This guide describes how to restore the Charmed Kubeflow (CKF) control plane from a compatible S3 storage.
It is expected that these steps are followed all at once, backing up all databases, pipelines MinIO bucket, and ML Metadata database at the same time. Failing to do so may result in data loss.
Running Kubeflow pipelines and Katib experiments can affect the outcome of the backup, please make sure all pipelines and experiments are stopped and no other processes are calling them, such as Jupyter Notebooks.
User workloads in user namespaces are not backed up.
Requirements
- Access to a S3 storage used for the backup data - only AWS S3 and S3 RadosGW are supported.
- Admin access to the Kubernetes cluster where CKF is deployed.
- Juju admin access to the
kubeflow
model. yq
binary.- Ensure the local storage is big enough to back up 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
- 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
You can check where this configuration file is located with rclone config file
.
- Save the name of the S3 remote in an
ENV
variable:
RCLONE_S3_REMOTE=remote-s3
Connect to CKF MinIO
- 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
- Get
minio
’ssecret-key
value:
juju show-unit kfp-ui/0 \
| yq '.kfp-ui/0.relation-info.[] | select (.endpoint == "object-storage") | .application-data.data' \
| yq '.secret-key'
- Get
minio
’saccess-key
:
juju config minio access-key
- 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
- Save the name of the MinIO remote in an
ENV
variable:
RCLONE_MINIO_CKF_REMOTE=minio-ckf
Restore CKF databases to S3 storage
CKF uses katib-db
and kfp-db
as databases for Katib and Kubeflow pipelines respectively.
- 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.
- Scale up
kfp-db
andkatib-db
.
This step avoids the Primary
database from becoming unavailable during backup:
juju scale-application kfp-db 2
juju scale-application katib-db 2
- Restore
kfp-db
andkatib-db
.
Replace mysql-k8s
with the name of the database you intend to create a backup for in the commands from that guide, e.g., katib-db
instead of mysql-k8s
.
Restore ML metadata using sqlite3
The mlmd
charm uses a SQLite database to store ML metadata generated from Kubeflow pipelines.
- Install the required tools inside the application container:
This step expects the mlmd
application container to have Internet access.
# 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"
- Scale down
kfp-metadata-writer
:
juju scale-application kfp-metadata-writer 0
- Copy the backup file from the shared S3 storage to a local storage:
S3_BUCKET=backup-bucket-2024
RCLONE_S3_REMOTE=remote-s3
MLMD_BACKUP=<backup-file-name-in-s3-storage>
rclone --size-only copy \
$RCLONE_S3_REMOTE:$S3_BUCKET/$MLMD_BACKUP .
- Restore data from a backup file:
Copy the local database file into the application container
kubectl cp -n kubeflow -c $MLMD_CONTAINER \
$MLMD_BACKUP \
$MLMD_POD:/tmp/$MLMD_BACKUP
Move the current database file to a temporary directory:
kubectl exec -n kubeflow $MLMD_POD -c $MLMD_CONTAINER -- \
/bin/bash -c "mv /data/mlmd.db /tmp/mlmd.current"
Restore the database from the backup file:
kubectl exec -n kubeflow $MLMD_POD -c $MLMD_CONTAINER -- \
/bin/bash -c "zcat /tmp/$MLMD_BACKUP | sqlite3 /data/mlmd.db"
- Optionally remove the local backup file:
rm -rf $MLMD_BACKUP
- Scale up
kfp-metadata-writer
:
juju scale-application kfp-metadata-writer 1
Restore mlpipeline
MinIO bucket
Sync all files from the shared S3 storage to minio
:
S3_BUCKET=backup-bucket-2024
RCLONE_S3_REMOTE=remote-s3
RCLONE_BWIDTH_LIMIT=20M
rclone --size-only sync \
--bwlimit $RCLONE_BWIDTH_LIMIT \
$RCLONE_S3_REMOTE:$S3_BUCKET/mlpipeline \
$RCLONE_MINIO_REMOTE:mlpipeline
Restore ML metadata using kubectl
You can also restore ML metadata using kubectl
.
- Scale down
kfp-metadata-writer
:
juju scale-application kfp-metadata-writer 0
- Copy the backup file from the shared S3 storage to a local storage:
S3_BUCKET=backup-bucket-2024
RCLONE_S3_REMOTE=remote-s3
MLMD_BACKUP=<backup-file-name-in-s3-storage>
rclone --size-only copy \
$RCLONE_S3_REMOTE:$S3_BUCKET/$MLMD_BACKUP .
- Restore data from a backup file.
Copy the local database file into the application container:
kubectl cp -n kubeflow -c $MLMD_CONTAINER \
$MLMD_BACKUP \
$MLMD_POD:/tmp/$MLMD_BACKUP
Move the current database file to a temporary directory:
kubectl exec -n kubeflow $MLMD_POD -c $MLMD_CONTAINER -- \
/bin/bash -c "mv /data/mlmd.db /tmp/mlmd.current"
Place the backup file into the data
path:
kubectl exec -n kubeflow $MLMD_POD -c $MLMD_CONTAINER -- \
/bin/bash -c "mv /tmp/$MLMD_BACKUP /data/mlmd.db"
- Optionally remove the local backup file:
rm -rf $MLMD_BACKUP
- Scale up
kfp-metadata-writer
:
juju scale-application kfp-metadata-writer 1