Contents

• Backup Charmed Kubeflow
  • Configure rclone
  • Backup CKF databases to S3 storage
  • Backup ML Metadata using sqlite3
  • Backup mlpipeline MinIO bucket
• Alternative backup methods
  • Backup ML Metadata using kubectl cp

Backup Charmed Kubeflow

The following instructions will allow you to backup and restore the Charmed Kubeflow (CKF) control plane data to a compatible S3 storage.

Pre-requisites

1. Access to a S3 storage - only AWS S3 and S3 RadosGW are supported

   This S3 storage will be used for storing all backup data from the CKF control plane.
   

2. Admin access to the Kubernetes cluster where CKF is deployed

3. Juju admin access to the kubeflow model

4. yq binary

5. Ensure the local storage is big enough to backup the data

Configure rclone

rclone is a tool that allows file management in cloud storage. This tool will be used for backing up several files throughout this guide and it can be installed as a snap:

sudo snap install rclone

Connect to a shared S3 storage

1. Configure rclone to connect to the shared S3 storage. The following can be used as reference.

[remote-s3]
type = s3
provider = AWS
env_auth = true
access_key_id = ...
secret_access_key = ...
region = eu-central-1
acl = private
server_side_encryption = AES256

2. Save the name of the S3 remote in an ENV variable.

RCLONE_S3_REMOTE=remote-s3

Connect to CKF MinIO

1. The following steps require an accessible MinIO endpoint, which can be done port forwarding the minio Service:

kubectl port-forward -n kubeflow svc/minio 9000:9000

2. Get minio’s secret-key value:

juju show-unit kfp-ui/0 \
        | yq '.kfp-ui/0.relation-info.[] | select (.endpoint == "object-storage") | .application-data.data' \
        | yq '.secret-key'

3. Get minio’s access-key:

juju config minio access-key

4. Configure rclone to connect to CKF MinIO. The following can be used as reference.

[minio-ckf]
type = s3
provider = Minio
access_key_id = minio
secret_access_key = ...
endpoint = http://localhost:9000
acl = private

5. Save the name of the MinIO remote in an ENV variable.

RCLONE_MINIO_CKF_REMOTE=minio-ckf

Backup CKF databases to S3 storage

CKF uses katib-db and kfp-db as databases for Katib and Kubeflow pipelines respectively.

1. Deploy and configure the s3-integrator to connect to the shared S3 storage.

Follow the S3 AWS and S3 Radowsg configuration guides for this step.

2. Scale up kfp-db and katib-db.

This step avoids the Primary database from becoming unavailable during backup.

juju scale-application kfp-db 2
juju scale-application katib-db 2

2. Create a backup for each database.

Please replace mysql-k8s with the name of the database you intend to create a backup for in the commands form that guide. E.g. katib-db instead of mysql-k8s.

Backup ML Metadata using sqlite3

The mlmd charm uses a SQLite database to store ML metadata generated from Kubeflow pipelines.

1. Install the required tools inside the application container

# MLMD > 1.14, CKF 1.9
MLMD_POD="mlmd-0"
MLMD_CONTAINER="mlmd-grpc-server"

# MLMD 1.14, CKF 1.8
MLMD_POD="mlmd-0"
MLMD_CONTAINER="mlmd"

kubectl exec -n kubeflow $MLMD_POD -c $MLMD_CONTAINER -- \
    /bin/bash -c "apt update && apt install sqlite3 -y"

2. Scale down kfp-metadata-writer

This is done to prevent any additional writes to MLMD.

juju scale-application kfp-metadata-writer 0

3. Perform a database backup

This will dump all the contents of the database into a compressed text file inside the mlmd-0 container.

MLMD_BACKUP=mlmd-$(date -d "today" +"%Y-%m-%d-%H-%M").dump.gz

kubectl exec -n kubeflow $MLMD_POD -c $MLMD_CONTAINER -- \
	/bin/bash -c \
	"sqlite3 /data/mlmd.db .dump | gzip -c >/tmp/$MLMD_BACKUP"

4. Copy the backup file to local storage.

In this step we’ll copy the dump of MLMD DB into the local machine that executes the commands.

kubectl cp -n kubeflow -c $MLMD_CONTAINER \
	$MLMD_POD:/tmp/$MLMD_BACKUP \
	./$MLMD_BACKUP

5. Copy the MLMD backup data to the S3 storage

In this step we’ll move the local copy of the MLMD DB dump to the S3 bucket that will store all the backup artifacts.

S3_BUCKET=backup-bucket-2024
RCLONE_S3_REMOTE=remote-s3
RCLONE_BWIDTH_LIMIT=20M

rclone --size-only copy \
	--bwlimit $RCLONE_BWIDTH_LIMIT \
	./$MLMD_BACKUP \
	$RCLONE_S3_REMOTE:$S3_BUCKET

Optionally you can remove the MLMD dump in your local machine

rm -rf $MLMD_BACKUP

6. Scale up kfp-metadata-writer

juju scale-application kfp-metadata-writer 1

Backup mlpipeline MinIO bucket

Sync all files from minio to the shared S3 storage

S3_BUCKET=backup-bucket-2024
RCLONE_S3_REMOTE=remote-s3
RCLONE_BWIDTH_LIMIT=20M

rclone --size-only sync \
	--bwlimit $RCLONE_BWIDTH_LIMIT \
	$RCLONE_MINIO_REMOTE:mlpipeline \
	$RCLONE_S3_REMOTE:$S3_BUCKET/mlpipeline

Alternative backup methods

Backup ML Metadata using kubectl cp

The mlmd charm uses a SQLite database to store ML metadata generated from Kubeflow pipelines.

1. Scale down kfp-metadata-writer

This is done to prevent any additional writes to MLMD.

juju scale-application kfp-metadata-writer 0

2. Copy the backup file to local storage.

This step creates a copy of the MLMD DB into the local machine that executes the commands.

# MLMD > 1.14, CKF 1.9
MLMD_POD="mlmd-0"
MLMD_CONTAINER="mlmd-grpc-server"

# MLMD 1.14, CKF 1.8
MLMD_POD="mlmd-0"
MLMD_CONTAINER="mlmd"

kubectl cp -n kubeflow -c $MLMD_CONTAINER \
	$MLMD_POD:/data/mlmd.db \
	./$MLMD_BACKUP

4. Copy the MLMD backup data to the S3 storage

In this step we’ll move the local copy of the MLMD DB dump to the S3 bucket that will store all the backup artifacts.

S3_BUCKET=backup-bucket-2024
RCLONE_S3_REMOTE=remote-s3
RCLONE_BWIDTH_LIMIT=20M

rclone --size-only copy \
	--bwlimit $RCLONE_BWIDTH_LIMIT \
	./$MLMD_BACKUP \
	$RCLONE_S3_REMOTE:$S3_BUCKET

Optionally you can remove the MLMD dump in your local machine

rm -rf $MLMD_BACKUP

5. Scale up kfp-metadata-writer

juju scale-application kfp-metadata-writer 1

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