33 lines
2.1 KiB
Markdown
33 lines
2.1 KiB
Markdown
---
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title: Storage Architecture
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---
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Ceph is a highly scalable distributed storage solution for **block storage**, **object storage**, and **shared filesystems** with years of production deployments.
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## Design
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Rook enables Ceph storage to run on Kubernetes using Kubernetes primitives.
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With Ceph running in the Kubernetes cluster, Kubernetes applications can
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mount block devices and filesystems managed by Rook, or can use the S3/Swift API for object storage. The Rook operator
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automates configuration of storage components and monitors the cluster to ensure the storage remains available
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and healthy.
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The Rook operator is a simple container that has all that is needed to bootstrap
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and monitor the storage cluster. The operator will start and monitor [Ceph monitor pods](../Storage-Configuration/Advanced/ceph-mon-health.md), the Ceph OSD daemons to provide RADOS storage, as well as start and manage other Ceph daemons. The operator manages CRDs for pools, object stores (S3/Swift), and filesystems by initializing the pods and other resources necessary to run the services.
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The operator will monitor the storage daemons to ensure the cluster is healthy. Ceph mons will be started or failed over when necessary, and
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other adjustments are made as the cluster grows or shrinks. The operator will also watch for desired state changes
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specified in the Ceph custom resources (CRs) and apply the changes.
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Rook automatically configures the Ceph-CSI driver to mount the storage to your pods.
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The `rook/ceph` image includes all necessary tools to manage the cluster. Rook is not in the Ceph data path.
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Many of the Ceph concepts like placement groups and crush maps
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are hidden so you don't have to worry about them. Instead Rook creates a simplified user experience for admins that is in terms
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of physical resources, pools, volumes, filesystems, and buckets. At the same time, advanced configuration can be applied when needed with the Ceph tools.
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Rook is implemented in golang. Ceph is implemented in C++ where the data path is highly optimized. We believe
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this combination offers the best of both worlds.
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