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 Argo Argo is an open source project that provides a set of tools on Kubernetes for building and running applications. The core components of Argo mainly include the following: Argo CD Argo CD is a GitOps-based continuous delivery tool that allows users to declaratively manage the deployment of applications in a Kubernetes cluster.

1. What the Ops Project Is I introduced a commonly used Ops tool in an earlier article. The design philosophy behind Ops is that the core of an operations tool lies in text distribution and script execution; once these two capabilities are in place, they can satisfy operational requirements. My main operational targets at the moment are Host machines and Kubernetes clusters, so at the OpsObject layer I implemented the Host and Cluster objects, corresponding to hosts and Kubernetes clusters respectively.

1. Project Overview kind is a tool for managing Kubernetes clusters using containers. Project address https://github.com/kubernetes-sigs/kind . It is mainly used for: Local development environments Temporary environments for learning Automated testing 2. Installing kind macOS 1 brew install kind Linux 1 2 curl -Lo /usr/local/bin/kind https://kind.sigs.k8s.io/dl/v0.21.0/kind-linux-amd64 chmod +x /usr/local/bin/kind 3. Creating a kind Cluster If you have a PROXY configured locally, it is recommended to reset the environment variables before creating:

1. dcgm-exporter dcgm-exporter is the GPU monitoring tool provided by the official NVIDIA community. Project address https://github.com/NVIDIA/dcgm-exporter 1.1 Installation Add the Helm chart repository 1 helm repo add gpu-helm-charts https://nvidia.github.io/dcgm-exporter/helm-charts 1 helm repo update Install 1 2 3 4 5 helm install dcgm-exporter gpu-helm-charts/dcgm-exporter --namespace monitor --create-namespace \ --set serviceMonitor.enabled=false \ --set image.