Posts
Creating a PVC Backed by JuiceFS (Enterprise Edition) in Kubernetes
· β˜• 4 min read
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.

Creating a PVC Backed by JuiceFS (Community Edition) in Kubernetes
· β˜• 3 min read
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.

Introduction to Argo Core Components
· β˜• 7 min read
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.

Ops Adds Server and UI Services
· β˜• 3 min read
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.

Speeding Up Model Inference with TensorRT
· β˜• 4 min read
1. What Is TensorRT TensorRT is a C++ library mainly used for high-performance inference acceleration on NVIDIA GPUs. It provides both a C++ API and a Python API for integration. The mainstream deep learning frameworks TensorRT supports are: Caffe, where TensorRT can read the prototxt format directly TensorFlow, where the