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The CRP API enables great flexibility; you can set up different requirements/preferences in combination, such as finding all clusters with at least 5 nodes and 10 available CPU cores, or 4 of all the clusters with the cheapest memory cost and the most amount of available memory. [Read Fleet's API definition to learn more](https://github.com/Azure/fleet/blob/main/apis/placement/v1beta1/clusterresourceplacement_types.go).
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The CRP API enables great flexibility; you can set up different requirements/preferences in combination, such as finding all clusters with at least 5 nodes and 10 available CPU cores, or 4 of all the clusters with the cheapest memory cost and the most amount of available memory. [Read Fleet's API definition to learn more](https://github.com/kubefleet-dev/kubefleet/blob/main/apis/placement/v1beta1/clusterresourceplacement_types.go).
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## Clean things up
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@@ -421,9 +421,9 @@ All the AKS clusters in the resource group will be removed.
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## What's next
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Congrats! We hope that property-based scheduling (preview) has improved your overall Fleet experience. If you have any questions, feedback, or concerns, please raise [a GitHub issue](https://github.com/Azure/fleet/issues).
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Congrats! We hope that property-based scheduling (preview) has improved your overall Fleet experience. If you have any questions, feedback, or concerns, please raise [a GitHub issue](https://github.com/kubefleet-dev/kubefleet/issues).
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Aside from property-based scheduling, Fleet offers many other scheduling features that are useful in a
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multi-cluster environment; check out the [How-to Guide: Using the Fleet `ClusterResourcePlacement` API](https://github.com/Azure/fleet/tree/main/docs/howtos/crp.md) for more information.
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multi-cluster environment; check out the [How-to Guide: Using the Fleet `ClusterResourcePlacement` API](https://kubefleet.dev/docs/how-tos/crp/) for more information.
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You can also review Fleet's [source code](https://github.com/Azure/fleet) or review its [documentation](https://github.com/Azure/fleet/tree/main/docs) on GitHub.
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You can also review Fleet's [source code](https://github.com/kubefleet-dev/kubefleet) or review its [documentation](https://kubefleet.dev/docs/) on GitHub.
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