1. Creating a Dataset 1 2 3 4 5 6 7 8 9 10 kubectl apply -f - <<EOF apiVersion: data.fluid.io/v1alpha1 kind: Dataset metadata: name: nfs-demo spec: mounts: - mountPoint: x.x.x.x:/x-x/ name: nfs-demo EOF 2. Creating a Runtime 1 2 3 4 5 6 7 8 9 10 11 12 13 14 kubectl apply -f - <<EOF apiVersion: data.

This post mainly records the script for creating an enterprise-edition JuiceFS PVC, to make configuration quick. 1. Set Environment Variables 1.1 Basic Configuration 1 2 3 export NAMESPACE= export PVC_NAME= export JUICEFS_VOLUME= 1.2 JuiceFS Credentials 1 2 3 export TOKEN= export ACCESS_KEY= export SECRET_KEY= 1.3 JuiceFS Service Configuration 1 2 export BASE_URL=http://x.

This post mainly records the script for creating a community-edition JuiceFS PVC, to make configuration quick. For component deployment, see Managing Data in Kubernetes with Fluid and JuiceFS. 1. Set Environment Variables Bucket configuration 1 2 3 4 5 6 export ACCESS_KEY= export SECRET_KEY= export BUCKET= export ENDPOINT=ks3-cn-beijing-internal.ksyun.com export BUCKET_ENPOINT=$BUCKET.

1. Introduction to Fluid Below is the Fluid architecture diagram from https://github.com/fluid-cloudnative/fluid: Fluid abstracts two concepts: Dataset, a collection of data, the abstraction from the user’s point of view Runtime, the abstraction of the real services such as data storage and acceleration Fluid mainly solves the problems of using traditional caching systems on Kubernetes: