How To Deploy A Scalable Cloud Storage Using Rook And Ceph Storage [Part 1]

It goes without saying that if you want to orchestrate containers at this point, Kubernetes is what you use to do it. Sure, there may be a few Docker Swarm holdouts still around, but for the most part, K8s has cemented itself as the industry standard for container orchestration solutions. As Kubernetes matures, the tools that embody its landscape begin to mature along with it. One of the areas we have seen some optimization, in particular, is in cloud-native storage solutions.

What is Rook?

Rook is an open-source cloud-native storage orchestrator, providing the platform, framework, and support for a diverse set of storage solutions to natively integrate with cloud-native environments.

It turns storage software into self-managing, self-scaling, and self-healing storage services. It does this by automating deployment, bootstrapping, configuration, provisioning, scaling, upgrading, migration, disaster recovery, monitoring, and resource management. Rook uses the facilities provided by the underlying cloud-native container management, scheduling, and orchestration platform to perform its duties. It supports a variety of different block, object, and file type storage.

Rook integrates deeply into cloud-native environments leveraging extension points and providing a seamless experience for scheduling, lifecycle management, resource management, security, monitoring, and user experience.

What is Ceph?

Ceph is a distributed storage system that is massively scalable and high-performing with no single point of failure. Ceph is a Software Distributed System (SDS), meaning it can be run on any hardware that matches its requirements.

Ceph consists of multiple components:

• Ceph Monitors (MON) are responsible for forming cluster quorums. All the cluster nodes report to monitor nodes and share information about every change in their state.
• Ceph Object Store Devices (OSD) are responsible for storing objects on local file systems and providing access to them over the network. Usually, one OSD daemon is tied to one physical disk in your cluster. Ceph clients interact with OSDs directly.
• Ceph Manager (MGR) provides additional monitoring and interfaces to external monitoring and management systems.
• Reliable Autonomic Distributed Object Stores (RADOS) are at the core of Ceph storage clusters. This layer makes sure that stored data always remains consistent and performs data replication, failure detection, and recovery among others.

To read/write data from/to a Ceph cluster, a client will first contact Ceph MONs to obtain the most recent copy of their cluster map. The cluster map contains the cluster topology as well as the data storage locations. Ceph clients use the cluster map to figure out which OSD to interact with and initiate a connection with the associated OSD.

Rook enables Ceph storage systems to run on Kubernetes using Kubernetes primitives. The following image illustrates how Ceph Rook integrates with Kubernetes:

With Ceph 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, 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 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/ceph

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.

Getting Started

This guide will walk you through the basic setup of a Ceph cluster and enable you to consume block, object, and file storage from other pods running in your cluster.

Minimum Version

Kubernetes v1.10 or higher is supported by Rook.

Prerequisites

To make sure you have a Kubernetes cluster that is ready for 

Rook

If you are using 

dataDirHostPath

TL;DR

If you’re feeling lucky, a simple Rook cluster can be created with the following kubectl commands and example yaml files. For the more detailed install, skip to the next section to deploy the Rook operator.

git clone --single-branch --branch release-1.2 https://github.com/rook/rook.git
cd cluster/examples/kubernetes/ceph
kubectl create -f common.yaml
kubectl create -f operator.yaml
kubectl create -f cluster-test.yaml

After the cluster is running, you can create block, object, or file storage to be consumed by other applications in your cluster.

Production Environments

For production environments, it is required to have local storage devices attached to your nodes. In this walkthrough, the requirement of local storage devices is relaxed so you can get a cluster up and running as a “test” environment to experiment with Rook. A Ceph filestore OSD will be created in a 

directory

For production environments, you will want to follow the example in

cluster.yaml

cluster-test.yaml

Deploy the Rook Operator

The first step is to deploy the Rook operator. Check that you are using the example yaml files that correspond to your release of Rook. For more options, see the examples documentation.

cd cluster/examples/kubernetes/ceph
kubectl create -f common.yaml
kubectl create -f operator.yaml

## verify the rook-ceph-operator is in the `Running` state before proceeding
kubectl -n rook-ceph get pod

You can also deploy the operator with the Rook Helm Chart.

Create a Rook Ceph Cluster

Now that the Rook operator is running we can create the Ceph cluster. For the cluster to survive reboots, make sure you set the  

dataDirHostPath 

Save the cluster spec as 

cluster-test.yaml

apiVersion: ceph.rook.io/v1
kind: CephCluster
metadata:
  name: rook-ceph
  namespace: rook-ceph
spec:
  cephVersion:
    # For the latest ceph images, see https://hub.docker.com/r/ceph/ceph/tags
    image: ceph/ceph:v14.2.5
  dataDirHostPath: /var/lib/rook
  mon:
    count: 3
  dashboard:
    enabled: true
  storage:
    useAllNodes: true
    useAllDevices: false
    # Important: Directories should only be used in pre-production environments
    directories:
    - path: /var/lib/rook

Create the cluster:

kubectl create -f cluster-test.yaml

Use 

kubectl

rook-ceph

cluster-test.yaml

The 

rook-ceph-agent

rook-discover

$ kubectl -n rook-ceph get pod
NAME                                   READY   STATUS      RESTARTS   AGE
rook-ceph-agent-4zkg8                  1/1     Running     0          140s
rook-ceph-mgr-a-d9dcf5748-5s9ft        1/1     Running     0          77s
rook-ceph-mon-a-7d8f675889-nw5pl       1/1     Running     0          105s
rook-ceph-mon-b-856fdd5cb9-5h2qk       1/1     Running     0          94s
rook-ceph-mon-c-57545897fc-j576h       1/1     Running     0          85s
rook-ceph-operator-6c49994c4f-9csfz    1/1     Running     0          141s
rook-ceph-osd-0-7cbbbf749f-j8fsd       1/1     Running     0          23s
rook-ceph-osd-1-7f67f9646d-44p7v       1/1     Running     0          24s
rook-ceph-osd-2-6cd4b776ff-v4d68       1/1     Running     0          25s
rook-ceph-osd-prepare-node1-vx2rz      0/2     Completed   0          60s
rook-ceph-osd-prepare-node2-ab3fd      0/2     Completed   0          60s
rook-ceph-osd-prepare-node3-w4xyz      0/2     Completed   0          60s
rook-discover-dhkb8                    1/1     Running     0          140s

To verify that the cluster is in a healthy state, connect to the Rook toolbox and run the 

ceph status

• All mons should be in quorum
• A 

  mgr

   should be active
• At least one OSD should be active
• If the health is not 

  HEALTH_OK

  , the warnings or errors should be investigated

$ ceph status
  cluster:
    id:     a0452c76-30d9-4c1a-a948-5d8405f19a7c
    health: HEALTH_OK

  services:
    mon: 3 daemons, quorum a,b,c (age 3m)
    mgr: a(active, since 2m)
    osd: 3 osds: 3 up (since 1m), 3 in (since 1m)
...

Create a Block Storage

Block storage allows a single pod to mount storage. This guide shows how to create a simple, multi-tier web application on Kubernetes using persistent volumes enabled by Rook.

Prerequisites

This guide assumes a Rook cluster as explained in the Quickstart.

Provision Storage

Before Rook can provision storage, a 

StorageClass

CephBlockPool

Save this 

StorageClass

storageclass.yaml

apiVersion: ceph.rook.io/v1
kind: CephBlockPool
metadata:
  name: replicapool
  namespace: rook-ceph
spec:
  failureDomain: host
  replicated:
    size: 3
---
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
   name: rook-ceph-block
# Change "rook-ceph" provisioner prefix to match the operator namespace if needed
provisioner: rook-ceph.rbd.csi.ceph.com
parameters:
    # clusterID is the namespace where the rook cluster is running
    clusterID: rook-ceph
    # Ceph pool into which the RBD image shall be created
    pool: replicapool

    # RBD image format. Defaults to "2".
    imageFormat: "2"

    # RBD image features. Available for imageFormat: "2". CSI RBD currently supports only `layering` feature.
    imageFeatures: layering

    # The secrets contain Ceph admin credentials.
    csi.storage.k8s.io/provisioner-secret-name: rook-csi-rbd-provisioner
    csi.storage.k8s.io/provisioner-secret-namespace: rook-ceph
    csi.storage.k8s.io/node-stage-secret-name: rook-csi-rbd-node
    csi.storage.k8s.io/node-stage-secret-namespace: rook-ceph

    # Specify the filesystem type of the volume. If not specified, csi-provisioner
    # will set default as `ext4`.
    csi.storage.k8s.io/fstype: xfs

# Delete the rbd volume when a PVC is deleted
reclaimPolicy: Delete

If you’ve deployed the Rook operator in a namespace other than “rook-ceph” as is common change the prefix in the provisioner to match the namespace you used. For example, if the Rook operator is running in “rook-op” the provisioner value should be “rook-op.rbd.csi.ceph.com”.

Create the storage class.

kubectl create -f cluster/examples/kubernetes/ceph/csi/rbd/storageclass.yaml

Consume the storage: Wordpress sample

We create a sample app to consume the block storage provisioned by Rook with the classic Wordpress and Mysql apps. Both of these apps will make use of block volumes provisioned by Rook.

Start Mysql and Wordpress from the 

cluster/examples/kubernetes 

kubectl create -f mysql.yaml
kubectl create -f wordpress.yaml

Both of these apps create a block volume and mount it to their respective pod. You can see the Kubernetes volume claims by running the following:

$ kubectl get pvc
NAME             STATUS    VOLUME                                     CAPACITY   ACCESSMODES   AGE
mysql-pv-claim   Bound     pvc-95402dbc-efc0-11e6-bc9a-0cc47a3459ee   20Gi       RWO           1m
wp-pv-claim      Bound     pvc-39e43169-efc1-11e6-bc9a-0cc47a3459ee   20Gi       RWO           1m

Once the Wordpress and Mysql pods are in the 

Running

$ kubectl get svc wordpress
NAME        CLUSTER-IP   EXTERNAL-IP   PORT(S)        AGE
wordpress   10.3.0.155   <pending>     80:30841/TCP   2m

You should see the Wordpress app running.

If you are using Minikube, the Wordpress URL can be retrieved with this one-line command:

echo http://$(minikube ip):$(kubectl get service wordpress -o jsonpath='{.spec.ports[0].nodePort}')

NOTE: When running in a vagrant environment, there will be no external IP address to reach Wordpress with. You will only be able to reach Wordpress via the 

CLUSTER-IP

Moving On

Now that you've had a chance to play around a bit with using Rook with Ceph, let's move on to the next part and learn how to set up Minio object storage with Rook!

About the author - Sudip is a Solution Architect with more than 15 years of working experience, and is the founder of FlyBHP. He likes sharing his knowledge by regularly writing for Hackernoon, DZone, Appfleet and many more. And while he is not doing that, he must be fishing or playing chess.

Previously posted at https://appfleet.com/.