A deployment is a set of config instances delivered to a device for consumption by your software. Deployments tie together config instances, releases, and devices to simplify configuration management and delivery. Deployments have a variety of constraints designed to simplify configuration updates:Documentation Index
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- A deployment’s config instances are immutable Once created, the configs in a deployment cannot be updated. A new deployment must be created to modify a device’s configs.
- Deployments belong to a single release Deployments belong to exactly one release, whose config schemas are used to validate the configurations in the deployment.
- Deployments belong to a single device Deploying the same configs to two devices requires a deployment for each device.
- Deployments are one-time use Once removed from a device, a new deployment must be created to restore a device’s previous configurations.
Properties
A user-provided description of the deployment.Example: “increase acceleration limit to 1.2 m/s^2”
The deployment’s last known activity state.Allowed values:
stageddriftedqueueddeployedremovingarchived
The status is a merged property of the
Enum:
activity status and error status fields, with error states taking precedence over activity states when errors are present.So, if the error status is none, then the status is simply the activity status. If the error status is not none, then the status is the error status.Below are examples of status values for different activities and error states.| Activity Status | Error Status | Status |
|---|---|---|
staged | none | staged |
deployed | none | deployed |
queued | retrying | retrying |
removing | none | removing |
archived | failed | failed |
staged, drifted, queued, deployed, removing, archived, failed, retryingThe deployment from which this deployment was patched.Examples:
DPL-L5B8bThe config instances in the deployment, each of which satisfies a different config schema in the deployment’s release.Examples:
CFG-68hdX, CFG-Cpa13Methods
Broadly speaking, there are two methods for creating and deploying configurations. Configurations can be:- Edited per device via the config editor
- Staged in a release’s staging area to be deployed at a later time
Status
The status is a merged property of theactivity status and error status fields, with error states taking precedence over activity states when errors are present.
So, if the error status is none, then the status is simply the activity status. If the error status is not none, then the status is the error status.
Below are examples of status values for different activities and error states.
| Activity Status | Error Status | Status |
|---|---|---|
staged | none | staged |
deployed | none | deployed |
queued | retrying | retrying |
removing | none | removing |
archived | failed | failed |
Target status
The target status is the desired state of a deployment. There are three possible target statuses.| Target Status | Description |
|---|---|
staged | Deployment doesn’t want to be deployed, but may be deployed in the future |
deployed | Deployment wants to be delivered to its device |
archived | Deployment no longer wants to be deployed; it can never be deployed again |
deployed, it can never be set to staged again. Similarly, once a deployment’s target status has been set to archived, it can never be set to deployed again.
This is intentional—deployments are one-time use. Once a deployment has been deployed, it cannot be redeployed. You must create a new deployment with identical content to roll back.
Activity status
The activity status is the last known state of a deployment. We use the last known state intentionally—poor network connectivity can prevent devices from immediately syncing their activity state with the cloud. In practice, this isn’t too common. However, it’s still a critical point to keep in mind. There are six possible activity states for a deployment.| Activity Status | Description |
|---|---|
staged | Deployment has been created and is ready to be deployed |
drifted | Deployment has drifted and needs to be reviewed |
queued | Deployment is waiting for the device to be so it can be delivered to the device |
deployed | Deployment has been delivered to the device, and its configurations are available for consumption |
removing | Deployment’s configurations are being removed from the device |
archived | Deployment is available for historical reference, but can never be deployed again |
drifted and must either be restaged or archived.
staged state have a simpler lifecycle. They simply go through the primary deployment lifecycle from queued to archived, passing through removing when being taken off the device.
Error status
The error status is the last known error state of a deployment. Again, we use the last known state intentionally—poor network connectivity can prevent devices from immediately syncing their error state to the cloud. The error status is independent of the activity and target statuses. The error status does not imply any particular activity or target state, and vice versa. The error status is only concerned with errors encountered during deployment. There are three possible error states for a deployment.| Error Status | Description |
|---|---|
none | There are no errors with the deployment |
retrying | A non-fatal error has been encountered; the agent is retrying to fulfill the deployment’s target status |
failed | A fatal error has been encountered; the deployment is (or will be) removed from the device and archived |
none error state. If no errors are encountered, the deployment remains in the none error state for the duration of its existence.
Non-Fatal Errors
If a non-fatal error is encountered, the deployment transitions to the retrying error state. Non-fatal errors include unexpected network drops, sudden power cycles, and similar events.
If the agent recovers the deployment from the error, the deployment transitions back to the none error state once the deployment’s target status is reached.
On the other hand, as long as the agent is unable to recover the deployment, the deployment remains in the retrying error state. The agent continually attempts to reach the deployment’s target status, using exponential backoff to prevent resource throttling.
If the deployment is stuck in the retrying error state, try replacing or archiving the deployment to allow the agent to start fresh.
Fatal Errors
If a fatal error is encountered, the deployment transitions to the failed error state, is removed from the device, and marked as archived.
