Cambricon MLU Exporter

Prometheus exporter for Cambricon MLU metrics, written in Go with pluggable metric collectors.

Installation and Usage

Preparing your MLU Nodes

It is assumed that the Cambricon driver and neuware are installed on your MLU Nodes.

Download and build

git clone https://github.com/Cambricon/mlu-exporter.git
cd mlu-exporter

Set the following environment variables if you need.

env	description
APT_PROXY	apt proxy address
GOPROXY	golang proxy address
ARCH	target platform architecture, amd64 or arm64, amd64 by default
LIBCNDEV	absolute path of the libcndev.so binary, neuware installation path by default

If you want to cross build, make sure docker version >= 19.03.

for amd64:

./build_image.sh

for arm64:

export ARCH=arm64
./build_image.sh

Please make sure Cambricon neuware is installed in your compiling environment. It uses libcndev.so binary in your compiling machine and generates Cambricon MLU exporter docker images under folder ./image.

Usage

Docker

Load the image you built in ./image folder on your node.

Use the following command to start the exporter.

docker run -d \
-p 30108:30108 \
--privileged=true \
cambricon-mlu-exporter:v1.5.0

Then use the following command to get the metrics.

curl localhost:30108/metrics

If you want to configure command args by yourself , see the following example:

docker run -d \
-p 30108:30108 \
-v examples/metrics.yaml:/var/lib/mlu-exporter/metrics.yaml \
--privileged=true \
cambricon-mlu-exporter:v1.5.0 \
mlu-exporter \
--metrics-config=/var/lib/mlu-exporter/metrics.yaml \
--metrics-path=/metrics \
--port=30108 \
--hostname=hostname \
--metrics-prefix=ai

Command Args Description

arg	description
metrics-config	configuration file of MLU exporter metrics
metrics-path	metrics path of the exporter service
hostname	machine hostname
port	exporter service port
metrics-prefix	prefix of all metric names
collector	collector names, cndev by default

available collectors:

• cndev: collects basic MLU metrics
• podresources: collects MLU usage metrics in containers managed by Kubernetes

And set the metrics configuration file as you like, see examples/metrics.yaml for an example.

Kubernetes And Prometheus

Load the image you built in ./image folder on your node.

kubectl apply -f examples/cambricon-mlu-exporter-cm.yaml
kubectl apply -f examples/cambricon-mlu-exporter-ds.yaml
kubectl apply -f examples/cambricon-mlu-exporter-svc.yaml

use the command to get the endpoint

kubectl get ep -n kube-system -l app=exporter-mlu-monitoring

curl http://<endpoint>/metrics to get the metrics.

And if you want to create a Prometheus service monitor

kubectl apply -f examples/cambricon-mlu-exporter-sm.yaml

Then checkout your Prometheus to get the MLU metrics.

You can also set the command args described above in the MLU exporter daemonset spec. And set the metrics configuration in the MLU exporter configMap.