update Stanza
Placement | job -> update job -> group -> update |
The update
stanza specifies the group's update strategy. The update strategy
is used to control things like rolling upgrades and canary
deployments. If omitted, rolling updates and canaries are disabled. If
specified at the job level, the configuration will apply to all groups within
the job. If multiple update
stanzas are specified, they are merged with the
group stanza taking the highest precedence and then the job.
For system
jobs, only max_parallel
and
stagger
are enforced. The job is updated at a rate of
max_parallel
, waiting stagger
duration before the next set of updates.
The system
scheduler will be updated to support the new update
stanza in
a future release.
update
Parameters
max_parallel
(int: 1)
- Specifies the number of allocations within a task group that can be updated at the same time. The task groups themselves are updated in parallel.max_parallel = 0
- Specifies that the allocation should use forced updates instead of deployments
health_check
(string: "checks")
- Specifies the mechanism in which allocations health is determined. The potential values are:"checks" - Specifies that the allocation should be considered healthy when all of its tasks are running and their associated checks are healthy, and unhealthy if any of the tasks fail or not all checks become healthy. This is a superset of "task_states" mode.
"task_states" - Specifies that the allocation should be considered healthy when all its tasks are running and unhealthy if tasks fail.
"manual" - Specifies that Nomad should not automatically determine health and that the operator will specify allocation health using the HTTP API.
min_healthy_time
(string: "10s")
- Specifies the minimum time the allocation must be in the healthy state before it is marked as healthy and unblocks further allocations from being updated. This is specified using a label suffix like "30s" or "15m".healthy_deadline
(string: "5m")
- Specifies the deadline in which the allocation must be marked as healthy after which the allocation is automatically transitioned to unhealthy. This is specified using a label suffix like "2m" or "1h". Ifprogress_deadline
is non-zero, it must be greater thanhealthy_deadline
. Otherwise theprogress_deadline
may fail a deployment before an allocation reaches itshealthy_deadline
.progress_deadline
(string: "10m")
- Specifies the deadline in which an allocation must be marked as healthy. The deadline begins when the first allocation for the deployment is created and is reset whenever an allocation as part of the deployment transitions to a healthy state or when a deployment is manually promoted. If no allocation transitions to the healthy state before the progress deadline, the deployment is marked as failed. If theprogress_deadline
is set to0
, the first allocation to be marked as unhealthy causes the deployment to fail. This is specified using a label suffix like "2m" or "1h".auto_revert
(bool: false)
- Specifies if the job should auto-revert to the last stable job on deployment failure. A job is marked as stable if all the allocations as part of its deployment were marked healthy.auto_promote
(bool: false)
- Specifies if the job should auto-promote to the canary version when all canaries become healthy during a deployment. Defaults to false which means canaries must be manually updated with thenomad deployment promote
command. If a job has multiple task groups, all must be set toauto_promote = true
in order for the deployment to be promoted automatically.canary
(int: 0)
- Specifies that changes to the job that would result in destructive updates should create the specified number of canaries without stopping any previous allocations. Once the operator determines the canaries are healthy, they can be promoted which unblocks a rolling update of the remaining allocations at a rate ofmax_parallel
.stagger
(string: "30s")
- Specifies the delay between each set ofmax_parallel
updates when updating system jobs. This setting no longer applies to service jobs which use deployments.
update
Examples
The following examples only show the update
stanzas. Remember that the
update
stanza is only valid in the placements listed above.
Parallel Upgrades Based on Checks
This example performs 3 upgrades at a time and requires the allocations be healthy for a minimum of 30 seconds before continuing the rolling upgrade. Each allocation is given at most 2 minutes to determine its health before it is automatically marked unhealthy and the deployment is failed.
Parallel Upgrades Based on Task State
This example is the same as the last but only requires the tasks to be healthy and does not require registered service checks to be healthy.
Canary Upgrades
This example creates a canary allocation when the job is updated. The canary is created without stopping any previous allocations from the job and allows operators to determine if the new version of the job should be rolled out.
Once the operator has determined the new job should be deployed, the deployment can be promoted and a rolling update will occur performing 3 updates at a time until the remainder of the groups allocations have been rolled to the new version.
Blue/Green Upgrades
By setting the canary count equal to that of the task group, blue/green deployments can be achieved. When a new version of the job is submitted, instead of doing a rolling upgrade of the existing allocations, the new version of the group is deployed along side the existing set. While this duplicates the resources required during the upgrade process, it allows very safe deployments as the original version of the group is untouched.
Once the operator is satisfied that the new version of the group is stable, the group can be promoted which will result in all allocations for the old versions of the group to be shutdown. This completes the upgrade from blue to green, or old to new version.
Serial Upgrades
This example uses a serial upgrade strategy, meaning exactly one task group will
be updated at a time. The allocation must be healthy for the default
min_healthy_time
of 10 seconds.
Update Stanza Inheritance
This example shows how inheritance can simplify the job when there are multiple task groups.
By placing the shared parameters in the job's update stanza, each groups update stanza may be kept to a minimum. The merged update stanzas for each group becomes: