Nomad
Nomad APM Plugin
The Nomad APM plugin allows querying the Nomad API for metric data. This provides an immediate starting point without addition applications but comes at the price of efficiency. When using this APM, it is advised to monitor Nomad carefully ensuring it is not put under excessive load pressure.
The Nomad APM plugin should only be used when scaling based on CPU and memory usage. For more advanced scenarios, such as scaling a cluster to zero clients, you should use a different APM plugin.
Agent Configuration Options
apm "nomad-apm" {
driver = "nomad-apm"
}
When using a Nomad cluster with ACLs enabled, following ACL policy will provide the appropriate permissions for obtaining task group metrics:
namespace "default" {
policy = "read"
capabilities = ["read-job"]
}
In order to obtain cluster level metrics, the following ACL policy will be required:
node {
policy = "read"
}
namespace "default" {
policy = "read"
capabilities = ["read-job"]
}
Policy Configuration Options - Task Groups
The Nomad APM allows querying Nomad to understand the current resource usage of a task group.
check {
source = "nomad-apm"
query = "avg_cpu"
# ...
}
Querying Nomad task group metrics is be done using the operation_metric
syntax,
where valid operations are:
avg
- returns the average of the metric value across allocations in the task group.min
- returns the lowest metric value among the allocations in the task group.max
- returns the highest metric value among the allocations in the task group.sum
- returns the sum of all the metric values for the allocations in the task group.
The metric value can be:
cpu
- CPU usage as reported by thenomad.client.allocs.cpu.total_percent
metric.memory
- Memory usage as reported by thenomad.client.allocs.memory.usage
metric.
Policy Configuration Options - Client Nodes
The Nomad APM allows querying Nomad to understand the current allocated resource as a percentage of the total available.
check {
source = "nomad-apm"
query = "percentage-allocated_cpu"
...
}
Querying Nomad client node metrics is be done using the operation_metric
syntax,
where valid operations are:
percentage-allocated
- returns the allocated percentage of the desired resource.
The metric value can be:
cpu
- allocated CPU as reported by calculating total allocatable against the total allocated by the scheduler.cpu-allocated
- the percentage of CPU used out of the total CPU allocated for the allocation.memory
- allocated memory as reported by calculating total allocatable against the total allocated by the scheduler.memory-allocated
- the percentage of memory used out of the total memory allocated for the allocation.