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Cambricon MLU Exporter

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

Prerequisites

The prerequisites for running Cambricon MLU Exporter:

  • MLU270, MLU270-X5K, MLU220, MLU290, MLU370 devices
  • For MLU 2xx needs driver >= 4.9.13
  • For MLU 3xx needs driver >= 4.20.9
  • For MLU 2xx、3xx needs cntoolkit >= 2.8.2 on your building machine

For MLU driver version before 4.9.13, please use release v1.5.3.

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
BASE_IMAGE mlu exporter base image

Docker should be >= 17.05.0 on your building machine. If you want to cross build, make sure docker version >= 19.03.

for amd64:

GOPROXY=https://goproxy.cn ./build_image.sh

for arm64:

ARCH=arm64 GOPROXY=https://goproxy.cn ./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 \
--pid=host \
-e ENV_NODE_NAME={nodeName} \
cambricon-mlu-exporter:v2.0.11

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:/etc/mlu-exporter/metrics.yaml \
--privileged=true \
--pid=host \
cambricon-mlu-exporter:v2.0.11 \
mlu-exporter \
--metrics-config=/etc/mlu-exporter/metrics.yaml \
--metrics-path=/metrics \
--log-level=info \
--port=30108 \
--hostname=hostname \
--metrics-prefix=mlu \
--collector=cndev \
--collector=host

Command Args Description

arg description
collector collector names, cndev by default
env-share-num vf numbers under env share mode, should set virtual-mode to env-share
hostname machine hostname, or env:"ENV_NODE_NAME"
log-level set log level: trace/debug/info/warn/error/fatal/panic" default:"info"
metrics-config configuration file of MLU exporter metrics
metrics-path metrics path of the exporter service
metrics-prefix prefix of all metric names
port exporter service port
virtual-mode virtual mode, default "", support dynamic-smlu, env-share

available collectors:

  • cndev: collects basic MLU metrics
  • podresources: collects MLU usage metrics in containers managed by Kubernetes. For Kubernetes lower than 1.15, make sure KubeletPodResources feature gate is enabled by setting the feature-gates kubelet option in your kubelet configuration.
  • host: collects host machine metrics

And set the metrics configuration file passed by your metrics-config arg 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

You can also set the command args described above as you like in the MLU exporter daemonset spec.

use the command to get the endpoint

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

curl http://{endpoints}/metrics to get the metrics.

And if you want to create a Prometheus service monitor

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

if you want to create a Prometheus additional scrape configs

kubectl create secret generic additional-scrape-configs --from-file=examples/cambricon-mlu-exporter-additional.yaml

Then checkout your Prometheus to get the MLU metrics.

Group Metrics

In a Kubernetes cluster, if the podresources collector is enabled, you can get namespace/pod/container info of an allocated MLU by the metric mlu_container.

To attach namespace/pod/container info to another MLU metric, use mlu_container as the following example in your Prometheus:

mlu_power_usage * on(uuid) group_right mlu_container

And for env-share VFs:

mlu_utilization * on(uuid,vf) group_right mlu_container

Metrics and Labels

For installation by docker, you can modify the configuration file you passed by metrics-config arg to change metric and label names.

For Kubernetes, you can modify the MLU exporter configMap to change metric and label names.

For MLU370, mlu_temperature does not support cluster temperature, all cluster temperature metrics are set to 0.

Upgrade Notice

Please see changelog for deprecation and breaking changes.