The original can be found here. This fork is for arm support
Fist of all, you need to have Go installed (version 1.6). Then simply run go get -d github.com/Brain-Gamer/cadvisor
to download this repo. Find the downloaded files on your system and navigate to them. To build cAdvisor and the docker image you only need to run deploy/build.sh
. It will compile cAdvisor and build the docker image automatically (the image is named cadvisor:latest
). The dockerfile is also in this directory. If you want to do it step by step you can run make build
to build cAdvisor and make docker
to build the docker image.
To fix the building for arm, I added GOARCH=arm
to the build command here.
This fixed the compiling of cAdvisor for arm (now only for arm). Next I needed to edit the dockerfile to run on arm devices.
It uses the armhf version of alpine linux and some other packages because some of them are not available for arm. Also the glibc wasn't compiled for arm so I searched for a source with glibc for arm. Everything else isn't modified.
cAdvisor (Container Advisor) provides container users an understanding of the resource usage and performance characteristics of their running containers. It is a running daemon that collects, aggregates, processes, and exports information about running containers. Specifically, for each container it keeps resource isolation parameters, historical resource usage, histograms of complete historical resource usage and network statistics. This data is exported by container and machine-wide.
cAdvisor has native support for Docker containers and should support just about any other container type out of the box. We strive for support across the board so feel free to open an issue if that is not the case. cAdvisor's container abstraction is based on lmctfy's so containers are inherently nested hierarchically.
To quickly tryout cAdvisor on your machine with Docker, we have a Docker image that includes everything you need to get started. You can run a single cAdvisor to monitor the whole machine. Simply run:
sudo docker run \
--volume=/:/rootfs:ro \
--volume=/var/run:/var/run:rw \
--volume=/sys:/sys:ro \
--volume=/var/lib/docker/:/var/lib/docker:ro \
--publish=8080:8080 \
--detach=true \
--name=cadvisor \
braingamer/cadvisor-arm:latest
cAdvisor is now running (in the background) on http://localhost:8080
. The setup includes directories with Docker state cAdvisor needs to observe.
Note: If you're running on CentOS, Fedora, RHEL, or are using LXC take a look at our running instructions.
We have detailed instructions on running cAdvisor standalone outside of Docker. cAdvisor running options may also be interesting for advanced usecases. If you want to build your own cAdvisor Docker image see our deployment page.
See the more detailed instructions in the build page. This includes instructions for building and deploying the cAdvisor Docker image.
cAdvisor supports exporting stats to various storage plugins. See the documentation for more details and examples.
cAdvisor exposes a web UI at its port:
http://<hostname>:<port>/
See the documentation for more details.
cAdvisor exposes its raw and processed stats via a versioned remote REST API. See the API's documentation for more information.
There is also an official Go client implementation in the client directory. See the documentation for more information.