This guide describes how to back up the Charmed Kubeflow (CKF) control plane data to 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.
- 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
Back up 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.
See 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
- Create a backup for each database.
Replace mysql-k8s
with the name of the database you intend to create a backup for in the commands from that guide.
Back up 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 $MLMD_CONTAINER -- \
/bin/bash -c "apt update && apt install sqlite3 -y"
- Scale down
kfp-metadata-writer
. This is done to prevent any additional writes tomlmd
.
juju scale-application kfp-metadata-writer 0
- Perform a database backup.
This moves all the database contents into a compressed text file inside the mlmd-0
container:
MLMD_BACKUP=mlmd-$(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"
- Copy the backup file to local storage:
kubectl cp -n kubeflow -c $MLMD_CONTAINER \
$MLMD_POD:/tmp/$MLMD_BACKUP \
./$MLMD_BACKUP
- Copy the
mlmd
backup data to the S3 storage:
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
data from your local machine:
rm -rf $MLMD_BACKUP
- Scale up
kfp-metadata-writer
:
juju scale-application kfp-metadata-writer 1
Back up 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
Back up ML metadata with kubectl
You can also perform the backup using kubectl
.
- Scale down
kfp-metadata-writer
. This is done to prevent any additional writes tomlmd
:
juju scale-application kfp-metadata-writer 0
- Copy the backup file to local storage:
# 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
- Copy the
mlmd
backup data to the S3 storage:
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’ backup data from your local machine:
rm -rf $MLMD_BACKUP
- Scale up
kfp-metadata-writer
:
juju scale-application kfp-metadata-writer 1