PLEASE NOTE: This document applies to v0.9 version and not to the latest stable release v1.7Documentation for other releases can be found by using the version selector in the top right of any doc page.
Ceph is a highly scalable distributed storage solution for block storage, object storage, and shared file systems with years of production deployments.
Rook enables Ceph storage systems to run on Kubernetes using Kubernetes primitives. The following image illustrates how Ceph Rook integrates with Kubernetes:
With Rook running in the Kubernetes cluster, Kubernetes applications can mount block devices and filesystems managed by Rook, or can use the S3/Swift API for object storage. The Rook operator automates configuration of storage components and monitors the cluster to ensure the storage remains available and healthy.
The Rook operator is a simple container that has all that is needed to bootstrap and monitor the storage cluster. The operator will start and monitor ceph monitor pods and a daemonset for the OSDs, which provides basic RADOS storage. The operator manages CRDs for pools, object stores (S3/Swift), and file systems by initializing the pods and other artifacts necessary to run the services.
The operator will monitor the storage daemons to ensure the cluster is healthy. Ceph mons will be started or failed over when necessary, and other adjustments are made as the cluster grows or shrinks. The operator will also watch for desired state changes requested by the api service and apply the changes.
The Rook operator also creates the Rook agents. These agents are pods deployed on every Kubernetes node. Each agent configures a Flexvolume plugin that integrates with Kubernetes’ volume controller framework. All storage operations required on the node are handled such as attaching network storage devices, mounting volumes, and formating the filesystem.
rook container includes all necessary Ceph daemons and tools to manage and store all data – there are no changes to the data path.
Rook does not attempt to maintain full fidelity with Ceph. Many of the Ceph concepts like placement groups and crush maps
are hidden so you don’t have to worry about them. Instead Rook creates a much simplified UX for admins that is in terms
of physical resources, pools, volumes, filesystems, and buckets. At the same time, advanced configuration can be applied when needed with the Ceph tools.
Rook is implemented in golang. Ceph is implemented in C++ where the data path is highly optimized. We believe this combination offers the best of both worlds.