If your pipelines are in Azure Pipelines, then you've got a convenient option to run your jobs using a Microsoft-hosted agent. With Microsoft-hosted agents, maintenance and upgrades are taken care of for you. You always get the latest version of the VM image you specify in your pipeline. Each time you run a pipeline, you get a fresh virtual machine for each job in the pipeline. The virtual machine is discarded after one job (which means any change that a job makes to the virtual machine file system, such as checking out code, will be unavailable to the next job). Microsoft-hosted agents can run jobs directly on the VM or in a container.

An agent that you set up and manage on your own to run jobs is a self-hosted agent.You can use self-hosted agents in Azure Pipelines or Azure DevOps Server, formerly named Team Foundation Server (TFS).Self-hosted agents give you more control to install dependent software needed for your builds and deployments.Also, machine-level caches and configuration persist from run to run, which can boost speed.


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Although multiple agents can be installed per machine, we strongly suggest to only install one agent per machine. Installing two or more agents might adversely affect performance and the result of your pipelines.

If you know that you are not using any Node 6 dependant tasks, and you don't want Node 6 installed on your agent machine, you can install the agent from the Alternate Agent Downloads section from -pipelines-agent/releases.

Azure Virtual Machine Scale Set agents are a form of self-hosted agents that can be auto-scaled to meet your demands. This elasticity reduces your need to run dedicated agents all the time. Unlike Microsoft-hosted agents, you have flexibility over the size and the image of machines on which agents run.

Microsoft provides a free tier of service by default in every organization that includes at least one parallel job. Depending on the number of concurrent pipelines you need to run, you might need more parallel jobs to use multiple Microsoft-hosted or self-hosted agents at the same time. For more information on parallel jobs and different free tiers of service, see Parallel jobs in Azure Pipelines.

Every self-hosted agent has a set of capabilities that indicate what it can do. Capabilities are name-value pairs that are either automatically discovered by the agent software, in which case they are called system capabilities, or those that you define, in which case they are called user capabilities.

The agent software automatically determines various system capabilities such as the name of the machine, type of operating system, and versions of certain software installed on the machine. Also, environment variables defined in the machine automatically appear in the list of system capabilities.

Storing environment variables as capabilities means that when an agent runs, the stored capability values are used to set the environment variables. Also, any changes to environment variables that are made while the agent is running won't be picked up and used by any task. If you have sensitive environment variables that change and you don't want them to be stored as capabilities, you can have them ignored by setting the VSO_AGENT_IGNORE environment variable, with a comma-delimited list of variables to ignore. For example, PATH is a critical variable that you might want to ignore if you're installing software.

When you author a pipeline, you specify certain demands of the agent. The system sends the job only to agents that have capabilities matching the demands specified in the pipeline. As a result, agent capabilities allow you to direct jobs to specific agents.

Demands and capabilities are designed for use with self-hosted agents so that jobs can be matched with an agent thatmeets the requirements of the job. When using Microsoft-hosted agents, you select an image for the agent thatmatches the requirements of the job, so although it is possible to add capabilities to a Microsoft-hosted agent, you don't needto use capabilities with Microsoft-hosted agents.

You can view the details of an agent, including its version and system capabilities, and manage its user capabilities, by navigating to Agent pools and selecting the Capabilities tab for the desired agent.

The following example lists all agents in pool ID: 4 in table format. To retrieve the ID of pools, use az pipelines pool list. This example uses the following default configuration: az devops configure --defaults organization= -tailspin project=FabrikamFiber

The following example displays agent details for the agent with the ID of 3. This example uses the following default configuration: az devops configure --defaults organization= -tailspin project=FabrikamFiber

After you install new software on a self-hosted agent, you must restart the agent for the new capability to show up. For more information, see Restart Windows agent, Restart Linux agent, and Restart Mac agent.

The agent communicates with Azure Pipelines or Azure DevOps Server to determine which job it needs to run, and to report the logs and job status. This communication is always initiated by the agent. All the messages from the agent to Azure Pipelines or Azure DevOps Server happen over HTTP or HTTPS, depending on how you configure the agent. This pull model allows the agent to be configured in different topologies as shown below.

The user registers an agent with Azure Pipelines or Azure DevOps Server by adding it to an agent pool. You need to be an agent pool administrator to register an agent in that agent pool. The identity of agent pool administrator is needed only at the time of registration and is not persisted on the agent, nor is it used in any further communication between the agent and Azure Pipelines or Azure DevOps Server. Once the registration is complete, the agent downloads a listener OAuth token and uses it to listen to the job queue.

The agent listens to see if a new job request has been posted for it in the job queue in Azure Pipelines/Azure DevOps Server using an HTTP long poll. When a job is available, the agent downloads the job as well as a job-specific OAuth token. This token is generated by Azure Pipelines/Azure DevOps Server for the scoped identity specified in the pipeline. That token is short lived and is used by the agent to access resources (for example, source code) or modify resources (for example, upload test results) on Azure Pipelines or Azure DevOps Server within that job.

The payload of the messages exchanged between the agent and Azure Pipelines/Azure DevOps Server are secured using asymmetric encryption. Each agent has a public-private key pair, and the public key is exchanged with the server during registration. The server uses the public key to encrypt the payload of the job before sending it to the agent. The agent decrypts the job content using its private key. This is how secrets stored in pipelines or variable groups are secured as they are exchanged with the agent.

When you use the agent to deploy artifacts to a set of servers, it must have "line of sight"connectivity to those servers. The Microsoft-hosted agent pools, by default, haveconnectivity to Azure websites and servers running in Azure.

If your Azure resources are running in an Azure Virtual Network, you can get theAgent IP ranges where Microsoft-hosted agents are deployedso you can configure the firewall rules for your Azure VNet to allow access by the agent.

If your on-premises environments do not have connectivity to a Microsoft-hosted agent pool(which is typically the case due to intermediate firewalls), you'll need tomanually configure a self-hosted agent on on-premises computer(s). The agents must have connectivity to the targeton-premises environments, and access to the Internet to connect to Azure Pipelines or Team Foundation Server,as shown in the following schematic.

To register an agent, you need to be a member of the administrator role in the agent pool. The identity of agent pool administrator is needed only at the time of registration and is not persisted on the agent, and is not used in any subsequent communication between the agent and Azure Pipelines or Azure DevOps Server. In addition, you must be a local administrator on the server in order to configure the agent.

When you register an agent, choose from the following authentication types, and agent setup prompts you for the specific additional information required for each authentication type. For more information, see Self-hosted agent authentication options.

The authentication method used for registering the agent is used only during agent registration. To learn more about how agents communicate with Azure Pipelines after registration, see Communication with Azure Pipelines or TFS.

You can run your self-hosted agent as either a service or an interactive process.After you've configured the agent, we recommend you first try itin interactive mode to make sure it works. Then, for production use,we recommend you run the agent in one of the following modes sothat it reliably remains in a running state. These modes alsoensure that the agent starts automatically if the machine is restarted.

As a service. You can leverage the service manager of theoperating system to manage the lifecycle of the agent. In addition, theexperience for auto-upgrading the agent is better when it is runas a service.

As an interactive process with auto-logon enabled. In some cases,you might need to run the agent interactively for production use -such as to run UI tests. When the agent is configured to run in thismode, the screen saver is also disabled. Some domain policies mightprevent you from enabling auto-logon or disabling the screen saver. Insuch cases, you might need to seek an exemption from the domain policy,or run the agent on a workgroup computer where the domain policiesdo not apply. ff782bc1db

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