213 lines
7.9 KiB
Plaintext
213 lines
7.9 KiB
Plaintext
---
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layout: docs
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page_title: Worker configuration
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description: |-
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Worker-specific parameters.
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---
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# Worker configuration
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Workers authenticate to Boundary using an activation token. They require an
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accessible directory defined by `auth_storage_path` for credential storage and
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rotation. Transport level communication between the worker & Controller is secured through PKI.
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Example (not safe for production!):
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```hcl
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worker {
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auth_storage_path="/var/lib/boundary"
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initial_upstreams = ["10.0.0.1"]
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}
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```
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## Authorization methods
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There are three mechanisms that can be used to initially register a worker to the cluster, Controller-Led, Worker-Led, and registration through an external KMS.
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### Controller-led authorization flow
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In this flow, the operator fetches an activation token from the controller's
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`workers:create:controller-led` action (on the CLI, this is via `boundary
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workers create controller-led`). That activation token is given to the worker
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via the `controller_generated_activation_token` parameter. This can be done
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either directly or via an env var or file by using `env://` or `file://` syntax:
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```hcl
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worker {
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auth_storage_path="/var/lib/boundary"
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initial_upstreams = ["10.0.0.1"]
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controller_generated_activation_token = "neslat_........."
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# controller_generated_activation_token = "env://ACT_TOKEN"
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# controller_generated_activation_token = "file:///tmp/worker_act_token"
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}
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```
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Once the worker starts, it reads this token and uses it to authorize to the
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cluster. Note that this token is one-time-use; it is safe to keep it here even
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after the worker has successfully authorized and authenticated, as it will be
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unusable at that point.
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Note: If this value is not present at worker startup time and the worker is not
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authorized, it will print and write out suitable information for the worker-led
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flow, described below. If the worker-led flow has not been used to
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authorize the worker, and the controller-generated activation token is provided
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and the worker restarted, it will make use of it.
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### Worker-led authorization flow
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In this flow, the worker prints out an authorization request token to two
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places: the startup information printed to stdout, and a file called
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`auth_request_token` in the base of the configured `auth_storage_path`. This
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token can be submitted to a controller at the `workers:create:worker-led` path;
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on the CLI this would be via `boundary workers create worker-led
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-worker-generated-auth-token`. No values are needed in the configuration file.
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### KMS-led authorization & authentication flow
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In this flow, the worker authenticates upstream, either to a controller or worker, using a shared KMS provided by the customer. This mechanism auto-registers the worker in addition to authenticating it, and does not require on-disk storage for credentials since each time it connects, it re-authenticates using the trusted KMS.
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Optionally with the Multi-Hop workers feature, trusted Workers can authenticate downstream nodes using a separate KMS.
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Workers using KMS-led authorization require a `name` field. This specifies a unique name of this worker
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within the Boundary cluster and _must be unique across workers_. The `name`
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value can be:
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- a direct name string (must be all lowercase)
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- a reference to a file on disk (`file://`) from which the name is read
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- an env var (`env://`) from which the name is read.
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Workers using KMS-led authorization accept an optional `description` field. The `description` value can
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be:
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- a direct description string
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- a reference to a file on disk (`file://`) from which the name is read
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- an env var (`env://`) from which the name is read.
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```hcl
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worker {
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name = "example-worker"
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description = "An example worker"
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public_addr = "5.1.23.198"
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}
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```
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Workers using the KMS authorization flow also require a KMS block designated for `worker-auth`. This is the KMS configuration for authentication between the workers and controllers and must be present. Example (not safe for production!):
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```hcl
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kms "aead" {
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purpose = "worker-auth"
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aead_type = "aes-gcm"
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key = "X+IJMVT6OnsrIR6G/9OTcJSX+lM9FSPN"
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key_id = "global_worker-auth"
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}
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```
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The upstream controller or worker must have a `kms` block that references the
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same key and purpose. If both a controller and worker are running as the same
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server process, only one stanza is needed.
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For Multi-Hop workers, It is also possible to specify a `kms` block with the `downstream-worker-auth` purpose. If specified, this will be a separate KMS that can be used for authenticating new downstream nodes. Blocks with this purpose can be specified multiple times. This allows a single upstream node to authenticate with one key to its own upstream (via the `worker-auth` purpose) and then serve as an authenticating upstream to nodes
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across various networks, each with their own separate KMS system or key:
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```hcl
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kms "aead" {
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purpose = "downstream-worker-auth"
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aead_type = "aes-gcm"
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key = "XthZVtFtBD1Bw1XwAWhZKVrIwRhR7HcZ"
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key_id = "iot-nodes-auth"
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}
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kms "aead" {
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purpose = "downstream-worker-auth"
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aead_type = "aes-gcm"
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key = "OLFhJNbEb3umRjdhY15QKNEmNXokY1Iq"
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key_id = "production-nodes-auth"
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}
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```
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In the examples above we are encoding key bytes directly in the configuration
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file. This is because we are using the `aead` method where you directly supply a
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key; in production you'd want to use a KMS such as AWS KMS, GCP CKMS, Azure
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KeyVault, or HashiCorp Vault. For a complete guide to all available KMS types,
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see our [KMS documentation](/boundary/docs/configuration/kms).
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## Complete configuration example
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```hcl
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listener "tcp" {
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purpose = "proxy"
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tls_disable = true
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address = "127.0.0.1"
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}
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worker {
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# Name attr must be unique across workers
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name = "demo-worker-1"
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description = "A default worker created for demonstration"
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# Workers must be able to reach upstreams on :9201
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initial_upstreams = [
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"10.0.0.1",
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"10.0.0.2",
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"10.0.0.3",
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]
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public_addr = "myhost.mycompany.com"
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tags {
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type = ["prod", "webservers"]
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region = ["us-east-1"]
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}
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}
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# must be same key as used on controller config
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kms "aead" {
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purpose = "worker-auth"
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aead_type = "aes-gcm"
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key = "X+IJMVT6OnsrIR6G/9OTcJSX+lM9FSPN"
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key_id = "global_worker-auth"
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}
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```
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[`initial_upstreams`](/boundary/docs/configuration/worker/overview#initial_upstreams)
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are used to connect to upstream Boundary clusters.
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## Resources
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For more on how `tags{}` in the above configuration are used to facilitate
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routing to the correct target, refer to the [Worker
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Tags](/boundary/docs/concepts/filtering/worker-tags) page.
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## KMS configuration
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When using Controller or Worker-led Authentication, a worker’s generated activation token is stored in clear-text on disk. Using an external KMS, a Workers' credentials can be encrypted by including an optional KMS stanza with the purpose `worker-auth-storage`.
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Example (not safe for production!):
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```hcl
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kms "aead" {
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purpose = "worker-auth-storage"
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aead_type = "aes-gcm"
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key = "X+IJMVT6OnsrIR6G/9OTcJSX+lM9FSPN"
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key_id = "worker-auth-storage"
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}
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```
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## Session recording
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<EnterpriseAlert product="boundary">This feature requires <a href="https://www.hashicorp.com/products/boundary">HCP Boundary or Boundary Enterprise</a></EnterpriseAlert>
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[Session recording](/boundary/docs/configuration/session-recording) requires at least one Worker with access to local and remote storage.
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Workers used for session recording require an accessible directory defined by `recording_storage_path` for storing in-progress session recordings. On session closure, a local session recording is moved to remote storage and deleted locally.
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Development example:
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```hcl
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worker {
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auth_storage_path="/var/lib/boundary"
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initial_upstreams = ["10.0.0.1"]
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recording_storage_path="/local/storage/directory"
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}
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```
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~> **Note:** `name` and `description` fields are not valid config fields for
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Workers using activation tokens(Worker-led & Controller-led authorization), and can only be set through the API. These config fields are only valid for [Workers using the KMS authorization method](/boundary/docs/configuration/worker/worker).
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