1. Why Connect 3FS to Fluid 3FS is a distributed storage system open-sourced by DeepSeek. Its exceptionally impressive performance test results have made it a hot topic, and its star count has risen rapidly. The team I work on has also been tracking 3FS technically, looking for suitable application scenarios to get the most value out of our AI hardware infrastructure.

1. Setting Environment Variables 1 2 export NAMESPACE=xxx export PVC=xxx 2. The Dataset Will Not Become Ready 2.1 Fluid Component Problems 1 kubectl -n fluid-system get pod -o wide | grep -v "Running" There may be cases where something did not start up properly. 2.2 Abnormally Terminated Datasets Abnormal resources can cause Fluid resources to restart repeatedly, and manual intervention is required to delete them.

This post uses Fluid 1.0. In later versions the configuration file paths changed, so adjust according to your actual situation. 1. Building the Image 1.1 fluid_config_init.py 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 #!

1. Jindo Mounting OBS Set the environment variables 1 2 3 4 export ENDPOINT=obs.cn-north-4.myhuaweicloud.com export BUCKET= export AK= export SK= Create the credentials 1 2 3 4 5 6 7 8 9 10 kubectl apply -f - <<EOF apiVersion: v1 kind: Secret metadata: name: myobssecret type: Opaque stringData: fs.obs.accessKeyId: ${AK} fs.

1. Jindo Directly Accelerating OSS Set the environment variables 1 2 3 4 5 6 7 export ENDPOINT=oss-cn-beijing-internal.aliyuncs.com export BUCKET= export AK= export SK= export NAMESPACE=default export PVC=myoss-jindo export URI=datacenter Create the credentials 1 2 3 4 5 6 7 8 9 10 11 kubectl apply -f - <<EOF apiVersion: