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Configuration Policies

What are configuration policies?

Configuration policies are the mechanism via which the organization may influence the construction of the data plane, taking into account infrastructure capabilities and costs. Fybrik takes into account the workload context, the data metadata, the data governance policies and the configuration policies when defining the data plane. The configuration policies influence what capabilities should be deployed (e.g. read, copy), in which clusters they should be deployed, and selection of the most appropriate module that implements the capability.

Input to policies

The input object includes general application data such as workload cluster and application properties, as well as dataset details (user requirements, metadata).

Available properties: - cluster.name: name of the workload cluster - cluster.metadata.region: region of the workload cluster - properties: application/workload properties defined in FybrikApplication, e.g. properties.intent - request.metadata: asset metadata as defined in catalog taxonomy, e.g request.metadata.geography - usage: a set of boolean properties associated with data use: usage.read, usage.write, usage.copy

Syntax

Policies are written in rego files. Each file declares a package adminconfig.

Rules are written in the following syntax: config[{"capability": capability, "decision": decision}] where

capability represents a required module capability, such as "read", "write", "transform" and "copy".

decision is a JSON structure that matches Decision defined above.

{ 
    "policy": {"ID": <id>, "policySetID": <setId>, "description": <description>, "version": <version>}, 
    "deploy": <"True", "False">,
    "restrictions": {
        "modules": <list of restrictions>,
        "clusters": <list of restrictions>,
        "storageaccounts": <list of restrictions>,
    },
}
restriction restricts a property to either a set of values or a value in a given range.

For example, the policy above restricts the choice of clusters and modules for a read capability by narrowing the choice of deployment clusters to the workload cluster, and restricting the module type to service.

config[{"capability": "read", "decision": decision}] {
    input.request.usage == "read"
    policy := {"ID": "read-location", "description":"Deploy read in the workload cluster", "version": "0.1"}
    cluster_restrict := {"property": "name", "values": [ input.workload.cluster.name ] }
    module_restrict := {"property": "type", "values": ["service"]}
    decision := {"policy": policy, "restrictions": {"clusters": [cluster_restrict], "modules": [module_restrict]}}
}

policy provides policy metadata: unique ID, human-readable description, version and policySetID (see ### Policy Set ID)

restrictions provides restrictions for modules, clusters and storageaccounts. Each restriction provides a list or a range of allowed values for a property of module/cluster/storageaccount object. For example, to restrict a module type to either "service" or "plugin", we'll use "type" as a property, and [ "service","plugin ] as a list of allowed values. Properties of a module can be found inside FybrikModule Spec. Properties of a storage account are listed inside FybrikStorageAccount. Cluster is not a custom resource. It has the following properties: - name: cluster name - metadata.region: cluster region - metadata.zone: cluster zone

deploy receives "True"/"False" values. These values indicate whether the capability should or should not be deployed. If not specified in the policy, it's up to Fybrik to decide on the capability deployment.

Policy Set ID

Fybrik supports evaluating different sets of policies for different FybrikApplications. It is possible to define a policy for a specific policySetID which will be trigered only if it matches the policySetID defined in FybrikApplication. If a policy does not specify a policy set id, it will be considered as relevant for all FybrikApplications. In a similar way, all policies are relevant for a FybrikApplication that does not specify a policy set id, to support a use-case of a single policy set for all.

Out of the box policies

Out of the box policies come with the fybrik deployment. They define the deployment of basic capabilities, such as read, write, copy and delete.

package adminconfig

# read capability deployment
config[{"capability": "read", "decision": decision}] {
    input.request.usage == "read"
    policy := {"ID": "read-default-enabled", "description":"Read capability is requested for read workloads", "version": "0.1"}
    decision := {"policy": policy, "deploy": "True"}
}

# write capability deployment
config[{"capability": "write", "decision": decision}] {
    input.request.usage == "write"
    policy := {"ID": "write-default-enabled", "description":"Write capability is requested for workloads that write data", "version": "0.1"}
    decision := {"policy": policy, "deploy": "True"}
}

# copy requested by the user
config[{"capability": "copy", "decision": decision}] {
    input.request.usage == "copy"
    policy := {"ID": "copy-request", "description":"Copy (ingest) capability is requested by the user", "version": "0.1"}
    decision := {"policy": policy, "deploy": "True"}
}

# delete capability deployment
config[{"capability": "delete", "decision": decision}] {
    input.request.usage == "delete"
    policy := {"ID": "delete-request", "description":"Delete capability is requested by the user", "version": "0.1"}
    decision := {"policy": policy, "deploy": "True"}
}

# do not deploy copy in scenarios different from read or copy
config[{"capability": "copy", "decision": decision}] {
    input.request.usage != "read"
    input.request.usage != "copy"
    policy := {"ID": "copy-disabled", "description":"Copy capability is not requested", "version": "0.1"}
    decision := {"policy": policy, "deploy": "False"}
}

# do not deploy read in other scenarios
config[{"capability": "read", "decision": decision}] {
    input.request.usage != "read"
    policy := {"ID": "read-disabled", "description":"Read capability is not requested", "version": "0.1"}
    decision := {"policy": policy, "deploy": "False"}
}

# do not deploy write in other scenarios
config[{"capability": "write", "decision": decision}] {
    input.request.usage != "write"
    policy := {"ID": "write-disabled", "description":"Write capability is not requested", "version": "0.1"}
    decision := {"policy": policy, "deploy": "False"}
}

# do not deploy delete in other scenarios
config[{"capability": "delete", "decision": decision}] {
    input.request.usage != "delete"
    policy := {"ID": "delete-disabled", "description":"Delete capability is not requested", "version": "0.1"}
    decision := {"policy": policy, "deploy": "False"}
}

Extended policies

The extended policies define advanced deployment requirements, such as where read or transform modules should run, what should be the scope of module deployments, and more.

The policies below are provided as a sample and can be updated for the production deployment.

package adminconfig

# configure where transformations take place
config[{"capability": "transform", "decision": decision}] {
    policy := {"ID": "transform-geo", "description":"Governance based transformations must take place in the geography where the data is stored", "version": "0.1"}
    cluster_restrict := {"property": "metadata.region", "values": [input.request.dataset.geography]}
    decision := {"policy": policy, "restrictions": {"clusters": [cluster_restrict]}}
}

# configure the scope of the read capability
config[{"capability": "read", "decision": decision}] {
    input.request.usage == "read"
    policy := {"ID": "read-scope", "description":"Deploy read at the workload scope", "version": "0.1"}
    decision := {"policy": policy, "restrictions": {"modules": [{"property": "capabilities.scope", "values" : ["workload"]}]}}
}

# configure where the read capability will be deployed
config[{"capability": "read", "decision": decision}] {
    input.request.usage == "read"
    policy := {"ID": "read-location", "description":"Deploy read in the workload cluster", "version": "0.1"}
    cluster_restrict := {"property": "name", "values": [ input.workload.cluster.name ] }
    decision := {"policy": policy, "restrictions": {"clusters": [cluster_restrict]}}
}

# allow implicit copies by default
config[{"capability": "copy", "decision": decision}] {
    input.request.usage == "read"
    policy := {"ID": "copy-default", "description":"Implicit copies are allowed in read scenarios", "version": "0.1"}
    decision := {"policy": policy}
}

How to provide custom policies

In order to deploy Fybrik with customized policies, perform the following steps

  1. Clone the github repository of Fybrik for the required release: git clone -b releases/<version> https://github.com/fybrik/fybrik.git
  2. Copy the rego files containing customized policies to fybrik/charts/fybrik/files/adminconfig/ folder
  3. Install Fybrik:
    cd fybrik
    helm install fybrik-crd charts/fybrik-crd -n fybrik-system --wait
    helm install fybrik charts/fybrik --set global.tag=master --set global.imagePullPolicy=Always -n fybrik-system --wait
    

How to add start and/or expiry dates to policies

By utilizing the time built-in functions of OPA, an effective date and/or expiry date of a policy can be defined. The related built-in functions are:

output := time.now_ns() //the current date
output := time.parse_rfc3339_ns(value) //the specified date in RFC3339 format
parse_rfc3339_ns enables to add the expiry date as well as the the date for the policy to become effective, and now_ns captures the date when policies are applied. Through comparisons, it can be acquired whether the current policy is still valid. Below is an example.

package adminconfig

# vaild from 2022.1.1, expire on 2022.6.1
config[{"capability": "copy", "decision": decision}] {
    policy := {"policySetID": "1", "ID": "test-1"}
    nowDate := time.now_ns()
    startDate := time.parse_rfc3339_ns("2022-01-01T00:00:00Z")
    expiration := time.parse_rfc3339_ns("2022-06-01T00:00:00Z")
    nowDate >= startDate
    nowDate < expiration
    decision := {"policy": policy, "deploy": "False"}
}
Note that an empty ConfigDecisions map will be returned if the expiration date is exceeded by the time when the policy is applied.

Taking infrastructure metrics into consideration

When writing configuration policies, infrastructure metrics and costs may also be taken into account in order to optimize the generated data plane. For example, selection of a storage account may be based on a storage cost, selection of a cluster may provide a restriction on cluster capacity, and so on. Infrastructure attributes and metrics are stored in the /tmp/adminconfig/infrastructure.json directory of the manager pod. Collection of the metrics and their dynamic update is beyond the scope of Fybrik. One may develop or use 3rd party solutions for monitoring and updating these infrastructure metrics.

How to define infrastructure attributes

An infrastructure attribute is defined by a JSON object that includes the following fields:

  • attribute - name of the infrastructure attribute, should be defined in the taxonomy
  • description
  • type - value type(can be numeric, string or boolean)
  • value - the actual value of the metric
  • units - measurement units, defined in the taxonomy
  • object - a resource the attribute relates to (storageaccount, module, cluster)
  • instance - a reference to the resource instance, e.g. storage account name
  • scale - a scale of values (minimum and maximum) when applicable

The infrastructure attributes are associated with resources managed by Fybrik: FybrikStorageAccount, FybrikModule and cluster (defined in the cluster-metadata config map). The valid values for the attribute object field are storageaccount, module and cluster, respectively.

For example, the following attribute defines the storage cost of the "account-theshire" storage account.

{
    "attribute": "storage-cost",
    "description": "theshire object store",
    "value": "90",
    "type": "numeric",
    "units": "US Dollar per TB per month",
    "object": "storageaccount",
    "instance": "account-theshire"
}

Add a new attribute definition to the taxonomy

See https://github.com/fybrik/fybrik/blob/master/samples/taxonomy/example/infrastructure/attributepair.yaml for an example how to define an attribute and the corresponding measurement units.

Usage of infrastructure attributes in policies

An infrastructure attribute can be used as the property value in configuration policies. For example, the following policy restricts the storage account selection using the storage-cost infrastructure attribute:

# restrict storage costs to a maximum of $95 when copying the data
config[{"capability": "copy", "decision": decision}] {
    input.request.usage == "copy"
    input.request.dataset.geography != input.workload.cluster.metadata.region
    account_restrict := {"property": "storage-cost", "range": {"max": 95}}
    policy := {"ID": "copy-restrict-storage", "description":"Use cheaper storage", "version": "0.1"}
    decision := {"policy": policy, "restrictions": {"storageaccounts": [account_restrict]}}
}