Manage workers with HCP Boundary

15min
|
HCP
Boundary

HCP Boundary allows organizations to register their own self-managed workers. Self-managed workers can be deployed in private networks while still communicating with an upstream HCP Boundary cluster.

Note

Deploying self-managed workers with HCP Boundary requires the Boundary Enterprise binary for Linux, MacOS, Windows, BSD and Solaris. The workers also need to be up-to-date with the HCP control plane, otherwise new features will not work. The control plane version can be checked in the HCP Boundary portal. This tutorial was tested using Boundary 0.13.2.

HCP Boundary is an identity-aware proxy that sits between users and the infrastructure they want to connect to. The proxy has two components:

A control plane that manages state around users under management, targets, and access policies.
Worker nodes, assigned by the control plane once a user authenticates into HCP Boundary and selects a target.

HCP Boundary Access Model

Self-managing your workers allows Boundary users to securely connect to private endpoints (such as SSH services on hosts, databases, or HashiCorp Vault) without exposing a private network to the public or HashiCorp-managed resources.

HCP Boundary Access Model

This tutorial demonstrates the basics of how to register and manage workers using HCP Boundary.

Prerequisites

This tutorial assumes you have:

Access to an HCP Boundary instance
Completed the previous HCP Administration tutorials
A publicly accessible Ubuntu instance configured as a target (see the Manage Targets tutorial)

Self-managed HCP worker binaries exist for Linux, MacOS, Windows, BSD and Solaris. This tutorial provides two options for configuring the worker instance:

A publicly accessible Ubuntu instance to be used as a worker OR
Deploy a worker locally

Regardless of the method used, Workers must install the Boundary Enterprise binary to be registered with HCP. If using the first option, you can follow this guide to create a publicly accessible Amazon EC2 instance to use for this tutorial.

Configure the worker

To configure a self-managed worker, the following details are required:

HCP Cluster URL (Boundary address)
Auth Method ID (from the Admin Console)
Admin login name and password

Visit the Getting Started on HCP tutorial if you need to locate any of these values.

Warning

For the purposes of this tutorial it is important that the security group policy for the AWS worker instance accepts incoming TCP connections on port 9202 to allow Boundary client connections. To learn more about creating this security group and attaching it to your instance, check the AWS EC2 security group documentation. The screenshot below shows an example of this security group policy.

AWS Worker Security Group

Log in and download Boundary Enterprise

For example, using SSH:

$ ssh ubuntu@198.51.100.1 -i /path/my-key-pair.pem
The authenticity of host 'ec2-198-51-100-1.compute-1.amazonaws.com (198-51-100-1)' can't be established.
ECDSA key fingerprint is l4UB/neBad9tvkgJf1QZWxheQmR59WgrgzEimCG6kZY.
Are you sure you want to continue connecting (yes/no)? yes

ubuntu@ip-172-31-88-177:~

Note

The above example is for demonstrative purposes. You will need to supply your Ubuntu instance's username, public IP address, and public key to connect. If using AWS EC2, check this article to learn more about connecting to a Linux instance using SSH.

Create a new folder to store your Boundary config file. This tutorial creates the boundary/ directory in the user's home directory to store the worker config. If you do not have permission to create this directory, create the folder elsewhere.

$ mkdir /home/ubuntu/boundary/ && cd /home/ubuntu/boundary/

Next, download and install the Boundary Enterprise binary.

Note

The binary version should match the version of the HCP control plane. Check the control plane's version in the HCP Boundary portal, and download the appropriate version using wget. The example below installs the 0.13.2 version of the boundary binary, versioned as 0.13.2+ent.

Enter the following command to install the latest version of the Boundary Enterprise binary on Ubuntu.

$ curl -fsSL https://apt.releases.hashicorp.com/gpg | sudo gpg --dearmor -o /usr/share/keyrings/hashicorp-archive-keyring.gpg ;\
echo "deb [signed-by=/usr/share/keyrings/hashicorp-archive-keyring.gpg] https://apt.releases.hashicorp.com $(lsb_release -cs) main" | sudo tee /etc/apt/sources.list.d/hashicorp.list ;\
sudo apt update && sudo apt install boundary-enterprise -y

Once installed, verify the version of the boundary binary.

$ boundary version

Version information:
  Build Date:          2023-06-07T16:41:10Z
  Git Revision:        b1f75f5c731c843f5c987feae310d86e635806c7
  Metadata:            ent
  Version Number:      0.13.2+ent

Ensure the Version Number matches the version of the HCP Boundary control plane. They should match in order to get the latest HCP Boundary features.

Write the worker config

Next, create a new file named /home/ubuntu/boundary/worker.hcl.

$ touch /home/ubuntu/boundary/worker.hcl

Open the file with a text editor, such as Vi.

Paste the following configuration into the worker config file:

disable_mlock = true

hcp_boundary_cluster_id = "<cluster_id>"

listener "tcp" {
  address = "0.0.0.0:9202"
  purpose = "proxy"
}

worker {
  public_addr = "<worker_public_addr>"
  auth_storage_path = "/home/ubuntu/boundary/worker1"
  tags {
    type = ["worker1", "upstream"]
  }
}

Update the following values in the worker.hcl file:

<cluster_id> on line 3 should be replaced with the HCP Boundary Cluster ID, such as c3a7a20a-f663-40f3-a8e3-1b2f69b36254
<worker_public_addr> on line 11 should be replaced with the public IP address of the ubuntu worker, such as 107.22.128.152

The <cluster-id> on line 3 can be determined from the UUID in the HCP Boundary Cluster URL. For example, if you Cluster URL is:

https://c3a7a20a-f663-40f3-a8e3-1b2f69b36254.boundary.hashicorp.cloud

The public_addr should match the public IP or DNS name of your Ubuntu instance.

Note the listener "tcp" stanza:

listener "tcp" {
  address = "0.0.0.0:9202"
  purpose = "proxy"
}

The address port is set to 0.0.0.0:9202. This port should already be configured by the AWS security group for this instance to accept inbound TCP connections. If a custom listener port is desired, it should be defined here.

Save this file.

Workers have three configuration fields that can be specified:

auth_storage_path is a local path where a worker will store its credentials. Storage should not be shared between workers.
hcp_boundary_cluster_id accepts a Boundary cluster id and will be used by a worker when initially connecting to HCP Boundary. This field is set external to the workers stanza.
Your cluster id is the UUID in the controller URL. For example, if your controller URL is:
https://abcd1234-e567-f890-1ab2-cde345f6g789.boundary.hashicorp.cloud
Then your cluster id is abcd1234-e567-f890-1ab2-cde345f6g789.
initial_upstreams indicates the address or addresses a worker will use when initially connecting to Boundary. This is an alternative to setting the HCP cluster id, and is set within the workers stanza. Unless utilizing multi-hop sessions, this field should be left unset, as setting hcp_boundary_cluster_id is sufficient.
The worker configured with the hcp_boundary_cluster_id is known as the ingress worker, which provides access to the HCP Boundary cluster. Ingress workers ensure that connectivity is always available even if the HCP-managed upstream workers change.

Note

In the above example both the auth_storage_path and hcp_boundary_cluster_id are specified. If initial_upstreams was configured instead, then the hcp_boundary_cluster_id would be omitted. Do not set both hcp_boundary_cluster_id and initial_upstreams together, as the HCP cluster ID will take precedence.

To see all valid config options, refer to the worker configuration docs.

Start the worker

With the worker config defined, start the worker server. Provide the full path to the worker config file (such as /home/ubuntu/boundary/worker.hcl).

$ boundary server -config="/home/ubuntu/boundary/worker.hcl"

==> Boundary server configuration:

                               Cgo: disabled
                        Listener 1: tcp (addr: "0.0.0.0:9202", max_request_duration: "1m30s", purpose: "proxy")
                         Log Level: info
                             Mlock: supported: true, enabled: false
                           Version: Boundary v0.13.2+ent
                       Version Sha: b1f75f5c731c843f5c987feae310d86e635806c7
        Worker Auth Current Key Id: knoll-unengaged-twisting-kite-envelope-dock-liftoff-legend
  Worker Auth Registration Request: GzusqckarbczHoLGQ4UA25uSR7RQJqCjDfxGSJZvEpwQpE7HzYvpDJ88a4QMP3cUUeBXhS5oTgck3ZvZ3nrZWD3HxXzgq4wNScpy7WE7JmNrrGNLNEFeqqMcyhjqGJVvg2PqiZA6arL6zYLNLNCEFtRhcvG5LLMeHc3bthkrbwLg7R7TNswTjDJWmwh4peYpnKuQ9qHEuTK9fapmw4fdvRTiTbrq78ju4asvLByFTCTR3nbk62Tc15iANYsUAn9JLSxjgRXTsuTBkp4QoqBqz89pEi258Wd1ywcACBHRT3
          Worker Auth Storage Path: /home/ubuntu/boundary/worker1
          Worker Public Proxy Addr: 52.90.177.171:9202

==> Boundary server started! Log data will stream in below:

{"id":"l0UQKrAg7b","source":"https://hashicorp.com/boundary/ip-172-31-86-85/worker","specversion":"1.0","type":"system","data":{"version":"v0.1","op":"worker.(Worker).StartControllerConnections","data":{"msg":"Setting HCP Boundary cluster address 6f40d99c-ed7a-4f22-ae52-931a5bc79c03.proxy.boundary.hashicorp.cloud:9202 as upstream address"}},"datacontentype":"application/cloudevents","time":"2023-01-10T04:34:52.616180263Z"}

The worker will start and begin attempting to connect to the upstream Controller, printing a log message "worker is not authenticated to an upstream, not sending status".

The worker also outputs its authorization request as Worker Auth Registration Request. This will also be saved to a file, auth_request_token, defined by the auth_storage_path in the worker config.

Note the Worker Auth Registration Request: value on line 12. This value can also be located in the /boundary/auth_request_token file. Copy this value.

Exit the Ubuntu worker.

Open a terminal session on your local machine, where Boundary 0.9.0 or greater is installed.

Note

The Local Worker workflow is provided as a proof-of-concept to demonstrate deploying a self-managed worker. This workflow requires that the Boundary client and worker are deployed on the same local machine. For a more realistic deployment model, refer to the AWS workflow.

Download the Boundary Enterprise binary

Create a new folder to store your Boundary config file. This tutorial creates the boundary/ directory in the user's home directory ~/ (labeled as myusername later on) to store the worker config. If you do not have permission to create this directory, create the folder elsewhere.

$ mkdir ~/boundary/ && cd ~/boundary/

Download the HCP Worker binary.

Note

The binary version should match the version of the HCP control plane. Check the control plane's version in the HCP Boundary portal, and download the appropriate version. The example below installs the 0.13.2 version of the Boundary Enterprise binary, versioned as 0.13.2+ent.

Below are examples of obtaining the Boundary Enterprise binary on Ubuntu, MacOS, and Windows.

Enter the following command to install the latest version of the Boundary Enterprise binary on Ubuntu.

$ curl -fsSL https://apt.releases.hashicorp.com/gpg | sudo gpg --dearmor -o /usr/share/keyrings/hashicorp-archive-keyring.gpg ;\
echo "deb [signed-by=/usr/share/keyrings/hashicorp-archive-keyring.gpg] https://apt.releases.hashicorp.com $(lsb_release -cs) main" | sudo tee /etc/apt/sources.list.d/hashicorp.list ;\
sudo apt update && sudo apt install boundary-enterprise -y

Once installed, verify the version of the binary.

$ boundary version

Version information:
  Build Date:          2023-06-07T16:41:10Z
  Git Revision:        b1f75f5c731c843f5c987feae310d86e635806c7
  Metadata:            ent
  Version Number:      0.13.2+ent

First, locate the URI for the latest boundary release on the HashiCorp releases page:

https://releases.hashicorp.com/boundary/

Select the latest version, which should match the HCP Boundary control plane version. For example, this tutorial was tested using the boundary_0.13.2+ent version.

For MacOS, there are two versions of the binary available, based on whether your processor is AMD64 (x86_64) or ARM64.

Select the correct package to download the boundary zip to your local machine. Then extract the boundary binary to the ~/boundary/ directory.

Alternatively, the following commands download and extract the Boundary Enterprise binary to the current directory.

Export the URI of the package you would like to install. This tutorial was tested on an AMD64 mac and the 0.13.2 version of the HCP Boundary control plane.

Ensure you are located in the ~/boundary/ directory.

$ export WORKER_URI=https://releases.hashicorp.com/boundary/0.13.2+ent/boundary_0.13.2+ent_darwin_amd64.zip

Next, download the HCP worker binary and extract it.

$ wget -q $WORKER_URI ;\
/usr/bin/unzip *.zip

Once downloaded, verify the version of the boundary binary.

$ ./boundary version

Version information:
  Build Date:          2023-06-07T16:41:10Z
  Git Revision:        b1f75f5c731c843f5c987feae310d86e635806c7
  Metadata:            ent
  Version Number:      0.13.2+ent

Download the latest version of the Boundary Enterprise executable for your version of Windows from the HashiCorp releases page:

https://releases.hashicorp.com/boundary/

For example, if using an x64-based processor, the boundary_0.13.2+ent_windows_amd64.zip file would be downloaded from the 0.13.2 releases page.

Next, extract the zip-file contents to the ~/boundary/ directory.

Alternatively, if you know the path to the release you're trying to install, the following command downloads and extracts the boundary binary to the current directory.

Replace the WORKER_URI path with the path to the latest Boundary Enterprise binary from the releases page for your version of Windows.

$ $env:WORKER_URI = 'https://releases.hashicorp.com/boundary/0.13.2+ent/boundary_0.13.2+ent_windows_amd64.zip';
Invoke-WebRequest -OutFile boundary.zip $env:WORKER_URI ;
Expand-Archive -Path boundary.zip -DestinationPath .

Once downloaded, verify the version of the boundary binary.

$ .\boundary.exe version

Version information:
  Build Date:          2023-06-07T16:41:10Z
  Git Revision:        b1f75f5c731c843f5c987feae310d86e635806c7
  Metadata:            ent
  Version Number:      0.13.2+ent

If you want to install boundary as a system-wide executable, update your system's global path to include the path to boundary.exe.

Ensure the Version Number matches the version of the HCP Boundary control plane. They should match in order to get the latest HCP Boundary features.

Write the worker config

Next, create a new file named worker.hcl in the ~/boundary/ directory.

$ touch ~/boundary/worker.hcl

Open the file with a text editor, such as Vi.

Paste the following configuration into the worker config file:

disable_mlock = true

hcp_boundary_cluster_id = "<cluster-id>"

listener "tcp" {
  address = "127.0.0.1:9202"
  purpose = "proxy"
}

worker {
  auth_storage_path = "/home/myusername/boundary/worker1"
  tags {
    type = ["worker1", "upstream"]
  }
}

Update the cluster id in the worker.hcl file:

The <cluster-id> on line 3 can be determined from the UUID in the HCP Boundary Cluster URL. For example, if your Cluster URL is:

https://c3a7a20a-f663-40f3-a8e3-1b2f69b36254.boundary.hashicorp.cloud, then the cluster id is c3a7a20a-f663-40f3-a8e3-1b2f69b36254

The auth_storage_path should match the full path to the ~/boundary/worker1 directory, such as /home/myusername/boundary/worker1.

disable_mlock = true

hcp_boundary_cluster_id = "<cluster-id>"

listener "tcp" {
  address = "127.0.0.1:9202"
  purpose = "proxy"
}

worker {
  auth_storage_path = "/Users/myusername/boundary/worker1"
  tags {
    type = ["worker1", "upstream"]
  }
}

Update the cluster id in the worker.hcl file:

The <cluster-id> on line 3 can be determined from the UUID in the HCP Boundary Cluster URL. For example, if your Cluster URL is:

https://c3a7a20a-f663-40f3-a8e3-1b2f69b36254.boundary.hashicorp.cloud, then the cluster id is c3a7a20a-f663-40f3-a8e3-1b2f69b36254

The auth_storage_path should match the full path to the ~/boundary/worker1 directory, such as /Users/myusername/boundary/worker1.

disable_mlock = true

hcp_boundary_cluster_id = "<cluster-id>"

listener "tcp" {
  address = "127.0.0.1:9202"
  purpose = "proxy"
}

worker {
  auth_storage_path = "C:/Users/myusername/boundary/worker1"
  tags {
    type = ["worker1", "upstream"]
  }
}

Update the cluster id in the worker.hcl file:

The <cluster-id> on line 3 can be determined from the UUID in the HCP Boundary Cluster URL. For example, if your Cluster URL is:

https://c3a7a20a-f663-40f3-a8e3-1b2f69b36254.boundary.hashicorp.cloud, then the cluster id is c3a7a20a-f663-40f3-a8e3-1b2f69b36254

The auth_storage_path should match the full path to the ~/boundary/worker1 directory, such as C:/Users/myusername/boundary/worker1.

Save this file.

Workers have three configuration fields that can be specified:

auth_storage_path is a local path where a worker will store its credentials. Storage should not be shared between workers.
hcp_boundary_cluster_id accepts a Boundary cluster id and will be used by a worker when initially connecting to HCP Boundary. This field is set external to the workers stanza.
Your cluster id is the UUID in the controller url. For example, if your controller URL is:
https://abcd1234-e567-f890-1ab2-cde345f6g789.boundary.hashicorp.cloud
Then your cluster id is abcd1234-e567-f890-1ab2-cde345f6g789.
initial_upstreams indicates the address or addresses a worker will use when initially connecting to Boundary. This is an alternative to setting the HCP cluster id, and is set within the workers stanza. For most uses of HCP Boundary, this field should be left unset, as setting hcp_boundary_cluster_id is sufficient.
Using the hcp boundary cluster id ensures that connectivity is always available even if the HCP-managed upstream workers change. Do not use any KMS worker values for initial_upstreams.

In the above example both the auth_storage_path and hcp_boundary_cluster_id are specified. If initial_upstreams was configured instead, then the hcp_boundary_cluster_id would be omitted.

Note

Outside of the Local Worker workflow, a public_addr attribute should be supplied within the worker {} stanza. This example omits the worker's public address because the Boundary client and worker are deployed on the same local machine.

To see all valid config options, refer to the worker configuration docs.

Start the worker

With the worker config defined, start the worker server. Provide the full path to the worker config file (such as /home/myusername/boundary/worker.hcl).

$ boundary server -config="/home/myusername/boundary/worker.hcl"

==> Boundary server configuration:

                               Cgo: disabled
                        Listener 1: tcp (addr: "0.0.0.0:9202", max_request_duration: "1m30s", purpose: "proxy")
                         Log Level: info
                             Mlock: supported: true, enabled: false
                           Version: Boundary v0.13.2+ent
                       Version Sha: b1f75f5c731c843f5c987feae310d86e635806c7
        Worker Auth Current Key Id: knoll-unengaged-twisting-kite-envelope-dock-liftoff-legend
  Worker Auth Registration Request: GzusqckarbczHoLGQ4UA25uSR7RQJqCjDfxGSJZvEpwQpE7HzYvpDJ88a4QMP3cUUeBXhS5oTgck3ZvZ3nrZWD3HxXzgq4wNScpy7WE7JmNrrGNLNEFeqqMcyhjqGJVvg2PqiZA6arL6zYLNLNCEFtRhcvG5LLMeHc3bthkrbwLg7R7TNswTjDJWmwh4peYpnKuQ9qHEuTK9fapmw4fdvRTiTbrq78ju4asvLByFTCTR3nbk62Tc15iANYsUAn9JLSxjgRXTsuTBkp4QoqBqz89pEi258Wd1ywcACBHRT3
          Worker Auth Storage Path: /home/ubuntu/boundary/worker1
          Worker Public Proxy Addr: 52.90.177.171:9202

==> Boundary server started! Log data will stream in below:

{"id":"l0UQKrAg7b","source":"https://hashicorp.com/boundary/ip-172-31-86-85/worker","specversion":"1.0","type":"system","data":{"version":"v0.1","op":"worker.(Worker).StartControllerConnections","data":{"msg":"Setting HCP Boundary cluster address 6f40d99c-ed7a-4f22-ae52-931a5bc79c03.proxy.boundary.hashicorp.cloud:9202 as upstream address"}},"datacontentype":"application/cloudevents","time":"2023-01-10T04:34:52.616180263Z"}

$ ./boundary server -config="/Users/myusername/boundary/worker.hcl"

==> Boundary server configuration:

                               Cgo: disabled
                        Listener 1: tcp (addr: "0.0.0.0:9202", max_request_duration: "1m30s", purpose: "proxy")
                         Log Level: info
                             Mlock: supported: true, enabled: false
                           Version: Boundary v0.13.2+ent
                       Version Sha: b1f75f5c731c843f5c987feae310d86e635806c7
        Worker Auth Current Key Id: knoll-unengaged-twisting-kite-envelope-dock-liftoff-legend
  Worker Auth Registration Request: GzusqckarbczHoLGQ4UA25uSR7RQJqCjDfxGSJZvEpwQpE7HzYvpDJ88a4QMP3cUUeBXhS5oTgck3ZvZ3nrZWD3HxXzgq4wNScpy7WE7JmNrrGNLNEFeqqMcyhjqGJVvg2PqiZA6arL6zYLNLNCEFtRhcvG5LLMeHc3bthkrbwLg7R7TNswTjDJWmwh4peYpnKuQ9qHEuTK9fapmw4fdvRTiTbrq78ju4asvLByFTCTR3nbk62Tc15iANYsUAn9JLSxjgRXTsuTBkp4QoqBqz89pEi258Wd1ywcACBHRT3
          Worker Auth Storage Path: /Users/myusername/boundary/worker1
          Worker Public Proxy Addr: 52.90.177.171:9202

==> Boundary server started! Log data will stream in below:

{"id":"l0UQKrAg7b","source":"https://hashicorp.com/boundary/ip-172-31-86-85/worker","specversion":"1.0","type":"system","data":{"version":"v0.1","op":"worker.(Worker).StartControllerConnections","data":{"msg":"Setting HCP Boundary cluster address 6f40d99c-ed7a-4f22-ae52-931a5bc79c03.proxy.boundary.hashicorp.cloud:9202 as upstream address"}},"datacontentype":"application/cloudevents","time":"2023-01-10T04:34:52.616180263Z"}

$ .\boundary.exe server -config="C:\Users\myusername\boundary\worker.hcl"

==> Boundary server configuration:

                               Cgo: disabled
                        Listener 1: tcp (addr: "0.0.0.0:9202", max_request_duration: "1m30s", purpose: "proxy")
                         Log Level: info
                             Mlock: supported: true, enabled: false
                           Version: Boundary v0.13.2+ent
                       Version Sha: b1f75f5c731c843f5c987feae310d86e635806c7
        Worker Auth Current Key Id: knoll-unengaged-twisting-kite-envelope-dock-liftoff-legend
  Worker Auth Registration Request: GzusqckarbczHoLGQ4UA25uSR7RQJqCjDfxGSJZvEpwQpE7HzYvpDJ88a4QMP3cUUeBXhS5oTgck3ZvZ3nrZWD3HxXzgq4wNScpy7WE7JmNrrGNLNEFeqqMcyhjqGJVvg2PqiZA6arL6zYLNLNCEFtRhcvG5LLMeHc3bthkrbwLg7R7TNswTjDJWmwh4peYpnKuQ9qHEuTK9fapmw4fdvRTiTbrq78ju4asvLByFTCTR3nbk62Tc15iANYsUAn9JLSxjgRXTsuTBkp4QoqBqz89pEi258Wd1ywcACBHRT3
          Worker Auth Storage Path: C:\Users\myusername\boundary\worker1
          Worker Public Proxy Addr: 52.90.177.171:9202

==> Boundary server started! Log data will stream in below:

{"id":"l0UQKrAg7b","source":"https://hashicorp.com/boundary/ip-172-31-86-85/worker","specversion":"1.0","type":"system","data":{"version":"v0.1","op":"worker.(Worker).StartControllerConnections","data":{"msg":"Setting HCP Boundary cluster address 6f40d99c-ed7a-4f22-ae52-931a5bc79c03.proxy.boundary.hashicorp.cloud:9202 as upstream address"}},"datacontentype":"application/cloudevents","time":"2023-01-10T04:34:52.616180263Z"}

The worker will start and begin attempting to connect to the upstream Controller, printing a log message "worker is not authenticated to an upstream, not sending status".

Note the Worker Auth Registration Request: value on line 12. This value can also be located in the /boundary/auth_request_token file. Copy this value.

Register the worker with HCP

HCP workers can be registered using the Boundary CLI or Admin Console Web UI.

Authenticate to HCP Boundary as the admin user.

Log in to the HCP portal.
From the HCP Portal's Boundary page, click Open Admin UI - a new page will open.
Enter the admin username and password you created when you deployed the new instance and click Authenticate.

Once logged in, navigate to the Workers page.

Notice that only HCP workers are listed.

Click New.

HCP Workers

The new workers page can be used to construct the contents of the worker.hcl file.

Do not fill in any of the worker fields.

Providing the following details will construct the worker config file contents for you:

Boundary Cluster ID
Worker Public Address
Config file path
Worker Tags

The instructions on this page provide details for installing the Boundary Enterprise binary and deploying the constructed config file.

Because the worker has already been deployed, only the Worker Auth Registration Request key needs to be provided on this page.

Scroll down to the bottom of the New Worker page and paste the Worker Auth Registration Request key you copied earlier.

Click Register Worker.

HCP Workers

Click Done and notice the new worker on the Workers page.

HCP Workers

Ensure that the BOUNDARY_ADDR and BOUNDARY_AUTH_METHOD_ID environment variables are set.

$ export BOUNDARY_ADDR="https://c3a7a20a-f663-40f3-a8e3-1b2f69b36254.boundary.hashicorp.cloud"

$ export BOUNDARY_AUTH_METHOD_ID="ampw_KfLAjMS2CG"

Log into the CLI as the admin user, providing the admin login name and admin password when prompted.

$ boundary authenticate
Please enter the login name (it will be hidden):
Please enter the password (it will be hidden):
Authentication information:
  Account ID:      acctpw_VOeNSFX8pQ
  Auth Method ID:  ampw_ZbB6UXpW3B
  Expiration Time: Mon, 13 Feb 2023 12:35:32 MST
  User ID:         u_ogz79sV4sT
The token was successfully stored in the chosen keyring and is not displayed here.

Next, export the Worker Auth Request Token value as an environment variable.

$ export WORKER_TOKEN=<Worker Auth Registration Request Value>

The token is used to issue a create worker request that will authorize the worker to Boundary and make it available.

Create a new worker:

$ boundary workers create worker-led -worker-generated-auth-token=$WORKER_TOKEN

Worker information:
  Active Connection Count:   0
  Created Time:              Mon, 19 Sep 2022 16:39:44 MDT
  ID:                        w_r61cCrlm4M
  Type:                      pki
  Updated Time:              Mon, 19 Sep 2022 16:39:44 MDT
  Version:                   1

  Scope:
    ID:                      global
    Name:                    global
    Type:                    global

  Authorized Actions:
    no-op
    read
    update
    delete
    add-worker-tags
    set-worker-tags
    remove-worker-tags

Note

Workers can be managed using the standard boundary CRUD commands: create, read, list, update, and delete. Currently addresses and tags can only be set within the worker config file. Values that can be updated in the API are indicated as “Canonical”.

These fields are available on the boundary worker resource:

Id: The read-only ID for this worker.
Created time: A timestamp indicating when the worker was created.
Last status time: A timestamp indicating when the worker last sent data to a controller
Updated time: A timestamp indicating when this worker resource was last updated
Version: A read-only field indicating the version number for this resource
Active connection count: A read only field indicating the number of active session connections this worker is currently proxying.
Scope: Indicates the scope for this resource
Worker-Provided Configuration: Lists the values set in the worker’s configuration file
Addresses: Lists the addresses Boundary uses when handling an authorize session request. This value will never be empty and is set within the worker config file form the following values in decreasing priority:
- The value set in the public_address field in the worker stanza, if present.
- The value set in the address field of the listener stanza with the "proxy" purpose, if present.
Tags: Lists the tags set in the worker configuration file and canonical tags.

Worker management

List the available workers:

$ boundary workers list

Worker information:
  ID:                        w_r61cCrlm4M
    Type:                    pki
    Version:                 1
    Address:                 100.24.18.207:9202
    Last Status Time:        Mon, 19 Sep 2022 22:40:02 UTC
    Authorized Actions:
      no-op
      read
      update
      delete
      add-worker-tags
      set-worker-tags
      remove-worker-tags

  ID:                        w_FYy3CJipUd
    Type:                    kms
    Version:                 1
    Name:                    797132fe-1fcb-1bb8-122c-abfb32acad39-worker
    Address:                 797132fe-1fcb-1bb8-122c-abfb32acad39.proxy.boundary.hashicorp.cloud:9202
    Last Status Time:        Mon, 19 Sep 2022 22:40:02 UTC
    Authorized Actions:
      no-op
      read
      delete
      add-worker-tags
      set-worker-tags
      remove-worker-tags

  ID:                        w_djfIunfBrR
    Type:                    kms
    Version:                 1
    Name:                    78eaad58-5e3f-4b04-83f6-360ef8828f07-worker
    Address:                 78eaad58-5e3f-4b04-83f6-360ef8828f07.proxy.boundary.hashicorp.cloud:9202
    Last Status Time:        Mon, 19 Sep 2022 22:40:03 UTC
    Authorized Actions:
      no-op
      read
      delete
      add-worker-tags
      set-worker-tags
      remove-worker-tags

  ID:                        w_xv0uKOxQW5
    Type:                    kms
    Version:                 1
    Name:                    33c9d3bd-7326-2cf8-58ba-ee99ec43d34a-worker
    Address:                 33c9d3bd-7326-2cf8-58ba-ee99ec43d34a.proxy.boundary.hashicorp.cloud:9202
    Last Status Time:        Mon, 19 Sep 2022 22:40:03 UTC
    Authorized Actions:
      no-op
      read
      delete
      add-worker-tags
      set-worker-tags
      remove-worker-tags

Copy the worker ID (such as w_r61cCrlm4M).

Read the worker details:

$ boundary workers read -id w_r61cCrlm4M

Worker information:
  Active Connection Count:   0
  Address:                   100.24.18.207:9202
  Created Time:              Mon, 19 Sep 2022 16:39:44 MDT
  ID:                        w_r61cCrlm4M
  Last Status Time:          2022-09-19 22:40:41.133773 +0000 UTC
  Type:                      pki
  Updated Time:              Mon, 19 Sep 2022 16:40:41 MDT
  Version:                   1

  Scope:
    ID:                      global
    Name:                    global
    Type:                    global

  Tags:
    Configuration:
      type: ["worker1" "upstream"]
    Canonical:
      type: ["worker1" "upstream"]

  Authorized Actions:
    no-op
    read
    update
    delete
    add-worker-tags
    set-worker-tags
    remove-worker-tags

To update a worker, issue an update request using the worker ID. The request should include the fields to update.

Update the worker name and description:

$ boundary workers update -id=w_r61cCrlm4M -name="worker1" -description="my first self-managed worker"

Worker information:
  Active Connection Count:   0
  Address:                   100.24.18.207:9202
  Created Time:              Mon, 19 Sep 2022 16:39:44 MDT
  Description:               my first self-managed worker
  ID:                        w_r61cCrlm4M
  Last Status Time:          2022-09-19 22:41:04.793293 +0000 UTC
  Name:                      worker1
  Type:                      pki
  Updated Time:              Mon, 19 Sep 2022 16:41:05 MDT
  Version:                   2

  Scope:
    ID:                      global
    Name:                    global
    Type:                    global

  Tags:
    Configuration:
      type: ["worker1" "upstream"]
    Canonical:
      type: ["worker1" "upstream"]

  Authorized Actions:
    no-op
    read
    update
    delete
    add-worker-tags
    set-worker-tags
    remove-worker-tags

Updating a worker will return the updated resource details.

Lastly, a worker can be deleted by issuing a delete request using boundary workers delete and passing the worker ID. To verify deletion, check the worker no longer exists with boundary workers list.

Note

Do not delete the new worker. Proceed to the next section to test the new worker using an existing target.

Worker-aware targets

From the Manage Targets tutorial you should already have a configured target.

List the available targets:

$ boundary targets list -recursive

Target information:
  ID:                    ttcp_xIxdzx3f68
    Scope ID:            p_A3yaexUoKn
    Version:             2
    Type:                tcp
    Name:                ubuntu-target
    Description:         Ubuntu target
    Authorized Actions:
      no-op
      read
      update
      delete
      add-host-sources
      set-host-sources
      remove-host-sources
      add-credential-sources
      set-credential-sources
      remove-credential-sources
      authorize-session

Export the target ID as an environment variable:

$ export TARGET_ID=<ubuntu-target-ID>

Boundary can use worker tags that define key-value pairs targets can use to determine where they should route connections.

A simple tag was included in the worker.hcl file from before:

worker {
  tags {
    type = ["worker1", "upstream"]
  }

This config creates the resulting tags on the worker:

Tags:
  Worker Configuration:
    type: ["worker1" "upstream"]
  Canonical:
    type: ["worker1" "upstream"]

In this scenario, only one worker is allowed to handle connections to the Ubuntu target. This worker functions as both the "ingress" worker, which handles initial connections from clients, and an "egress" worker, which establishes the final connection to the target.

In a "multi-hop" worker scenario the egress worker is the last worker in a series of "hops" to reach targets in private network enclaves. Multi-hop workers are explored in the next tutorial. The upstream worker tag will be used in next tutorial to set up multi-hop.

The Tags or Name of the worker (worker1) can be used to create a worker filter for the target.

Update this target to add a worker tag filter that searches for workers that have the worker1 tag. Boundary will consider any worker with this tag assigned to it an acceptable proxy for this target.

$ boundary targets update tcp -id $TARGET_ID -egress-worker-filter='"worker1" in "/tags/type"'

Target information:
  Created Time:               Wed, 08 Feb 2023 13:58:43 MST
  Description:                Ubuntu target
  Egress Worker Filter:       "worker1" in "/tags/type"
  ID:                         ttcp_EcoBxVwg0Y
  Name:                       ubuntu-target
  Session Connection Limit:   -1
  Session Max Seconds:        28800
  Type:                       tcp
  Updated Time:               Thu, 09 Feb 2023 15:30:52 MST
  Version:                    19

  Scope:
    ID:                       p_p7smJxUmK4
    Name:                     QA_Tests
    Parent Scope ID:          o_cJBJF1PUmd
    Type:                     project

  Authorized Actions:
    no-op
    read
    update
    delete
    add-host-sources
    set-host-sources
    remove-host-sources
    add-credential-sources
    set-credential-sources
    remove-credential-sources
    authorize-session

  Host Sources:
    Host Catalog ID:          hcst_HKuvpaMhiV
    ID:                       hsst_iYZzbdLHYw

  Attributes:
    Default Port:             22

Note

The type: "upstream" tag could have also been used, or a filter that searches for the name of the worker directly ("/name" == "worker1").

With the filter assigned, any connections to this target will be forced to proxy through the worker.

Finally, establish a connection to the target. Enter your instance's login name after the -l option and the path to your instance's public key after the -i option.

$ boundary connect ssh -target-id $TARGET_ID -- -l ubuntu -i /path/to/key.pem

Welcome to Ubuntu 22.04 LTS (GNU/Linux 5.15.0-1011-aws x86_64)

 * Documentation:  https://help.ubuntu.com
 * Management:     https://landscape.canonical.com
 * Support:        https://ubuntu.com/advantage

  System information as of Tue Sep 20 17:54:00 UTC 2022

  System load:  0.0               Processes:             98
  Usage of /:   22.7% of 7.58GB   Users logged in:       0
  Memory usage: 25%               IPv4 address for eth0: 172.31.93.237
  Swap usage:   0%

 * Ubuntu Pro delivers the most comprehensive open source security and
   compliance features.

   https://ubuntu.com/aws/pro

0 updates can be applied immediately.


The list of available updates is more than a week old.
To check for new updates run: sudo apt update

Last login: Tue Sep 20 17:41:48 2022 from 44.194.155.74
To run a command as administrator (user "root"), use "sudo <command>".
See "man sudo_root" for details.

ubuntu@ip-172-31-93-237:~$

Sessions can be managed using the same methods discussed in the Manage Sessions tutorial.

When finished, the session can be terminated manually, or canceled via another authenticated Boundary command. Sessions can also be managed using the Admin Console UI.

Note

To cancel this session using the CLI, you will need to open a new terminal window and re-export the BOUNDARY_ADDR and BOUNDARY_AUTH_METHOD_ID environment variables. Then log back into Boundary using boundary authenticate.

$ boundary sessions list -recursive

Session information:
  ID:                    s_Ks3FDSv6Yk
    Scope ID:            p_A3yaexUoKn
    Status:              active
    Created Time:        Tue, 20 Sep 2022 12:08:37 MDT
    Expiration Time:     Tue, 20 Sep 2022 20:08:37 MDT
    Updated Time:        Tue, 20 Sep 2022 12:08:37 MDT
    User ID:             u_UL0xXn8gj6
    Target ID:           ttcp_zoyuyn7ZWR
    Authorized Actions:
      no-op
      read
      read:self
      cancel
      cancel:self

Cancel the existing session.

$ boundary sessions cancel -id=s_Ks3FDSv6Yk

Session information:
  Auth Token ID:       at_FszYgaQHJk
  Created Time:        Tue, 20 Sep 2022 12:08:37 MDT
  Endpoint:            tcp://3.87.143.34:22
  Expiration Time:     Tue, 20 Sep 2022 20:08:37 MDT
  Host ID:             hst_6kM0snziuh
  Host Set ID:         hsst_Hr8NXSBNzt
  ID:                  s_Ks3FDSv6Yk
  Status:              canceling
  Target ID:           ttcp_zoyuyn7ZWR
  Type:                tcp
  Updated Time:        Tue, 20 Sep 2022 12:09:32 MDT
  User ID:             u_UL0xXn8gj6
  Version:             3

  Scope:
    ID:                p_A3yaexUoKn
    Name:              QA_Tests
    Parent Scope ID:   o_tzz4IxP11N
    Type:              project

  Authorized Actions:
    no-op
    read
    read:self
    cancel
    cancel:self

  States:
    Start Time:        Tue, 20 Sep 2022 12:09:32 MDT
    Status:            canceling

    End Time:          Tue, 20 Sep 2022 12:09:32 MDT
    Start Time:        Tue, 20 Sep 2022 12:08:37 MDT
    Status:            active

    End Time:          Tue, 20 Sep 2022 12:08:37 MDT
    Start Time:        Tue, 20 Sep 2022 12:08:37 MDT
    Status:            pending

Summary

This tutorial demonstrated self-managed worker registration with HCP Boundary and discussed worker management. You deployed a self-managed worker, registered the worker with HCP Boundary, and tested the proxy connection to a target.

To continue learning about Boundary, check out the Multi-Hop Sessions tutorial.

Worker-aware targets

Manage multi-hop sessions with HCP

This tutorial also appears in:

9 tutorials

HCP Boundary resource management workflows
Common workflows for managing targets, identities, and sessions on HCP Boundary.
- Boundary