blinkbear's repositories
cadvisor
Analyzes resource usage and performance characteristics of running containers.
cluster-resource-forecast
This repository contains experimental tools we developed to forecast a clusters' resource (CPU or memory) usage.
ContainerBayesianNetwork
Use Bayesian network to analyse the fault about docker container
ctcdecode
PyTorch CTC Decoder bindings
DeathStarBench
Open-source benchmark suite for cloud microservices
faas-cli
Official CLI for OpenFaaS
INFless
The source code of INFless，a native serverless platform for AI inference.
keda
KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
kube-batch
A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC
kubernetes
Production-Grade Container Scheduling and Management
node_exporter
Exporter for machine metrics
of-watchdog
Reverse proxy for STDIO and HTTP microservices
onnxt5
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
open-simulator
K8s cluster simulator for capacity planning
Python-100-Days
Python - 100天从新手到大师
runc
CLI tool for spawning and running containers according to the OCI specification
scheduler-plugins
Repository for out-of-tree scheduler plugins based on scheduler framework.
serving
Kubernetes-based, scale-to-zero, request-driven compute
SocialNetwork
SocialNetwork Kubernetes version
tensor_parallel
Automatically split your PyTorch models on multiple GPUs for training & inference
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs