Bao Jiangnan's repositories
apis
The API (CRD) of Volcano
basefs
One part of base ClusterImage, containing static file like config file and essential scripts
containerd
An open and reliable container runtime
katalyst-core
Katalyst aims to provide a universal solution to help improve resource utilization and optimize the overall costs in the cloud. This is the core components in Katalyst system, including multiple agents and centralized components
spark-on-k8s-operator
Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
volcano
A Kubernetes Native Batch System (Project under CNCF)
buildah
A tool that facilitates building OCI images.
buildkit
concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit
cluster-resource-forecast
This repository contains experimental tools we developed to forecast a clusters' resource (CPU or memory) usage.
clusterdata
cluster data collected from production clusters in Alibaba for cluster management research
distribution
The toolkit to pack, ship, store, and deliver container content
HolisticTraceAnalysis
A library to analyze PyTorch traces.
justadogistaken.github.io
Maintain My Blog
katalyst-api
katalyst aims to provide a universal solution to help improve resource utilization and optimize the overall costs in the cloud. This repo is the core api for Katalyst, including crd, clientSet, informer, pd, general const variables and utils
kubefin
Unified cost allocation insights and optimization for Kubernetes across multi-cloud and multi-cluster
kubernetes
Production-Grade Container Scheduling and Management
moby
Moby Project - a collaborative project for the container ecosystem to assemble container-based systems
parca
Continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing reliability.
raft
implement raft in go
resource-exporter
Resource Exporter for volcano scheduling, e.g. NUMA-Aware scheduling.
sealer.cool
Website repo for http://sealer.cool
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
zjuthesis
Zhejiang University Graduation Thesis LaTeX Template