Backup and Restore OVHcloud Managed Kubernetes Cluster, Namespace and Applications using TrilioVault for Kubernetes

Backup and Restore Cluster, Namespace and Applications using TVK

Last updated August 11th, 2022.

Introduction

In this tutorial, you will learn how to deploy TrilioVault for Kubernetes (or TVK) to your OVHcloud Managed Kubernetes Cluster, create backups, and recover from a backup if something goes wrong.
You can back up your entire cluster by including mutliple namespaces, or optionally choose a single namespace, label based backups, Helm Releases based backups or Operator based backups.

Advantages of using Trilio:

  • Take full (or incremental) backups of your all namespaces, selective applications and restore in case of data loss.
  • Migrate from one cluster to another.
  • Helm release backups are supported.
  • Backup of Operator based application deployment is also supported.
  • Run pre and post hooks for backup and restore operations.
  • Web management console, that allows you to inspect your backup/restore operations state in detail (and many other features).
  • Define retention policies for your backups.
  • Application lifecycle (meaning, TVK itself) can be managed via a dedicated TrilioVault Operator.
  • Velero integration (Trilio supports monitoring Velero backups, restores, and backup/snapshot locations via its web management console).

How TrilioVault for Kubernetes works

TVK follows a cloud native architecture, meaning that it has several components that together form the Control Plane and Data Plane layers. Everything is managed via CRDs, thus making it fully Kubernetes native. What is nice about Trilio is the clear separation of concerns, and how effective it handles backup and restore operations.

Each TrilioVault application consists of a bunch of "Controllers" and the associated CRDs. Every time a CRD is created or updated, the responsible controller is notified and performs cluster reconciliation. Then, the controller in charge spawns Kubernetes jobs that perform the real operation (like backup, restore, etc) in parallel.

Control Plane consists of:

  • Target Controller: defines the storage backend (S3, NFS, etc) via specific CRDs.
  • BackupPlan Controller: defines the components to backup, automated backups schedule, retention strategy, etc via specific CRDs.
  • Restore Controller: defines restore operations via specific CRDs.

Data Plane consists of:

  • Datamover Pods, responsible with transferring data between persistent volumes and backup media (or Target). TrilioVault works with Persistent Volumes (PVs) using the CSI interface. For each PV that needs to be backed up, an ephemeral Datamover Pod is created. After each operation finishes, the associated pod is destroyed.
  • Metamover Pods, responsible with transferring Kubernetes API objects data to backup media (or Target). Metamover pods are ephemeral, just like the Datamover ones.

Understanding TrilioVault Application Scope

TrilioVault for Kubernetes works based on scope, meaning you can have a Namespaced or a Cluster type of installation.

A Namespaced installation allows you to backup and restore at the namespace level only. In other words, the backup is meant to protect a set of applications that are bound to a namespace that you own. This is how a "BackupPlan" and the corresponding Backup CRD works. You cannot mutate those CRDs in other namespaces, they must be created in the same namespace where the application to be backed up is located.

On the other hand, a Cluster type installation is not scoped or bound to any namespace or a set of applications. You define cluster type backups via the Cluster prefixed CRDs, like: ClusterBackupPlan, ClusterBackup, etc. Cluster type backups are a little bit more flexible, in the sense that you are not tied to a specific namespace or set of applications to backup and restore. You can perform backup/restore operations for multiple namespaces and applications at once, including PVs as well (you can also backup etcd databased content).

In order to make sure that TVK application scope and rules are followed correctly, TrilioVault is using an Admission Controller. It intercepts and validates each CRD that you want to push for TVK, before it is actually created. In case TVK application scope is not followed, the admission controller will reject CRD creation in the cluster.

Another important thing to consider and remember is that a TVK License is application scope specific. In other words, you need to generate one type of license for either a Namespaced or a Cluster type installation.

Namespaced vs Cluster TVK application scope - when to use one or the other?
It all depends on the use case. For example, a Namespaced scope is a more appropriate option when you don't have access to the whole Kubernetes cluster, only to specific namespaces and applications.
In most of the cases you want to protect only the applications tied to a specific namespace that you own.
On the other hand, a cluster scoped installation type works at the global level, meaning it can trigger backup/restore operations for any namespace or resource from a Kubernetes cluster (including PVs and the etcd database).

To summarize:

  • If you are a cluster administrator, then you will most probably want to perform cluster level operations via corresponding CRDs, like: ClusterBackupPlan, ClusterBackup, ClusterRestore, etc.
  • If you are a regular user, then you will usually perform namespaced only operations (application centric) via corresponding CRDs, like: BackupPlan, Backup, Restore, etc.

The application interface is very similar or uniform when comparing the two types: Cluster vs non-Cluster prefixed CRDs. So, if you're familiar with one type, it's pretty straightforward to use the counterpart.

For more information, please refer to the TVK CRDs official documentation.

Backup and Restore Workflow

Whenever you want to backup an application, you start by creating a BackupPlan (or ClusterBackupPlan) CRD, followed by a Backup (or ClusterBackup) object. Trilio Backup Controller is notified about the change and performs backup object inspection and validation (i.e. whether it is cluster backup, namespace backup, etc.). Then, it spawns worker pods (Metamover, Datamover) responsible with moving the actual data (Kubernetes metadata, PVs data) to the backend storage (or Target), such as OVHcloud Object Storage.

Similarly whenever you create a Restore object, the "Restore Controller" is notified to restore from a Backup object. Then, Trilio Restore Controller spawns worker nodes (Metamover, Datamover), responsible with moving backup data out of the OVHcloud Object Storage (Kubernetes metadata, PVs data). Finally, the restore process is initiated from the particular backup object.

Trilio is ideal for the disaster recoveryuse case, as well as for "snapshotting" your application state, prior to performing system operations on your cluster, like upgrades. For more details on this topic, please visit the Trilio Features and Trilio Use Case official page.

After finishing this tutorial, you should be able to:

  • Configure OVHcloud Object Storage backend for Trilio to use.
  • Backup and restore your applications
  • Backup and restore your entire OVHcloud Managed Kubernetes Cluster.
  • Create scheduled backups for your applications.
  • Create retention policies for your backups.

Table of Contents

Requirements

To complete this tutorial, you need the following:

  1. An OVHcloud S3 Object Storage Container/Bucket and a S3 User which will have permission to access the Object Storage Container.
  2. A Git client, to clone the OVHcloud Docs repository.
  3. Helm, for managing TrilioVault Operator releases and upgrades.
  4. Kubectl, for Kubernetes interaction.
  5. krew, for installation of preflight checks plugin.

Important information:

In order for TrilioVault to work correctly and to backup your PVCs, the OVHcloud Managed Kubernetes Cluster needs to be configured to support the Container Storage Interface (or CSI, for short) and volumesnapshot CustomResourceDefinitions should be deployed.

kubectl get crd | grep volumesnapshot

The output should look similar to below:

volumesnapshotclasses.snapshot.storage.k8s.io    2022-01-20T07:58:05Z
volumesnapshotcontents.snapshot.storage.k8s.io   2022-01-20T07:58:05Z
volumesnapshots.snapshot.storage.k8s.io          2022-01-20T07:58:06Z

Also make sure that the CRD support both v1beta1 and v1 API version. You can run below command to check the API version:

kubectl get crd volumesnapshots.snapshot.storage.k8s.io -o yaml

At the end of the CRD yaml, you should obtain an output similar to below, showing storedVersions as v1beta1 and v1:

...
- lastTransitionTime: "2022-01-20T07:58:06Z"
    message: approved in https://github.com/kubernetes-csi/external-snapshotter/pull/419
    reason: ApprovedAnnotation
    status: "True"
    type: KubernetesAPIApprovalPolicyConformant
  storedVersions:
  - v1beta1
  - v1

User can then install the Hostpath CSI driver and create a storageclass, volumesnapshotclass. You can check the existing storage class using below command:

kubectl get storageclass

The output should look similar to (notice the provisioner is hostpath.csi.k8s.io if you have installed hostpath CSI driver):

NAME                        PROVISIONER                RECLAIMPOLICY   VOLUMEBINDINGMODE   ALLOWVOLUMEEXPANSION   AGE
csi-cinder-classic          cinder.csi.openstack.org   Delete          Immediate           true                   3d
csi-cinder-high-speed       cinder.csi.openstack.org   Delete          Immediate           true                   3d
csi-hostpath-sc (default)   hostpath.csi.k8s.io        Retain          Immediate           false                  2d

Users should run a preflight check to make sure all the prerequisites for the TVK are fulfilled to proceed safely with installation. Follow the TVK Preflight Checks page to install and run preflight through krew plugin.

Instructions

Step 1 - Installing TrilioVault for Kubernetes

In this step, you will learn how to deploy TrilioVault for Kubernetes for OVHcloud Managed Kubernetes Cluster, and manage TVK installations via Helm. Backups data will be stored in the OVHcloud Object Storage bucket created earlier in the Requirements section.

TrilioVault for Kubernetes consists of TVK Operator and TVM application.

The TrilioVault Operator (installable via Helm) which also installs the TrilioVaultManager CRD and creates a tvm custom resource. TVK Operator handles the installation, post-configuration steps, and future upgrades of the Trilio application components.

Installing TrilioVault Operator and Manager Using Helm

This tutorial is using the Cluster installation type for the TVK application (applicationScope Helm value is set to "Cluster"). All examples from this tutorial rely on this type of installation to function properly.

Please follow the steps below, to install TrilioVault via Helm:

First, clone the OVHcloud Docs Git repository and change directory to your local copy:

git clone https://github.com/ovh/docs.git
cd docs/pages/platform/kubernetes-k8s/backup-and-restore-cluster-namespace-and-applications-with-trilio/

Next, add the TrilioVault Helm repository, and list the available charts:

helm repo add triliovault-operator http://charts.k8strilio.net/trilio-stable/k8s-triliovault-operator
helm repo update
helm search repo triliovault-operator

The output looks similar to the following:

NAME                                            CHART VERSION   APP VERSION     DESCRIPTION
triliovault-operator/k8s-triliovault-operator   2.9.3           2.9.3           K8s-TrilioVault-Operator is an operator designe...

The chart of interest is triliovault-operator/k8s-triliovault-operator, which will install TrilioVault for Kubernetes Operator on the cluster. You can run helm install command to install the Operator which will also install the Triliovault Manager CRD. Install TrilioVault for Kubernetes Operator using Helm:

TVK allows user to alter the values to be used by TVK Operator installation using --set option. Check the detailed instructions in the One-click Installation page.

helm install triliovault-operator triliovault-operator/k8s-triliovault-operator --namespace tvk --create-namespace

Now, please check your TVK deployment:

helm ls -n tvk

The output looks similar to the following (STATUS column should display "deployed"):

NAME                    NAMESPACE       REVISION        UPDATED                                 STATUS          CHART                           APP VERSION
triliovault-manager-tvk tvk             1               2022-06-21 07:15:03.681891176 +0000 UTC deployed        k8s-triliovault-2.9.3           2.9.3
triliovault-operator    tvk             1               2022-06-21 07:13:18.731129339 +0000 UTC deployed        k8s-triliovault-operator-2.9.3  2.9.3

Next, verify that TrilioVault-Operator and Triliovault-Manager application is up and running:

kubectl get deployments -n tvk

The output looks similar to the following (deployment pods must be in the Ready state):

NAME                                            READY   UP-TO-DATE   AVAILABLE   AGE
k8s-triliovault-admission-webhook               1/1     1            1           45d
k8s-triliovault-control-plane                   1/1     1            1           45d
k8s-triliovault-exporter                        1/1     1            1           45d
k8s-triliovault-ingress-nginx-controller        1/1     1            1           13d
k8s-triliovault-web                             1/1     1            1           45d
k8s-triliovault-web-backend                     1/1     1            1           45d
triliovault-operator-k8s-triliovault-operator   1/1     1            1           45d

Now, please check your triliovaultmanagers CRDs, tvm CR as well:

kubectl get crd | grep trilio

The output looks similar to the following:

backupplans.triliovault.trilio.io                     2022-06-21T07:39:38Z
backups.triliovault.trilio.io                         2022-06-21T07:39:38Z
clusterbackupplans.triliovault.trilio.io              2022-06-21T07:39:39Z
clusterbackups.triliovault.trilio.io                  2022-06-21T07:39:39Z
clusterrestores.triliovault.trilio.io                 2022-06-21T07:39:39Z
hooks.triliovault.trilio.io                           2022-06-21T07:39:39Z
licenses.triliovault.trilio.io                        2022-06-21T07:39:39Z
policies.triliovault.trilio.io                        2022-06-21T07:39:40Z
restores.triliovault.trilio.io                        2022-06-21T07:39:40Z
targets.triliovault.trilio.io                         2022-06-21T07:39:40Z
triliovaultmanagers.triliovault.trilio.io             2022-06-21T07:38:30Z

You can also check if the TVM Custom Resource is created.

kubectl get triliovaultmanagers -n tvk

The output looks similar to the following:

NAME                  TRILIOVAULT-VERSION   SCOPE     STATUS     RESTORE-NAMESPACES
triliovault-manager   2.9.3                 Cluster   Deployed

If the output looks like above, you installed TVK successfully. Next, you will learn how to check license type and validity, as well as how to renew.

TrilioVault Application Licensing

By default, when installing TVK via Helm, there is no Free Trial license generated. This tutorial will help you install the 'Cluster' scoped license which is of type 'Basic' for cluster capacity of 500 CPUs and has expiration time of 5 years.
You can always go to the Trilio website and generate a new license for your cluster that suits your needs.

Installing TVK Application Licensing

Please run below command to see what license is available for your cluster (it is managed via the License CRD):

curl -LO https://raw.githubusercontent.com/ovh/docs/develop/pages/platform/kubernetes-k8s/backup-and-restore-cluster-namespace-and-applications-with-trilio/manifests/tvk_install_license.yaml
kubectl apply -f tvk_install_license.yaml -n tvk

Run the below command to verify if the license is successfully created for OVHcloud users:

kubectl get license -n tvk

The output looks similar to (notice the STATUS which should be "Active", as well as the license type in the EDITION column and EXPIRATION TIME):

NAMESPACE   NAME             STATUS   MESSAGE                                   CURRENT NODE COUNT   GRACE PERIOD END TIME   EDITION   CAPACITY   EXPIRATION TIME        MAX NODES
tvk         trilio-license   Active   Cluster License Activated successfully.   3                                            Basic     500        2027-06-21T00:00:00Z   3

The license is managed via a special CRD, namely the License object. You can inspect it by running below command:

kubectl describe license test-license-1 -n tvk

The output looks similar to (notice the Message and Capacity fields, as well as the Edition):

Name:         test-license-1
Namespace:    tvk
Labels:       <none>
Annotations:  generation: 1
              triliovault.trilio.io/creator: kubernetes-admin
              triliovault.trilio.io/instance-id: 46188ee1-8ce1-4c45-96fa-c262f2214ced
              triliovault.trilio.io/updater:
                [{"username":"system:serviceaccount:tvk:k8s-triliovault","lastUpdatedTimestamp":"2022-06-21T10:06:59.796280418Z"}]
API Version:  triliovault.trilio.io/v1
Kind:         License
Metadata:
  Creation Timestamp:  2022-06-21T10:56:14Z
...
  Current Node Count:  3
  Max Nodes:           3
  Message:             Cluster License Activated successfully.
  Properties:
    Active:                        true
    Capacity:                      500
    Company:                       OVHCloud License For Users
    Creation Timestamp:            2022-06-21T00:00:00Z
    Edition:                       Basic
    Expiration Timestamp:          2027-06-21T00:00:00Z
    Kube UID:                      46188ee1-8ce1-4c45-96fa-c262f2214ced
    License ID:                    TVAULT-4ddf3f72-d2ab-11ec-9a22-4b4849af53ee
    Maintenance Expiry Timestamp:  2027-06-21T00:00:00Z
    Number Of Users:               -1
    Purchase Timestamp:            2022-06-21T00:00:00Z
    Scope:                         Cluster
...

The above output will also tell you when the license is going to expire in the Expiration Timestamp field, and the Scope (Cluster based in this case). You can opt for a cluster wide license type, or for a namespace based license. More details can be found on the Trilio Licensing documentation page.

Renewing TVK Application License

To renew the license, you will have to request a new one from the Trilio website, by navigating to the licensing page. After completing the form, you should receive the License YAML manifest, which can be applied to your cluster using kubectl. Below commands assume that TVK is installed in the default tvk namespace (please replace the <> placeholders accordingly, where required):

kubectl apply -f <YOUR_LICENSE_FILE_NAME>.yaml -n tvk

Then, you can check the new license status as you already learned via:

# List available TVK licenses first from the `tvk` namespace
kubectl get license -n tvk

# Get information about a specific license from the `tvk` namespace
kubectl describe license <YOUR_LICENSE_NAME_HERE> -n tvk

In the next step, you will learn how to define the storage backend for TrilioVault to store backups, called a target.

Step 2 - Creating a TrilioVault Target to Store Backups

TrilioVault needs to know first where to store your backups. TrilioVault refers to the storage backend by using the target term, and it's managed via a special CRD named Target. The following target types are supported: S3 and NFS. For OVHcloud and the purpose of the tutorial, it makes sense to rely on the S3 storage type because it's cheap and scalable. To benefit from an enhanced level of protection you can create multiple target types (for both S3 and NFS), so that your data is kept safe in multiple places, thus achieving backup redundancy.

OVHcloud provides two types of S3 compatible Object Storage solutions:

  • To create Target for the OVHcloud Object Storage using S3 Swift API, use this link.
  • To create Target for the OVHcloud Object Storage using High Performance, use this link

Create an S3 user in the tab next to Object Storage Container. Now, from Users and Roles, assign the Administrator priviledges to the S3 user.

Next, create an Access Key and Secret Key to access the S3 Object Storage Container using the Getting Started with the Swift S3 API tutorial.

If you have created a container with High Performance then follow the Getting started with S3 High Performance documentation.

Save the Access key and Secret key used in AWS CLI ~/.aws/credentails file. It is required to create a target secret later. Take a note of the S3 endpoint URL s3.endpoint_url, and the region name region provided in the AWS CLI ~/.aws/config file. It is required to create a Target later.

To access S3 storage, each target needs to know bucket credentials. A Kubernetes Secret must be created as well:

apiVersion: v1
kind: Secret
metadata:
  name: trilio-ovh-s3-target-secret
  namespace: tvk
type: Opaque
stringData:
  accessKey: <YOUR_OVH_OBJECT_STORAGE_BUCKET_ACCESS_KEY_ID_HERE>    # value must be base64 encoded
  secretKey: <YOUR_OVH_OBJECT_STORAGE_BUCKET_SECRET_KEY_HERE>       # value must be base64 encoded

Notice that the secret name is trilio-ovh-s3-target-secret.
It's referenced by the spec.objectStoreCredentials.credentialSecret field of the Target CRD explained below. The secret can be in the same namespace where TrilioVault was installed (defaults to tvk), or in another namespace of your choice. Just make sure that you reference the namespace correctly. On the other hand, please make sure to protect the namespace where you store TrilioVault secrets via RBAC, for security reasons.

Typical Target definition looks like below:

apiVersion: triliovault.trilio.io/v1
kind: Target
metadata:
  name: trilio-ovh-s3-target
  namespace: tvk
spec:
  type: ObjectStore
  vendor: Other                             # e.g. `AWS` for AWS S3 Storage and `Other` for OVHcloud Object Storage
  enableBrowsing: true
  objectStoreCredentials:
    bucketName: <YOUR_OVH_OBJECT_STORAGE_BUCKET_NAME_HERE>
    region: <YOUR_OVH_OBJECT_STORAGE_BUCKET_REGION_HERE>    # e.g.: `bhs` region for OVHcloud Object Storage or `us-est-1` etc for AWS S3
    url: "https://s3.<REGION_NAME_HERE>.cloud.ovh.net"      # e.g.: `https://s3.bhs.cloud.ovh.net` for S3 Object Storage Container in `bhs` region
    credentialSecret:
      name: trilio-ovh-s3-target-secret
      namespace: tvk
  thresholdCapacity: 10Gi

Explanation for the above configuration:

  • spec.type: Type of target for backup storage (S3 is an object store).
  • spec.vendor: Third party storage vendor hosting the target (for OVHcloud Object Storage you need to use "Other" instead of "AWS").
  • spec.enableBrowsing: Enable browsing for the target to browse through the backups stored on it.
  • spec.objectStoreCredentials: Defines required credentials (via credentialSecret) to access the S3 storage, as well as other parameters such as bucket region and name.
  • spec.thresholdCapacity: Maximum threshold capacity to store backup data.

Steps to create a Target for TrilioVault:

  1. First, change directory where the ovh/docs Git repository was cloned on your local machine:
cd docs/pages/platform/kubernetes-k8s/backup-and-restore-cluster-namespace-and-applications-with-trilio/
  1. Next, create the Kubernetes secret containing your target S3 bucket credentials (please replace the <> placeholders accordingly):
kubectl create secret generic trilio-ovh-s3-target-secret \
  --namespace=tvk \
  --from-literal=accessKey="<YOUR_OVH_OBJECT_STORAGE_BUCKET_ACCESS_KEY_HERE>" \
  --from-literal=secretKey="<YOUR_OVH_OBJECT_STORAGE_BUCKET_SECRET_KEY_HERE>"
  1. Then, open and inspect the Target manifest file provided in the docs repository, using an editor of your choice (preferably with YAML lint support). You can use VS Code for example:
cat manifests/triliovault-ovh-s3-target.yaml
  1. Now, please replace the <> placeholders accordingly to your OVHcloud Object Storage Trilio bucket, like: bucketName, region, url and credentialSecret.
  2. Finally, save the manifest file and create the Target object using kubectl:
kubectl apply -f manifests/triliovault-ovh-s3-target.yaml

What happens next is, TrilioVault will spawn a worker job named trilio-ovh-s3-target-validator responsible with validating your S3 bucket (like availability, permissions, etc.). If the job finishes successfully, the bucket is considered to be healthy or available and the trilio-ovh-s3-target-validator job resource is deleted afterwards. If something bad happens, the S3 target validator job is left up and running so that you can inspect the logs and find the possible issue.

Now, please go ahead and check if the Target resource created earlier is healthy:

kubectl get target trilio-ovh-s3-target -n tvk

The output looks similar to (notice the STATUS column value - should be "Available", meaning it's in a healthy state):

NAME                   TYPE          THRESHOLD CAPACITY   VENDOR   STATUS      BROWSING ENABLED
trilio-ovh-s3-target   ObjectStore   10Gi                 Other    Available   Enabled

If the output looks like above, then you configured the S3 target object successfully.

Hint: In case the target object fails to become healthy, you can inspect the logs from the trilio-ovh-s3-target-validator Pod to find the issue:

First, you need to find the target validator

kubectl get pods -n tvk | grep trilio-ovh-s3-target-validator

The output looks similar to:

trilio-ovh-s3-target-validator-tio99a-6lz4q 1/1     Running     0          104s

Now, fetch logs data

kubectl logs pod/trilio-ovh-s3-target-validator-tio99a-6lz4q -n tvk

The output looks similar to (notice the exception as an example):

...
INFO:root:2022-06-21 09:06:50.595166: waiting for mount operation to complete.
INFO:root:2022-06-21 09:06:52.595772: waiting for mount operation to complete.
ERROR:root:2022-06-21 09:06:54.598541: timeout exceeded, not able to mount within time.
ERROR:root:/triliodata is not a mountpoint. We can't proceed further.
Traceback (most recent call last):
  File "/opt/tvk/datastore-attacher/mount_utility/mount_by_target_crd/mount_datastores.py", line 56, in main
    utilities.mount_datastore(metadata, datastore.get(constants.DATASTORE_TYPE), base_path)
  File "/opt/tvk/datastore-attacher/mount_utility/utilities.py", line 377, in mount_datastore
    mount_s3_datastore(metadata_list, base_path)
  File "/opt/tvk/datastore-attacher/mount_utility/utilities.py", line 306, in mount_s3_datastore
    wait_until_mount(base_path)
  File "/opt/tvk/datastore-attacher/mount_utility/utilities.py", line 328, in wait_until_mount
    base_path))
Exception: /triliodata is not a mountpoint. We can't proceed further.
...

Next, you will discover the TVK web console which is a really nice and useful addition to help you manage backup and restore operations very easily, among many others.

Step 3 - Getting to Know the TVK Web Management Console

While you can manage backup and restore operations from the CLI entirely via kubectl and CRDs, TVK provides a Web Management Console to accomplish the same operations via the GUI. The management console simplifies common tasks via point and click operations, provides better visualization and inspection of TVK cluster objects, as well as to create disaster recovery plans (or DRPs).

The Helm based installation covered in Step 1 - Installing TrilioVault for Kubernetes already took care of installing the required components for the web management console.

Getting Access to the TVK Web Management Console

To be able to access the console and explore the features it offers, you can either user LoadBalancer, NodePort or need to port forward the ingress-nginx-controller service for TVK.

First, you need to identify the ingress-nginx-controller service from the tvk namespace:

kubectl get svc -n tvk

The output looks similar to (search for the k8s-triliovault-ingress-nginx-controller line, and notice that it listens on port 80 in the PORT(S) column):

NAME                                                            TYPE        CLUSTER-IP     EXTERNAL-IP   PORT(S)                      AGE
k8s-triliovault-admission-webhook                               ClusterIP   10.3.241.124   <none>        443/TCP                      45d
k8s-triliovault-ingress-nginx-controller                        NodePort    10.3.183.125   <none>        80:31879/TCP,443:31921/TCP   13d
k8s-triliovault-ingress-nginx-controller-admission              ClusterIP   10.3.20.89     <none>        443/TCP                      13d
k8s-triliovault-web                                             ClusterIP   10.3.56.86     <none>        80/TCP                       45d
k8s-triliovault-web-backend                                     ClusterIP   10.3.236.30    <none>        80/TCP                       45d
triliovault-operator-k8s-triliovault-operator-webhook-service   ClusterIP   10.3.8.249     <none>        443/TCP                      45d

If you are using LoadBalancer for the ingress-nginx-controller then the output would look like:

NAME                                                            TYPE            CLUSTER-IP     EXTERNAL-IP      PORT(S)                      AGE
k8s-triliovault-admission-webhook                               ClusterIP       10.3.241.124   <none>           443/TCP                      45d
k8s-triliovault-ingress-nginx-controller                        LoadBalancer    10.3.183.125   51.222.45.171    80:31879/TCP,443:31921/TCP   13d
k8s-triliovault-ingress-nginx-controller-admission              ClusterIP       10.3.20.89     <none>           443/TCP                      13d
k8s-triliovault-web                                             ClusterIP       10.3.56.86     <none>           80/TCP                       45d
k8s-triliovault-web-backend                                     ClusterIP       10.3.236.30    <none>           80/TCP                       45d
triliovault-operator-k8s-triliovault-operator-webhook-service   ClusterIP       10.3.8.249     <none>           443/TCP                      45d

TVK is using an Nginx Ingress Controller to route traffic to the management web console services. Routing is host based, and the host name is ovh-k8s-tvk.demo.trilio.io as defined in the Helm values file from the ovh/docs:

# The host name to use when accessing the web console via the TVK ingress controller service
ingressConfig:
  host: "ovh-k8s-tvk.demo.trilio.io"

Having the above information at hand, please go ahead and edit the /etc/hosts file, and add this entry:

127.0.0.1 ovh-k8s-tvk.demo.trilio.io

Next, create the port forward for the TVK ingress controller service:

kubectl port-forward svc/k8s-triliovault-ingress-nginx-controller 8080:80 -n tvk

Finally download the kubeconfig file for your OVHcloud Managed Kubernetes Cluster present under Service tab as Kubeconfig file. This step is required so that the web console can authenticate you using kubeconfig file:

After following the above steps, you can access the console in your web browser by navigating to: http://ovh-k8s-tvk.demo.trilio.io. When asked for the kubeconfig file, please select the one that you created in the last command from above.

Please keep the generated kubeconfig file safe because it contains sensitive data.

Exploring the TVK Web Console User Interface

The home page looks similar to:

TVK Home Cluster Dashboard

Go ahead and explore each section from the left:

  • Cluster Management: This shows the list of primary cluster and other clusters having TVK instances, added to the primary OVHcloud cluster using Multi-Cluster Management feature.
  • Backup & Recovery: This is the main dashboard which gives you a general overview for the whole cluster, like: Discovered namespaces, Applications, Backupplans list, Targets, Hooks, Policies etc.
    • Namespaces: TVK Cluster Namespaces
    • Applications: TVK Auto-discovered Applications
    • Backupplans: TVK Backupplans
    • Targets: TVK Target List
    • Scheduling Policy: TVK Default Scheduling Policy
    • Retention Policy: TVK Default Retention Policy
  • Monitoring: This has two options, TrilioVault Monitoring and Velero Monitoring if user has Velero configured on their OVHcloud cluster.
    • TrilioVault Monitoring: It shows the backup and restore summary of the kubernetes cluster. TVK TrilioVault Monitoring Backups and Restores
    • Velero Monitoring: TVK Velero Monitoring
  • Disaster Recovery: Allows you to manage and perform disaster recovery operations. TVK Disaster Recovery

You can also see the S3 Target created earlier, by navigating to Backup & Recovery > Targets > Select the TVK Namespace from the dropdown on the top (in case of ovh/docs the TVK Namespace is tvk):

TVK Target List

Going further, you can browse the target and list the available backups by clicking on the Actions button from the right, and then select Launch Browser option from the pop-up menu (for this to work the target must have the enableBrowsing flag set to true):

TVK Target Browser

For more information and available features, please consult the TVK Web Management Console User Interface official documentation.

Next, you will learn how to perform backup and restore operations for specific use cases, like:

  • Specific namespace(s) backup and restore.
  • Whole cluster backup and restore.

Step 4 - Helm Release Backup and Restore Example

In this step, you will learn how to create a one-time backup for an entire helm release from your OVHcloud Managed Kubernetes Cluster and restore it afterwards, making sure that all the resources related to the helm release are re-created. The namespace in question is demo-backup-ns. TVK has a neat feature that allows you to perform backups at a higher level than just Helm releases, meaning: complete namespaces, Label based application, and Operator based application. You will learn how to accomplish such a task, in the steps to follow.

Next, you will perform the following tasks:

  • Create the demo-backup-ns namespace and create a mysql-qa helm release for the MySQL Database
  • Perform a namespace backup, via BackupPlan and Backup CRDs.
  • Delete the mysql-qa Helm release.
  • Restore the mysql-qa Helm release, via Restore CRD.
  • Check the mysql-qa Helm release resources restoration.

Creating mysql-qa helm release

helm repo add stable https://charts.helm.sh/stable
helm repo update
helm install mysql-qa --set mysqlRootPassword=triliopass stable/mysql -n demo-backup-ns

To verify if the helm release is deployed correctly, run below command:

helm ls -n demo-backup-ns

The output looks similar to below:

NAME            NAMESPACE       REVISION        UPDATED                                 STATUS          CHART           APP VERSION
mysql-qa        demo-backup-ns  1               2022-06-21 08:23:01.849247691 +0000 UTC deployed        mysql-1.6.9     5.7.30

Next, verify that mysql-qa deployment is up and running:

kubectl get deployments -n demo-backup-ns

The output looks similar to below:

NAME       READY   UP-TO-DATE   AVAILABLE   AGE
mysql-qa   1/1     1            1           2m5s

This shows that the mysql-qa helm release is ready to be backedup.

Creating mysql-qa Helm Release Backup

To perform backups for a single application at the namespace level (or Helm release), a BackupPlan followed by a Backup CRD is required. A BackupPlan allows you to:

  • Specify a target where backups should be stored.
  • Define a set of resources to backup (e.g.: namespace or Helm releases).
  • Encryption, if you want to encrypt your backups on the target (this is a very nice feature for securing your backups data).
  • Define schedules for full or incremental type backups.
  • Define retention policies for your backups.

The TrilioVault for Kubernetes has created a few sample scheduling and retention policies for users. Users can create the new policies or utilize the sample policies. TVK Default Scheduling Policy TVK Default Retention Policy

In other words a BackupPlan is a definition of "what", "where", "to" and "how" of the backup process, but it doesn't perform the actual backup. The Backup CRD is responsible with triggering the actual backup process, as dictated by the BackupPlan spec.

Typical BackupPlan CRD looks like below:

apiVersion: triliovault.trilio.io/v1
kind: BackupPlan
metadata:
  name: mysql-qa-helm-release-backup-plan
  namespace: demo-backup-ns
spec:
  backupConfig:
    target:
      name: trilio-ovh-s3-target
      namespace: tvk
  backupPlanComponents:
    helmReleases:
      - mysql-qa

Explanation for the above configuration:

  • spec.backupConfig.target.name: Tells TVK what target name to use for storing backups.
  • spec.backupConfig.target.namespace: Tells TVK in which namespace the target was created.
  • spec.backupComponents: Defines a list of resources to back up (can be namespaces or Helm releases).

Typical Backup CRD looks like below:

apiVersion: triliovault.trilio.io/v1
kind: Backup
metadata:
  name: mysql-qa-helm-release-full-backup
  namespace: demo-backup-ns
spec:
  type: Full
  backupPlan:
    name: mysql-qa-helm-release-backup-plan
    namespace: demo-backup-ns

Explanation for the above configuration:

  • spec.type: Specifies backup type (e.g. Full or Incremental).
  • spec.backupPlan: Specifies the BackupPlan which this Backup should use.

Steps to initiate the mysql-qa Helm release one time backup:

  1. First, make sure that the mysql-qa is deployed in your cluster by following these steps.
  2. Next, change directory where the docs Git repository was cloned on your local machine:
cd docs/pages/platform/kubernetes-k8s/backup-and-restore-cluster-namespace-and-applications-with-trilio/
  1. Then, open and inspect the mysql-qa helm release BackupPlan and Backup manifest files provided in the pages/platform/kubernetes-k8s/backup-and-restore-cluster-namespace-and-applications-with-trilio/guide.en-us.md repository, using an editor of your choice (preferably with YAML lint support). You can use VS Code for example:
cat manifests/mysql-qa-helm-release-backup-plan.yaml
cat manifests/mysql-qa-helm-release-backup.yaml
  1. Create the BackupPlan resource, using kubectl:
kubectl apply -f manifests/mysql-qa-helm-release-backup-plan.yaml -n demo-backup-ns

Now, inspect the BackupPlan status (targeting the mysql-qa Helm release), using kubectl:

kubectl get backupplan mysql-qa-helm-release-backup-plan -n demo-backup-ns

The output looks similar to (notice the STATUS column value which should be set to "Available"):

NAME                                  TARGET            ...   STATUS
mysql-qa-helm-release-backup-plan   trilio-ovh-s3-target    ...   Available
  1. Finally, create a Backup resource, using kubectl:
kubectl apply -f manifests/mysql-qa-helm-release-backup.yaml -n demo-backup-ns

Now, inspect the Backup status (targeting the mysql-qa Helm release), using kubectl:

kubect get backup mysql-qa-helm-release-full-backup -n demo-backup-ns

Next, check the Backup object status, using kubectl:

kubectl get backup mysql-qa-helm-release-full-backup -n demo-backup-ns

The output looks similar to (notice the STATUS column value which should be set to "InProgress", as well as the BACKUP TYPE set to "Full"):

NAME                                BACKUPPLAN                          BACKUP TYPE   STATUS       ...
mysql-qa-helm-release-full-backup   mysql-qa-helm-release-backup-plan   Full          InProgress   ...

After all the mysql-qa Helm release components finish uploading to the S3 target, you should get below results:

kubectl get backup mysql-qa-helm-release-full-backup -n demo-backup-ns

The output looks similar to (notice that the STATUS changed to "Available", and PERCENTAGE is "100")

NAME                                BACKUPPLAN                          BACKUP TYPE   STATUS      ...   PERCENTAGE
mysql-qa-helm-release-full-backup   mysql-qa-helm-release-backup-plan   Full          Available   ...   100

If the output looks like above, you successfully backed up the mysql-qa Helm release. You can go ahead and see how TrilioVault stores Kubernetes metadata by listing the TrilioVault S3 Bucket contents.

Finally, you can check that the backup is available in the web console as well, by navigating to Backup & Recovery -> Backup Plans and select demo-ns-backup Namespace from the Top dropdown (notice that it's in the "Available" state, and that the mysql-qa Helm release was backed up in the "Component Details" sub-view)

Deleting mysql-qa Helm Release and Resources

Now, go ahead and simulate a disaster, by intentionally deleting the mysql-qa Helm release:

helm delete mysql-qa -n demo-backup-ns

Next, check that the namespace resources were deleted (listing should be empty):

kubectl get all -n demo-backup-ns

Restoring mysql-qa Helm Release Backup

Important notes:

  • If restoring into the same namespace, ensure that the original application components have been removed. Especially the PVC of application are deleted.
  • If restoring to another cluster (migration scenario), ensure that TrilioVault for Kubernetes is running in the remote namespace/cluster as well. To restore into a new cluster (where the Backup CR does not exist), source.type must be set to location. Please refer to the Custom Resource Definition Restore Section to view a restore by location example.
  • When you delete the demo-backup-ns namespace, the load balancer resource associated with the mysql-qa service will be deleted as well. So, when you restore the mysq-qa service, the Load Balancer will be recreated by OVHcloud. The issue is that you will get a New IP address for your Load Balancer, so you will need to adjust the A records for getting traffic into your domains hosted on the cluster.

To restore a specific Backup, you need to create a Restore CRD. Typical Restore CRD looks like below:

apiVersion: triliovault.trilio.io/v1
kind: Restore
metadata:
  name: mysql-qa-helm-release-restore
  namespace: demo-restore-ns
spec:
  source:
    type: Backup
    backup:
      name: mysql-qa-helm-release-full-backup
      namespace: demo-backup-ns
  skipIfAlreadyExists: true

Explanation for the above configuration:

  • spec.source.type: Specifies what backup type to restore from.
  • spec.source.backup: Contains a reference to the backup object to restore from.
  • spec.skipIfAlreadyExists: Specifies whether to skip restore of a resource if it already exists in the namespace restored.

Restore allows you to restore the last successful Backup for an application. It is used to restore a single namespaces or Helm release, protected by the Backup CRD. The Backup CRD is identified by its name: mysql-qa-helm-release-full-backup.

First, inspect the Restore CRD example from the ovh/docs Git repository:

cat manifests/mysql-qa-helm-release-restore.yaml

Then, create the Restore resource using kubectl:

kubectl apply -f manifests/mysql-qa-helm-release-restore.yaml

Finally, inspect the Restore object status:

kubectl get restore mysql-qa-helm-release-restore -n demo-restore-ns

The output looks similar to (notice the STATUS column set to Completed, as well as the PERCENTAGE COMPLETED set to 100):

NAME                            STATUS      DATA SIZE   START TIME             END TIME               PERCENTAGE COMPLETED   DURATION
mysql-qa-helm-release-restore   Completed   0           2022-06-21T15:06:52Z   2022-06-21T15:07:35Z   100                    43.524191306s

If the output looks like above, then the mysql-qa Helm release restoration process completed successfully.

Verifying Applications Integrity after Restoration

Check that all the demo-restore-ns namespace resources are in place and running:

kubectl get all -n demo-restore-ns

The output looks similar to:

NAME                                                           READY   STATUS      RESTARTS   AGE
pod/mysql-qa-665f6fb548-m8tnd                                  1/1     Running     0          91m
pod/mysql-qa-helm-release-full-backup-metamover-9w7s0y-x8867   0/1     Completed   0          9m2s

NAME               TYPE        CLUSTER-IP     EXTERNAL-IP   PORT(S)    AGE
service/mysql-qa   ClusterIP   10.3.227.118   <none>        3306/TCP   91m

NAME                       READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/mysql-qa   1/1     1            1           91m

NAME                                  DESIRED   CURRENT   READY   AGE
replicaset.apps/mysql-qa-665f6fb548   1         1         1       91m

NAME                                                           COMPLETIONS   DURATION   AGE
job.batch/mysql-qa-helm-release-full-backup-metamover-9w7s0y   1/1           28s        9m2s

Next step deals with whole cluster backup and restore, thus covering a disaster recovery scenario.

Step 5 - Backup and Restore Whole Cluster Example

In this step, you will simulate a disaster recovery scenario. The whole OVHcloud Managed Kubernetes Cluster will be deleted, and then the important applications restored from a previous backup.

Next, you will perform the following tasks:

  • Create the multi-namespace backup, using a ClusterBackupPlan CRD that targets all important namespaces from your OVHcloud Managed Kubernetes Cluster.
  • Delete the OVHcloud Managed Kubernetes Cluster, using the OVHcloud Control Panel.
  • Create a new OVHcloud Managed Kubernetes Cluster, using the OVHcloud Control Panel.
  • Re-install TVK and configure the OVHcloud Object Storage bucket as S3 target (you're going to use the same S3 bucket, where your important backups are stored)
  • Restore all the important applications by using the TVK web console.
  • Check the OVHcloud Managed Kubernetes Cluster applications integrity.

Creating the OVHcloud Managed Kubernetes Cluster Backup using TVK Multi-Namespace backup feature

The main idea here is to perform a OVHcloud Managed Kubernetes Cluster backup by including all important namespaces, that hold your essential applications and configurations. Basically, we cannot name it a full cluster backup and restore, but rather a multi-namespace backup and restore operation. In practice this is all that's needed, because everything is "namespaced" in Kubernetes. You will also learn how to perform a cluster restore operation via location from the target. The same flow applies when you need to perform cluster migration.

Typical ClusterBackupPlan manifest targeting multiple namespaces looks like below:

apiVersion: triliovault.trilio.io/v1
kind: ClusterBackupPlan
metadata:
  name: ovh-multi-ns-backup-plan
  namespace: default
spec:
  backupConfig:
    target:
      name: trilio-ovh-s3-target
      namespace: default
  backupComponents:
    - namespace: default
    - namespace: demo-backup-ns
    - namespace: backend
    - namespace: monitoring

Notice that kube-system (or other OVHcloud Managed Kubernetes Cluster related namespaces) is not included in the list. Usually, those are not required, unless there is a special case requiring some settings to be persisted at that level.

Typical ClusterBackup manifest targeting multiple namespaces looks like below:

apiVersion: triliovault.trilio.io/v1
kind: ClusterBackup
metadata:
  name: multi-ns-backup
  namespace: default
spec:
  type: Full
  clusterBackupPlan:
    name: ovh-multi-ns-backup-plan
    namespace: default

Steps to initiate a backup for all important namespaces in your OVHcloud Managed Kubernetes Cluster:

  1. First, change directory where the ovh/docs Git repository was cloned on your local machine:
cd docs
  1. Then, open and inspect the ClusterBackupPlan and ClusterBackup manifest files provided in the docs repository.
cat manifests/multi-ns-backup-plan.yaml
cat manifests/multi-ns-backup.yaml
  1. Create the ClusterBackupPlan resource, using kubectl:
kubectl apply -f manifests/multi-ns-backup-plan.yaml

Now, inspect the ClusterBackupPlan status, using kubectl:

kubectl get clusterbackupplan multi-ns-backup-plan -n default

The output looks similar to (notice the STATUS column value which should be set to "Available"):

NAME                            TARGET                 ...      STATUS
ovh-multi-ns-backup-plan        trilio-ovh-s3-target   ...      Available
  1. Finally, create the ClusterBackup resource, using kubectl:
kubectl apply -f manifests/multi-ns-cluster-backup.yaml

Next, check the ClusterBackup status, using kubectl:

kubectl get clusterbackup multi-ns-cluster-backup -n default

The output looks similar to (notice the STATUS column value which should be set to "Available", as well as the PERCENTAGE COMPLETE set to "100"):

NAME                BACKUPPLAN                  BACKUP TYPE   STATUS        ...     COMPLETE
multi-ns-backup     ovh-multi-ns-backup-plan    Full          Avilable      ...     100

If the output looks like above then all your important application namespaces were backed up successfully.

Please bear in mind that it may take a while for the full cluster backup to finish, depending on how many namespaces and associated resources are involved in the process.

You can also open the web console main dashboard and inspect the multi-namespace backup (notice how all the important namespaces that were backed up are highlighted in green color, in a honeycomb structure)

Re-creating the OVHcloud Managed Kubernetes Cluster and Restoring Applications

An important aspect to keep in mind is that whenever you destroy an OVHcloud Managed Kubernetes Cluster and then restore it, a new Load Balancer with a new external IP is created as well when TVK restores your ingress controller. So, please make sure to update your OVHcloud Managed DNS A records accordingly.

Now, delete the whole OVHcloud Managed Kubernetes Cluster using the OVHcloud Control Panel.

Next, re-create the cluster as described in Creating a OVHcloud Managed Kubernetes Cluster.

To perform the restore operation, you need to install the TVK application as described in Step 1 - Installing TrilioVault for Kubernetes. Please make sure to use the same Helm Chart version - this is important!

After the installation finishes successfully, configure the TVK target as described in Step 2 - Creating a TrilioVault Target to Store Backups, and point it to the same OVHcloud S3 bucket where your backup data is located. Also, please make sure that target browsing is enabled.

Next, verify and activate a new license as described in the TrilioVault Application Licensing section.

To get access to the web console user interface, please consult the Getting Access to the TVK Web Management Console section.

Then, navigate to Resource Management > TVK Namespace > Targets (in case of ovh/docs the TVK Namespace is tvk).

TVK Target List

Going further, browse the target and list the available backups by clicking on the Actions button from the right. Then, select Launch Browser option from the pop-up menu (for this to work the target must have the enableBrowsing flag set to "true").

TVK Target Browser

Now, click on the multi-ns-backup-plan item from the list, and then click and expand the multi-ns-backup item from the right sub-window similar to:

Multi-Namespace Restore Phase 1

To start the restore process, click on the Restore button. A progress window will be displayed similar to below:

Multi-Namespace Restore Phase 2

After a while, if the progress window looks like below, then the multi-namespace restore operation completed successfully.

Multi-Namespace Restore Phase 3

Checking OVHcloud Managed Kubernetes Cluster Applications State

First, verify all cluster Kubernetes resources (you should have everything in place):

kubectl get all --all-namespaces

In the next step, you will learn how to perform scheduled (or automatic) backups for your OVHcloud Managed Kubernetes Cluster applications.

Step 6 - Scheduled Backups

Taking backups automatically based on a schedule, is a really useful feature to have. It allows you to rewind back time, and restore the system to a previous working state if something goes wrong. This section provides an example for an automatic backup on a 15 minute schedule (the kube-system namespace was picked).

By default TrilioVault for Kubernetes creates the sample daily, weekly, and monthly scheduling policy after installation. Users can use the same scheduling policies if no changes are required. See the default values of the policies in the TVK UI scheduling policy:

TVK Default Scheduling Policies

First, you need to create a Policy CRD of type Schedule that defines the backup schedule in cron format (same as Linux cron). Schedule polices can be used for either BackupPlan or ClusterBackupPlan CRDs. Typical schedule policy CRD looks like below (defines a 15 minute schedule):

kind: Policy
apiVersion: triliovault.trilio.io/v1
metadata:
  name: scheduled-backup-every-15min
  namespace: default
spec:
  type: Schedule
  scheduleConfig:
    schedule:
      - "*/15 * * * *" # trigger every 15 minutes

Next, you can apply the schedule policy to a ClusterBackupPlan CRD for example, as seen below:

apiVersion: triliovault.trilio.io/v1
kind: ClusterBackupPlan
metadata:
  name: multi-ns-backup-plan-5min-schedule
  namespace: default
spec:
  backupConfig:
    target:
      name: trilio-ovh-s3-target
      namespace: default
    schedulePolicy:
      fullBackupPolicy:
        name: scheduled-backup-every-15min
        namespace: default
  backupComponents:
    - namespace: default
    - namespace: demo-backup-ns
    - namespace: backend

Looking at the above, you can notice that it's a basic ClusterBackupPlan CRD, referencing the Policy CRD defined earlier via the spec.backupConfig.schedulePolicy field. You can have separate policies created for full or incremental backups, hence the fullBackupPolicy or incrementalBackupPolicy can be specified in the spec.

Now, please go ahead and create the schedule Policy, using the sample manifest provided by the ovh/docs tutorial (make sure to change directory first, where the ovh/docs Git repository was cloned on your local machine):

kubectl apply -f manifests/triliovault-scheduling-policy-every-15min.yaml

Check that the policy resource was created:

kubectl get policies -n default

The output looks similar to (notice the POLICY type set to Schedule):

NAMESPACE   NAME                           POLICY     DEFAULT
default     scheduled-backup-every-15min   Schedule   false

Finally, create the backupplan resource for the default namespace scheduled backups:

Create the backup plan first for default namespace.

kubectl apply -f manifests/triliovault-multi-ns-backup-plan-every-15min.yaml

Check the scheduled backup plan status for default:

kubectl get clusterbackupplan triliovault-multi-ns-backup-plan-every-15min.yaml -n default

The output looks similar to (notice the FULL BACKUP POLICY value set to the previously created scheduled-backup-every-5min policy resource, as well as the STATUS which should be "Available"):

NAME                                  TARGET                 ...   FULL BACKUP POLICY             STATUS
multi-ns-backup-plan-15min-schedule   trilio-ovh-s3-target   ...   scheduled-backup-every-15min   Available

Create a clusterbackup resource using scheduled policy for every 15 min:

Create and trigger the scheduled backup for default namespace:

kubectl apply -f manifests/triliovault-multi-ns-backup-every-15min.yaml.yaml

Check the scheduled backup status for default:

kubectl get clusterbackup multi-ns-backup-15min-schedule -n default

The output looks similar to (notice the BACKUPPLAN value set to the previously created backup plan resource, as well as the STATUS which should be "Available"):

NAME                             BACKUPPLAN                            BACKUP TYPE   STATUS      ...
multi-ns-backup-15min-schedule   multi-ns-backup-plan-15min-schedule   Full          Available   ...

Now, you can check that backups are performed on a regular interval (15 minutes), by querying the cluster backup resource and inspect the START TIME column (kubectl get clusterbackup -n default). It should reflect the 15 minutes delta.

In the next step, you will learn how to set up a retention policy for your backups.

Step 7 - Backups Retention Policy

The retention policy allows you to define the number of backups to retain and the cadence to delete backups as per compliance requirements. The retention policy CRD provides a simple YAML specification to define the number of backups to retain in terms of days, weeks, months, years, latest etc.

By default TrilioVault for Kubernetes creates the sample retention policy sample-ret-policy after installation. Users can use the same retention policy is no changes is required. See the default values of the policy in the TVK UI Retention policy: TVK Default Retention Policy

Using Retention Policies

Retention polices can be used for either BackupPlan or ClusterBackupPlan CRDs. Typical Policy manifest for the Retention type looks like below:

apiVersion: triliovault.trilio.io/v1
kind: Policy
metadata:
  name: sample-ret-policy
spec:
  type: Retention
  retentionConfig:
    latest: 2
    weekly: 1
    dayOfWeek: Wednesday
    monthly: 1
    dateOfMonth: 15
    monthOfYear: March
    yearly: 1

Explanation for the above configuration:

  • spec.type: Defines policy type. Can be: Retention or Schedule.
  • spec.retentionConfig: Describes retention configuration, such as what interval to use for backups retention and how many.
  • spec.retentionConfig.latest: Maximum number of latest backups to be retained.
  • spec.retentionConfig.weekly: Maximum number of backups to be retained in a week.
  • spec.retentionConfig.dayOfWeek: Day of the week to maintain weekly backups.
  • spec.retentionConfig.monthly: Maximum number of backups to be retained in a month.
  • spec.retentionConfig.dateOfMonth: Date of the month to maintain monthly backups.
  • spec.retentionConfig.monthOfYear: Month of the backup to retain for yearly backups.
  • spec.retentionConfig.yearly: Maximum number of backups to be retained in a year.

The above retention policy translates to:

  • On a weekly basis, keep one backup each Wednesday.
  • On a monthly basis, keep one backup in the 15th day.
  • On a yearly basis, keep one backup every March.
  • Overall, I want to always have the 2 most recent backups available.

The basic flow for creating a retention policy resource goes the same way as for scheduled backups. You need a BackupPlan or a ClusterBackupPlan CRD defined to reference the retention policy, and then have a Backup or ClusterBackup object to trigger the process.

Typical ClusterBackupPlan example configuration that has retention set, looks like below:

apiVersion: triliovault.trilio.io/v1
kind: ClusterBackupPlan
metadata:
  name: multi-ns-backup-plan-15min-schedule-retention
  namespace: default
spec:
  backupConfig:
    target:
      name: trilio-ovh-s3-target
      namespace: default
    retentionPolicy:
        name: sample-ret-policy
        namespace: default
  backupComponents:
    - namespace: default
    - namespace: backend

Once you apply the ClusterBackupplan, you can check it using:

kubect get clusterbackupplan -n default

Output would look similar to below:

NAME                                            TARGET                 RETENTION POLICY    ...      STATUS
multi-ns-backup-plan-15min-schedule-retention   trilio-ovh-s3-target   sample-ret-policy   ...      Available

Notice that it uses a retentionPolicy field to reference the policy in question. Of course, you can have a backup plan that has both types of policies set, so that it is able to perform scheduled backups, as well as to deal with retention strategies.

Using Cleanup Policies

Having so many TVK resources (each one responsible with various operations such as: scheduled backups, retention, etc), it is very probable for things to go wrong at some point in time. It means that some of the previously enumerated operations might fail due to various reasons, like: inaccessible storage, network issues for NFS, etc.
So, what happens is that your OVHcloud Managed Kubernetes Cluster will get crowded with many Kubernetes objects in a failed state.

You need a way to garbage collect all those objects in the end and release associated resources, to avoid trouble in the future. Meet the Cleanup Policy CRD:

apiVersion: triliovault.trilio.io/v1
kind: Policy
metadata:
  name: garbage-collect-policy
  namespace: tvk
spec:
  type: Cleanup
  cleanupConfig:
    backupDays: 5

The above cleanup policy must be defined in the TVK install namespace. Then, a cron job is created automatically for you that runs every 30 mins, and deletes failed backups based on the value specified for backupdays within the spec field.

This is a very neat feature that TVK provides to help you deal with this kind of situation.

Conclusion

In this tutorial, you learned how to perform one time, as well as scheduled backups, and to restore everything back. Having scheduled backups in place, is very important as it allows you to revert to a previous snapshot in time, if something goes wrong along the way. You walked through a disaster recovery scenario, as well. Next, backups retention plays an important role as well, because storage is finite and sometimes it can get expensive if too many objects are implied.

All the basic tasks and operations explained in this tutorial, are meant to give you a basic introduction and understanding of what TrilioVault for Kubernetes is capable of. You can learn more about TrilioVault for Kubernetes and other interesting (or useful) topics, by following the links below:

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