9c3903ca47
The lib module is the subset of cAdvisor that the kubelet vendors, and the kubelet does not need cAdvisor to watch for OOMs. It reads /dev/kmsg itself and supplies container_oom_events_total on its own, so the OOM machinery does not belong in lib. Remove watchForNewOoms and the per-container OOM counter from lib/manager, and move the kmsg reader (utils/oomparser) from lib to the root module, which the binary depends on. lib no longer imports github.com/euank/go-kmsg-parser. The cAdvisor binary keeps its OOM events and the container_oom_events_total metric. cmd/internal/api now runs the OOM watcher, feeds OOM and OOM-kill events to the event manager, and wraps the manager so the prometheus collector reports the per-container OOM count. Signed-off-by: Davanum Srinivas <davanum@gmail.com> |
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| build | ||
| client | ||
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| collector | ||
| container | ||
| deploy | ||
| devicemapper | ||
| docs | ||
| events | ||
| fs | ||
| info | ||
| integration | ||
| lib | ||
| nvm | ||
| perf | ||
| resctrl | ||
| summary | ||
| utils | ||
| validate | ||
| zfs | ||
| .gitignore | ||
| .golangci.yml | ||
| AUTHORS | ||
| CHANGELOG.md | ||
| CONTRIBUTING.md | ||
| doc.go | ||
| go.mod | ||
| go.sum | ||
| LICENSE | ||
| logo.png | ||
| Makefile | ||
| README.md | ||
| test.htdigest | ||
| test.htpasswd | ||
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.
Quick Start: Running cAdvisor in a Docker Container
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:
VERSION=0.55.1 # use the latest release version from https://github.com/google/cadvisor/releases
sudo docker run \
--volume=/:/rootfs:ro \
--volume=/var/run:/var/run:ro \
--volume=/sys:/sys:ro \
--volume=/var/lib/docker/:/var/lib/docker:ro \
--volume=/dev/disk/:/dev/disk:ro \
--publish=8080:8080 \
--detach=true \
--name=cadvisor \
--privileged \
--device=/dev/kmsg \
ghcr.io/google/cadvisor:$VERSION # for versions prior to v0.53.0, use gcr.io/cadvisor/cadvisor instead
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, or 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.
For Kubernetes users, cAdvisor can be run as a daemonset. See the instructions for how to get started, and for how to kustomize it to fit your needs.
Building and Testing
See the more detailed instructions in the build page. This includes instructions for building and deploying the cAdvisor Docker image.
Exporting stats
cAdvisor supports exporting stats to various storage plugins. See the documentation for more details and examples.
Web UI
cAdvisor exposes a web UI at its port:
http://<hostname>:<port>/
See the documentation for more details.
Remote REST API & Clients
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.
Roadmap
cAdvisor aims to improve the resource usage and performance characteristics of running containers. Today, we gather and expose this information to users. In our roadmap:
- Advise on the performance of a container (e.g.: when it is being negatively affected by another, when it is not receiving the resources it requires, etc).
- Auto-tune the performance of the container based on previous advise.
- Provide usage prediction to cluster schedulers and orchestration layers.
Community
Contributions, questions, and comments are all welcomed and encouraged! cAdvisor developers hang out on Slack in the #sig-node channel (get an invitation here). We also have discuss.kubernetes.io.
Please reach out and get involved in the project, we're actively looking for more contributors to bring on board!