Feature Rollout with PromQL Feedback

Introduction

This policy rolls out new features based on the result of PromQL query as the rollout criteria. The result of PromQL query is compared with thresholds to determine conditions for advancing, reversing, or resetting the rollout to its initial state. The rollout process consists of a series of steps that progress if the feature is considered healthy.

info

This blueprint is the same as Feature Rollout blueprint, with relevant fields highlighted in the aperturectl generated values file.

Configuration

Blueprint name: policies/feature-rollout/promql

Parameters

Parameter	policy
Description	Parameters for the Feature Rollout policy.
Type	Object (policies/feature-rollout/base:schema:rollout_policy)
Default Value	Expand components: [] drivers: promql_drivers: - criteria: forward: operator: __REQUIRED_FIELD__ threshold: __REQUIRED_FIELD__ query_string: __REQUIRED_FIELD__ evaluation_interval: 10s load_ramp: sampler: label_key: '' selectors: - control_point: __REQUIRED_FIELD__ service: __REQUIRED_FIELD__ steps: - duration: __REQUIRED_FIELD__ target_accept_percentage: __REQUIRED_FIELD__ policy_name: __REQUIRED_FIELD__ resources: flow_control: classifiers: [] rollout: false

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Parameter	dashboard
Description	Configuration for the Grafana dashboard accompanying this policy.
Type	Object (policies/feature-rollout/base:param:dashboard)
Default Value	Expand datasource: filter_regex: '' name: $datasource extra_filters: {} refresh_interval: 5s time_from: now-15m time_to: now title: Aperture Feature Rollout

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Dynamic Configuration

note

The following configuration parameters can be dynamically configured at runtime, without reloading the policy.

Parameters

Parameter	pass_through_label_values
Description	Specify certain label values to be always accepted by the _Sampler_ regardless of accept percentage. This configuration can be updated at the runtime without shutting down the policy.
Type	Array of string
Default Value	Expand - __REQUIRED_FIELD__

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