Deployments - Additional Configuration
Note
While using ServiceFoundry python SDK
typeis not a required field in any of the imported classes
For deployments we can use the modules below to add necessary functionalities
Resources
Description
Describes the resource constraints for the application so that it can be deployed accordingly on the cluster
To learn more you can go here
Schema
{
"cpu_request": 0.2,
"cpu_limit": 0.5,
"memory_request": 200,
"memory_limit": 500,
"ephemeral_storage_request": 1000,
"ephemeral_storage_limit": 2000,
"instance_family": [
"string"
]
}
Properties
| Name | Type | Required | Description |
|---|---|---|---|
| cpu_request | number | true | Requested CPU which determines the minimum cost incurred. The CPU usage can exceed the requested amount, but not the value specified in the limit. 1 CPU means 1 CPU core. Fractional CPU can be requested like 0.5 or 0.05 |
| cpu_limit | number | true | CPU limit beyond which the usage cannot be exceeded. 1 CPU means 1 CPU core. Fractional CPU can be requested like 0.5. CPU limit should be >= cpu request. |
| memory_request | number | true | Requested memory which determines the minimum cost incurred. The unit of memory is in megabytes(MB). So 1 means 1 MB and 2000 means 2GB. |
| memory_limit | number | true | Memory limit after which the application will be killed with an OOM error. The unit of memory is in megabytes(MB). So 1 means 1 MB and 2000 means 2GB. MemoryLimit should be greater than memory request. |
| ephemeral_storage_request | number | true | Requested disk storage. The unit of memory is in megabytes(MB). This is ephemeral storage and will be wiped out on pod restarts or eviction |
| ephemeral_storage_limit | number | true | Disk storage limit. The unit of memory is in megabytes(MB). Exceeding this limit will result in eviction. It should be greater than the request. This is ephemeral storage and will be wiped out on pod restarts or eviction |
| instance_family | [string] | false | Instance family of the underlying machine to use. Multiple instance families can be supplied. The workload is guaranteed to be scheduled on one of them. |
Python Examples
from servicefoundry import Service, Resources
service = Service( # or Job or ModelDeployment
...
resources=Resources(
cpu_request=1,
memory_request=1000, # in Megabytes
ephemeral_storage_request=1000, # in Megabytes
cpu_limit=4,
memory_limit=4000,
ephemeral_storage_limit=10000,
instance_family=["c6i", "t3", "m4"],
)
)
FileMount
Description
Describes the configuration for FileMount
Schema
{
"mount_dir": "string",
"data": {
"property1": "string",
"property2": "string"
}
}
Properties
| Name | Type | Required | Description |
|---|---|---|---|
| mount_dir | string | true | Dir at which data is to be mounted |
| data | object | true | Data to be mounted, the key will be the filename, and the value will be the file content. Files will be mounted under mount_dir |
Autoscaling
Description
Describes the configuration for Autoscaling
Schema
{
"min_replicas": 1,
"max_replicas": 2,
"cpu_utilization_percentage": 0
}
Properties
| Name | Type | Required | Description |
|---|---|---|---|
| min_replicas | integer | true | Minimum number of replicas to keep available |
| max_replicas | integer | true | Maximum number of replicas allowed for the component. |
| cpu_utilization_percentage | integer | true | none |
Updated 3 months ago