you want to run simultaneously.
    • Click on the stage, then click on the "+" button to add a job.
    • Define the tasks you want to run in each job.
  4. Configure Parallel Jobs:

    • By default, Azure Pipelines runs stages and jobs in parallel within a stage. You can control parallelism at the stage level.
    • If you want to run multiple jobs within a stage simultaneously, you can define a job dependencies graph.
  5. Define Job Dependencies:

    • Navigate to the "Dependencies" tab within a stage.
    • Use the "dependsOn" keyword to specify job dependencies. Jobs without dependencies run in parallel.
    • For example, if you have five agent jobs (Job1, Job2, Job3, Job4, Job5) and you want to run Job1 and Job2 simultaneously, but Job3, Job4, and Job5 should only run after Job1 and Job2 are complete, you can define the dependencies as follows:
    jobs: - job: Job1 steps: ... - job: Job2 dependsOn: Job1 steps: ... - job: Job3 dependsOn: Job2 steps: ... - job: Job4 dependsOn: Job2 steps: ... - job: Job5 dependsOn: Job2 steps: ... 
  6. Run the Pipeline:

    • Once you've configured your pipeline, you can trigger a run.
    • Azure Pipelines will execute the stages and jobs according to the defined dependencies and parallelism settings.

Example YAML Pipeline

Here's an example YAML pipeline with five agent jobs running simultaneously:

stages: - stage: Build jobs: - job: BuildJob steps: - script: echo "Building..." - stage: Test jobs: - job: TestJob1 steps: - script: echo "Testing..." - job: TestJob2 steps: - script: echo "Testing..." - stage: Deploy jobs: - job: DeployJob1 steps: - script: echo "Deploying..." - job: DeployJob2 steps: - script: echo "Deploying..." - job: DeployJob3 steps: - script: echo "Deploying..." 

In this example, TestJob1 and TestJob2 run simultaneously in the "Test" stage, while DeployJob1, DeployJob2, and DeployJob3 run simultaneously in the "Deploy" stage. Adjust the dependencies and parallelism settings according to your specific requirements.

Summary

In Azure Pipelines, you can run multiple agent jobs simultaneously by defining dependencies and configuring parallelism at the stage level. This allows you to optimize the execution of your pipeline and improve overall efficiency. Adjust the YAML configuration to fit your specific pipeline requirements.

Examples

  1. How to define parallel jobs in Azure DevOps pipeline YAML?

    • Description: This involves configuring the pipeline YAML file to specify multiple jobs that can run in parallel.
    • Code:
      # azure-pipelines.yml jobs: - job: Job1 pool: AgentPool1 steps: - script: echo Job 1 - job: Job2 pool: AgentPool1 steps: - script: echo Job 2 - job: Job3 pool: AgentPool1 steps: - script: echo Job 3 - job: Job4 pool: AgentPool1 steps: - script: echo Job 4 - job: Job5 pool: AgentPool1 steps: - script: echo Job 5 
  2. How to configure the parallelism of jobs in an Azure DevOps pipeline?

    • Description: This query is about adjusting the parallelism settings in the pipeline to run multiple jobs concurrently.
    • Code:
      # azure-pipelines.yml pool: name: AgentPool1 demands: - agent.name -equals DesiredAgentName strategy: parallel: 5 
  3. How to limit the number of parallel jobs in Azure DevOps?

    • Description: This involves setting a limit on the number of parallel jobs to avoid overwhelming the agents.
    • Code:
      # azure-pipelines.yml pool: name: AgentPool1 jobs: - job: Job1 steps: - script: echo Job 1 - job: Job2 steps: - script: echo Job 2 # and so on... parallel: 5 
  4. How to use agent demands to control job distribution in Azure DevOps?

    • Description: This involves specifying agent capabilities to ensure jobs are distributed to the appropriate agents.
    • Code:
      # azure-pipelines.yml jobs: - job: Job1 pool: name: AgentPool1 demands: - Agent.Name -equals agent-001 steps: - script: echo Job 1 - job: Job2 pool: name: AgentPool1 demands: - Agent.Name -equals agent-002 steps: - script: echo Job 2 
  5. How to use stages and dependencies to manage job execution in Azure DevOps?

    • Description: This query is about structuring the pipeline into stages with dependencies to control the execution flow.
    • Code:
      # azure-pipelines.yml stages: - stage: Build jobs: - job: Job1 steps: - script: echo Job 1 - job: Job2 steps: - script: echo Job 2 - stage: Deploy dependsOn: Build jobs: - job: Job3 steps: - script: echo Job 3 - job: Job4 steps: - script: echo Job 4 - job: Job5 steps: - script: echo Job 5 
  6. How to optimize Azure DevOps pipelines for faster execution?

    • Description: This query seeks ways to optimize the pipeline configuration for quicker execution, which may involve parallel job execution.
    • Code:
      # azure-pipelines.yml jobs: - job: Build pool: AgentPool1 steps: - script: echo Building... - job: Test pool: AgentPool2 dependsOn: Build steps: - script: echo Testing... - job: Deploy pool: AgentPool3 dependsOn: Test steps: - script: echo Deploying... 

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