telegraf/plugins/inputs/docker/README.md

# Docker Input Plugin

The docker plugin uses the docker remote API to gather metrics on running
docker containers. You can read Docker's documentation for their remote API
[here](https://docs.docker.com/engine/reference/api/docker_remote_api_v1.20/#get-container-stats-based-on-resource-usage)

The docker plugin uses the excellent
[fsouza go-dockerclient](https://github.com/fsouza/go-dockerclient) library to
gather stats. Documentation for the library can be found
[here](https://godoc.org/github.com/fsouza/go-dockerclient) and documentation
for the stat structure can be found
[here](https://godoc.org/github.com/fsouza/go-dockerclient#Stats)

### Configuration:

```
# Read metrics about docker containers
[[inputs.docker]]
  # Docker Endpoint
  #   To use TCP, set endpoint = "tcp://[ip]:[port]"
  #   To use environment variables (ie, docker-machine), set endpoint = "ENV"
  endpoint = "unix:///var/run/docker.sock"
  # Only collect metrics for these containers, collect all if empty
  container_names = []
```

### Measurements & Fields:

Every effort was made to preserve the names based on the JSON response from the
docker API.

Note that the docker_cpu metric may appear multiple times per collection, based
on the availability of per-cpu stats on your system.

- docker_mem
    - total_pgmafault
    - cache
    - mapped_file
    - total_inactive_file
    - pgpgout
    - rss
    - total_mapped_file
    - writeback
    - unevictable
    - pgpgin
    - total_unevictable
    - pgmajfault
    - total_rss
    - total_rss_huge
    - total_writeback
    - total_inactive_anon
    - rss_huge
    - hierarchical_memory_limit
    - total_pgfault
    - total_active_file
    - active_anon
    - total_active_anon
    - total_pgpgout
    - total_cache
    - inactive_anon
    - active_file
    - pgfault
    - inactive_file
    - total_pgpgin
    - max_usage
    - usage
    - failcnt
    - limit
- docker_cpu
    - throttling_periods
    - throttling_throttled_periods
    - throttling_throttled_time
    - usage_in_kernelmode
    - usage_in_usermode
    - usage_system
    - usage_total
    - usage_percent
- docker_net
    - rx_dropped
    - rx_bytes
    - rx_errors
    - tx_packets
    - tx_dropped
    - rx_packets
    - tx_errors
    - tx_bytes
- docker_blkio
    - io_service_bytes_recursive_async
    - io_service_bytes_recursive_read
    - io_service_bytes_recursive_sync
    - io_service_bytes_recursive_total
    - io_service_bytes_recursive_write
    - io_serviced_recursive_async
    - io_serviced_recursive_read
    - io_serviced_recursive_sync
    - io_serviced_recursive_total
    - io_serviced_recursive_write

### Tags:

- All stats have the following tags:
    - cont_id (container ID)
    - cont_image (container image)
    - cont_name (container name)
- docker_cpu specific:
    - cpu
- docker_net specific:
    - network
- docker_blkio specific:
    - device

### Example Output:

```
% ./telegraf -config ~/ws/telegraf.conf -input-filter docker -test
* Plugin: docker, Collection 1
> docker_mem,cont_id=5705ba8ed8fb47527410653d60a8bb2f3af5e62372297c419022a3cc6d45d848,\
cont_image=spotify/kafka,cont_name=kafka \
active_anon=52568064i,active_file=6926336i,cache=12038144i,fail_count=0i,\
hierarchical_memory_limit=9223372036854771712i,inactive_anon=52707328i,\
inactive_file=5111808i,limit=1044578304i,mapped_file=10301440i,\
max_usage=140656640i,pgfault=63762i,pgmajfault=2837i,pgpgin=73355i,\
pgpgout=45736i,rss=105275392i,rss_huge=4194304i,total_active_anon=52568064i,\
total_active_file=6926336i,total_cache=12038144i,total_inactive_anon=52707328i,\
total_inactive_file=5111808i,total_mapped_file=10301440i,total_pgfault=63762i,\
total_pgmafault=0i,total_pgpgin=73355i,total_pgpgout=45736i,\
total_rss=105275392i,total_rss_huge=4194304i,total_unevictable=0i,\
total_writeback=0i,unevictable=0i,usage=117440512i,writeback=0i 1453409536840126713
> docker_cpu,cont_id=5705ba8ed8fb47527410653d60a8bb2f3af5e62372297c419022a3cc6d45d848,\
cont_image=spotify/kafka,cont_name=kafka,cpu=cpu-total \
throttling_periods=0i,throttling_throttled_periods=0i,\
throttling_throttled_time=0i,usage_in_kernelmode=440000000i,\
usage_in_usermode=2290000000i,usage_system=84795360000000i,\
usage_total=6628208865i 1453409536840126713
> docker_cpu,cont_id=5705ba8ed8fb47527410653d60a8bb2f3af5e62372297c419022a3cc6d45d848,\
cont_image=spotify/kafka,cont_name=kafka,cpu=cpu0 \
usage_total=6628208865i 1453409536840126713
> docker_net,cont_id=5705ba8ed8fb47527410653d60a8bb2f3af5e62372297c419022a3cc6d45d848,\
cont_image=spotify/kafka,cont_name=kafka,network=eth0 \
rx_bytes=7468i,rx_dropped=0i,rx_errors=0i,rx_packets=94i,tx_bytes=946i,\
tx_dropped=0i,tx_errors=0i,tx_packets=13i 1453409536840126713
> docker_blkio,cont_id=5705ba8ed8fb47527410653d60a8bb2f3af5e62372297c419022a3cc6d45d848,\
cont_image=spotify/kafka,cont_name=kafka,device=8:0 \
io_service_bytes_recursive_async=80216064i,io_service_bytes_recursive_read=79925248i,\
io_service_bytes_recursive_sync=77824i,io_service_bytes_recursive_total=80293888i,\
io_service_bytes_recursive_write=368640i,io_serviced_recursive_async=6562i,\
io_serviced_recursive_read=6492i,io_serviced_recursive_sync=37i,\
io_serviced_recursive_total=6599i,io_serviced_recursive_write=107i 1453409536840126713
```