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Tobias Schmidt e76096d4f6 Provide option to control Prometheus labels
This change generalizes the existing ContainerNameToLabelsFunc to allow the user to fully control all labels attached to exported Prometheus metrics. The existing behavior is available as DefaultContainerLabelsFunc and is used if no custom function is provided.

This will allow Kubernetes to filter out its internal Docker labels.
2016-08-22 17:26:36 -04:00
api Make manager multi-container functions robust to partial failures 2016-05-16 13:25:33 -07:00
build Move presubmit to a make rule. Update docs to not use make all unless necessary. 2016-07-11 17:27:24 -07:00
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collector Update collectors to use a customized httpClient. 2016-07-21 16:00:21 -04:00
container GetSpec missing memory reservation 2016-08-16 23:26:46 +08:00
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devicemapper Make ThinPoolWatcher loglevel consistent 2016-07-23 07:07:42 -04:00
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Godeps Bump up go-systemd to 4484981625c1a6a2ecb40a390fcb6a9bcfee76e3. 2016-07-20 20:41:21 -07:00
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metrics Provide option to control Prometheus labels 2016-08-22 17:26:36 -04:00
pages Added per-subcontainer charts to the UI. 2016-05-10 14:23:32 -07:00
storage Added CPU Usage details to statsd (#1393) 2016-08-01 17:01:10 -07:00
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vendor Bump up go-systemd to 4484981625c1a6a2ecb40a390fcb6a9bcfee76e3. 2016-07-20 20:41:21 -07:00
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cadvisor.go Update collectors to use a customized httpClient. 2016-07-21 16:00:21 -04:00
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storagedriver.go Inline storageDriver usage & fix error message 2016-05-05 17:13:41 -07:00
test.htdigest Added HTTP Auth and HTTP Digest authentication #302 2014-12-11 17:25:43 +05:30
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cAdvisor

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.

cAdvisor

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:

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 \
  google/cadvisor: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.

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 the google-containers Google Groups mailing list.