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machine_management/index.adoc

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toc::[]
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You can use machine management to flexibly work with underlying infrastructure like Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP), OpenStack, Red Hat Virtualization (RHV), and vSphere to manage the {product-title} cluster.
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You can control the cluster, and also perform auto-scaling, that is, scaling up and down the cluster based on specific workload policies.
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You can control the cluster and perform auto-scaling, such as scaling up and down the cluster based on specific workload policies.
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The {product-title} cluster can horizontally scale up and down, when the load increases or decreases.
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The {product-title} cluster can horizontally scale up and down when the load increases or decreases.
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It is important to have a cluster that adapts to changing workloads.
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Machine management is implemented as a xref:../operators/understanding/crds/crd-extending-api-with-crds.adoc#crd-extending-api-with-crds[Custom Resource Definition](CRD).
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A CRD object defines a new unique object `Kind` in the cluster and enables the Kubernetes API server to handle it's entire lifecycle.
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A CRD object defines a new unique object `Kind` in the cluster and enables the Kubernetes API server to handle the object's entire lifecycle.
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The Machine API Operator provisions the following resources:
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[discrete]
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== Autoscaler
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The autoscaler ensures that your cluster is flexible to changing workloads.
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Autoscale your cluster to ensure flexibility to changing workloads.
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To xref:../machine_management/applying-autoscaling.adoc#applying-autoscaling[autoscale] your {product-title} cluster, you must first deploy a cluster autoscaler, and then deploy a machine autoscaler for each machine set.
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The cluster autoscaler increases and decreases the size of the cluster based on deployment needs.
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The machine autoscaler adjusts the number of machines in the machine sets that you deploy in your {product-title} cluster.
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[discrete]
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== User-provisioned infrastructure
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User-provisioned infrastructure is an environment, where the user deploys infrastructure that is compute, network, and storage resources, that hosts the {product-title}.
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User-provisioned infrastructure is an environment where you can deploy infrastructure such as compute, network, and storage resources that host the {product-title}.
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You can xref:../machine_management//user_infra/adding-compute-user-infra-general.adoc#adding-compute-user-infra-general[add compute machines] to a cluster on user-provisioned infrastructure either as part of or after the installation process.
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[discrete]

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